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!
David Cuberos, Enterprise Sales consultant with RightPatient®, poses with Bryan Marcotte from Baystate Health, winner of the gift card door prize at the 2015 NE NAHAM regional conference.
The following guest post was written by David Cuberos, Enterprise Sales Consultant with RightPatient®
The time that we spend meeting with patient access professionals in the field is important to us. It’s an opportunity for our team to better understand core patient access functions/workflow and how these critical front line staffers help mold the patient experience as a first point of contact in what can often be a long, complex journey through the healthcare system. Our strong support for the National Association of Healthcare Access Management (NAHAM) and their regional chapters is a key relationship — instrumental to our product and service design and the ability for us as healthcare software vendors to deliver a solution that meets the dynamic needs of these healthcare professionals and moves the patient safety needle in a positive direction.
Last week, we had the opportunity to meet with patient access professionals from the northeast region of the U.S. to discuss the patient access professionals’ impact on the patient experience. We learned a lot about challenges faced by patient access staff, how it impacts workflow, and what new technology solutions are available to help meet the shifting and often complex demands of this position.
We also had the opportunity to discuss the ongoing conundrum of achieving accurate patient identification with show attendees and display our biometric patient identification solution that helps to increase patient safety and eliminate duplicate medical records/overlays and prevent medical identity theft and healthcare fraud. This was an ideal environment for us to not only help educate attendees on the value of implementing a patient identification solution, but it also provided us the opportunity to clear up misunderstandings about how this technology operates in a healthcare setting. As we do at all events, we learned a great deal about what types of questions healthcare professionals have about this technology and walked away with some key takeaways:
1. Retinal scanning and iris recognition are two different biometric technologies: This is a recurring misunderstanding we consistently see wherever we go. Due to the fact that both retinal scanning and iris recognition use the human eye for identification, most people believe that the technology is the same. In fact, the two are very different – explained in this blog post we wrote that breaks down the differences between iris recognition and retinal scanning.
2. Patient acceptance of iris recognition is extremely high: Some believe that using the iris as a unique identification credential can invoke patient trepidation to register their biometrics as a way to protect their identity and ensure accurate treatment throughout the care continuum. However, when healthcare staff observes the iris camera in person, they realize that it is perhaps the least invasive biometric modality because it simply takes a high-resolution digital photograph of the patient and can identify them in less than three seconds. Our field research supports patient acceptance of iris recognition for identification, with over a 99% acceptance rate.
These are all important to ask when evaluating biometric patient identification vendors but our experience is that many hospitals aren’t asking the right questions.
4. Hospital resources to resolving duplicate medical records are staggering: We continue to be amazed at the number of hospital staff dedicated to resolving duplicate medical records. In fact we spoke with a few attendees who mentioned that they have “teams of people” dealing with duplicate medical record clean-up. Although we can’t understate enough the importance of maintaining clean data, we have longed believed that implementation of modern patient identification technologies that have the ability to not only clean a master patient index (MPI), but sustain the integrity of the data moving forward. The key to preventing duplicate medical records is implementation of technology that can accurately identify patients no matter where they are along the care continuum.
5. Patient experience can be boosted through the use of biometric patient identification technology: Patients pay close attention to their experience at a medical facility. Patient knowledge of the negative effects of duplicate medical records and medical identity theft has increased their empowerment to seek services at facilities where their identities are protected. Implementing a biometric patient identification solution to protect patient identities invokes the emotion that medical facilities care about safeguarding patient safety and privacy.
Understanding how to improve the patient experience in healthcare requires careful examination of processes and workflow that bring convenience and demonstrate a genuine interest in protecting patient identities. We continue in our mission to provide the most comprehensive and holistic patient identification solutions available to help improve the patient experience in healthcare.
A special shout out to Bryan Marcotte from Baystate Health as the winner of the gift card door prize. Congratulations Bryan!
How can we help you to improve the patient experience at your medical facility?
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/2015/10/IMG_3217.jpg13652048John Traderhttps://www.rightpatient.com/wp-content/uploads/2021/04/RightPatient-Logoup.pngJohn Trader2015-10-27 16:45:052015-11-08 05:33:53Takeaways from the 2015 NE NAHAM Regional Conference - "Improving the Patient Experience"
The following guest post was submitted by Joe Kubilius, Director of Product and Process Management at RightPatient®
Understanding the Digital World
In a world rife with digital devices and electronic gadgets, few of us probably know or understand how they actually work. Think about a smartphone for example – myriad buttons, switches, cameras, lights, and sounds instruct us to swipe this, or press that and we oblige. After all, the complexity of the backend processor and sensor network that makes these devices do what they do is probably of little interest to most of us, myself included.
Did you know that not all biometric patient ID systems have backend matching types that can prevent duplicates, eliminate medical ID theft, and improve patient data integrity? Only 1:N biometric matching has this capability.
Instead what we focus on is the end result – what you see, hear, and experience when you use a digital device. Few would argue that it’s necessary or even mandatory to have a thorough understanding of backend functionality on any digital device in order to appreciate the value it brings to our lives. For biometric patient identification solutions, this is definitely not the case.
Why Biometric Patient ID Technology is Different
Understanding biometric matching types is critical when selecting a patient identification solution. Most of us probably see biometric matching as rather black and white — for example, you place your finger on a fingerprint reader, a backend software program recognizes and verifies your identity, and you are on your merry way. The problem is that backend biometric matching technology is not cookie cutter and there are different matching types that carry different capabilities.
Why is this important to know and understand? We know that most healthcare organizations invest in the use of biometric patient ID solutions to increase patient safety by:
Eliminating medical identity theft and fraud at the point of service
Preventing duplicate medical records and overlays
Achieving and sustaining patient data integrity
Safeguarding personal health information (PHI)
Identifying unconscious or unknown patients
What most people don’t realize is that depending on which biometric matching type you select, achieving these goals is not 100% attainable with select patient ID solutions. The ONLY way to achieve the bulleted objectives is to implement a system that, during patient enrollment, compares a patient’s stored biometric template against ALL stored templates in the biometric database. If the ultimate goal is to improve patient safety and patient data integrity, only a one-to-many (1:N) biometric matching type can accomplish this.
Let’s take a closer look at the available biometric matching types and what they have the ability to do.
Understanding the Differences Between Biometric Matching Types
Biometric matching types can be categorized as: One-to-many or “Identification” (1:N), one-to-one or “Verification” (1:1), and 1:Few Segmented “Identification” (1:Few). Here is a breakdown of each matching type and how to interpret their capabilities:
(1:1)Verification: 1:1 biometric “verification” matching authenticates a patient’s identity by comparing a captured biometric template with a biometric template pre-stored in a database. 1:1 biometric matching rejects or accepts a patient’s identity but before the comparison takes place, hospital staff must first input a personally identifiable credential (e.g. – a date of birth, gender, etc.) prior to comparing a stored biometric template against a live scan. This personally identifiable credential points to a specific enrollment template in the database so using a 1:1 matching type answers the question, “Is a patient who they claim to be.”
Example: A patient walks into the ED. Hospital staff asks the patient for their date of birth then scans the patient’s biometric credential to compare it against the stored template for that patient to verify that the patient is who they claim to be. With 1:1 biometric matching, the registrar has to retrieve a patient’s medical record first. Assuming the patient has been previously enrolled, they then scan their biometric and the system compares the captured data only against the data on file for that medical record.
Takeaway: 1:1 biometric verification is beneficial for verifying a patient’s claimed identity but since it does not search the stored biometric template database in its entirety, it does not have the ability to prevent medical identity theft or fraud at the point of service nor does it have the capability to identify an unconscious or unknown patient since a personally identifiable credential is needed prior to conducting the biometric scan.
(1:Few) Segmented Identification: 1:Few biometric matching compares a patient’s captured biometric template against a segmented portion of the entire biometric database, therefore a personally identifiable credential must be provided prior to the biometric scan to determine the subset of biometric templates to compare against. For example, a patient would provide a date of birth prior to the biometric scan and a 1:Few segmented identification system would then compare that patient’s biometric template only against the templates that share the same date of birth.
Example: A patient arrives at a medical facility for treatment. At registration, hospital staff asks the patient for their date of birth which segments the biometric database to only those records that share the same date of birth and then captures the patient’s biometric credential for comparison against the segmented database.
Takeaway: 1:Few segmented identification does not have the ability to search an entire biometric database in real time to prevent the creation of duplicate medical records or eliminate medical identity theft or fraud at the point of service. What if a patient attempting to commit fraud had previously enrolled their biometric credentials and it was linked to another electronic medical record, then returns to the medical facility claiming another identity and providing a falsified, different date of birth? Hospital staff would then link that patient’s biometric credentials to another electronic medical record and a 1:Few segmented identification matching type would not be able to catch the fraud or prevent a duplicate medical record for this patient. In addition, if a patient arrived unconscious without any identification credentials in the ED, 1:Few segmented identification does not have the ability to identify them because a personally identifiable credential is required. How would an unconscious, unknown patient be able to provide this? Biometric patient ID matching systems based on 1:Few segmented identification do not have the ability to identify unconscious/unknown patients.
(1:N) Patient Identification: A one-to-many (1:N) biometric identification matching system instantly compares a patient’s captured biometric template against ALL stored biometric templates in the system. No other information is required from the patient other than their biometric credentials and this matching type represents the only true de-duplication mechanism and the only way to prevent duplicate medical records to achieve and sustain patient data integrity. 1:N biometric mathcing types ensure that once a patient enrolls, it is impossible to create a duplicate medical record for that patient.
Example: A patient arrives at a hospital for outpatient surgery. At the registration desk, hospital staff takes a patient’s photo with an iris recognition camera. The backend software instantly compares that patient’s biometric credentials to every single stored biometric template in the database.
Takeaway: 1:N biometric matching is the only true way to prevent duplicate medical records and overlays and eliminate medical identity theft and healthcare fraud at the point of service. By searching the ENTIRE biometric enrollment template database, hospital staff ensures that a patient has not tried to claim another patient’s identity, and is able to access the only electronic medical record linked to that patient with confidence. If a healthcare organization seeks to improve and sustain patient data integrity and patient safety, 1:N biometric searches are the only way to accomplish this. In our 1:Few example above, if an unconscious, unknown patient arrived in the ED and a hospital had implemented a biometric patient ID system with 1:N matching, hospital staff would only need to capture the patient’s biometric credential for accurate identification.
Understanding the capabilities and limitations of biometric matching types is key to select a biometric patient ID system that will accomplish the goals of improving patient safety and patient data integrity in healthcare. Take the time to ask the right questions when evaluating a biometric patient ID solutions so you won’t be left in the dark about what a solution can and can’t achieve.
Have you implemented a biometric patient ID system based on 1:1 or 1:Few segmented matching type and did not understand the limitations? Please share your comments and feedback below!
Joe Kubilius is Director of Product and Process Management with RightPatient®. With over 10 years of experience in the design, development, and implementation of biometric identity management solutions, Joe has been integral to the success of hundreds of large and small scale deployments across the globe.
https://www.rightpatient.com/wp-content/uploads/2015/09/One-to-many-biometric-patient-ID-systems-are-the-only-way-to-prevent-duplicate-medical-records.png250650John Traderhttps://www.rightpatient.com/wp-content/uploads/2021/04/RightPatient-Logoup.pngJohn Trader2015-09-23 17:19:362020-08-10 09:55:51The Difference Between 1:N, 1:1, and 1:Few and Why it Matters in Patient ID
It’s a familiar case. An unconscious or unknown patient arrives in the ER without any identification leaving clinicians to administer care in the absence of any medical history to review. This presents a serious patient safety risk since treating an unknown patient without the benefit of securing their identity is dangerous and can be a huge liability. What if they are allergic to a certain medication? What if they have a pre-existing condition that must be considered prior to receiving any treatment?
Novant Health recently used the RightPatient iris biometrics patient identification system to identify an unknown, disoriented patient.
Since these cases are more often trauma related requiring immediate attention, clinicians must take a risk and administer care in the absence of any historical medical data. An obvious threat to patient safety and a situation that clearly raises liability, healthcare organizations have long sought to adopt technology that can instantly identify patients in these cases without the need for any demographic information.
The staff at Novant Health decided to proactively implement an iris biometric identification system throughout their network as a means to secure accurate patient ID and ensure that patients, no matter what the circumstances, are kept safe throughout the care continuum. Although adopting a biometric patient identification system to identify unconscious or unknown patients wasn’t the sole reason that Novant implemented this technology, they knew that by choosing to use iris recognition as their primary biometric modality they would be able to quickly and accurately identify any patient in these circumstances without having to ask for an additional identification credentials (e.g. – D.O.B.).
Novant’s iris biometric patient identification system was recently put to the test when a disoriented, unknown patient arrived in the ER without any identification credentials. Novant staff quickly realized that they could take the patient’s photo with a RightPatient iris camera and if they had been previously registered in their Epic EHR database, the biometric patient identification system would recognize them and immediately pull up their medical record. Fortunately, the patient had previously been enrolled with the RightPatient system and their identity was instantly recognized after their photo was taken with the iris camera. A big relief to Novant staff since they were now able to not only access her medical history prior to treatment, but they were also able to quickly contact the patient’s relatives to inform them of the situation.
Thank you to our partners at Novant Health for sharing this story and demonstrating the value of using biometrics for patient identification in the context of keeping patients as safe as possible throughout the care continuum!
LinkedIn has emerged as one of the most important social platforms to collaborate, educate, network, and publish content. Professionals from around the globe use LinkedIn as a way to establish and cultivate relationships, leveraging its communication capabilities to establish relevance and demonstrate expertise on just about any topic you can imagine.
The relevance of biometric technology to improve patient identification and SSO in healthcare is a main focus of the new “Biometrics in Healthcare” LinkedIn Group.
LinkedIn “Groups” are an integral tool to categorize discussions that center on a particular topic or subject matter and a chance to learn and converse from some of the most trusted global experts in their respective fields. In that spirit, we have created a brand new LinkedIn Group centered on the use of biometrics in healthcare. Biometrics in Healthcarewas created to help advance discussions on the use of this technology for patient identification and single sign-on (SSO) in the industry but more importantly, it was established to help others understand and appreciate the benefits of using biometrics including:
Testimonials
Case studies
Examples of return on investment (ROI)
Technology updates
Clearing up misunderstandings on what biometrics can and can’t accomplish
We invite you to join the Biometrics in Healthcare LinkedIn Group and participate in the discussion. It’s your chance to ask questions, read more about how the use of biometrics is helping increase patient safety and improve data integrity across the industry and interact with professionals who understand the benefits and limitations of this technology.
Expect the significance and impact of biometrics in healthcare to grow in the coming years as more hospitals and healthcare organizations understand its value and flexibility. The new Biometrics in Healthcare LinkedIn Group will prove to be an important tool for healthcare professionals to use in their quest to research the technology and determine if their facility can benefit from its use.
https://www.rightpatient.com/wp-content/uploads/2015/08/LinkedIn-flickr-010917.jpg445800John Traderhttps://www.rightpatient.com/wp-content/uploads/2021/04/RightPatient-Logoup.pngJohn Trader2015-08-31 18:09:402021-06-25 10:47:24Join the Biometrics in Healthcare LinkedIn Group
Accurate patient identification and data matching in healthcare to ensure patient safety along the care continuum is a complex challenge for most healthcare organizations. Common names, lack of proper ID, identity swapping, and the explosion of new patient touchpoints (mHealth apps, patient portals for example) to access personal health information (PHI) has created problems for organizations that still rely on antiquated methods of identifying patients and places them at a high risk of committing medical errors that could jeopardize patient safety.
The increased complexities of achieving accurate patient identification in healthcare raise questions about the most suitable strategies to implement. Join us on September the 10th from 1 – 2pm EDT for a free webinar on patient identification in healthcare.
Achieving accurate patient identification in healthcare is a key strategic goal of healthcare organizations across the industry as they continue to explore new technologies that have the ability to meet modern demands of the new digital health paradigm in the wake of the shift to a patient-centered wellness approach and a push to better understand the individual patient. Unified views of patient data across any care setting is a growing necessity despite the variability in data capture methods, systems, and a lack of patient identification industry standards.
In the absence of a unified view of patient data, healthcare organizations will continue to make medical errors with incomplete or inaccurate information. Access to accurate, complete PHI is one of, if not the most vital component to deliver quality, cost-effective care and the only way to accomplish this is to establish accurate patient ID at the point of registration/access so the patient’s entire medical history supports immediate care or a wellness event. Complete and accurate medical histories must be linked to any point along the care continuum to truly achieve patient-centered care.
Join us on September the 10th for a free webinar on the state of patient identification in healthcare and a comprehensive overview of strategies and technologies healthcare organizations can use to improve and sustain accurate patient ID. Plus, we will address the growing use of biometrics for patient ID, explain how it’s being used, and what return on investment (ROI) hospitals have realized since implementing it at their facilities.
Topics covered during the free one-hour webinar include:
• The current state of patient identification in healthcare • Patient identification challenges • Using biometrics for patient ID across the care continuum
Join us on September the 10th from 1pm – 2pm EDT as we explore the topic of patient identification in healthcare and offer an overview of how biometrics is a viable solution to increase patient ID accuracy and patient safety along the care continuum.
Tell a friend or colleague! This is your chance to learn from experts in patient identification, ask questions, and engage in the discussion. Have a question you would like to ask during the webinar? Please visit the webinar landing page to sign up and leave your question or write it in the comments below.
Looking forward to seeing you on September the 10th!
https://www.rightpatient.com/wp-content/uploads/2015/08/free-webinar-2.jpg445800John Traderhttps://www.rightpatient.com/wp-content/uploads/2021/04/RightPatient-Logoup.pngJohn Trader2015-08-25 16:52:312021-06-25 10:29:03Free Webinar: The State of Patient Identification in Healthcare
Understanding the value of using a biometric patient identification solution that offers a choice of multiple biometric modalities is key to a better understanding of how this technology can truly increase patient safety in healthcare.
The following guest post was written by David Cuberos, Enterprise Sales Consultant with RightPatient®
On many occasions throughout the course of conversations with different hospitals and healthcare systems, the question of which biometric modality to deploy for a biometric patient identification management project always surfaces. After all, choosing which biometric hardware modality to deploy is a critical factor for patient acceptance and efficient system performance – metrics that have a significant impact on the success and return on investment (ROI) of the initiative. More often than not when our customers and community get an in depth look at the variety of biometric hardware modalities we offer compared to other alternatives, they are curious about why we would support multiple devices instead of just one, and what the pros and cons are of each. The answer uncovers an important, but not frequently discussed attribute of biometric patient identification solutions that hospitals and healthcare organizations should be aware of.
Experience in Biometrics and Health System Integration Matters
The origins of RightPatient®’s biometric matching technology trace back 13 years through the experience and global track record of managing both small and large scale biometric identification management projects in many different industries by our parent company M2SYS Technology. As a proven innovator and expert in biometric matching technology, our experience has taught us that the success of these initiatives is largely dependent on ensuring that the biometric modality used matches the unique needs of our end users, offers the flexibility to change or add a modality in the future, has the ability to be customized prior to launch, and is easily scaled up as the deployment grows.
Experience in managing biometric identification management projects has also taught us the importance of using human factor engineering as part of our system design process based on understanding what makes a task easy for hospital staff and what makes it hard in order to ultimately develop biometric tools that would support healthcare organization goals. Deployments became more about identifying solutions that would cut down on “human error” and providing biometric hardware and software systems that fit employee need and workflow and less about deploying a solution that used the most popular and well known technology and relied on traditional conventions.
Ergonomics have become more influential in biometric patient ID system design, and training curriculum was refined to reflect the sources of expert performance, and how hospital staff acquire expertise in working with biometric identity systems. And perhaps most importantly, biometric deployments based on human factor engineering are designed to make systems more resilient in the face of shifting demands.
Hardware diversity, patient identification mobility, and back end databases that use certain biometric matching types are the only way that hospitals will be able to reach pre-deployment defined goals of eliminating duplicate medical records/overlays, preventing medical ID theft/fraud, and increasing patient safety. The biometric hardware chosen for a deployment has a direct effect on achieving these goals which is why it becomes a critical decision in the overall project scope.
The Problem of “Locking In” to One Biometric Modality System Platform
Biometric vendors who only offer a choice of deploying one biometric modality system for a patient ID initiative are hamstrung by the limitations of the device manufacturer. In other words, they “lock” you into using one biometric modality system that inhibits the ability to expand a deployment to meet the new realities of identifying patients in healthcare – biometric patient ID systems must now be able to offer patient identification at new touchpoints along the care continuum (e.g. – smart mobile devices, patient portals, and telehealth) and not just accurate ID at the point of service. Biometric patient ID systems that rely on one biometric modality can’t offer this flexibility because they can’t identify patients in these scenarios and often times, hospitals who deploy these solutions must either make another investment in a system that does have this capability, or risk not addressing how to offer accurate patient identification for the aforementioned new patient touchpoints – a risk that could have extremely negative repercussions should a patient be mis-identified or a clinician misses key patient health data missing from their medical record.
Deploying a biometric patient authentication system that offers a variety of modalities is the only way a hospital can meet the increasing complications of ensuring accurate identification along the care continuum at new touchpoints, using voice or facial recognition biometrics for smart mobile devices as an example. Absent of this flexibility, hospitals and healthcare organizations are running the risk of non-authorized individuals accessing sensitive personal health information (PHI), or medical information not being attributed to the proper records which is a direct threat to patient safety and an extreme liability.
The ability to establish and maintain patient data integrity is also called into question when locking into a single biometric modality system. The holy grail of patient data integrity is to achieve 100% accuracy, cleanse a master patient index (MPI) of any duplicate medical records/overlays, and then have the ability to maintain that level of integrity as the database grows. Since single biometric modality systems do not have the ability to address accurate patient identification at all touchpoints along the care continuum, hospitals and healthcare organizations run the risk that a care event will either be administered to the incorrect patient, or medical data could be accessed and stolen by an unauthorized individual. Deploying multiple biometric modalities such as facial and voice recognition to address accurate patient ID at ALL touchpoints is the only way that true patient data integrity can be established and maintained.
Conclusion
As the biometric identification management industry continues it’s rapid pace of evolution and expansion parallel to the evolution and expansion of new patient touchpoints to access medical data and services, hospitals and healthcare organizations should be thinking of deploying a solution that leverages multiple modalities that can accurately identify patients no matter where they are. The only way to accomplish this is the use of a biometric patient ID solution that offers a choice of modalities and a high degree of flexibility for deployment to address various patient touchpoints along the care continuum.
Don’t fall into the trap that a one biometric modality system will be sufficient to ensure accurate patient ID and a high level of patient data integrity across the care continuum. Learn more about how a choice of biometric hardware modalities for patient identification in healthcare is a smarter investment that will truly help hospitals and healthcare organizations achieve the goals that measure the success of the initiative.
Partnering with a vendor that has deep experience in biometric identification management technology, a strong track record of healthcare system integration experience, and a history of innovation is the only way to achieve the results you expect.
What patient ID challenges have you experienced that were solved by the use of multiple biometric modalities? Please share your comments below.
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/2015/08/flat-remote1.png565566John Traderhttps://www.rightpatient.com/wp-content/uploads/2021/04/RightPatient-Logoup.pngJohn Trader2015-08-10 18:50:062022-08-26 10:16:45Why We Offer a Choice of Hardware Modalities for Biometric Patient ID
Like many who attended the 2015 HIMSS trade show in Chicago, we were excited (and a bit overwhelmed) at the amount of health IT knowledge and information swirling around the exhibit halls and aisle/booth conversations between attendees and vendors. One theme that we were excited to see is the continued surge of implementing biometrics for patient identification by many healthcare organizations that understand it’s value to help:
1. eliminate duplicate medical records 2. prevent healthcare fraud and medical identity theft at the point of service 3. Increase patient safety
Learn more about how our RightPatient biometric patient identification solution can help your healthcare organization through this firsthand testimonial from a hospital CIO.
Ever since the use of biometrics for patient identification arrived on the scene just a few short years ago, many hospitals are now reaping the dividends of this technology to achieve the aforementioned benefits and helping to add revenue back to the bottom line by cutting back on fraud and eliminating medical errors resulting from patient misidentification. The future of implementing biometrics for patient identification is bright, and increasing it’s luminosity as more hospitals and healthcare organizations learn about how the technology works to improve patient data integrity.
We took a moment to sit down with the Healthcare Data Management team in their booth on the HIMSS trade show floor to participate in a video interview about our RightPatient® healthcare biometrics patient identification solution to help explain it’s advantages and unique qualities plus provide a firsthand testimonial from a hospital CIO who has implemented our platform using iris recognition.
The interview includes firsthand testimonial from Lee Powe at Hugh Chatham Memorial Hospital in Elkin, NC about how he originally deployed palm vein biometrics for patient ID, but quickly switched to the RightPatient solution using iris biometrics once he saw the advantages plus what results Hugh Chatham has realized since first deploying the technology including: reductions in duplicate medical records, elimination of Medicaid fraud, and a high level of patient acceptance.
Michael Trader from RightPatient is then interviewed to describe the iris biometric patient identification platform, what makes it unique, and why healthcare providers should consider implementation.
Thanks to the staff at Health Data Management for the opportunity to discuss what makes our biometric patient identification solution unique, and allow us to feature Lee’s testimonial on why he values the technology to help increase patient safety and reduce healthcare fraud at Hugh Chatham.
https://www.rightpatient.com/wp-content/uploads/2015/05/testimonial.jpg445800John Traderhttps://www.rightpatient.com/wp-content/uploads/2021/04/RightPatient-Logoup.pngJohn Trader2015-05-07 15:24:142021-05-25 14:56:31Biometric Patient Identification CIO Testimonial Video
RightPatient® released its first eBook covering the topic of how to make sense of patient identification technology options in healthcare.
Accurate patient identification in healthcare is often underrated as one of, if not perhaps the most important functions to ensure the right care is delivered to the right patient. The unfortunate rise in medical identity theft and fraud coupled with the increased scrutiny of the healthcare industry to provide safer environments for patients has pushed many hospitals and medical facilities to reassess patient identification protocols and investigate the adoption of technologies that will help increase authentication accuracy, prevent the creation of duplicate medical records and overlays, and eliminate medical identity theft and fraud. More hospitals are moving away from traditional, paper based identification checks and towards technologies that automate authentication and rely more on proving identities based on “what you are,” compared to “what you have.” Read more
https://www.rightpatient.com/wp-content/uploads/2015/01/RP-eBook-cover-for-blog-post-011915.png10801080John Traderhttps://www.rightpatient.com/wp-content/uploads/2021/04/RightPatient-Logoup.pngJohn Trader2015-01-26 19:42:082015-03-05 09:15:03New eBook: Understanding the Differences Between Patient Identification Technologies
Our thanks goes out to Kelley Hill and Terry Baker from Healthcare Tech Talk for inviting our own Michael Trader to speak about the rising use of biometrics for patient identification in healthcare.
The rising use of using biometrics for patient identification in healthcare has hospitals curious about the technology.
Kelley and Terry recently hosted a podcast to learn more about how the use of biometric identification technology is helping to: Read more
https://www.rightpatient.com/wp-content/uploads/2014/12/Podcast-Features-RightPatien-President-Michael-Trader-Discussing-Biometrics-and-Patient-Identification.jpg445800John Traderhttps://www.rightpatient.com/wp-content/uploads/2021/04/RightPatient-Logoup.pngJohn Trader2014-12-02 20:15:552021-05-23 07:14:05Podcast Features RightPatient® President Michael Trader Discussing Biometrics and Patient Identification
