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Importance of patient identification and EHRs- What you need to know

When it was at its introductory stage, the official representatives had stated that medical records going digital and becoming electronic health records (EHRs) would change the healthcare system of the US entirely. They said that EHRs would be the future of the healthcare industry as they will be safe, inexpensive, and easy to use, with a focus on the importance of patient identification. They were leaving conventional paper records in the dust. They were right- partially. EHRs did change the healthcare industry as we know it, it did prove to be the future, and it did make paper records obsolete, only not in the way everyone thought it would. Almost a decade later, EHRs have created abundant problems in the healthcare industry- for patients, health systems, insurance providers, and everyone else involved with it. Moreover, the biggest challenge it caused is patient misidentification, which is a multibillion-dollar burning issue, and presently, everyone is clamoring for a viable solution for the errors caused by EHRs.

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These are some findings by a study which highlights some of the biggest problems of patient misidentifications via EHRs. 

Patient safety

The most obvious and most dangerous problem caused by EHRs is reducing patient safety- EHRs, since their introduction they have created several issues which compromise patient safety. Innumerous incidents have been reported including as wrong treatment, wrong surgeries, even deaths and many more, all of which lead back to software issues, errors, bugs or flaws of EHRs and how it misidentifies patients. We have read many stories of how EHR misidentifications have led to surgeries of wrong patients, or how they have caused financial losses for patients, or, in unfortunate cases, deaths. It has been years that EHRs have become standardized, but there are no efforts to fix these problems within the EHRs to improve patient safety. The importance of patient identification has been underestimated which is why these problems occurred. 

Medical identity theft 

The next issue caused by patient misidentifications is fraudulent activities. EHRs can be tricked since no unique patient identifier exists in the US, which can verify the authenticity of the patient. This fact is commonly known, and due to this, many miscreants can attempt to fool the system and officials and commit medical identity theft, healthcare fraud and many other unlawful activities with the patient ID and get away with it. Such incidents cause financial losses for the patients whose IDs are stolen, and it can also be used for more nefarious purposes like obtaining unprescribed drugs to consume or sell them, and events like these have caused the opioid crisis.

Interoperability issues

When EHRs were introduced, it was expected that given it will be completely digital, there will be some form of seamless integration of the data which can be accessed by a patient’s different healthcare providers. However, fast forward a decade, and the reality is entirely the opposite. Forget about obtaining the same data around the nation. Research has shown that even after using the same EHR system, two different healthcare systems cannot also match a patient correctly, as the match rates are as low as 50%. Thus, information exchange is next to impossible with EHRs, which is why there are so many interoperability seminars being held nowadays.

Physician burnouts

Many doctors have reported dissatisfaction with EHRs, as they spend almost half their day clicking on the system and inputting data to match the patients instead of interacting with the patients themselves. This is problematic not only for the physicians but for the patients too, as more time is spent on EHRs rather than patients. Even then, patients sometimes cannot be accurately matched with their health records.

How to fix these errors?

EHRs’ biggest problem is patient misidentification, and that itself causes all of the above issues. Everyone in the US healthcare learned the importance of patient identification the hard way. However, for the past few years, many have tried to come up with innovative solutions to combat patient matching errors, but the best one is RightPatient– a biometric patient identification solution. It uses the iris scanning modality to ensure a safe, hygienic, and convenient way to detect the patients accurately. Since there is no necessity for physical contact, a look at the camera is enough for identification, and patients find this extremely convenient and easy to use. Once a hospital registers a patient with their proper EHR via RightPatient, he/she can be identified by their biometrics only, which improves patient safety and provides an exceptional patient experience, as per the reports of the hundreds of health systems who are currently using RightPatient to eliminate patient matching errors and saving millions in the process.

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Patient safety issues occur due to EHR misidentifications

When electronic health records (EHRs) were introduced, people lauded it as the next big thing in the technological landscape of the healthcare industry. There were many reasons- it was entirely digital as the name suggests, could be accessed quickly and whenever required, reduced paperwork, among many other reasons. However, once it was widely implemented, the reality was drastically different. Instead of solving these problems, EHRs added additional ones along the way- patient safety issues.

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EHRs have created many problems for patients and healthcare providers alike. They have created risks which were unpredicted at the time of their implementation, which can potentially generate the chance to make grave errors in the treatment processes for patients, specifically if the treatment involves medicines. If this seems terrible, it gets even worse. These problems associated with EHRs are much more catastrophic for children and younger patients since their prescribed drugs are age-based. A study has found that EHRs do not take age into account; thus, it does not tackle the problems associated in a pediatric environment. Other than that, patient safety issues like matching errors are synonymous with EHRs. This is where biometric patient identification systems like RightPatient come into play.

The problems healthcare providers face while using EHRs lead to misidentifications mostly. Some of the challenges EHR users face are:

  • Problems associated with displaying patient information, or incomplete/corrupt patient data
  • Issues related to patient data entries which cause delays
  • Problems with EHRs regarding feedback or notifications
  • Disruption in the workflow if data needs to be shared 

So what are the actual problems associated with patient safety issues caused by EHRs? 

Restricted information results in wrong medications

EHRs usually provide the hospitals with blank data fields which the latter can fill in, if required, regarding making notes making it easier for colleagues. However, they do not know whether their colleagues have access to those specific fields, which can create many problems. For example, if a doctor had made a note within the EHR regarding the medical condition of a patient, say glucose level, the nurse who will administer the medication may not be able to view this note because her access is restricted, not taking into account the medical condition. Such problems lead to a lot of medical complications. Likewise, if required fields are not available to be viewed by everyone in the hospital, the staff may get confused between patients with common characteristics like name, address, etc., causing patient matching errors.

A patient is provided with excess or wrong medication due to an entry error

This is the primary cause of confusing units- between imperial units and metric units. Thus, as it is common in the US to use pounds, and if the weight is entered in pounds, but the EHR accepts only kilograms, this will hamper with the medication. Medications are sometimes dependant on the weight, especially in the cases of children, and they may, unfortunately, receive larger doses of medicine than required, which can be fatal. Other than that, if a patient is misidentified, then this will cause the patient to receive the wrong medication as well.

Missed doses of medications occur due to problematic information displays

EHRs can usually list all the medicines that have been scheduled for patients, along with time and dosage required. However, sometimes due to patient matching errors, they may end up with the medicines planned for some other patient, and this can be fatal for both the patients involved if someone is not cautious enough while administering the medications.

Duplicate patient IDs are created

By far, one of the most significant flaws of EHRs is consistent to this very day. News regarding patient matching errors are very common, and at least one person you know has faced it. How does it happen? Very simply- once a patient comes in and a hospital representative does not find the individual’s record in the EHR, the employee tries to save time by creating a new ID instead of searching more in-depth for the correct record. The staff thinks that this is the way to save time and effort but generates another source for losses by the employer. Sometimes even the patients are to be blamed- if they are not attentive enough while verification, the hospital staff may pick the wrong record for them. Its effects can range from being financial losses to even life-threatening. Due to this single issue, everyone involved with healthcare has suffered- patients, healthcare providers, insurance companies, and so on. Healthcare companies are now clamoring for a unique patient ID solution to eliminate these errors. 

Medical ID thefts take place

Another consequence of patient safety issues via EHRs- fraudulent activities. Addicts and professional thieves can very easily misuse others’ IDs and gain access to healthcare benefits or drugs which are entitled to the actual patients, resulting in financial losses incurred by the unfortunate patients. All this happens because there was no sure way to identify whether the medical record belonged to the perpetrator, until now.

What can be the solution to patient safety issues?

As seen from the problems, all of them point in one direction- patient matching errors. From all of this, patient identification error is seen as a disease in itself of the healthcare industry. Everyone involved is affected and suffers due to it in various ways and degrees. It is a multibillion-dollar problem in the US, where fixing a single entry costs from $1000-5000.

However, its days are numbered, it seems, as biometric patient identification systems like RightPatient are successfully eliminating it from the healthcare providers who use it. It uses iris scanning, which is easy and convenient for patients- all they need to do is look into the camera, and they are identified accurately. Another benefit of this biometric modality is that it also correctly identifies the irises of the younger patients as irises are formed within ten months of birth and remain unchanged. Patients also love it because there is no chance of getting any contagious diseases as it does not require physical touch. Over a hundred healthcare providers are using it, and they are reiterating the same thing- patient experience has improved along with patient safety due to the reduction of errors and the speed of the process.

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Patient misidentification cases are persistent as no industry-wide solution exists

Synchronizing medical information with the appropriate patients accordingly- how hard can it be, right? Well, it is precisely the opposite. It is easier said than done- patient misidentification cases are abundant. Since the introduction of electronic health records (EHRs), people thought that it would make the lives of everyone involved easier, but the reverse has happened. EHRs are filled with issues like misspellings, incomplete data, common names, outdated addresses, and so on, which overall leads to duplication of records. One of the consequences of all of this, according to a reputed organization, is the match rates being an average of 80%, sometimes even lower. It doesn’t sound all that bad, but it is the result obtained from the same healthcare provider the records have been created in! 

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One out of every five patients is likely to suffer from patient identification errors and become one of the many patient misidentification cases in the US. This is not the only problem, however. Patient matching errors are like a web created by spiders- trapping all the parties who are connected to patient identification- patients, healthcare providers, physicians, insurance companies, and so on. 

Patient misidentification cases are also synonymous with rising costs as patient misidentification is famous for being a persistent multibillion-dollar problem in the healthcare industry. A patient matching error costs a hospital around $2000, and if we look at the bigger picture, there are $1.5 million of denied claims for a single hospital in a given year. That is an outrageous amount of money which is completely wasted due to these errors.

As per the definition, patient matching refers to obtaining the accurate medical record for a given patient whenever necessary, to make informed decisions regarding the health of the patient. Healthcare professionals are frustrated that this is not what they experience whenever they are matching the patients with their records and are clamoring for something which will change the industry and generate accurate patient identification- something RightPatient is very good at doing. 

Let’s explore more in-depth into why patient matching errors occur. Patient matching is also reliant on the hospital employees who come into contact with it- they need to fill in the gaps for the new data, or else they might need to update changes in data like a surname, address, etc. to ensure accuracy. However, errors, in this case, maybe made by either the patient, the staff, or both. A patient might not be attentive and may not check whether accurate data has been entered; likewise, an employee may not check with the patient to ensure he has put in the correct data or not. They might think that it is not a big deal, but there lies the problem. Such inconsistencies which they believe are inconsequential lead to increased waiting times, worse patient outcomes, financial losses, wrong treatments, and sometimes even result in deaths. 

A reputed individual in the industry stated that to combat these errors, a lot of countries have switched to unique IDs for patients. Sadly, the US is not doing that yet, as it has no nationwide standardized patient identifier nor any effective strategy to do so. Thus, the responsibility is pushed onto the shoulders of the healthcare providers, each coming up with their own approach for identifying patients. 

A lot of suggestions have been made by experts to solve these errors, like software for patient identification, improvements in data standards, and ID cards, among many other options. However, the only one which is being pursued by many and used by early adopters are biometric patient identification systems. RightPatient is the most appropriate choice to eliminate patient matching errors. It uses iris scanning to ensure that the correct patient is identified, and it does so with ease, as reported by over a hundred healthcare providers who are using it. As it is using iris scanning, it is also hygienic and safe, as it requires no physical contact, and is convenient for the patients, as all they need to do is look into the scanner to match with their records. Since it is also less time consuming than traditional patient matching, it is lauded by many for improving the patient experience as well as patient safety. Patient matching has never been easier and more accurate, according to the users of RightPatient

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Patient identification error causes yet another grave mistake

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

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. 

patient matching accuracy

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.

Scanning a patient for identification

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

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.

Scanning a patient for identification

 

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.

implement iris recognition for patient identification in healthcare

Patient Safety a Focal Point for Latest RightPatient Deployment

implement iris recognition for patient identification in healthcare

Community Medical Centers recently implemented RightPatient to improve patient safety and revenue cycle management. (Photo courtesy of 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

patient ID solutions for patient safety

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:

How We Address the Patient ID Challenge in Healthcare

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

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

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

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

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

Conclusion

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

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

Can’t make it by our booth? Please join us for a beverage at the Georgia HIMSS Chapter reception and sign up here for the event. 

Iris Recognition On Smartphones

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

iris recognition for patient ID in healthcare is a more accurate and secure way to identify patients

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

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.

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

photo biometrics for patient ID in healthcare

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

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

Biometric Patient ID No Longer a Movie Prop

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

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

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

University Health Deploys Photo Biometrics for Patient ID

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

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

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