How We Address the Patient ID Challenge in Healthcare

February 15, 2017/7679 views / 0 Comments/in BLOG, Data Integrity, Facial Reciognition, Health Care, Infection Control, Iris Recognition, Medical Identity Theft, Patient Identification, Patient Matching, Photo Biometrics, Revenue Cycle Management /by John Trader

RightPatient-is-the-perfect-patient-ID-solution

We offer a “holistic” approach to patient ID in healthcare through an intuitive solution that has the ability to identify patients no matter where they are along the care continuum.

The Patient ID Challenge

It is well known that accurate patient identification in healthcare is a key linchpin for safe and effective care delivery. Traditionally defined as the ability to accurately identify a patient during a physical trip to the hospital or doctor’s office, the rapid digitization of healthcare has opened up a host of new touchpoints along the care continuum, creating a strong need for healthcare organizations to re-think their approach and evolve to a patient identification strategy beyond collecting a government issued ID, insurance cards and patient demographics. Many are evaluating the use of biometrics to improve patient identification accuracy and patient safety.

Healthcare organizations are in a sticky predicament. In addition to addressing the most common patient identification challenges, which include:

Patients having common names
No ID present
Patients stealing or sharing identities and insurance
Frequent flyers/drug seekers
Staff entering the wrong information

they must now factor in new touchpoints borne from the aforementioned digitization of the industry, such as:

Telemedicine
Connected health/mHealth devices
Patient portals
Home health visits

In other words, healthcare organizations must now address patient ID in a “holistic” manner — adopting versatile technology that can be used at any point along the care continuum, no matter where a patient seeks care or access to protected health information (PHI).

As the healthcare industry transitions to value-based care, there is no arguing that the increase in new patient touchpoints along the care continuum has increased convenience and efficiency. However, it also raises new risks that can quickly pollute data integrity and endanger patient safety. Investing in a biometrc patient ID solution that covers in-person visits is smart, but without the ability to quickly scale the technology and cover the new touchpoints mentioned above, it can be a huge risk to healthcare organizations.

How RightPatient® Addresses the Patient ID Challenge

We approach the patient ID challenge from a different angle. Instead of pushing a biometric solution that limits healthcare providers to verifying patient identities when they arrive for an appointment or emergency, our patient identification platform uses biometrics, cognitive intelligence and deep learning to recognize patients at provider sites, during virtual encounters (e.g. patient portals, telemedicine) and in care environments outside of a hospital, clinic or doctor’s office.

Offering the industry’s most advanced, scalable, and versatile patient ID platform based on over 15 years of experience in biometrics, system integration and cloud computing, RightPatient’s core cognitive vision technology empowers healthcare providers to recognize patients with ease and accuracy from ANY end point:

Patient ID – Accurately identify patients at registration areas, kiosks, the ED & more; retrieve the correct medical record to prevent duplicates, fraud & human error
Patient Photo – Improve safety and personalize the patient experience by embedding patient photos in the medical record and other applications through the RightPatient® photo integration server
Portable ID – Strengthen security and patient safety by recognizing patients during portal login, telehealth visits, other remote encounters, and with our unique PatientLens™ smartphone app
Analytics – Aggregate and analyze patient visit data, and access a concrete audit log of visits with patient photos for compliance and dispute resolution

Photo-biometrics-for-patient-identification-in-healthcare

A patient takes “selfie” photo with a non-contact camera, which can be used for subsequent authentication at any point along the care continuum.

Using RightPatient, healthcare providers can accurately identify patients by simply taking their picture, offering these distinct advantages that no other patient ID solution can match:

No hygiene issues (non-contact)
The most accurate solution – nearly 3 times more accurate than any other method
Scalable, real-time duplicate prevention (identify without having to enter DOB or other credentials)
Very fast enrollment & 1:N matching speed (identify in seconds)
Minimum enrollment age: 1 year
Simultaneous photo capture
Not locked into a single device or manufacturer ; lowers long-term risk

We extend the flexibility of our intuitive and best-of-breed patient ID platform through PatientLens™ which turns any off-the-shelf smartphone or tablet into a reliable patient identification tool, empowering clinicians to accurately identify patients through its combination of facial recognition and deep learning capabilities. Designed to quickly identify a patient by using the camera on any smart device, PatientLens™ reduces risk and improves quality by enabling clinicians to easily and accurately verify patient identities, even when they are unconscious.

Conclusion

The inability to accurately identify a patient throughout the care continuum is a huge risk for healthcare providers. Healthcare digitization and the explosion of virtual access to data and care necessitates a more “holistic” approach to patient identification. This will improve patient safety and reduce provider costs while preventing the risk of data breach and adverse health events.

Healthcare organizations need a versatile, scalable solution with seamless EHR integration that removes the IT burden during implementation and offers a flexible adoption model. If you have been thinking about adopting biometrics for patient identification for your organization and want to learn more about our solution and how we are revolutionizing this critical part of effective and safe care delivery, please visit us at HIMSS in Booth 3015 to see a demo and learn more.

Ensuring the Right Patient in Healthcare

February 6, 2017/8245 views / 0 Comments/in BLOG, Data Integrity, Events/Conferences, Health Care, Patient Identification, Patient Matching, Patient Safety, Podcasts, Revenue Cycle Management /by John Trader

Joe Lavelle with IntrepidNow Healthcare recently interviewed our Co-Founder Michael Trader to discuss the current state of patient identification in healthcare. (Photo re-used with permission from IntrepidNow Healthcare.)

Our thanks to Joe Lavelle and his staff at IntrepidNow Healthcare for the opportunity to appear on his podcast to discuss the current state of identifying the right patient in healthcare. Although accurate identification in healthcare to determine the right patient at all points along the care continuum continues to surge as a focal point for organizations to increase patient safety and improve data integrity, there is still a lot of unanswered questions about how to develop and implement an industry wide solution that has the ubiquity and scale for use by everyone.

Additional topics covered during the podcast include:

The importance of establishing remote patient identification for touchpoints along the care continuum beyond in-person visits such as patient portals, connected health apps, home health visits, telemedicine, and more.
Why establishing a holistic patient identification strategy is now required in healthcare.
Details on the RightPatient® cloud software-as-a-service (SaaS) platform.
Why photo biometrics is hands down the most effective, secure, flexible, scalable, and hygienic solution to determine the right patient in healthcare.
Updates on CHIME’s national patient ID contest.
What additional elements are needed to advance discussion of accurate patient identification in healthcare to a congressional level.
RightPatient®’s plans for the upcoming HIMSS conference in Orlando.

As we approach the annual HIMSS conference, it’s important to continue dialogue and advancing initiatives that show promise to resolving the patient identification crisis in healthcare. Identifying the right patient at the outset of each encounter with the healthcare system ensures the success for many other downstream activities and is the only true way to improve and maintain data integrity — the true linchpin for interoperability and health information exchange.

We invite you to visit RightPatient® in the GA Health IT Pavilion, Booth #3015 at the HIMSS conference to see firsthand how adding cognitive vision to a healthcare technology ecosystem improves revenue cycle management and secures a patient portal, among many other uses.

Here is our Co-Founder Michael Trader’s conversation with Joe Lavelle from IntrepidNow Healthcare:

Thank you again to Joe Lavelle and his staff for this opportunity!

Why Patient Photos Should Be Linked to Medical Records

November 9, 2016/10605 views / 2 Comments/in Biometric Hardware, BLOG, Facial Reciognition, Future of Biometrics, Health Care, Patient Identification, Patient Matching, Patient Outcomes, Patient Safety /by John Trader

The following post on why patient photos should be added to medical records to improve patient safety was submitted by Michael Trader, President and Co-Founder of RightPatient®

The Push to Increase Patient ID Accuracy and Safety

Achieving accurate patient identification in healthcare is an important catalyst to ensure safe, cost-effective care delivery. Although we believe that accurate patient ID should have received more attention and scrutiny parallel to the rapid digitization of the healthcare industry, the issue has finally been thrust into the spotlight by powerful organizations such as AHIMA, the ONC, and CHIME as something that must be solved in order for other mandates (e.g. interoperability, health information exchange, population health, etc.) to materialize.

Why aren’t more healthcare providers capturing patient photos during registration?

Many healthcare organizations have proactively addressed the lingering issue of accurate patient identification by implementing new technologies that supplement existing methods of obtaining demographic information, insurance cards, and proof of ID. The idea is to add biometrics as an added layer of identity protection, security, and identification accuracy by asking patients to provide a physiological token prior to accessing health data and/or medical services. Biometrics for patient ID has rapidly caught on as a proven method to prevent fraud and medical ID theft, improve data integrity, prevent duplicate medical records, and safeguard protected health information (PHI).

Patient Photos Should be Captured During Registration

Despite the rising demand for biometric patient identification to improve patient identification and increase safety, not all solutions are created equal. Healthcare organizations that invest in unilateral biometric patient identification solutions quickly discover that they do not have the ability to easily and automatically capture the patient photo during registration and subsequent visits. This is unfortunate as the photo plays an important role in patient safety and in driving additional value throughout the ecosystem.

In addition, capturing the patient photo with a web camera during initial registration is not enough. This method often produces very poor quality photos, adds an extra step to the process, and the photos cannot be relied upon for other potential uses, such as facial recognition to verify patient identities during remote encounters.

One important differentiator that should be considered when researching a biometric ID solution is whether or not it offers the ability to capture a high-quality patient photo and recognize the patient in a single step. Why?

Patient photos are proven to reduce medical errors.
Respected, influential healthcare organizations recommend including patient photos with their medical record.
Patient photos increase patient safety.
Photos can be used as a second credential for multi-factor patient authentication.
The photo serves as a visual reminder to the provider, thereby enhancing caregiver communication with the patient.
High-quality patient photos allow healthcare providers to leverage facial recognition for accurate patient ID when patient’s access PHI or services in non-traditional settings such as mHealth apps, patient portals, and telemedicine. This enables a holistic approach to establishing accurate patient ID because it addresses all points along the care continuum instead of a narrow approach that only covers patient ID at the point of service in a brick and mortar setting.
In areas like the ED where time is critical, utilizing a web camera and adding an extra step in the workflow is impractical and inefficient.

Criteria that Defines an Effective Biometric Patient ID Solution

In addition to the points mentioned above and the standard questions that should be asked when researching the adoption of a biometric patient ID solution, we recommend that healthcare providers seriously consider the unique value of a platform like RightPatient® that seamlessly captures patient photos and identifies patients in a single step during registration, subsequent visits to a medical facility, and other touchpoints along the care continuum. This establishes a concrete, two-factor audit trail of patient visit activity and identity assurance.

Verify that the biometric patient ID solution offers the following patient photo capture features:

Convenience – Is the patient photo capture process easy and convenient for patients and staff? Photo capture should happen simultaneously with capturing their biometric credentials and should be fast. Otherwise, you run into delays and registration roadblocks in areas like the emergency room where time is of the essence.
Seamless integration and functionality – Patient identification and photo capture should be a seamless part of EHR workflow and not require staff to sign in and out of applications or constantly toggle between applications.
Affordability – Biometric patient ID platforms that offer simultaneous photo capture should be flexible and affordable and offer a software-as-a-service (SaaS) model option.

Conclusion

Capturing patient photos to increase safety and reduce medical costs is not a new concept in healthcare, yet it has failed to become mainstream compared to other industries. In fact, according to a recent report from the ECRI, despite the proven research that photos increase safety and engagement, only 20% of existing providers currently use patient photos. 20%! Think about that in the context of other industries that have used customer photos as part of their routine identification security protocols for years: membership management (e.g. gyms, fitness clubs), banking and finance, retail, education, government — the list is long.

If other industries have relied on the use of photos to augment identification accuracy, why is healthcare so far behind the curve? It seems as if healthcare market conditions and current and future initiatives to improve delivery, achieve better outcomes, perfect individual and population health, and reduce the cost of care are setting the stage for technology that can quickly and seamlessly capture patient photos as part of the identification process. The question is, are you investing in the right solution to harness this power?

Michael Trader is President and Co-Founder of RightPatient®. Michael is responsible for overseeing business development and marketing activities, government outreach, and for providing senior leadership on business and policy issues.

4 Ways Tech Has Changed How Healthcare Providers Handle Patient ID Protocols

October 12, 2016/6996 views / 0 Comments/in BLOG, Guest Blog Posts, Health Care, Patient Identification, Patient Matching, Patient Safety /by John Trader

The following post on patient ID in healthcare was submitted by Anica Oaks.

Methods of patient identification are critical to matching patients with their intended treatment in busy healthcare facilities. The failure to accomplish this has led to some serious consequences for patients and providers alike, in the form of unnecessary surgeries and wrong patient amputations resulting in a marked rise of lawsuits and malpractice insurance costs. Here are some technical solutions that healthcare professionals are looking at to help solve this problem.

Learn more about patient ID technologies and their impact on patient safety in healthcare.

1. Barcodes
Barcodes offer a convenient and cost-effective approach to establishing patient identity. New patients are entered into the system and issued a bar-coded ID bracelet which can be read by scanners at various locations during treatment, and automatically checked against patient databases. The same barcode can be printed on other documentation to be sure there is a match between the ID bracelet and any medications, test results, or scheduled treatments.

2. RFID Chips
Radio Frequency ID (RFID) chips emitting a unique signal are being touted as a better alternative to barcodes. These can be embedded in wristbands, hospital beds, or patient ID badges. Sensors reading this signal can generate the matching patient records on electronic devices. One advantage over barcodes is that chips can be read from a greater distance; sensors placed throughout the facility can also monitor patient movements for safety and security. RFID chips are also harder to duplicate. For this reason they are advocated by the FDA.

3. Staff Training
Identifying patients and administering ID protocols both upon admission and before receiving treatment typically falls to the nursing staff. Today’s nurses must be technically as well as medically trained to be effective in using the various patient ID technologies. A modern ADN to MSN online program (Associate Degree in Nursing to Master of Science in Nursing) better prepares nurses to understand and apply the technologies in use.

4. Biometrics
Using biometric devices is a fairly new but effective means of positive patient identification. Patient ID in healthcare now offers biometric devices that read iris patterns or even facial structure and are then matched against existing patient data to easily confirm identities. Barcodes or RFIDs leave room for error. A biometric characteristic, however, has only one possible match. Though these systems are more expensive to implement, their reliability and ease of use may be a wise investment.

Healthcare facilities today are faced with the need for stricter standards of patient identification. This is not just to safeguard patient health and professional integrity, but to guard against fraudulent use of ID to obtain drugs or free medical treatment. Today’s technology seems to finally be up to the challenge.

Anica is a professional content and copywriter who graduated from the University of San Francisco. She loves dogs, the ocean, and anything outdoor-related. She was raised in a big family, so she’s used to putting things to a vote. Also, cartwheels are her specialty. You can connect with Anica here.

3 Ways Iris Recognition On Smartphones Will Change Patient ID In Healthcare

October 4, 2016/10085 views / 0 Comments/in BLOG, Data Integrity, Future of Biometrics, Health Care, Iris Recognition, Medical Identity Theft, Mobile, Patient Identification, Patient Matching, Patient Safety, Photo Biometrics /by John Trader

The following post on iris recognition for patient ID in healthcare was submitted by Brad Marshall, Enterprise Development Consultant with RightPatient®

Smartphones as the “future of medicine”

In case you may have missed the news, last month Samsung released the Galaxy Note 7, making it the first commercially available smartphone that features iris recognition biometric identification technology. The recent recall of this phone because of a faulty battery that could catch fire notwithstanding, the ability for consumers to now leverage iris recognition on their smartphones promises to continue the rapid evolution of adopting more secure patient identification technology on digital devices in healthcare.

Iris recognition for patient ID on smartphones will increase patient and provider confidence in using a smartphone for mhealth data access and services.

Many say that the future of medicine is on our smartphones and with good reason. Both patients and providers are rapidly gravitating to these devices for myriad reasons including administering routine medical tests, sharing data, and ensuring medication adherence. However, despite the tremendous potential for the smartphone to radically alter healthcare delivery, serious issues remain about hacking and personal privacy which inhibits more widespread use of these devices because many on both sides of the healthcare aisle still aren’t convinced that sensitive protected health information (PHI) is adequately protected and kept secure.

The healthcare industry was buoyed by the introduction of iris recognition as a security measure to protect access and keep PHI secure. Here are 3 reasons why iris recognition on smartphones will significantly improve patient ID and help fuel the rise in the use of these devices in healthcare:

Accuracy: Iris recognition is widely considered to be the most accurate and hygienic form of biometric identification. Smartphones are playing a more prominent role in healthcare on both sides of the spectrum with patients increasingly using the devices to access protected health information through patient portals, share information with providers, for telehealth, and to make appointments and order prescriptions. Providers like smartphones because of their portability, accessibility, and mobility. The ability of iris recognition to replace less reliable and less accurate methods of biometric authentication on smartphones (e.g. fingerprints) will help increase and sustain the momentum of their use in healthcare. This bodes well for the industry wide push to establish fluid interoperability based on clean data because it lends confidence that PHI is accurate providing healthcare providers the confidence to participate in health information exchanges on both a regional and national scale.
Eligibility expansion: As of 2015, 68% of American adults owned a smartphone, and 62% of smartphone owners had used their phones to look up information about a health condition (source: http://bit.ly/2dGZ0kQ). The question isn’t whether smartphone use will rise in healthcare, it’s how fast it will rise and how many people will continue to adopt it. Unlike other biometric technologies such as fingerprints that have previously been used on smartphones and rely on skin integrity to work effectively which automatically rules out a certain percentage of the population due to ethnicity, age, climate, and skin condition, iris recognition can be used by virtually anyone dramatically increasing the eligibility of those that are eligible to use it. (And, sorry Network World but your assertion that iris recognition “can’t be used as a verification feature for the blind or people with cataracts…” is inaccurate). We know for a fact that iris recognition does work with blind people and patients with cataracts because dozens of hospitals that use our iris biometric patient identification solution have used it successfully in these cases.
Patient Experience: Among the many benefits ushered into our lives from the digital healthcare revolution, increased transparency and accountability is fundamentally improving the provider/patient relationship. Mhealth apps and patient portals have played a key role to help increase patient engagement and accountability for their health but a broad range of privacy concerns remain that have inhibited their widespread use across the healthcare landscape. Iris recognition on smartphones promises to significantly improve patient confidence that their medical identity is protected before they begin to use apps and portals and provides peace of mind that healthcare providers are deploying the most accurate biometric identification technology available in an effort to ensure privacy and security. There is a strong argument that the use of iris recognition on smartphones will improve the patient experience in healthcare.

Conclusion

There is little doubt that smartphones will continue to be a rising conduit for access to data and healthcare services in the future. The introduction of iris recognition on smartphones will only help to instill confidence in patients that their privacy and medical identities are protected and help providers to ensure their databases are clean and accurate thereby boosting participation in mhealth as a viable channel in healthcare.

Have you used iris recognition to verify your identity on a smartphone prior to accessing an mhealth app, telemedicine, or perhaps another digital health tool? How was your experience and do you feel more confident that your medical identity is better protected? Share your comments with us below.

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.

University Health Reaps Benefits of Photo Biometrics for Patient ID

August 17, 2016/6599 views / 0 Comments/in BLOG, Facial Reciognition, Health Care, Infection Control, Iris Recognition, Patient Identification, Patient Matching, Photo Biometrics /by John Trader

University-Health-Care-is-using-RightPatient-for-patient-ID

Augusta, GA based University Health Care implemented photo biometrics for patient ID to increase patient safety.

The following post was submitted by Brad Marshall, Enterprise Development Consultant with RightPatient®

Biometric Patient ID No Longer a Movie Prop

It wasn’t so long ago that the term “biometric patient ID” wasn’t even in the lexicon of healthcare providers as a reliable means to improve patient safety, eliminate duplicate medical records, prevent medical ID theft, and increase patient data integrity. In fact, just a few years ago, many providers had never even heard of biometrics used to accurately identify patients and those that did know about the technology could only relate to what they had seen on the movie screen or read in a science fantasy novel.

Today, the use of biometrics for patient ID in healthcare has sharply risen as more healthcare organizations realize the technology’s potential to better protect individuals from the perils of misidentification and better understand the ability of select biometric patient ID solutions to be seamlessly integrated into EHR workflow.

However, what stands as a true testament to the rising use of biometrics for patient identification in healthcare is the ability of the technology to demonstrate realized return on investment (ROI) against the goals set forth prior to implementation. In other words, the true “proof in the pudding” of biometrics for patient ID can be benchmarked through multiple objectives — how significant was the reduction in duplicate medical records and chart corrections? What percentage of patients are opting into the biometric patient ID system? Has investment in biometrics for patient ID streamlined patient registration? Is the technology effective in reducing cases of fraud and medical ID theft?

University Health Deploys Photo Biometrics for Patient ID

In most cases, biometric patient identification deployments must mature to a certain level in order to measure the impact on improving patient safety and the additional aforementioned goals and objectives. In other words, beyond restricting medical ID theft and healthcare fraud at the point of service, it’s impractical to expect immediate results after deploying biometrics for patient ID. The system must be in place for a certain period of time before healthcare providers can expect to reap additional benefits — categories such as patient acceptance and enrollment and reduction of duplicate medical records for example.

Augusta, GA based University Health Care System is a classic example of a healthcare organization that had clear goals and objectives in mind prior to implementing biometrics for patient ID and are now realizing benefits from their choice of photo biometrics over other hardware alternatives. University Health officials have been pleased of the simplicity of photo biometrics where patients take their photo and are instantly identified followed by the retrival of their correct medical record in the Epic EHR system. With over 99% of patients choosing to enroll in the biometric patient ID solution, University quickly amassed a database of 50,000 patients to participate and the numbers keep increasing each day.

Perhaps equally important is the fact that since implementing RightPatient®, University Health has seen nearly a 30% decrease in chart corrections, defined as the health information management (HIM) department’s need to go back into a chart and correct any data entry errors during the patient registration process. RightPatient® has also been instrumental to eliminate write–offs directly related to patient fraud — in one case a patient attempted to commit healthcare fraud by using multiple aliases in the ED to illegally obtain prescription drugs. Photo biometrics quickly caught the patient by revealing they had previously enrolled under a separate identity and University Health officials were able to quickly notify on-site authorities who sprang into action.

Conclusion

University Health made a conscious choice to implement photo biometrics for patient ID after carefully evaluating the characteristics and limitations of fingerprint and palm vein. They concluded that photo biometrics was the most accurate, hygienic, and versatile solution available with strong potential for future deployment at additional patient touchpoints including mobile devices, patient portals, and telehealth — touchpoints along the care continuum that fingerprint and palm vein just do not have the ability to address.

Learn more about University Health’s use of photo biometrics for patient ID and stay tuned for more posts on what benefits our end users realize after investing in photo biometrics for patient ID.

How to Choose the Right Biometric Modality for Patient ID in Healthcare

August 11, 2016/8300 views / 0 Comments/in Biometric Hardware, Biometric Terminology, BLOG, Health Care, Patient Identification, Patient Matching, Photo Biometrics, Research /by John Trader

The following post on patient ID in healthcare was submitted by Michael Trader, Co-Founder and President of RightPatient®

We are excited to announce the release of a brand new white paper entitled: Choosing the Most Effective Biometric Solution for Patient Identification in Healthcare (Assessing the characteristics and capabilities of biometric options). The white paper assesses the capabilities and limitations of fingerprint, palm vein, and photo biometrics (iris and facial recognition) for patient ID in healthcare.

Misinformation and confusion surrounding biometric patient ID hardware modalities are cleared up in our latest white paper.

The journey to select the most suitable biometric modality for patient identification in healthcare should include an assessment of hardware capabilities and limitations. This white paper was written and published as an educational resource for healthcare organizations to develop a deeper understanding of device characteristics and limitations. Due to persistent misinformation about the ability of select biometric modalities to perform accurate patient ID in healthcare and confusion on the realities of real world results post implementation we feel that this white paper stands as an authoritative guide that should be included in any and all comprehensive due diligence of biometrics.

Over 14 years of experience in real world implementations of fingerprint, palm vein, and photo biometrics has provided us with a wealth of knowledge and research on how these modalities operate when deployed and an authoritative resource to determine which devices can deliver on the promise that effective patient ID solutions offer:

Elimination of duplicate medical records and overlays
Prevention of medical ID theft and healthcare fraud
Increasing and sustaining patient data integrity
Increasing patient safety
Providing accurate patient ID at ANY point along the care continuum

Did you know that select biometric modalities covered in the white paper do not have the ability to accomplish some of these goals? We encourage you to contact us and request your copy of this important and informative white paper to provide a more thorough background and understanding of biometric patient identification realities versus marketing fluff.

We are confident that you will find value in our research and analysis based on a decade and a half of experience in the biometric identification management industry and extensive experience with all of the modalities covered in the white paper. Please click here to request a copy of the research report.

Is Petitioning Congress the Answer to Achieving Accurate Patient ID?

March 24, 2016/5477 views / 0 Comments/in BLOG, Comments On Recent Biometric News Stories, Health Care, Patient Identification, Patient Matching /by John Trader

Hat tip for the recent efforts by the American Health Information Management Association (AHIMA) to launch a petition drive that will move Congress to lift the federal legislative ban that has prohibited the U.S. Department of Health and Human Services (HHS) from participating in efforts to find a patient identification solution. It’s a noble effort and adds fuel to the hot fire burning in the industry to solve the persistent and dangerous problem of achieving accurate patient identification in healthcare. We understand that the effort to improve patient identification in healthcare has many downstream benefits to the entire industry including (but not limited to):

— Revenue cycle management
— Patient safety
— Health information exchange
— Population health

AHIMA’s efforts to petition Congress to life the federal moratorium on funding research on developing a national patient identifier may not do much to adequately solve the problem.

The fact that organizations with the clout of AHIMA and CHIME have contributed their powerful voices to the battle of improving patient ID in healthcare is advantageous to the end goal of finding a universal solution that can be adopted collectively throughout the industry. AHIMA and CHIME’s efforts are working to garner more attention to the persistent patient matching problem in healthcare and sparking more discussions about how to solve the problem. Often relegated as a back seat initiative in favor of other healthcare technology initiatives (e.g. – ICD-10, EHR implementation, interoperability), we have always believed that improving patient identification in healthcare should be higher on the priority list.

AHIMA’s initiative has merit, but is advocating the use of a credential predicated on the concept of presenting something you have or know the answer to solving the patient identification problem in healthcare? One of the reasons that the healthcare industry has struggled with accurate patient identification is that legacy methods of identifying patients have proven to be easy targets to exploit. Human identification generally falls into three distinct categories:

“What you know” – address, phone number, date of birth
“What you have” – insurance card, driver’s license, passport, government issued identity
“Who you are” – biometrics

Traditional identification methods generally rely on asking a patient what they know or what they have but we already know that these are frequently abused and easy sources to commit fraud. Just look at the continued rise in cases of medical identity theft at the point of service – an estimated 2.3 million Americans or close family members had their identities stolen during or before 2014, and a large number of these cases involve family members stealing or sharing medical insurance credentials.

In geographic locations throughout the country where a large percentage of the patient demographic may share similar names, providing a false name or multiple variations of a name at the point of service in order to defraud the system is common. An example widely used throughout the industry to illustrate this is the Harris County Hospital District in Houston where among 3.5 million patients, there are nearly 70,000 instances where two or more patients shared the same last name, first name and date of birth. Among these were 2,488 different patients named Maria Garcia and 231 of those shared the same birth date.

In geographic locations throughout the country where a large percentage of the patient demographic may share similar names, providing a false name or multiple variations of a name at the point of service in order to defraud the system is common. An example widely used throughout the industry to illustrate this is the Harris County Hospital District in Houston where among 3.5 million patients, are were nearly 70,000 instances where two or more patients shared the same last name, first name and date of birth. Among these were 2,488 different patients named Maria Garcia and 231 of those shared the same birth date.

Pushing Congress to lift the federal moratorium on funding research on developing a national patient identifier may lead to a solution that requires patients who opt-in to bring this credential with them when seeking medical treatment. In the absence of incorporating an additional identification credential that relies on “who you are,” simply creating another individual authentication credential that relies on “what you know” or “what you have” leads us down the same path of abuse and fraud. After all, in theory the national patient identifier would be similar to a social security number or other credential that is subject to being stolen, shared, or swapped just like current methods of identification. Do we really want to allow this to happen? Seems as if this solution would be the equivalent or rearranging the deck chairs on the Titanic.

Moving forward, the smarter way to solve the identification crisis in healthcare is to adopt technology that identifies patients by who they are, or some sort of a combination of what you have or what you know with who you are. For example, the use of biometrics for patient identification – already a proven technology that patients accept and significantly reduces duplicate medical records, overlays, medical identity theft, and fraud – would be a more sensible way to identify patients to alleviate the problems caused by misidentification.

Lobbying Congress to lift the moratorium on funding research to develop a national patient identifier won’t solve the patient ID problem in healthcare unless the industry realizes that it must move away from antiquated identification methods that rely on what you have and/or what you know and instead shift to identifying patients by who they are. Unless this is part of the equation, healthcare will continue to spin it’s wheels in the effort to solve the vexing problem of how to achieve 100% accurate patient identification.

Takeaways on Biometric Patient ID from HIMSS 2016 Conference

March 9, 2016/7698 views / 0 Comments/in BLOG, Comments On Recent Biometric News Stories, Events/Conferences, Health Care, Infection Control, Iris Recognition, Patient Identification, Patient Matching, Patient Safety, Revenue Cycle Management /by John Trader

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 integrity in 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?

Achieving Higher Patient Data Integrity Requires a Multi-Layered Approach

February 15, 2016/7257 views / 1 Comment/in BLOG, Data Integrity, Patient Identification, Patient Matching /by John Trader

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.”
(AHIMA report, “Ensuring Data Integrity in Health Information Exchange” http://library.ahima.org/xpedio/groups/public/documents/ahima/bok1_049675.pdf)

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.

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