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In Your Face: The Future of Federated Patient Identification

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The following guest post was written by Michael Trader, Co-Founder and President of RightPatient®

The Patient ID Problem

The recurring and complex issue of how to establish and maintain accurate patient identification in healthcare and how to establish a federated patient identity is getting a lot of attention these days. Accurate patient identification in healthcare is a topic that has always garnered attention and concern, but perhaps it has gained momentum and urgency due to the rapid digitization of the industry and the concerted push for interoperability and national health information exchange to improve individual and population health. The push for increased interoperability could make patient data matching errors and mismatches exponentially more problematic and dangerous and it is widely believed that inadequate patient identification continues to jeopardize patient safety and artificially inflate the cost of care.

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Can the use of facial recognition biometrics help establish a federated patient identity credential in healthcare?

Opinions on the most effective patient identification and patient matching strategies run the gamut. Some say standardizing patient demographic data will help, others feel that establishing a national patient identifier is the answer to the problem. What’s clear is that in the absence of any broad improvements to patient identification, the goal of establishing longitudinal patient records reflecting a patient’s experience across the care continuum, payers, geographic locations, and stages of life, will remain elusive. 

One idea that is catching on with healthcare providers to help improve patient identification in healthcare is capturing a photo during registration that is linked to a unique electronic medical record. 

Use of Patient Photos Increasing

Nearly 2.3 million people were victims of medical identity theft in 2014, according to the “Fifth Annual Study on Medical Identity Theft” released earlier this year by the Medical Identity Fraud Alliance (MIFA), an industry trade association of healthcare providers, payers and service providers – a 21% increase over the 2013 number of 1.8 million. Medical identity theft and healthcare fraud continue to be a pervasive problem throughout the industry and in the absence of a solution, the problem is only going to get worse as millions more Americans are brought into the healthcare fold through Obamacare. 

To help fight the increase in medical identity theft and to ensure a patient’s identity is accurately verified at each step along the care continuum, many healthcare facilities are capturing a patient’s photo at registration and linking that to a unique electronic medical record. The idea is an attempt to protect patient privacy, ensure accurate insurance benefits and subsequent reimbursement, and connect a face with a name, providing another option for identification besides date of birth. The idea is catching on quickly and many are embracing the use of patient photos to increase security and improve patient safety, but what often goes unrealized is the potential for a patient photo to be leveraged as a unique identification credential across the entire care continuum.

Leveraging Patient Photos for a Federated Identity Across the Care Continuum

Whenever we hear the words “patient identification” most of us envision sitting across a registration desk at a hospital or doctor’s office providing demographic data and our driver’s license and/or insurance card. However, patient identification in healthcare has evolved to now include accurate identification at each and every patient touchpoint along the care continuum including patient portals, mhealth apps, telehealth, and home health just to name a few. One of the smartest strategies to ensure accurate patient identification at any point along the care continuum is to capture a patient’s photo at registration and then leverage that photo along the care continuum through biometric facial recognition technology. 

Let’s take patient portals for example. Most of us know that Meaningful Use Stage 2 mandates that healthcare providers provide patients the ability to electronically view, download, and transmit health information. The most popular means to that end is the increasing use of patient portals yet many providers rely on antiquated identification protocols such as user names and passwords to protect access to this personal health information (PHI). The problem is relying on user names, passwords, and/or personal identification numbers (PINs) is risky and could potentially open the door to third party data breaches which are decimating the industry and exposing millions of patients’ PHI. 

As an alternative to using user names and passwords, consider a healthcare organization that captures a patient’s photo during registration. Not only is that photo visible to patient registration staff and clinicians at each episode along the care continuum as a second form of multi-factor authentication, but if a patient signs into a patient portal and the hospital has deployed facial recognition identification to authorize a patient’s identity prior to logging in, the hospital has just successfully leveraged that photo as an identification credential for access to their PHI. Same goes for mHealth apps. Biometric patient identification providers that offer the value and flexibility of facial recognition authentication can also help third party developers and healthcare providers add this technology to off-the-shelf (OTS) or custom mHealth apps as a more secure way of identifying patients with the ability to work with any standard camera. 

Coupled with the fact that 80% of patients are open to healthcare interactions on smart devices but remain highly sensitive to sharing health data, facial recognition biometrics for accurate identification has already proven itself as a more secure alternative than user names and passwords not to mention the fact that 69% of 16 -24 year olds recently polled indicated they believe biometrics will be faster and easier than passwords and PINs and half foresee the death of passwords by the year 2020.  

Writing on the Wall?

With predictions that 50% of smartphones sold by 2019 will have a fingerprint sensor and over a billion biometric mobile devices will ship worldwide by the year 2020 (all equipped with cameras sophisticated enough to use facial recognition), the evolution of patient identification in healthcare is tilting more towards the use of biometrics to replace user names, passwords, and PINs as the preferred method of authentication due to it’s increased security and the flexibility to apply the technology for accurate identification at more patient touchpoints borne from the rapid digitization of the industry. Considering the fact that 41% of consumers stress over smartphone mobile security and biometrics are already overtaking passwords as the de facto identification credential on smartphones, could this be the perfect storm for a rise in the use of facial recognition for accurate patient identification?

Responsible approaches to improving patient identification in healthcare must now include addressing accuracy at any touchpoint where a patient can now access PHI. The advent of facial recognition as a unique identifier in a singular or multi-factor environment is a smart answer to the challenge of ensuring a patient receives accurate care throughout the continuum no matter if they are physically present or accessing services from cyberspace.

Since more patients expect providers to ensure privacy and protect their PHI, is it time to more closely examine implementation of a patient identification solution that leverages biometric facial recognition? 

rightpatient intrepid healthcare about current state of patient identification in healthcare podcastsMichael 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.

 

 

biometric patient identification systems should offer multiple modalities

Why We Offer a Choice of Hardware Modalities for Biometric Patient ID

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biometric patient identification systems should offer multiple modalities
biometric patient identification systems should offer multiple modalities

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.

biometric patient identification prevents duplicate medical recordsDavid 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.