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

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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.

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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:

  1. 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.
  2. 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.
  3. 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. 

3 Ways Iris Recognition On Smartphones Will Change Patient ID In HealthcareBrad 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.

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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? 

In Your Face: The Future of Federated Patient IdentificationMichael 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.