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Patient identification error causes yet another grave mistake

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Another day, another mistaken patient identification error. However, it was a bit different in this case. Two sisters were informed that their brother was on life support and that is the premise of the whole fiasco.

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The sisters, Rosie Brooks, and Brenda Bennett-Johnson received a call from an official that someone they believed to be their brother Alfonso was breathing with the help of a ventilator at Mercy Hospital and Medical Center of Chicago. However, the sisters stated that they didn’t talk much to their brother. The call started with someone enquiring about relatives of Alfonso, and Brooks replied that she was the sister, and then the official broke the news – that he was fighting for his life in the ICU, explaining that he was beaten quite severely, especially the face.

The Chicago police had found the man beaten to a pulp, and according to reports had neither clothes nor any means of identification on his body. A police spokesperson said that witnesses of the incident identified the injured man as one Elijah Bennett. Later on, he was rushed to the hospital and was on life support. 

During his time in the hospital, as nobody came looking for him, the hospital staff had to take the help of the police in identifying him. The spokesperson said that their database had no “Elijah Bennett,” however, they did find “Alfonso Bennett.” The police later on handed over a picture so that the hospital could help identify any family members of the unfortunate patient. All these events led to the call to Brooks, yet another patient identification error. 

When the sisters rushed to the hospital, they failed to identify the man as their brother Alfonso. However, CPD kept saying that it was their brother. According to the nurse, police used the help of mugshots to identify him, but due to budgetary issues, a proper ID could not be made. 

However, the patient’s situation was worsening, and the sisters faced a challenging situation – whether or not to remove his life support. With immeasurable sadness, they had to sign papers stating that this man was their brother and to remove his life support, and as expected, the man passed away, unfortunately.

After this series of events, the story did not end. After the untimely death of the “brother,” the sisters started making preparations for his funeral, to give him a proper sendoff. Before they could carry out the planning, however, what happened next was a scene out of a dramatic movie – the brother, Alfonso, walked right through the front door of the house of the one sister! She shouted over the phone to her other sister, exclaiming that the brother they had thought was dead is very much alive and healthy and that it almost gave her a heart attack. 

However, this newfound relief and happiness quickly turned into sadness, regret, and remorse – they realized that they had given the green light to end the life of a stranger, thinking it was their brother. They shared how they felt with the media and that they were extremely remorseful about deciding everything about someone unknown. However, the police, later on, identified the person with the help of fingerprints and started looking for his family. Everyone involved was deeply disturbed by this incident and thinking that there are no procedures or strategies to ensure such cases do not happen again in the future. However, this is not an isolated incident, as a very similar situation occurred in 2018. 

Many people are worried that as these incidents are recurring, there is no way to avoid this. They are wrong. RightPatient would have helped the situation in reducing such errors. It is a biometric patient identification system which, and with the help of iris scanning modality, it reduces not only any kind of patient identification error but is also safe, convenient, and quick. Since no physical contact is required, all it needs is a glance from the patient for registration and matching – thus being hygienic and easy to use for both patients and physicians. All these features help to enhance patient safety as well as improve the patient experience, reducing claims by 35% and saving a lot of costs of healthcare systems in the process.

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Hospitals are Prioritizing Patient Matching Accuracy

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Patient identification has been haunting the healthcare industry since its inception. Using the existing practices in the industry, accuracy rates are significantly low and cannot be used to exchange health data effectively, as reported by officials from different healthcare systems such as hospitals and physicians. The industry is in dire need of patient matching improvement. 

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However, the above report is not the only one – other statements point towards the same conclusion of requiring patient matching improvement, as per the research brief from Pew Charitable Trusts. A study was conducted by Pew researchers along with Massachusetts eHealth Collaborative (MAeHC) that sought to identify the current situation of patient identification in the healthcare industry. They did so by collecting information from different healthcare executives with the use of interviews. Another aspect of the study was to identify how to achieve patient matching improvement. The sample of this study was healthcare experts and influential figures from various practices and sizes who served numerous patients in diverse regions all over the country.

A vast majority of the sample expressed the same view – patient identification and matching were quite inaccurate and desperately needs an overhaul, thanks to the increasing demand for interoperability.

Healthcare providers are now motivated to exchange more health data due to the recent CMS Promoting Interoperability program. That’s not all! CMS is also going to be granting incentives to accountable care organizations (ACOs) who will show savings through activities which support care coordination.

According to the Pew researchers, healthcare systems like hospitals and clinicians eligible for these programs need to exchange information with others so that all of the parties have the latest patient data from other various institutions.

The hospital officials stated that it is quite challenging to measure the match rates, resulting in their efforts being ineffective to examine and improve the patient identification rates. They also had difficulty providing a number when asked for the identification rates within their organizations. This was because many hospitals only keep a record of the duplicates identified through EHRs, whereas others do not know which files are relevant and which are unlinked.  Thus, without knowing the actual number of correct matches, these healthcare systems cannot determine their match rates. Therefore, only the amount of misidentifications was provided by them, thus summarizing the research.

It was also identified that healthcare systems could easily match patient identities when asked by organizations they are in constant contact with. Both automated and manual processes are utilized to link records to the correct individual.

However, whenever it is an organization with whom the healthcare system is not in contact with regularly, match rates are inclined to be lower. This is because these unsolicited requests introduce more blockades because the healthcare system may not have a record of that individual, and the healthcare system uses automated processes for such applications. On top of that, the research also showed that urban areas require better identification rates compared to rural areas as not much-sharing activities take place in the latter.

Some healthcare executives also think that improved patient identification matching requires significant costs. However, many believe that biometric patient identification is the solution to improve matching rates and is worth the cost. Some hospitals are even utilizing iris scanning solutions like RightPatient to identify all their patients and pull their relevant data from their EHRs and show a significant change. They report that it is fast, accurate and improves the overall patient experience as well as speeding up the whole process and saving valuable time of the physicians so that they can concentrate on more critical tasks such as the patients themselves. 

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Hospitals Need a Better Patient Matching System to Identify “John Does”

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Patient identification or lack thereof is a topic which we hear about every day. We always read news about mistaken patient identities due to mix-ups, frauds, insufficient patient matching system, etc. What about those who arrive at the hospitals and are never identified? Let’s look at these John Does but from a different angle – from the perspective of the emergency hospital staff who receive and treat them rather than from the outside viewer.

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Imagine this: A man in his 50’s arrived in the emergency room, wheeled in by paramedics, shaven head, brown eyes, unconscious. To make matters worse, he had no materials on him that could have helped the staff with his identity for crosschecking with their patient matching system – no wallet, cellphone, papers, or anything at all. To top it all off, he did not have any distinguishing features such as a tattoo or scar. This incident was back in 2017 – a car hit him in January, and he was rushed in with a fatal brain injury to Los Angeles County+USC Medical Center. He did not have any visitors, nor was he ever reported missing. Sadly, he passed away being a John Doe, no one ever knowing who he was.

This is just one example of how serious and pressurizing it is for the hospital staff to deal with such emergencies regarding patient matching systems, primarily when they consist of a John Doe. In these cases, they are required to become a form of detective in order to determine the identities of these unknown patients when they arrive at the hospitals. This is done for several reasons: firstly, finding the identity helps with the treatment – the staff can then determine the patient’s medical history and whether he/she has any complications or not. Also, it allows them to find and contact a next of kin or close one to make any critical decisions if it becomes necessary. The identity also helps the hospital to contact the insurance company or government health programs, whichever the patient is associated with, regarding payment of their services.

However, there is a catch – federal laws concerning privacy make it difficult for the hospital staff to determine the unknown patients’ identities. In the previously mentioned example as well as in many similar cases, the team along with the social workers frantically rummage through whatever a John Doe brings with him – bag, clothing, phones without passwords, receipts, or whatever piece of document or device which can help them identify the individual and proceed to their patient matching system. Their efforts don’t stop there – they also question the paramedics and dispatchers. Tattoos, piercings, and scars are duly noted, and when all else fails, dental records are checked against the individual. However, because the police can only access fingerprints, it is often left unchecked, mainly because the police only involve themselves only when a criminal element is present in the situation.

These John Does are usually the ones hit by vehicles and had unfortunately left their IDs back at home, and can also be poor people with cognitive diseases such as Alzheimer’s. Other times, they are overdosed individuals. Unsurprisingly, socially isolated individuals like homeless people are the ones who are the most difficult to identify, and sadly, they are the ones who are the most common John Does in recent years.

The Health Insurance Portability and Accountability Act (HIPAA) was made to ensure the privacy of an individual’s medical data. However, in cases of these John Does, it can make patient matching increasingly difficult as the hospitals cannot release any information to those searching for missing family members regarding these patients. For instance, a patient with Alzheimer’s was admitted to a NY hospital with the name “Trauma XXX.” The police and his family members went in search for him several times at the very same hospital, but they were told nothing. Weeks later, a doctor while watching television saw that man in the news and identified him as the patient “Trauma XXX.” Afterward, when charged with why the hospital hid the patient, the staff said that they did not ask about “Trauma XXX” specifically.

Due to this incident, a lot of rules were set up and changed regarding information requests about missing persons. It consisted of following over twenty steps for hospitals, starting from notifying the reception, to taking DNA samples.

All of this could have been avoided if a fast, accurate, and reliable patient matching system was used. RightPatient is one such patient identification system that utilizes biometrics and AI. Through this, it uses iris scanning to quickly match the patients with their EHRs so that the whole patient experience can be enhanced. It also helps the physicians focus on more critical tasks such as the patients themselves instead of going through matching patients. Thus, not only is it beneficial for the patients, but it is also beneficial for the hospitals as well, creating a win-win situation for all and ensuring patient safety through the enhancement of the whole patient experience.

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Patient Safety a Focal Point for Latest RightPatient Deployment

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Community Medical Centers recently implemented RightPatient to improve patient safety and revenue cycle management. (Photo courtesy: The Fresno Bee)

Working to help increase patient safety in healthcare, Community Medical Centers (CMC) in Fresno, CA knew that implementing RightPatient using photo biometrics for patient identification was a step in the right direction. With a quick snap of a camera, patients can now rest assured that their medical identities are protected and clinicians will always have the most up-to-date, comprehensive medical record in their possession during treatment and care. 

The benefits of RightPatient extend beyond protecting patient medical identities however. A recent article in The Fresno Bee that covered the deployment of photo biometrics for patient identification at CMC illustrates the negative effect that chart corrections were having at the facility and how this was impacting revenue cycle management. The article states:

“Charting errors usually are caught early, before any treatment begins, but having to move information into the right chart is time consuming and expensive: Community Medical Centers spends about $190,000 a year to research and correct mismatched charts, she said. And that amount doesn’t include the approximately $300,000 a year the hospital system has estimated it loses on accounts that can’t be billed to insurance companies because the patient identification is incorrect.” (Source: http://bit.ly/2qaFJtw)

RightPatient helps establish accurate patient identification to ensure proper billing at CMC with the potential to drastically reduce chart corrections and increase CMC’s revenue collections. This is often an overlooked benefit of implementing biometrics for patient ID in healthcare.

Take a look at the video covering the deployment of RightPatient at CMC here:

Are you seeking to improve patient safety, reduce the time and money spent reconciling chart corrections, and increase revenue? RightPatient may be the answer. Contact us today for a free demo and let us help direct you on the path of accurate patient ID so you can realize the benefits of other healthcare organizations using photo biometrics.
patient ID solutions for patient safety

How We Address the Patient ID Challenge in Healthcare

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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:

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  • 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
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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.

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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. 

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.

University Health Reaps Benefits of Photo Biometrics for Patient ID

University Health Reaps Benefits of Photo Biometrics for Patient ID

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University Health Reaps Benefits of Photo Biometrics for Patient ID
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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.

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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. 

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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Increasing Patient Safety at Pediatric Cancer Centers

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A patient access rep uses photo biometrics on a pediatric patient for accurate identification.

Today, RightPatient® proudly announced a brand new initiative aimed at increasing patient safety by donating our photo biometrics patient identification solution to pediatric cancer centers across the country. Patient identification errors are a realistic problem across the entire healthcare industry but perhaps no more magnified in presenting a danger to patients than administering cancer treatments — an extremely dangerous scenario where outcomes could prove to be lethal.

Recognizing an opportunity to give back to the pediatric healthcare community and proactively prevent patient identification errors that have the potential to jeopardize child safety, our cloud-based biometric patient ID platform using photo biometrics follows a simple, intuitive, and hygienic photo capture process. With the ability to be used on patients as young as 12 months of age, RightPatient® provides pediatric cancer centers the opportunity to reduce the risk of medical errors linked to incorrect patient identification prior to administering radiation or chemotherapy treatment.

Details of the initiative can be found here: RightPatient® Donates Patient Identification Software to Pediatric Cancer Centers.

We understand the risks associated with patient misidentification in healthcare. It’s important to call attention to the dangers of not accurately identifying patients in all contexts, particularly those that present a clear and present lethal danger such as administering cancer treatments. Our mission is to offer the most comprehensive patient identification solution that increases patient safety, reduces costs, improves the quality of care, and enhances the patient experience.

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Are Children Eligible to Enroll in Biometric Patient ID Solutions?

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The rapid spread of using biometric patient ID solutions has helped to increase safety, reduce duplicate medical records, eliminate healthcare fraud, and strengthen patient data integrity. As most healthcare providers who implement biometrics for patient ID quickly realize – patient participation is the most important factor to ensure deployment success and realize the strongest return on investment.

Traditionally, we see the use of biometrics as a strong security solution to protect our own medical identities, but what about children? Are they eligible to enroll in a biometric patient ID platform and realize the same protection as adults? The short answer is: It depends on the biometric patient identification solution that you select.

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Often overlooked as a key demographic that is just as susceptible to the perils of medical identity theft and inaccurate identification, protecting a child’s medical identity is just as, if not more important than protecting our own identities. On a recent podcast with Eva Velasquez, President and CEO of The Identity Theft Resource Center, I asked Eva how important it is to protect a child’s medical identity and what is the earliest age that a child can have their medical identity stolen? Here is what she said:

“Protecting a child’s medical identity is definitely a growing concern in healthcare. And, it isn’t only protecting their medical identity but their identity as a whole. People generally do not believe that (medical ID theft) is a crime that affects children, but I can tell you that we (Identity Theft Resource Center) handle and re mediate cases of child ID theft on a daily basis. It’s really about ensuring that a child’s personal information doesn’t make it into the hands of a thief. The crux of the problem with child medical ID theft is the time of discovery…the most common ways that people find out they are victims of ID theft is because they are trying to accomplish something and they hit a barrier.

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If you think about it, children just don’t engage with the outside world the same way adults do – they aren’t out applying for credit, trying to get a driver’s license (before the age of 16) and go through background checks. All of these external things that pop up and make us take notice of our identities, they just don’t happen with children, so that’s where it becomes a parent’s responsibility. For parents, it’s all about taking as many proactive steps as you can. Some states allow you to freeze your child’s credit, and you can certainly always request your child’s medical records to go through them and ensure their accuracy. As a parent, you need to read the Explanation of Benefits (EOBs) after your child has a pediatric visit.”

I then asked Eva what the earliest age is that a child can have their medical identity stolen. She offered this response:

“I hate to say this because it almost sounds like fear mongering but it’s absolutely true – it can actually be before the child is born. If a criminal just decides to make up a social security number that hasn’t been issued yet and starts to use it, it doesn’t necessarily make it back to the social security administration office so your child is born, you go to get a social security number issued to them and you receive it but a criminal has already been using it – so child ID theft can actually happen before they are born.”

Clearly, there is a sense of urgency to ensure a child’s medical identity is protected from the moment they are born! The problem that some healthcare providers face who have implemented certain biometric hardware modalities for patient ID is that not all are eligible for children to enroll. Instead, some biometric patient ID solution providers recommend that a child not enroll until they reach a certain age, or until certain physiological attributes are mature enough to be recognized by a hardware device. This essentially excludes children from leveraging the identity protection and security advantages of using biometric patient ID for identification at the age where they may perhaps be most vulnerable to having their identities stolen. 

The key for any healthcare provider seeking to implement biometrics for patient ID is to deploy a solution that has the ability to capture a child’s unique biometric profile at the youngest age possible and then use that as their identity credential for the rest of their lives without the inconvenience of re-enrolling as a child matures or the security risks of not being eligible to enroll at all.

Protecting a child’s medical identity is among the many reasons that we recommend the use of photo biometrics for patient identification in healthcare. Children as young as 10 months old can enroll and since the iris is a human physiological attribute that forms at 10 months of age and remains static throughout our lifetimes, it represents a viable and stable credential for accurate identification. 

As more healthcare organizations around the world evaluate the use of biometrics for patient identification, it is critical that all possible patient options and scenarios are addressed to maximize return on investment and ensure that any patient, no matter how young or old, can take advantage of the benefits to protect their medical identities. 

For a full version of our podcast with Eva Velasquez, President and CEO of The Identity Theft Resource Center, click here.

frost sullivan on growth and potential of iris biometrics

New Podcast: Frost & Sullivan on Growth and Potential of Iris Biometrics

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frost sullivan on growth and potential of iris biometrics
iris biometrics for patient identification in healthcare

Listen to our latest healthcare podcast where we interview Ram Ravi from Frost & Sullivan to discuss iris biometrics.

Last year, global research and consulting organization Frost and Sullivan released a research report entitled: “The 5 Year Opportunity Analysis of the Global Iris Recognition Market.” According to Frost & Sullivan’s Web site, the report:

“analyses trends in the iris recognition market across the government and commercial sectors, globally.”

Frost & Sullivan reports that iris biometrics is predicted to steadily grow as a prominent technology for individual identification within a number of verticals including patient identification in healthcare. However, misunderstandings of this technology are still widespread along with questions about its potential applications. Frost & Sullivan covers:

  • Key market drivers
  • Potential applications for iris biometrics
  • Accuracy rates compared to other biometric modalities (palm vein and fingerprint)
  • Unique features (e.g. – non-contact, hygienic form factor)  

We invited Ram Ravi, lead research analyst for Frost & Sullivan, to join us on our latest podcast to discuss this report and provide some insight into his research on iris recognition biometrics to help our community better understand this technology and its potential to thrive as a future biometric identification modality, especially for patient identification in healthcare. In light of the continued misunderstandings of iris biometrics, this podcast covers:

  • Overview of the report, the “5-year Opportunity Analysis of the Global Iris Recognition Market”
  • Why Frost & Sullivan sees growth of iris recognition in healthcare as a key mechanism for expansion of this biometric identification technology
  • The factors leading Frost and Sullivan to conclude that iris recognition is poised for strong growth as a dominant biometric identification management technology
  • When faced with a choice of biometric modalities to deploy for patient identification in healthcare, why Frost & Sullivan recommends iris recognition technology over other modalities such as fingerprint or palm vein
  • How Frost & Sullivan came to the conclusion that iris biometrics is the most accurate biometric modality
  • What Frost & Sullivan would say to someone who has a mistaken idea about iris recognition based on false information
  • Aside from healthcare, the additional potential for iris recognition in the commercial space
  • The impact of the rising emphasis on connected devices (IoT) on the biometric market or specifically the iris recognition market

Among the several conclusions that Frost & Sullivan reported, these are the highlights:

  • Iris biometrics is the most accurate biometric technology in the market when compared to fingerprint and palm vein biometrics for patient identification in healthcare
  • The non-contact, hygienic form-factor of iris biometrics renders it a safer technology to use for patient ID in healthcare that supports hospital infection control
  • Iris biometrics is the same thing as having your photo taken with a digital camera and is extremely non-invasive
  • Frost & Sullivan feels that iris biometrics has a much stronger potential for growth for patient identification in healthcare than fingerprint or palm vein due to the aforementioned points
  • Iris biometrics has strong potential for growth related to the Internet of Things (IoT)

We encourage you to download a full version of the podcast to hear more about iris biometrics. 

A link to the podcast can be found on our healthcare biometrics podcast page. A link to the podcast summary slides can be found on our SlideShare page. 

Thank you to Ram Ravi and the Frost & Sullivan team for the opportunity to discuss their research!

For a full list of all our podcasts, please visit our podcast page.