Delighted at the opportunity to discuss the current state of patient identification in healthcare with Joe Lavelle (@Resultant) from IntrepidNow Radioand Jared Johnson (@jaredpiano) today via blab. Joe and I had a lengthy discussion about patient ID in healthcare at this year’s HIMSS16 trade show and Joe was gracious enough to follow up our conversation with a formal blab session addressing the topic. Here is a brief summary of what we discussed today:
Joe Lavelle from IntrepidNow Healthcare Radio interviewed us during a blab session today to talk about the current state of patient identification in healthcare.
How does RightPatient® serve its customers?
Clearing up some of the common misunderstandings about the use of biometrics for patient identification in healthcare.
What is the current state of the patient identification market? What are the leading technologies? What are the key issues? How are customers deploying patient ID solutions?
Are their privacy issues related to implementation of patient identification solutions?
A recent guest on my show, a telemedicine company CEO, told Joe that his largest competition is the status quo. Is that also true for RightPatient®?
Grateful for the chance to talk about this critical issue in healthcare and offer insight on solutions and initiatives underway. It was an excellent discussion and we were able to touch on a number of issues affected by inaccurate patient identification including: medical identity theft/healthcare fraud, duplicate medical records/overlays, identifying patients at new touchpoints along the care continuum, the advantages of using photo biometrics for patient ID, the culture of patient ID, patient privacy, and more!
Here is the blab session in its entirety:
Thank you to Joe Lavelle and Jared Johnson for their time today! Stay tuned to the “Resources” section of our Web site for future podcasts, blab sessions, and video interviews.
https://www.rightpatient.com/wp-content/uploads/2016/03/blab-logo.jpg445800John Traderhttps://www.rightpatient.com/wp-content/uploads/2021/04/RightPatient-Logoup.pngJohn Trader2016-03-14 19:37:352021-07-04 12:28:01IntrepidNow Radio Discusses Current State of Patient Identification in Healthcare
Several educational sessions at the 2016 HIMSS conference were dedicated to patient ID in healthcare.
Like most who attended last week’s annual HIMSS conference in Las Vegas, I was a bit overwhelmed at the amount of information, activities, and traffic swirling around the Exhibit Halls and lecture rooms. It’s difficult to not get swallowed up among 40,000+ attendees and even more hard to block out the flashing lights and unbelievably cool technology on display in order to focus on what matters most, but I had a set agenda to follow and stuck to my plan. This was the third HIMSS conference I have attended and I continue to be amazed at the outstanding job that HIMSS staff does to pull off this event each year, which only seems to keep growing in size, scope, and complexity. Hat tip to HIMSS staff who work tirelessly on making this event successful!
Buried among the central themes of advancing interoperability, cybersecurity, population health, consumer and patient engagement, and connected health, there were a handful of educational sessions dedicated to patient identification in healthcare including a presentation by Dr. Raymond Aller, a Clinical Professor at the University of California entitled: “Patient Identification: Biometric or Botched?”
This was the only educational session at the conference that I could see which was 100% dedicated to the use of biometrics for patient ID in healthcare and it was well attended – I counted approximately 75 people who showed up for the session.
Dr. Aller presented what I felt was a fair, unbiased analysis of the patient identification landscape in healthcare and a thorough analysis (including strengths, weaknesses, and deployment examples) of biometric patient identification modalities available to hospitals and health organizations. Here is a brief overview of Dr. Aller’s central themes, and what he presented:
Text based patient identification is simply no longer an efficient or safe way to ID patients: Dr. Aller began his presentation by listing the consequences of failing to properly identify a patient including the patient safety, legal, and liability issues and public relations nightmare misidentification can create. He then demonstrated the drawbacks and limitations of text based patient ID calling it “obsolete” and pointing out that in 2016, hospitals and healthcare organizations can no longer afford the risks associated with this form of identification. He even went so far as to question the viability of continuing to use a master patient index (MPI) as a patient data repository, calling it a “dangerous” and “obsolete” concept.
Healthcare fraud and medical identity theft: Dr. Aller then explained the potentially catastrophic consequences of healthcare fraud, medical identity theft, and duplicate medical records from misidentifying a patient and the additional problems and risks that data merges pose stressing that too often, hospitals spend hundreds of thousands (sometimes millions) of dollars a year cleaning data and merging records without ever having the foresight to implement technology that will sustain patient data integrityin the future. Bottom line? Relying on names and dates of birth (“what you know”) and ID cards (“what you have’) to identify patients is simply no longer safe or sufficient. The patient identification industry is evolving to identify patients by “who they are.”
Biometric patient identification technology overview: The last third of Dr. Aller’s presentation centered on an overview of biometric patient identification technologies available including a detailed description of fingerprint, palm vein, and iris recognition (also referred to as “photo biometrics”). Although Dr. Aller left out some key points about these biometric patient identification modality options (for example, he did not mention the back end biometric matching technology behind each of these modalities and why this is important to understand), his review was fair and provided a relatively unbiased look at the strengths and limitations of using biometrics for patient identification. One interesting point that Dr. Aller made was the fact that in a clinical setting, the use of fingerprint and palm vein biometrics for patient identification creates questions about hygiene and supporting hospital infection control policies because a patient must physcially touch a device for identification – an attribute that is not a factor with iris recognition since it is contactless to the patient.
Conclusion: Dr. Aller concluded his presentation by further extolling on the strengths of biometrics for patient identification but cautioned the audience that biometrics are by no means a panacea due to select psychological, sociological, and physiological limitations. However, Dr. Aller did point out that his research indicated that when presented with the option of using biometrics to protect their medical identities and keep them safe throughout the care continuum, over 99% of patients opt-in to using the technology.
Question and Answer session: Selected attendees asked some very interesting questions during the Q&A session including one woman from a neonatal hospital who lamented that it is very difficult to identify newborns with biometrics since neither palm vein or fingerprint biometrics can be used on children (photo biometrics can be used on any child 10 months or older). Another person asked what biometric technology could be used to verify patient identities over the phone when they call in requesting access to protected health information (PHI).
Several other educational sessions during HIMSS were centered on patient identification in healthcare with several common themes emerging:
The healthcare industry is slowly shifting from credential based to identity centric patient ID.
A central reason that more hospitals aren’t researching how to more effectively identify patients are competing priorities. Healthcare simply has to drop the “wait and see” attitude to more effective patient identification.
198,000 deaths annually can be contributed to patient misidentification.
Patient misidentification resulted in $77 billion Medicare and Medicaid fraud and improper payments.
If I had a crystal ball, I’d venture to say that patient identification will continue to be a hot-button topic in healthcare during 2016 and beyond, largely because so many other elements of care along the continuum are contingent upon it and so many back-end processes and functions (e.g. – revenue cycle management) depend on getting it right.
What lessons did you take away from any of the HIMSS 2016 educational sessions dedicated to patient ID in healthcare?
https://www.rightpatient.com/wp-content/uploads/2016/03/HIMSS-2016.jpg11522048John Traderhttps://www.rightpatient.com/wp-content/uploads/2021/04/RightPatient-Logoup.pngJohn Trader2016-03-09 17:23:532016-03-10 04:11:25Takeaways on Biometric Patient ID from HIMSS 2016 Conference
The following guest post was written by David Cuberos, Enterprise Sales Consultant with RightPatient®
Patient Data Integrity and Duplicate Medical Records
It is a well known fact that inaccurate or incomplete data within a patient’s medical record can be a catastrophic risk to patient safety, not to mention a serious hospital liability. As a result, many hospitals and healthcare organizations across the industry are closely examining the integrity of their health data and taking steps to clean it, most by using third party probabalistic and deterministic de-duplication matching algorithms (often directly from their EHR providers) that search and identify possible duplicates for an automatic or manual merge.
Improving patient data integrity in healthcare requires a multi-layered approach that addresses both data matching and more accurate patient identification.
Several key players in the healthcare industry including CHIME, AHIMA, HIMSS, and major EHR providers are beating the drum to improve patient identification and patient data matching, all important catalysts for the push to improve patient data integrity.
If you are a hospital or healthcare organization that is knee deep in the middle of a health IT initiative to help increase patient data integrity (especially in the context of prepping for participation in a local or regional health information exchange), you may want to stop and reassess your strategy. The rush to cleanse “dirty data” from EHR and EMPI databases is often addressed by relying on an EHR vendor’s de-duplication algorithm which is supposed to search and identify these duplicate medical records and either automatically merge them if similarity thresholds are high, or pass them along to the HIM department for further follow up if they are low.
This could be a very effective strategy to cleanse an EMPI to ensure patient data accuracy moving forward, but is it enough? Is relying on an EHR vendor’s de-duplication algorithm sufficient to achieve high levels of patient data integrity to confidently administer care? It actually isn’t. A more effective strategy combines elements of a strong de-duplication algorithm with strong patient identification technology to ensure that patient data maintains its integrity.
Duplicate Medical Record Rates are Often Understated
The industry push for system-wide interoperability to advance the quality and effectiveness of healthcare for both individuals and the general population has been one of the main catalysts motivating healthcare organizations to clean and resolve duplicates but it also has revealed some kinks in the data integrity armor of many different medical record databases. Most hospitals we speak with either underestimate their actual duplicate medical rate, or do not understand how to properly calculate it based on the actual data they can access. An AHIMA report entitled “Ensuring Data Integrity in Health Information Exchange” stated that:
“…on average an 8% duplicate rate existed in the master patient index (MPI) databases studied. The average duplicate record rate increased to 9.4% in the MPI databases with more than 1 million records. Additionally, the report identified that the duplicate record rates of the EMPI databases studied were as high as 39.1%.”
“High duplicate record rates within EMPI databases are commonly the result of loading unresolved duplicate records from contributing MPI files. EMPI systems that leverage advanced matching algorithms are designed to automatically link records from multiple systems if there is only one existing viable matching record. If the EMPI system identifies two or more viable matching records when loading a patient record, as is the case when an EMPI contains unresolved duplicate record sets, it must create a new patient record and flag it as an unresolved duplicate record set to be manually reviewed and resolved. Therefore, if care is not taken to resolve the existing EMPI duplicate records, the duplicate rate in an EMPI can grow significantly as additional MPI files are added.”
Clearly, the importance of cleansing duplicate medical records from a database cannot be understated in the broader scope of improving patient data integrity but relying on an EHR vendor’s probabilistic matching algorithm as the only tool to clean and subsequently maintain accurate records may not always be the most effective strategy. Instead, healthcare organizations should consider a multi-layered approach to improving patient data integrity beyond relying exclusively on an EHR vendor’s de-duplication algorithm. Here’s why.
Why Patient Data Integrity is a Multi-Layered Approach
Often not clearly explained to healthcare organizations, EHR de-duplication algorithms allow end users to set matching thresholds to be more or less strict, which comes with trade-offs. The more strict the threshold is set, the less chance of a false match but the higher chance of a false reject. The less strict the algorithm is set, the lower the chance of a false reject but the higher the chance of false acceptance.
Translation: Often times hospitals who say they have a low duplicate medical record rate might have a strict false acceptance rate (FAR) threshold setting in their de-duplication algorithm. That may mean that there could be a significant amount of unknown duplicate medical records that are being falsely rejected. Obviously, this is a concern because these databases must be able to identify virtually every single duplicate medical record that may exist in order to achieve the highest level of patient data integrity.
So, what can healthcare organizations do to ensure they are not only holistically addressing duplicate medical record rates, but also adopting technology that will maintain high patient data integrity levels moving forward? One answer is to implement a stronger de-duplication algorithm that has the ability to “key” and link medical records across multiple healthcare providers on the back end, and deploying a technology such as biometrics for patient identification on the front end to ensure that not only is care attribution documented to the accurate medical record, but a provider has the ability to view all patient medical data prior to treatment.
For example, many credit bureaus offer big data analytics solutions that can dig deep into a medical record database to better determine what identities are associated with medical records. These agencies are experts in identity management with access to sophisticated and comprehensive databases containing the identification profiles for millions and millions of patients — databases that are reliable, highly accurate, and secure with current and historical demographic data.
Once data is analyzed by these agencies, they are able to assign a “key” to match multiple medical records for the same patient within a single healthcare organization and across unaffiliated healthcare organizations to create a comprehensive EHR for any patient. Offering a unique ability to augment master patient index (MPI) matching capabilities with 3rd party data facilitates more accurate matching of medical records across disparate health systems and circumvents the problem of MPIs assigning their own unique identifiers to individual patients that are different than unaffiliated healthcare organizations that have their own MPI identifiers.
Benefits of using a third party big data analytics solution that has the ability to “key” medical records for more accurate patient data matching at a micro level include:
More accurate identification of unique patient records resulting in a more complete medical record and improved outcomes
Prevention of duplicate medical records and overlays at registration reduces the cost of ongoing MPI cleanups
Medical malpractice risk mitigation
Reduced patient registration times
The ability to more accurately link the most current insurance coverage patient information for more accurate billing
On the marco level, benefits include:
Positive patient identification for eligibility verification, billing, coordination of benefits, and reimbursement
Improved care coordination
Information and record keeping organization
Linkage of lifelong health records across disparate healthcare facilities
Aggregation of health data for analysis and research
Accurately aggregating patient federated data via a HIE
Conclusion
We have long championed the idea that improving patient data integrity can never be achieved in the absence of establishing patient identification accuracy or relying on EHR vendor de-duplication algorithms as the single resource to clean an MPI database. Hospitals and healthcare organizations that are truly committed to cleansing duplicate medical records from their databases and preventing them from reoccurring through more accurate patient identification must consider deploying stronger front and back end solutions that have the ability to more comprehensively identify and resolve these dangers to patient safety. Why not leverage the clout and reach of these big data analytics solutions to more effectively improve patient data integrity instead of putting all of your eggs in an EHR vendor’s de-duplication algorithm?
What other strategies have you seen as effective methods to increase patient data integrity in healthcare?
David Cuberos is an Enterprise Sales Consultant with RightPatient® helping hospitals and healthcare organizations realize the benefits of implementing biometrics for patient identification to; increase patient safety, eliminate duplicate medical records and overlays, and prevent medical identity theft and healthcare fraud.
https://www.rightpatient.com/wp-content/uploads/2016/02/Patient-data-integrity-and-patient-data-matching-in-healthcare-is-possible-with-RightPatient.jpg445800John Traderhttps://www.rightpatient.com/wp-content/uploads/2021/04/RightPatient-Logoup.pngJohn Trader2016-02-15 19:50:462021-07-04 12:13:31Achieving Higher Patient Data Integrity Requires a Multi-Layered Approach
Healthcare Scene’s John Lynn hosts a blab conversation on the topic of patient matching in healthcare with Michael Trader and Beth Just.
Our President Michael Trader was grateful for opportunity to discuss patient matching and patient identification in healthcare with Beth Just from Just Associates during John Lynn’s blab session earlier today. The discussion covered a wide range of topics including:
— How big is the patient identification problem in healthcare? — The continuing problem of duplicate medical records in healthcare and strategies to improve and sustain patient data integrity — Describing the availability and measuring the success of existing patient identification solutions in healthcare — Would a national patient identifier help or would the existing challenges still apply? — Why can’t the current solutions get to 100% patient matching? — How does the CHIME $1 million National Patient ID Challenge work?Is this challenge achievable?
What materialized was an excellent discussion on patient identification in healthcare with both Michael and Beth offering intelligent insight on the problems that exist, solutions built to address the problems, and what it truly means to achieve 100% patient ID accuracy. Take a moment to watch the blab session here:
The following post was submitted by Brad Marshall, Enterprise Development Consultant with RightPatient®
AHIMA Sheds Light on Patient Matching Problems in Healthcare
The American Health Information Management Society (AHIMA) released details of a survey yesterday that revealed over half of Health Information Management (HIM) professionals still spend a significant amount of time reconciling duplicate medical records at their respective healthcare facilities. The survey went on to reveal some very interesting statistics on patient matching and linking patient records, illustrating the burden that duplicate medical records have not only on HIM staff, but the dangers care providers face who increasingly rely on access to accurate, holistic patient data to provide safe, quality care. One particular stat that jumped out at us was:
“…less than half (47 percent) of respondents state they have a quality assurance step in their registration or post registration process, and face a lack of resources to adequately correct duplicates.”
A recent survey of HIM professionals by AHIMA illustrates the problems that duplicate medical records have on accurate patient matching in healthcare.
This is an area of particular concern due to the fact that our research has shown that many healthcare facilities spend tens, sometimes hundreds of thousands of dollars per year reconciling duplicate medical records but very few have technology in place to prevent duplicates in the future. It’s encouraging that accurate patient matching in healthcare seems to finally be getting the attention it deserves, due to the digitization of the industry, the shift change from fee-for-service to a value based payment system and a burgeoning healthcare ecosystem laser focused on improving both individual outcomes and population health. AHIMA’s survey supports this assertion by stating:
“Accurate patient matching “underpins and enables the success of all strategic initiatives in healthcare…”
Equally concerning is the fact that less than half of HIM professionals surveyed have any type of patient registration quality assurance policy in place and only slightly over half of survey respondents could accurately say what their duplicate medical rate actually is. Not to mention the fact that HIM professionals spend entirely too much of their time reconciling duplicate medical records, with 73% reporting that they work duplicates “at a minimum of weekly.”
As more healthcare organizations and facilities begin to understand that accurate patient matching has a major impact on other downstream activities, it is encouraging that the issue is finally getting the attention it deserves helped in part by the efforts of AHIMA, and CHIME’s national patient identification challenge which is scheduled to kick off this month. It’s clear that the healthcare industry is slowly coming to the realization that many new initiatives borne from the HiTech Act and Meaningful Use (e.g. – population health, ACOs, health information exchanges, interoperability) don’t really have any hope to succeed in the absence of accurate patient identification.
Duplicate Reconciliation Unnecessary Burden on HIM?
Early last year, we wrote a blog post on How Accurate Patient Identification Impacts Health Information Management (HIM) which highlights the exorbitant amount of time HIM spends reconciling duplicates and the opportunity cost this brings. For example, time spent on duplicate clean up and reconciliation could instead be allocated to coding for reimbursement and preparing, indexing, and imaging all paper medical records – a critical component in the effort to capture and transfer as much health data as possible to a patient’s EHR.
The fact of the matter is that as health data integrity stewards and medical record gatekeepers, HIM professionals are better served spending their time ensuring proper and accurate reimbursement and medical record accuracy then reconciling duplicates which should have never been created in the first place. HIM staff perform one of if not the most critical functions in healthcare by ensuring health data integrity, especially in light of the increasing reliance of often disparate healthcare providers need to access a complete medical record that includes as much information as possible.
As we noted in the post last January:
“…many hospitals have expanded responsibilities vis-à-vis Meaningful Use, EHR implementation, and meeting Affordable Care Act requirements, and it has become disadvantageous to continue devoting any time at all to duplicate medical record and overlay reconciliation. Biometric patient identification solutions open the door to re-allocation of HIM FTEs to more critical functions such as coding, reimbursement, and reporting. Simply put, implementing biometrics during patient registration is opening the door for HIM departments across the industry to provide a larger and more productive support role to meet the shifting sands of reimbursement and address the need to move towards quality vs. quantity of care.”
Conclusion
We could not have summed up the issue of duplicate medical record creation and reconciliation and inaccurate patient matching in healthcare more succinctly than this quote from AHIMA in the survey summary:
“Reliable and accurate calculation of the duplicate rate is foundational to developing trusted data, reducing potential patient safety risks and measuring return on investments for strategic healthcare initiatives.”
Trusted data. Isn’t this the backbone of the new healthcare paradigm? Certainly we can’t expect to achieve many of the purported advances in healthcare in the absence of clean, accurate health data. It’s time to eliminate duplicate medical records forever, and establish cohesive, quality assured patient matching in healthcare.
What are your biggest takeaways from the AHIMA report on accurate patient matching in healthcare?
Brad Marshall is an Enterprise Development Consultant with RightPatient®. With several years of experience implementing both large and small scale biometric patient identification projects in healthcare, Brad works closely with key hospital executives and front line staff to ensure project success.
https://www.rightpatient.com/wp-content/uploads/2016/01/HCCH-medical_records.jpg600800John Traderhttps://www.rightpatient.com/wp-content/uploads/2021/04/RightPatient-Logoup.pngJohn Trader2016-01-07 16:31:582021-06-30 14:19:26AHIMA Survey on Patient Matching Illustrates HIM Burdens, Frustrations
The following post was submitted by Jeremy Floyd, Healthcare Director with RightPatient®
“The only source of knowledge is experience.” — Albert Einstein
Investing in health IT technology is a complex process which often involves evaluating multiple vendor solutions before ultimately deciding to make an investment. Steering committees and hospital evaluation teams take meticulous care to carefully assess the pros and cons of each solution to determine the best fit for their organization. One key vendor attribute that should be included in the evaluation process is experience. However, the reality of health IT today is that a large swath of health IT technologies are brand new, borne from the massive shift to digital healthcare spurred by the HITECH Act and Meaningful Use. Consequently, many vendors don’t have a substantial track record of experience in their speciality to evaluate because their solutions are brand new and only recently entered the market.
Evaluating experience is an important factor when deciding which biometric patient identification solution to implement.
I am often asked at trade shows and conventions about our experience in biometrics and how that shaped our strategy when we developed RightPatient® – the healthcare industry’s most comprehensive patient identification solution that increases patient safety, reduces costs, improves the quality of care, and enhances the patient experience. People want to know how our past experience and long track record in global biometric identification management projects helped shape our patient identification platform and what lessons we learned from other verticals where biometrics is used that we were able to incorporate into RightPatient®. My answer is always the same…experience in biometrics matters. A lot. Here’s why:
— Experience breeds innovation – When we embarked on the journey to develop a biometric patient identification solution for the healthcare industry, we carefully studied our past experience with biometric deployments in different verticals (border control, voter registration, law enforcement, workforce management, national ID, financial services, single sign-on) to determine what we could learn from their success that would be integral ingredients for RightPatient®. The ability and flexibility to innovate jumped out as one of the most important deployment characteristics we knew RightPatient® needed – in other words, the ability to innovate as a patient identification vendor by consistently improving our platform to addresses the dynamic, and constantly evolving needs of the industry.
For example, we identified the growing concern from hospital staff about the need to develop a wireless camera to identify patients bedside, or in special situations (e.g. handicapped patients) – a device unencumbered by USB cables and free from the often crowded workstation on wheels (WOW). We listened to customer feedback, leveraged our technological expertise in biometrics, and developed a wireless camera with a sleek, modern design and touchscreen interface combined with fast photo capture and identification.
Innovation helps bring continuity to the fragmented healthcare market. It is the responsibility of any healthcare technology vendor to consistently cultivate new ideas that are a direct response to the evolving challenges healthcare systems face.
— Experience brings variety – The ability to offer a choice of biometric hardware modalities for hospitals to use is another great example of how our experience in biometrics reminded us that this is not a “one-size-fits-all” technology. Offering a choice of biometric modalities to use for patient identification is important because although most biometric hardware devices work reliably on a large percentage of the population, factors such as skin integrity, age, and ethnicity can negatively affect the ability of these devices to capture biometric attributes for 100% of the patient population.
In addition, the use of a single biometric modality for patient identification in the modern healthcare age ignores the reality that effective patient ID must be looked at holistically, and technology implemented simply must have the ability to identify patients at ANY point along the care continuum – whether that is in person at a hospital or in a virtual environment such as a telemedicine or using a patient portal. Instead of pigeonholing hospitals into using one modality, instead we offer a variety of modalities that can be used simultaneously to meet the new demands of accurate patient identification.
— Experience makes system integration seamless: 13 years of experience in biometrics has provided us with deep experience and expertise in system integration. Experience that taught us the importance of developing pre-built integrations of RightPatient® for various healthcare systems like Epic, Cerner®, Meditech, McKesson, and IBM Initiate® to becomes a seamless part of the provider workflow and maximize operational efficiency. Based on our track record developing biometric identification systems around the world, we understand that hospital IT staff is stretched thin with myriad responsibilities and commitments so we handle a majority of the pre-configuration and deployment logistics prior to go live that helps reduce the burden on hospital resources. Experience taught us that just like any other technology deployment, health systems who invest in biometrics for patient identification want a seamless experience that does not waste internal resources and a platform that instantly becomes a part of staff workflow.
Does experience matter when selecting a biometric patient identification vendor? Absolutely. Our dedicated team of scientific engineers and technologists deliver over 20 years of combined experience in healthcare, biometric technology, cloud applications, system integration, high-performance computing, and human factor engineering, ensuring that you will always be provided with innovative, scalable, and practical solutions that are the best possible fit for your needs.
Learn more about how we are leading the biometric patient identification market through creative innovation by visiting our Web site.
Jeremy has worked in the biometrics industry for nearly a decade and has real world experience with fingerprint, palm vein, finger vein, iris and face recognition technologies. He currently oversees the RightPatient™ Healthcare division of M2SYS Technology, including sales, business development and project management. Before taking over the Healthcare unit, Jeremy spearheaded the growth of the core biometrics division, working closely with Fortune 500 clients like ADP, JP Morgan & BAE Systems to implement biometrics in large identity management projects.
https://www.rightpatient.com/wp-content/uploads/2015/12/Innovation-like-RightPatient-is-important-in-biometric-patient-identification.jpg445800John Traderhttps://www.rightpatient.com/wp-content/uploads/2021/04/RightPatient-Logoup.pngJohn Trader2015-12-04 17:17:432021-06-30 13:50:17Why Experience Matters When Selecting a Biometric Patient Identification Solution
Healthcare Fraud Jeopardizes Patient Safety and Raises the Cost of Care Emergency Departments (ED) can be subjected to healthcare fraud from individuals without insurance seeking care, especially those with manageable chronic conditions. These patients often go to hospital EDs because they don’t have access to any source of care and in a large number of cases, attempt to defraud the healthcare system by providing different names, dates of birth, or other demographic information during registration.
Hospital patient access staff on alert for healthcare fraud often must strike a tricky balance of ensuring a patient receives timely care with the need to identify and prevent these individuals from illegally obtaining medical services that could raise liability and possibly harm the patient.
Through the use of photo biometrics, the University Health System was able to catch a patient attempting to commit healthcare fraud in the ED.
Patients who may be trying to defraud the system can raise the cost of care for all of us with most of the cost to treat these individuals passed on to insurance providers that raise premiums to subsidize care provided to the uninsured. It’s a persistent problem in healthcare that jeopardizes patient safety.
Medical Identity Theft and Healthcare Fraud are Persistent Patient Safety Problems in Healthcare The National Health Care Anti-Fraud Association (NHCAA) estimates that the financial losses due to health care fraud are in the tens of billions of dollars each year. The Ponemon Institute released a study earlier this year that reported a 21.7% increase in medical identity theft cases since the previous year’s study.
A costly and often complex and time consuming issue to resolve, healthcare fraud and medical identity theft often financially decimate victims and healthcare institutions and can have a ripple effect that negatively impacts provider reputation. Add to that evolving patient expectations that healthcare providers are taking the necessary steps to protect their identities and ensure the privacy of their protected health information (PHI), and it’s clear that this is a festering problem in the industry that deserves immediate and swift preventative action.
Implementing Biometric Patient Identification to Identify Potential Healthcare Fraud
When University Health System staff sat down to address the problem of healthcare fraud and began to assess patient authentication technology options that had the potential to prevent it, they decided to deploy RightPatient® biometric patient identification as part of an overall strategy to increase patient safety, eliminate duplicate medical records, and prevent medical identity theft and fraud throughout their network. Using photo biometrics as their preferred modality, University launched the RightPatient® patient identification system in the summer of 2015 at both hospitals in their network and began registering patients and linking their unique biometric credentials to a single electronic health record (EHR).
Through the use of photo biometrics, the University Health System was able to catch a patient attempting to commit healthcare fraud in the ED.
Thusfar, the deployment has been a resounding success, with over 99% of patients opting in to ensure the safety and privacy of their PHI. University placed a great deal of emphasis to ensure their staff understood why the RightPatient® solution was implemented and meticulously trained patient access personnel on how to properly use the system prior to launch.
Their efforts paid off.
Recently, a patient was registered through the ED in the RightPatient® system, and then returned to the same ED days later claiming a different date of birth and a different last name. Following hospital registration protocol, the patient access representative took the patient’s photo with an iris camera and the RightPatient® system immediately flagged the patient’s medical record and instantly notified staff that the patient had previously enrolled with their biometric credentials already linked to another unique EHR. University staff then realized that the patient was attempting to assume another identity and took action to prevent it.
Even if this patient had enrolled in the RightPatient® biometric patient identification system at another location within University’s network, they still would have been flagged as a potential fraud case if they returned to a different facility due to the fact that RightPatient® seamlessly integrated with University’s Epic EHR system and can be used at any point along the care continuum, regardless of the patient’s physical location within the network (RightPatient® can even be used to authenticate an identity on patient portals and mHealth applications!).
Conclusion
The persistent and dangerous problem of medical identity theft and healthcare fraud is a direct threat to patient safety but also has repercussions that impact many other facets of care delivery. Implementing modern patient identification technologies that have the unique ability to prevent healthcare fraud should be a key goal for any medical facility set on improving safety, lowering liability, and raising the quality of care. The University Health System case clearly demonstrates that RightPatient® deters medical identity theft and healthcare fraud throughout the care continuum by linking a patient’s unique biometric credentials to one medical record.
Thank you to the staff at University for allowing us to share this story with our community!
https://www.rightpatient.com/wp-content/uploads/2015/11/RightPatient-prevents-healthcare-fraud.jpg445800John Traderhttps://www.rightpatient.com/wp-content/uploads/2021/04/RightPatient-Logoup.pngJohn Trader2015-11-24 06:00:252021-06-28 11:47:50RightPatient® Prevents Healthcare Fraud at University Health System
Hugh Chatham Memorial Hospital recently used photo biometrics to prevent healthcare fraud.
One form of healthcare fraud seen in emergency departments at hospitals around the country is individuals attempting to commit identity theft in order to obtain prescription medication. With approximately 8.76 million people in the U.S. abusing prescription medicationand the lion’s share of those medications coming from a doctor’s prescription, medical facilities are proactively stepping up their efforts to implement stronger patient identification safeguards to ensure that the problem is addressed. After all, many patients may not understand the health dangers and risks of someone stealing your identity and inaccurate health data being attributed to your medical record – it is extremely dangerous and could result in serious injury, even death should a clinician act on incorrect protected health data (PHI) in your medical record.
Just how bad is the problem of prescription drug abuse in the U.S.? Consider the fact that every day in the United States, 44 people die as a result of prescription opioid overdose. Fortunately, there are tools available to catch identity fraud at the point-of-service in hospitals before harm is done.
Using Photo Biometrics to Deter Healthcare Fraud
Hugh Chatham Memorial Hospital implemented the RightPatient® patient identity management solutionusing photo biometrics to help support patient safety, eliminate duplicate medical records, and prevent and deter medical identity theft. Recently, a patient arrived at the Hugh Chatham Memorial Hospital emergency room seeking treatment for an injury that according to the patient had just occurred in the prior hour. The patient signed in under a fraudulent name, date of birth, address, invalid marital status, a disconnected phone number, invalid employment status, fraudulent emergency contact, and an invalid social security number. The patient proceeded with registration, and signed all admission paperwork under the fraudulent information.
Hugh Chatham Memorial Hospital recently used photo biometrics to prevent healthcare fraud.
During the registration process, the registration clerk used the RightPatient® photo biometrics solution to enroll the patient since this was (according the patient) the first time they had ever been to the hospital. The RightPatient® system worked just as it was designed, sending the registration clerk an alert that indicated the patent had been previously enrolled and that their biometric credentials had already been linked to another unique electronic medical record, providing the medical record number the patient had been registered under.
The clerk was then able to access the medical record the patient had been previously registered under and after review, Hugh Chatham was able to see other visits for that same day in other clinic/practice locations. A decision was made to contact local authorities.
Thanks to the RightPatient® software and the efforts of this staff member, Hugh Chatham Memorial Hospital was able to securely identify the patient, avoid duplicate medical records, prevent identity theft and associated healthcare costs, and help maintain a safe environment for patients.
Conclusion
Encouraging healthcare facilities to implement safeguards that ensure accurate patient authentication through technologies such as photo biometrics has been our mission since we founded RightPatient®. We will continue to share our success stories with others to help educate and inform in the overall effort to remove fraud and increase patient safety in healthcare.
Have a story on how the use of biometrics prevented a potential case of healthcare fraud? Please share it with us in the comments!
It’s difficult to call telemedicine the shiny new object in healthcare, mostly because it’s origin can be traced back to the first half of the 20th century. In fact, the first people to use video communication for medical purposes were clinicians at the University of Nebraska who in 1959 established a two-way television setup to transmit information to medical students across campus, and five years later linked with a state hospital to perform video consultations. (source: http://evisit.com/history-of-telemedicine/)
The rising use of telemedicine services in healthcare demands a more holistic approach to accurate patient identification.
Since then, telemedicine has rapidly evolved as a trusted source of care, particularly for patients living in rural areas who traditionally have limited access to healthcare, and the industry is expected to reach 7 million patients worldwide by 2018, fueling an 18 percent growth rate by 2020. This is good news for a wide swath of key players in healthcare, especially providers who are already laser focused on advancing healthcare’s “triple aim” – improving the patient experience, improving population health, and reducing the per capita cost of care, plus telemedicine has proven to be a strong tool to increase patient engagement. Patients stand to benefit handsomely from advances in telemedicine too for its convenience and accessibility, quickly latching on to the “care when and where you want it” mantra of the technology.
Yet, for all it’s convenience and increased accessibility, healthcare providers should take caution on procedures in place to identify patient identities prior to administering telemedicine services. Advances in telemedicine combined with an influx of newly insured patients under The Affordable Care Act have undoubtedly spawned opportunities for patients to commit fraud by stealing or swapping identities to receive services they aren’t eligible for. Undoubtedly the issue of limited reimbursement continues to be a major barrier to the expansion of telehealth — shouldn’t providers pay more attention to adopting technology that establishes a concrete and indisputable audit trail for telemedicine services?
What can telemedicine healthcare providers do to increase patient identification accuracy and adopt a strategy that has the capability to address the need to ensure a patient is who they claim to be?
Telemedicine patient ID laws murky, differ from state to state
As is the case with administering a lot of other digital health tools in healthcare, rules and regulations are fragmented and differ from state to state. Some states like Maryland, Virginia, and New Mexicohave laws and regulations that facilitate the greater use of telemedicineyet others such as Texas are actively seeking to pass laws that restrict telemedicine services to only those patients who have previously seen a doctor.
Regulating telemedicine is a tricky endeavor in healthcare. Most healthcare providers (especially those in medically underserved, rural communities) want to see the expansion of telemedicine because of the potential gains in individual and population health plus increasing the convenience of healthcare delivery helps build patient loyalty and speciality physician access. Think about how much good will is built with chronically ill patients who don’t have to make a painful journey to the doctor’s office to receive care!
However, the potential risks of fraud and medical identity theft by telemedicine patients because of the apparent ease of assuming another person’s identity threatens to jeopardize patient safety and compromise patient data integrity which is essential to maintain in an era of increased interoperability and data sharing. Perhaps Alison Diana, formerly of Information Week, summed it up best by saying: “With multiple organizations providing their well-meaning suggestions, states following their own rules, and insurers taking various strategies, telehealth adoption is hampered by fear, uncertainty, and doubt.”
What’s clear is that telemedicine is yet another tool in a provider’s toolbox that deserves the same patient identification scrutiny and caution given to a face-to-face encounter. Health data security is an issue in healthcare that has evolved beyond brick and mortar identification scenarios and expanded to any point along the care continuum where a patient has access to data or care services. As President and CEO Russell Branzell and Board Chair Charles Christian of CHIME said, “As data exchange increases among providers, patient data matching errors and mismatches will become exponentially more dangerous and costly.” (source: http://www.globalmed.com/telehealthanswers/telehealth-data-security-and-a-national-patient-id/)
With the number of employers increasing employee telemedicine service offerings and the number of people now eligible for these services now estimated to be in the tens of millions, the healthcare industry has a vested interest to ensure 100% accurate patient identification.
Holistic patient identification is the new norm
The digital age of medicine has created a host of new patient touchpoints along the care continuum that require healthcare providers to reassess their patient identification policies to ensure that patients are safe, treatment is accurate, protected health information is attributed to the correct medical record and fraud does not cause medical errors that could increase provider liabilities. The conundrum for healthcare providers is identifying a patient identification technology that has the capability to provide accurate patient identification no matter where a patient is along that care continuum and can flexibly be used at ANY touchpoint, regardless if it’s virtual or physical.
What’s interesting about the explosion of these new patient touchpoints and accessibility is that provider focus (justifiably) is usually targeted on technology, compliance, and reimbursement — all important components to ensure success. For example, articles prognosticating about what telemedicine needs to succeed rarely address adopting stricter patient identification technology to protect both patient and provider. However, our field research demonstrates that healthcare providers are increasingly paying closer attention to perhaps the most essential element of any digital health tool, the absolute necessity of ensuring accurate patient identification prior to administering care.
When it comes to accurate patient identification, telemedicine should not be treated any differently than, say, access to a patient portal or a physical trip to a doctor’s office. Holistic patient identification accuracy protocols that have the flexibility to be used in different capacities but ultimately to achieve the same purpose — ensuring patient identification accuracy and patient data integrity no matter when or where a patient seeks access to medical information or services.
Photo biometrics a perfect fit for patient ID in telemedicine
One patient identification technology surging to meet the demand for holistic patient identification in healthcare is biometrics. The use of biometrics for accurate patient identification in healthcare offers immediate, sustainable benefits (increases in patient safety, reductions of duplicate medical records, elimination of fraud) but what often goes unnoticed are broader, tangential advantages that can be applied to new patient touchpoints along the care continuum.
For example, a healthcare provider using photo biometrics for patient identification in healthcare can ensure accurate patient identification at the point of service then have the ability to verify that same patient’s identity through a portal, or prior to a telemedicine session using facial recognition. Hospital re-admission reduction provides an excellent example of a tangential benefit biometrics delivers to the healthcare industry. By ensuring the accuracy of a patient’s identity during a home health visit or telemedicine session (key components to reduce re-admits), healthcare providers can administer accurate, timely patient care that helps reduce the possibility of a re-admission which significantly adds to the cost of care and can result in Medicare reimbursement reductions.
Biometrics for patient identification offers another distinct advantage to telemedicine — an indisputable audit trail. Healthcare providers can rest assured that they now have a concrete list showing which patient accessed telemedicine services and what day and time they received the services. In this era of shifting regulations and evolving legislation, healthcare providers who implement photo biometrics for patient identification are at a distinct advantage over those that may rely on more antiquated methods to verify patient identities.
Although the use of photo biometrics for holistic patient identification across the care continuum is a new concept in healthcare, more providers understand its value and are exploring the use of this technology.
Is patient identification for telemedicine services a concern for you? What specific challenges do you face?
You know the drill. A trauma patient is whisked into the emergency room bypassing the normal registration process to receive immediate care. Despite the patient’s condition, you as a patient registration representative are still responsible for establishing the patient’s identity, verifying their insurance eligibility, and ensuring that services rendered are allocated to the proper electronic medical record so the hospital can maintain high levels of data integrity and secure accurate revenue cycle compensation. Or, perhaps a handicap or disabled patient arrives at your facility and you may have to adjust normal registration procedures to compensate for their condition which may involve approaching the patient in the waiting room instead of asking them to approach you.
Particularly in emergency situations, wireless biometric patient identification devices offer convenience and portability to ensure patient safety.
The following post was submitted by Brad Marshall, Enterprise Development Consultant with RightPatient®
Whatever the case may be, some hospitals that have implemented biometrics for patient identification now have the ability to use a wireless camera to identify a patient at bedside or in-person, adding registration flexibility and removing the need to deal with the often cumbersome tangle of wires, USB cables, and devices on computers on wheels (COWs) or workstation on wheels (WOWs). These hospitals understand that wireless, portable patient identification offers distinct advantages to quickly identify patients with special conditions without the restrictions of a USB connection that may limit mobility and waste valuable time.
The Flexibility of Free Standing Patient Identification in ED or Bedside
The ability to quickly, easily, and accurately identify patients in emergency situations can often be the difference between life and death. Think about identifying an unconscious or unknown patient who arrives in the Emergency Department (ED) with a long medical history that includes medication allergies or important pre-existing conditions. Treating a patient in the absence of this critical health data not only endangers their health, but it presents a huge liability to the hospital should something go wrong based on missing or incomplete information. Not to mention that fact that in healthcare, especially in emergency situations, seconds matter.
Patient registration staff and clinicians both need the convenience and portability of a wireless biometric patient identification device that can be used to quickly determine a patient’s identity at any physical touchpoint along the care continuum. Think for a moment about the importance of verifying a patient’s identity at bedside. Accurate patient identification is not only an important safety protocol, but it also offers a variety of other benefits including:
Reduction of mistakes during treatment that could result in hospital liability
Efficient organization of supplies, medications, and specimens
Innovative wireless patient identification devices increase productivity by saving time without compensating accuracy during the registration process. Characterized by their mobility and efficiency, these devices are configured to seamlessly communicate with biometric patient identification systems integrated with electronic health record (EHR) platforms to ensure 100% accuracy.
Conclusion
Wireless devices are revolutionizing patient identification in healthcare by combining the speed and accuracy of biometrics with a convenient and portable design that eliminates the frustration of maneuvering cumbersome COWs and WOWs and the restrictions of USB connected devices. Specifically designed to ensure patient safety, lower hospital liability, and strengthen and sustain patient data integrity, wireless patient identification devices almost seem to be a “must have” for any hospital that is vested in ensuring the highest quality care, especially amid challenging conditions.
Interested in learning more? Drop us a note and we will be happy to set up a no obligation demo to show you firsthand how these devices operate, and provide more details about the advantages.
Brad Marshall is an Enterprise Development Consultant with RightPatient®. With several years of experience implementing both large and small scale biometric patient identification projects in healthcare, Brad works closely with key hospital executives and front line staff to ensure project success.
https://www.rightpatient.com/wp-content/uploads/2015/10/Wireless-biometric-patient-identification-devices-improve-patient-safety.png422615John Traderhttps://www.rightpatient.com/wp-content/uploads/2021/04/RightPatient-Logoup.pngJohn Trader2015-10-21 15:29:582020-08-10 09:43:22Improving Mobile Patient Identification with Wireless Technology
