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Is Petitioning Congress the Answer to Achieving Accurate Patient ID?

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Hat tip for the recent efforts by the American Health Information Management Association (AHIMA) to launch a petition drive that will move Congress to lift the federal legislative ban that has prohibited the U.S. Department of Health and Human Services (HHS) from participating in efforts to find a patient identification solution. It’s a noble effort and adds fuel to the hot fire burning in the industry to solve the persistent and dangerous problem of achieving accurate patient identification in healthcare. We understand that the effort to improve patient identification in healthcare has many downstream benefits to the entire industry including (but not limited to):

— Revenue cycle management
— Patient safety
— Health information exchange
— Population health

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AHIMA’s efforts to petition Congress to life the federal moratorium on funding research on developing a national patient identifier may not do much to adequately solve the problem.

The fact that organizations with the clout of AHIMA and CHIME have contributed their powerful voices to the battle of improving patient ID in healthcare is advantageous to the end goal of finding a universal solution that can be adopted collectively throughout the industry. AHIMA and CHIME’s efforts are working to garner more attention to the persistent patient matching problem in healthcare and sparking more discussions about how to solve the problem. Often relegated as a back seat initiative in favor of other healthcare technology initiatives (e.g. – ICD-10, EHR implementation, interoperability), we have always believed that improving patient identification in healthcare should be higher on the priority list.   

AHIMA’s initiative has merit, but is advocating the use of a credential predicated on the concept of presenting something you have or know the answer to solving the patient identification problem in healthcare? One of the reasons that the healthcare industry has struggled with accurate patient identification is that legacy methods of identifying patients have proven to be easy targets to exploit. Human identification generally falls into three distinct categories:

  • “What you know” – address, phone number, date of birth
  • “What you have” – insurance card, driver’s license, passport, government issued identity
  • “Who you are” – biometrics

Traditional identification methods generally rely on asking a patient what they know or what they have but we already know that these are frequently abused and easy sources to commit fraud. Just look at the continued rise in cases of medical identity theft at the point of service – an estimated 2.3 million Americans or close family members had their identities stolen during or before 2014, and a large number of these cases involve family members stealing or sharing medical insurance credentials.

In geographic locations throughout the country where a large percentage of the patient demographic may share similar names, providing a false name or multiple variations of a name at the point of service in order to defraud the system is common. An example widely used throughout the industry to illustrate this is the Harris County Hospital District in Houston where among 3.5 million patients, there are nearly 70,000 instances where two or more patients shared the same last name, first name and date of birth. Among these were 2,488 different patients named Maria Garcia and 231 of those shared the same birth date.

In geographic locations throughout the country where a large percentage of the patient demographic may share similar names, providing a false name or multiple variations of a name at the point of service in order to defraud the system is common. An example widely used throughout the industry to illustrate this is the Harris County Hospital District in Houston where among 3.5 million patients, are were nearly 70,000 instances where two or more patients shared the same last name, first name and date of birth. Among these were 2,488 different patients named Maria Garcia and 231 of those shared the same birth date.

Pushing Congress to lift the federal moratorium on funding research on developing a national patient identifier may lead to a solution that requires patients who opt-in to bring this credential with them when seeking medical treatment. In the absence of incorporating an additional identification credential that relies on “who you are,” simply creating another individual authentication credential that relies on “what you know” or “what you have” leads us down the same path of abuse and fraud. After all, in theory the national patient identifier would be similar to a social security number or other credential that is subject to being stolen, shared, or swapped just like current methods of identification. Do we really want to allow this to happen? Seems as if this solution would be the equivalent or rearranging the deck chairs on the Titanic. 

Moving forward, the smarter way to solve the identification crisis in healthcare is to adopt technology that identifies patients by who they are, or some sort of a combination of what you have or what you know with who you are. For example, the use of biometrics for patient identification – already a proven technology that patients accept and significantly reduces duplicate medical records, overlays, medical identity theft, and fraud – would be a more sensible way to identify patients to alleviate the problems caused by misidentification. 

Lobbying Congress to lift the moratorium on funding research to develop a national patient identifier won’t solve the patient ID problem in healthcare unless the industry realizes that it must move away from antiquated identification methods that rely on what you have and/or what you know and instead shift to identifying patients by who they are. Unless this is part of the equation, healthcare will continue to spin it’s wheels in the effort to solve the vexing problem of how to achieve 100% accurate patient identification.

blab session discusses the current state of patient identification in healthcare

IntrepidNow Radio Discusses Current State of Patient Identification in Healthcare

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blab session discusses the current state of patient identification in healthcare

Delighted at the opportunity to discuss the current state of patient identification in healthcare with Joe Lavelle (@Resultant) from IntrepidNow Radio and Jared Johnson (@jaredpiano) today via blab. Joe and I had a lengthy discussion about patient ID in healthcare at this year’s HIMSS16 trade show and Joe was gracious enough to follow up our conversation with a formal blab session addressing the topic. Here is a brief summary of what we discussed today:

blab session discusses the current state of patient identification in healthcare

Joe Lavelle from IntrepidNow Healthcare Radio interviewed us during a blab session today to talk about the current state of patient identification in healthcare.

  1. How does RightPatient® serve its customers?
  2. Clearing up some of the common misunderstandings about the use of biometrics for patient identification in healthcare.
  3. What is the current state of the patient identification market? What are the leading technologies? What are the key issues? How are customers deploying patient ID solutions?
  4. Are their privacy issues related to implementation of patient identification solutions?
  5. A recent guest on my show, a telemedicine company CEO, told Joe that his largest competition is the status quo. Is that also true for RightPatient®?
  6. Information on CHIME’s National Patient ID Challenge launched in January.
  7. What can we expect from RightPatient® in 2016?

Grateful for the chance to talk about this critical issue in healthcare and offer insight on solutions and initiatives underway. It was an excellent discussion and we were able to touch on a number of issues affected by inaccurate patient identification including: medical identity theft/healthcare fraud, duplicate medical records/overlays, identifying patients at new touchpoints along the care continuum, the advantages of using photo biometrics for patient ID, the culture of patient ID, patient privacy, and more!

Here is the blab session in its entirety: 

Thank you to Joe Lavelle and Jared Johnson for their time today! Stay tuned to the “Resources” section of our Web site for future podcasts, blab sessions, and video interviews. 

 

review of biometric patient identification educational session at 2016 HIMSS conference

Takeaways on Biometric Patient ID from HIMSS 2016 Conference

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review of biometric patient identification educational session at 2016 HIMSS conference
Takeaways on Biometric Patient ID from HIMSS 2016 Conference

Several educational sessions at the 2016 HIMSS conference were dedicated to patient ID in healthcare.

Like most who attended last week’s annual HIMSS conference in Las Vegas, I was a bit overwhelmed at the amount of information, activities, and traffic swirling around the Exhibit Halls and lecture rooms. It’s difficult to not get swallowed up among 40,000+ attendees and even more hard to block out the flashing lights and unbelievably cool technology on display in order to focus on what matters most, but I had a set agenda to follow and stuck to my plan. This was the third HIMSS conference I have attended and I continue to be amazed at the outstanding job that HIMSS staff does to pull off this event each year, which only seems to keep growing in size, scope, and complexity. Hat tip to HIMSS staff who work tirelessly on making this event successful!

Buried among the central themes of advancing interoperability, cybersecurity, population health, consumer and patient engagement, and connected health, there were a handful of educational sessions dedicated to patient identification in healthcare including a presentation by Dr. Raymond Aller, a Clinical Professor at the University of California entitled: “Patient Identification: Biometric or Botched?”

This was the only educational session at the conference that I could see which was 100% dedicated to the use of biometrics for patient ID in healthcare and it was well attended – I counted approximately 75 people who showed up for the session. 

Dr. Aller presented what I felt was a fair, unbiased analysis of the patient identification landscape in healthcare and a thorough analysis (including strengths, weaknesses, and deployment examples) of biometric patient identification modalities available to hospitals and health organizations. Here is a brief overview of Dr. Aller’s central themes, and what he presented:

  1.  Text based patient identification is simply no longer an efficient or safe way to ID patients: Dr. Aller began his presentation by listing the consequences of failing to properly identify a patient including the patient safety, legal, and liability issues and public relations nightmare misidentification can create. He then demonstrated the drawbacks and limitations of text based patient ID calling it “obsolete” and pointing out that in 2016, hospitals and healthcare organizations can no longer afford the risks associated with this form of identification. He even went so far as to question the viability of continuing to use a master patient index (MPI) as a patient data repository, calling it a “dangerous” and “obsolete” concept.
  2. Healthcare fraud and medical identity theft: Dr. Aller then explained the potentially catastrophic consequences of healthcare fraud, medical identity theft, and duplicate medical records from misidentifying a patient and the additional problems and risks that data merges pose stressing that too often, hospitals spend hundreds of thousands (sometimes millions) of dollars a year cleaning data and merging records without ever having the foresight to implement technology that will sustain patient data integrity in the future. Bottom line? Relying on names and dates of birth (“what you know”) and ID cards (“what you have’) to identify patients is simply no longer safe or sufficient. The patient identification industry is evolving to identify patients by “who they are.”
  3.  Biometric patient identification technology overview: The last third of Dr. Aller’s presentation centered on an overview of biometric patient identification technologies available including a detailed description of fingerprint, palm vein, and iris recognition (also referred to as “photo biometrics”). Although Dr. Aller left out some key points about these biometric patient identification modality options (for example, he did not mention the back end biometric matching technology behind each of these modalities and why this is important to understand), his review was fair and provided a relatively unbiased look at the strengths and limitations of using biometrics for patient identification. One interesting point that Dr. Aller made was the fact that in a clinical setting, the use of fingerprint and palm vein biometrics for patient identification creates questions about hygiene and supporting hospital infection control policies because a patient must physcially touch a device for identification – an attribute that is not a factor with iris recognition since it is contactless to the patient. 
  4. Conclusion: Dr. Aller concluded his presentation by further extolling on the strengths of biometrics for patient identification but cautioned the audience that biometrics are by no means a panacea due to select psychological, sociological, and physiological limitations. However, Dr. Aller did point out that his research indicated that when presented with the option of using biometrics to protect their medical identities and keep them safe throughout the care continuum, over 99% of patients opt-in to using the technology.
  5. Question and Answer session: Selected attendees asked some very interesting questions during the Q&A session including one woman from a neonatal hospital who lamented that it is very difficult to identify newborns with biometrics since neither palm vein or fingerprint biometrics can be used on children (photo biometrics can be used on any child 10 months or older). Another person asked what biometric technology could be used to verify patient identities over the phone when they call in requesting access to protected health information (PHI).

Several other educational sessions during HIMSS were centered on patient identification in healthcare with several common themes emerging:

  1. The healthcare industry is slowly shifting from credential based to identity centric patient ID.
  2. A central reason that more hospitals aren’t researching how to more effectively identify patients are competing priorities. Healthcare simply has to drop the “wait and see” attitude to more effective patient identification. 
  3. 198,000 deaths annually can be contributed to patient misidentification.
  4. Patient misidentification resulted in $77 billion Medicare and Medicaid fraud and improper payments.

If I had a crystal ball, I’d venture to say that patient identification will continue to be a hot-button topic in healthcare during 2016 and beyond, largely because so many other elements of care along the continuum are contingent upon it and so many back-end processes and functions (e.g. – revenue cycle management) depend on getting it right. 

What lessons did you take away from any of the HIMSS 2016 educational sessions dedicated to patient ID in healthcare?

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Achieving Higher Patient Data Integrity Requires a Multi-Layered Approach

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The following guest post was written by David Cuberos, Enterprise Sales Consultant with RightPatient®

Patient Data Integrity and Duplicate Medical Records

It is a well known fact that inaccurate or incomplete data within a patient’s medical record can be a catastrophic risk to patient safety, not to mention a serious hospital liability. As a result, many hospitals and healthcare organizations across the industry are closely examining the integrity of their health data and taking steps to clean it, most by using third party probabalistic and deterministic de-duplication matching algorithms (often directly from their EHR providers) that search and identify possible duplicates for an automatic or manual merge.

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Improving patient data integrity in healthcare requires a multi-layered approach that addresses both data matching and more accurate patient identification.

Several key players in the healthcare industry including CHIME, AHIMA, HIMSS, and major EHR providers are beating the drum to improve patient identification and patient data matching, all important catalysts for the push to improve patient data integrity.

If you are a hospital or healthcare organization that is knee deep in the middle of a health IT initiative to help increase patient data integrity (especially in the context of prepping for participation in a local or regional health information exchange), you may want to stop and reassess your strategy.  The rush to cleanse “dirty data” from EHR and EMPI databases is often addressed by relying on an EHR vendor’s de-duplication algorithm which is supposed to search and identify these duplicate medical records and either automatically merge them if similarity thresholds are high, or pass them along to the HIM department for further follow up if they are low. 

This could be a very effective strategy to cleanse an EMPI to ensure patient data accuracy moving forward, but is it enough? Is relying on an EHR vendor’s de-duplication algorithm sufficient to achieve high levels of patient data integrity to confidently administer care?  It actually isn’t. A more effective strategy combines elements of a strong de-duplication algorithm with strong patient identification technology to ensure that patient data maintains its integrity.

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Duplicate Medical Record Rates are Often Understated

The industry push for system-wide interoperability to advance the quality and effectiveness of healthcare for both individuals and the general population has been one of the main catalysts motivating healthcare organizations to clean and resolve duplicates but it also has revealed some kinks in the data integrity armor of many different medical record databases. Most hospitals we speak with either underestimate their actual duplicate medical rate, or do not understand how to properly calculate it based on the actual data they can access.  An AHIMA report entitled “Ensuring Data Integrity in Health Information Exchange” stated that:

“…on average an 8% duplicate rate existed in the master patient index (MPI) databases studied. The average duplicate record rate increased to 9.4% in the MPI databases with more than 1 million records. Additionally, the report identified that the duplicate record rates of the EMPI databases studied were as high as 39.1%.”

“High duplicate record rates within EMPI databases are commonly the result of loading unresolved duplicate records from contributing MPI files. EMPI systems that leverage advanced matching algorithms are designed to automatically link records from multiple systems if there is only one existing viable matching record. If the EMPI system identifies two or more viable matching records when loading a patient record, as is the case when an EMPI contains unresolved duplicate record sets, it must create a new patient record and flag it as an unresolved duplicate record set to be manually reviewed and resolved. Therefore, if care is not taken to resolve the existing EMPI duplicate records, the duplicate rate in an EMPI can grow significantly as additional MPI files are added.”

(AHIMA report, “Ensuring Data Integrity in Health Information Exchange”  http://library.ahima.org/xpedio/groups/public/documents/ahima/bok1_049675.pdf)

Clearly, the importance of cleansing duplicate medical records from a database cannot be understated in the broader scope of improving patient data integrity but relying on an EHR vendor’s probabilistic matching algorithm as the only tool to clean and subsequently maintain accurate records may not always be the most effective strategy. Instead, healthcare organizations should consider a multi-layered approach to improving patient data integrity beyond relying exclusively on an EHR vendor’s de-duplication algorithm. Here’s why.

Why Patient Data Integrity is a Multi-Layered Approach

Often not clearly explained to healthcare organizations, EHR de-duplication algorithms allow end users to set matching thresholds to be more or less strict, which comes with trade-offs. The more strict the threshold is set, the less chance of a false match but the higher chance of a false reject. The less strict the algorithm is set, the lower the chance of a false reject but the higher the chance of false acceptance.

Translation: Often times hospitals who say they have a low duplicate medical record rate might have a strict false acceptance rate (FAR) threshold setting in their de-duplication algorithm. That may mean that there could be a significant amount of unknown duplicate medical records that are being falsely rejected. Obviously, this is a concern because these databases must be able to identify virtually every single duplicate medical record that may exist in order to achieve the highest level of patient data integrity.

So, what can healthcare organizations do to ensure they are not only holistically addressing duplicate medical record rates, but also adopting technology that will maintain high patient data integrity levels moving forward? One answer is to implement a stronger de-duplication algorithm that has the ability to “key” and link medical records across multiple healthcare providers on the back end, and deploying a technology such as biometrics for patient identification on the front end to ensure that not only is care attribution documented to the accurate medical record, but a provider has the ability to view all patient medical data prior to treatment. 

For example, many credit bureaus offer big data analytics solutions that can dig deep into a medical record database to better determine what identities are associated with medical records. These agencies are experts in identity management with access to sophisticated and comprehensive databases containing the identification profiles for millions and millions of patients — databases that are reliable, highly accurate, and secure with current and historical demographic data.

Once data is analyzed by these agencies, they are able to assign a “key” to match multiple medical records for the same patient within a single healthcare organization and across unaffiliated healthcare organizations to create a comprehensive EHR for any patient. Offering a unique ability to augment master patient index (MPI) matching capabilities with 3rd party data facilitates more accurate matching of medical records across disparate health systems and circumvents the problem of MPIs assigning their own unique identifiers to individual patients that are different than unaffiliated healthcare organizations that have their own MPI identifiers.

Benefits of using a third party big data analytics solution that has the ability to “key” medical records for more accurate patient data matching at a micro level include:

  • More accurate identification of unique patient records resulting in a more complete medical record and improved outcomes
  • Prevention of duplicate medical records and overlays at registration reduces the cost of ongoing MPI cleanups
  • Medical malpractice risk mitigation 
  • Reduced patient registration times
  • The ability to more accurately link the most current insurance coverage patient information for more accurate billing

On the marco level, benefits include: 

  • Positive patient identification for eligibility verification, billing, coordination of benefits, and reimbursement
  • Improved care coordination
  • Information and record keeping organization 
  • Linkage of lifelong health records across disparate healthcare facilities
  • Aggregation of health data for analysis and research
  • Accurately aggregating patient federated data via a HIE

Conclusion

We have long championed the idea that improving patient data integrity can never be achieved in the absence of establishing patient identification accuracy or relying on EHR vendor de-duplication algorithms as the single resource to clean an MPI database. Hospitals and healthcare organizations that are truly committed to cleansing duplicate medical records from their databases and preventing them from reoccurring through more accurate patient identification must consider deploying stronger front and back end solutions that have the ability to more comprehensively identify and resolve these dangers to patient safety. Why not leverage the clout and reach of these big data analytics solutions to more effectively improve patient data integrity instead of putting all of your eggs in an EHR vendor’s de-duplication algorithm?

What other strategies have you seen as effective methods to increase patient data integrity in healthcare?

biometric patient identification prevents duplicate medical recordsDavid Cuberos is an Enterprise Sales Consultant with RightPatient® helping hospitals and healthcare organizations realize the benefits of implementing biometrics for patient identification to; increase patient safety, eliminate duplicate medical records and overlays, and prevent medical identity theft and healthcare fraud.

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Healthcare Scene Blab Tackles Patient Matching and Patient Identification

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patient matching and patient identification in healthcare
Healthcare Scene Blab Tackles Patient Matching and Patient Identification

Healthcare Scene’s John Lynn hosts a blab conversation on the topic of patient matching in healthcare with Michael Trader and Beth Just.

Our President Michael Trader was grateful for opportunity to discuss patient matching and patient identification in healthcare with Beth Just from Just Associates during John Lynn’s blab session earlier today. The discussion covered a wide range of topics including:

— How big is the patient identification problem in healthcare?
— The continuing problem of duplicate medical records in healthcare and strategies to improve and sustain patient data integrity
— Describing the availability and measuring the success of existing patient identification solutions in healthcare 
— Would a national patient identifier help or would the existing challenges still apply?
— Why can’t the current solutions get to 100% patient matching?
— How does the CHIME $1 million National Patient ID Challenge work?Is this challenge achievable? 

What materialized was an excellent discussion on patient identification in healthcare with both Michael and Beth offering intelligent insight on the problems that exist, solutions built to address the problems, and what it truly means to achieve 100% patient ID accuracy. Take a moment to watch the blab session here:

Special thanks to John Lynn and Healthcare Scene for hosting the discussion! 

What are your top concerns surrounding the issue of achieving 100% patient matching in healthcare? Please share them with us in the comments below.

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AHIMA Survey on Patient Matching Illustrates HIM Burdens, Frustrations

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

AHIMA Sheds Light on Patient Matching Problems in Healthcare

The American Health Information Management Society (AHIMA) released details of a survey yesterday that revealed over half of Health Information Management (HIM) professionals still spend a significant amount of time reconciling duplicate medical records at their respective healthcare facilities. The survey went on to reveal some very interesting statistics on patient matching and linking patient records, illustrating the burden that duplicate medical records have not only on HIM staff, but the dangers care providers face who increasingly rely on access to accurate, holistic patient data to provide safe, quality care. One particular stat that jumped out at us was:

“…less than half (47 percent) of respondents state they have a quality assurance step in their registration or post registration process, and face a lack of resources to adequately correct duplicates.”

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A recent survey of HIM professionals by AHIMA illustrates the problems that duplicate medical records have on accurate patient matching in healthcare.

This is an area of particular concern due to the fact that our research has shown that many healthcare facilities spend tens, sometimes hundreds of thousands of dollars per year reconciling duplicate medical records but very few have technology in place to prevent duplicates in the future. It’s encouraging that accurate patient matching in healthcare seems to finally be getting the attention it deserves, due to the digitization of the industry, the shift change from fee-for-service to a value based payment system and a burgeoning healthcare ecosystem laser focused on improving both individual outcomes and population health. AHIMA’s survey supports this assertion by stating:

“Accurate patient matching “underpins and enables the success of all strategic initiatives in healthcare…”

Equally concerning is the fact that less than half of HIM professionals surveyed have any type of patient registration quality assurance policy in place and only slightly over half of survey respondents could accurately say what their duplicate medical rate actually is. Not to mention the fact that HIM professionals spend entirely too much of their time reconciling duplicate medical records, with 73% reporting that they work duplicates “at a minimum of weekly.” 

As more healthcare organizations and facilities begin to understand that accurate patient matching has a major impact on other downstream activities, it is encouraging that the issue is finally getting the attention it deserves helped in part by the efforts of AHIMA, and CHIME’s national patient identification challenge which is scheduled to kick off this month.  It’s clear that the healthcare industry is slowly coming to the realization that many new initiatives borne from the HiTech Act and Meaningful Use (e.g. – population health, ACOs, health information exchanges, interoperability) don’t really have any hope to succeed in the absence of accurate patient identification. 

Duplicate Reconciliation Unnecessary Burden on HIM?

Early last year, we wrote a blog post on How Accurate Patient Identification Impacts Health Information Management (HIM) which highlights the exorbitant amount of time HIM spends reconciling duplicates and the opportunity cost this brings. For example, time spent on duplicate clean up and reconciliation could instead be allocated to coding for reimbursement and preparing, indexing, and imaging all paper medical records – a critical component in the effort to capture and transfer as much health data as possible to a patient’s EHR.

The fact of the matter is that as health data integrity stewards and medical record gatekeepers, HIM professionals are better served spending their time ensuring proper and accurate reimbursement and medical record accuracy then reconciling duplicates which should have never been created in the first place. HIM staff perform one of if not the most critical functions in healthcare by ensuring health data integrity, especially in light of the increasing reliance of often disparate healthcare providers need to access a complete medical record that includes as much information as possible.

As we noted in the post last January:

“…many hospitals have expanded responsibilities vis-à-vis Meaningful Use, EHR implementation, and meeting Affordable Care Act requirements, and it has become disadvantageous to continue devoting any time at all to duplicate medical record and overlay reconciliation. Biometric patient identification solutions open the door to re-allocation of HIM FTEs to more critical functions such as coding, reimbursement, and reporting. Simply put, implementing biometrics during patient registration is opening the door for HIM departments across the industry to provide a larger and more productive support role to meet the shifting sands of reimbursement and address the need to move towards quality vs. quantity of care.”

Conclusion

We could not have summed up the issue of duplicate medical record creation and reconciliation and inaccurate patient matching in healthcare more succinctly than this quote from AHIMA in the survey summary:

“Reliable and accurate calculation of the duplicate rate is foundational to developing trusted data, reducing potential patient safety risks and measuring return on investments for strategic healthcare initiatives.” 

Trusted data. Isn’t this the backbone of the new healthcare paradigm? Certainly we can’t expect to achieve many of the purported advances in healthcare in the absence of clean, accurate health data. It’s time to eliminate duplicate medical records forever, and establish cohesive, quality assured patient matching in healthcare.

What are your biggest takeaways from the AHIMA report on accurate patient matching in healthcare?

Brad Marshall works for RightPatient - the industry's best biometric patient identification solution.Brad 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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Our Top Five Biometric Patient Identification Blog Posts of 2015

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2015 was an important year of growth and innovation for RightPatient®. We started this blog two years ago to help educate the healthcare community on the importance of establishing secure, accurate patient identification in healthcare and to establish a trusted resource to help understand how the use of biometrics for patient ID has proven to be an important tool to help increase patient safety, eliminate duplicate medical records, improve revenue cycle management, and prevent medical identity theft and fraud. 

biometric patient identification in healthcare

Read through some of our most popular blog posts on biometric patient identification in healthcare during 2015

Throughout our journey, we have shared many important posts demonstrating how our hospital partners have successfully implemented biometrics for patient identification and provided real life examples of the post deployment benefits realized. Among the dozens of posts the RightPatient® team posted during 2015, the following posts were the most popular:

  1. Uniting Accurate Patient Identification with Secure Single Sign-On (SSO) to Improve Data Integrity in Healthcare: In an effort to help continue increasing patient data integrity in healthcare, we announced a new partnership with Healthcast,  the #1 ranked single sign-on solution (KLAS, 2014) to increase patient safety and secure access to patient data. 
  2. RightPatient® Prevents Healthcare Fraud at University Health System: Healthcare fraud and medical identity theft are two rising concerns for healthcare organizations because they jeopardize patient safety, raise the cost of care, and could lead to non-reimbursable medical procedures. University Hospital in Augusta, GA recently was able to prevent healthcare fraud in their ER through the use of the RightPatient® with photo biometrics.
  3. Removing the Word “Scan” from Iris Recognition for Healthcare Biometrics: Fueled by Hollywood sensationalism, iris recognition biometric identification is often depicted as “scanning” a person’s eyes with visible light. The fact is, no visible light is used with iris recognition and instead of a “scan,” iris biometrics takes a high resolution digital photograph. 
  4. Identify Unconscious, Unknown Patients with Biometric Identification Technology: The difficulty to identify an unconscious or disoriented patient jeopardizes patient safety in healthcare. Biometric patient identification has emerged as a technology capable of identifying patients in these conditions, but did you know that not all biometric patient ID solutions have the ability to identify unconscious or disoriented patients? 
  5. Biometric Patient Identification Implementation Should Be Higher On The Priority List: Despite the fact that accurate patient identification affects so many downstream clinical and financial activities, hospitals and healthcare organizations are still not placing enough emphasis on evaluating implementation and use of this technology as a priority. 

We will continue to research and write educational and informational posts during 2016 about the rising use of biometrics for patient identification in healthcare including case studies and examples of how our technology is helping hospitals around the world to: eliminate duplicate medical records, prevent medical identity theft and fraud, increase patient data integrity, and improve patient safety. 2015 was a year of significant growth for RightPatient® as we continue working toward our mission to offer the most innovative and comprehensive patient identification solution that increases patient safety, reduces costs, improves the quality of care, and enhances the patient experience. 

Curious to know more about the use of biometric patient identification in healthcare? Is there a topic that you would like to learn more about? Drop us a message at: jtrader@rightpatient.com with your ideas and suggestions!

Thank you for being a part of our blog community!

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Why Experience Matters When Selecting a Biometric Patient Identification Solution

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The following post was submitted by Jeremy Floyd, Healthcare Director with RightPatient®

“The only source of knowledge is experience.” — Albert Einstein

Investing in health IT technology is a complex process which often involves evaluating multiple vendor solutions before ultimately deciding to make an investment. Steering committees and hospital evaluation teams take meticulous care to carefully assess the pros and cons of each solution to determine the best fit for their organization. One key vendor attribute that should be included in the evaluation process is experience. However, the reality of health IT today is that a large swath of health IT technologies are brand new, borne from the massive shift to digital healthcare spurred by the HITECH Act and Meaningful Use. Consequently, many vendors don’t have a substantial track record of experience in their speciality to evaluate because their solutions are brand new and only recently entered the market. 

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Evaluating experience is an important factor when deciding which biometric patient identification solution to implement.

I am often asked at trade shows and conventions about our experience in biometrics and how that shaped our strategy when we developed RightPatient® – the healthcare industry’s most comprehensive patient identification solution that increases patient safety, reduces costs, improves the quality of care, and enhances the patient experience. People want to know how our past experience and long track record in global biometric identification management projects helped shape our patient identification platform and what lessons we learned from other verticals where biometrics is used that we were able to incorporate into RightPatient®. My answer is always the same…experience in biometrics matters. A lot. Here’s why:

— Experience breeds innovation – When we embarked on the journey to develop a biometric patient identification solution for the healthcare industry, we carefully studied our past experience with biometric deployments in different verticals (border control, voter registration, law enforcement, workforce management, national ID, financial services, single sign-on) to determine what we could learn from their success that would be integral ingredients for RightPatient®. The ability and flexibility to innovate jumped out as one of the most important deployment characteristics we knew RightPatient® needed – in other words, the ability to innovate as a patient identification vendor by consistently improving our platform to addresses the dynamic, and constantly evolving needs of the industry. 

For example, we identified the growing concern from hospital staff about the need to develop a wireless camera to identify patients bedside, or in special situations (e.g. handicapped patients) – a device unencumbered by USB cables and free from the often crowded workstation on wheels (WOW). We listened to customer feedback, leveraged our technological expertise in biometrics, and developed a wireless camera with a sleek, modern design and touchscreen interface combined with fast photo capture and identification.

Innovation helps bring continuity to the fragmented healthcare market. It is the responsibility of any healthcare technology vendor to consistently cultivate new ideas that are a direct response to the evolving challenges healthcare systems face.  

— Experience brings variety – The ability to offer a choice of biometric hardware modalities for hospitals to use is another great example of how our experience in biometrics reminded us that this is not a “one-size-fits-all” technology. Offering a choice of biometric modalities to use for patient identification is important because although most biometric hardware devices work reliably on a large percentage of the population, factors such as skin integrity, age, and ethnicity can negatively affect the ability of these devices to capture biometric attributes for 100% of the patient population.

In addition, the use of a single biometric modality for patient identification in the modern healthcare age ignores the reality that effective patient ID must be looked at holistically, and technology implemented simply must have the ability to identify patients at ANY point along the care continuum – whether that is in person at a hospital or in a virtual environment such as a telemedicine or using a patient portal.  Instead of pigeonholing hospitals into using one modality, instead we offer a variety of modalities that can be used simultaneously to meet the new demands of accurate patient identification.

— Experience makes system integration seamless: 13 years of experience in biometrics has provided us with deep experience and expertise in system integration. Experience that taught us the importance of developing pre-built integrations of RightPatient® for various healthcare systems like Epic, Cerner®, Meditech, McKesson, and IBM Initiate® to becomes a seamless part of the provider workflow and maximize operational efficiency. Based on our track record developing biometric identification systems around the world, we understand that hospital IT staff is stretched thin with myriad responsibilities and commitments so we handle a majority of the pre-configuration and deployment logistics prior to go live that helps reduce the burden on hospital resources. Experience taught us that just like any other technology deployment, health systems who invest in biometrics for patient identification want a seamless experience that does not waste internal resources and a platform that instantly becomes a part of staff workflow.

Does experience matter when selecting a biometric patient identification vendor? Absolutely. Our dedicated team of scientific engineers and technologists deliver over 20 years of combined experience in healthcare, biometric technology, cloud applications, system integration, high-performance computing, and human factor engineering, ensuring that you will always be provided with innovative, scalable, and practical solutions that are the best possible fit for your needs.

Learn more about how we are leading the biometric patient identification market through creative innovation by visiting our Web site.

biometric patient identificationJeremy has worked in the biometrics industry for nearly a decade and has real world experience with fingerprint, palm vein, finger vein, iris and face recognition technologies. He currently oversees the RightPatient™ Healthcare division of M2SYS Technology, including sales, business development and project management. Before taking over the Healthcare unit, Jeremy spearheaded the growth of the core biometrics division, working closely with Fortune 500 clients like ADP, JP Morgan & BAE Systems to implement biometrics in large identity management projects.

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Why Epic EHR Seamless Integration is Important

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The EHR Battle Heats Up

When the HITECH Act was signed into law in 2009 creating financial incentives to promote and adopt health information technology, few people outside of the healthcare industry could probably grasp the importance and impact this law would have on vendors offering electronic health record (EHR) systems.  Back then, we as patients were excited at the prospect that healthcare was finally stepping out of the middle ages and into the modern era of record keeping, our minds popping with optimism about how dumping paper for electronics was going to revolutionize medicine and open new doors to improve both individual and population health. We never would or could have imagined the intense complexities of implementing these EHR systems and the heated rivalries they would create that seem to stifle progress and impede value. Akin perhaps to kids playing in a sandbox, the rivalries and intense competition between these vendors is increasing.

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RightPatient® seamlessly integrates into the Epic EHR system to maximize operational efficiency.

Over 85% of hospitals across the country have adopted some form of EHR to qualify for Meaningful Use however, many have switched EHR vendors citing insurmountable functionality difficulties, poor usability and design, and a lack of adequate training and support as some of the main reasons to make a change.

What we as healthcare consumers have learned throughout the EHR journey is that some EHR systems are skilled at handling certain functions, while others are not. Some EHR platforms support interoperability more than others. Certain EHR providers are well known for their outstanding support capabilities and some can be difficult to work with.

EHRs are not a single flavor, they all come with their strengths and weaknesses and each has developed their own “personality.”     

Our EHR Barometer

One important characteristic is the ability for our biometric patient identification solution to seamlessly integrate with an EHRso that it becomes a consistent and uninterrupted part of staff workflow. Our biometric patient ID platform seamlessly integrates with Epic’s EHR system to help ensure an efficient and accurate authentication process without having to toggle to a separate application that can cause workflow interruptions and lost productivity. Seamless integration of the RightPatient® biometric patient identification solution with the EPIC EHR system also helps save precious time during patient registration to improve the patient experience. 

In addition, the ability to capture a patient’s photograph during registration and then display that photo alongside the patient’s Epic EHR adds value to the identification process by providing fast two-factor authentication without having to leave the Epic platform. Patient registration staff and clinicians along the care continuum are immediately greeted with the patient’s photo once their Epic EHR is accessed for fast, accurate identification to prevent unnecessary medical errors.

The ability to seamlessly interface with Epic’s EHR platform is a distinct advantage for establishing accurate patient identification anywhere along the care continuum. By utilizing various biometric credentials, RightPatient® is built to offer accurate and secure patient identification no matter where an Epic patient attempts to access protected health information (PHI) or medical services, even in virtual environments. This is a key factor to ensure patients are safe, their PHI is safeguarded, and healthcare facilities are administering care or releasing information to the correct individual. 

Conclusion

RightPatient® has the unique ability to seamlessly interface with the Epic EHR system and provide staff the ability to perform accurate patient identification at any point along the care continuum without ever leaving the platform. Key to ensuring smooth and efficient workflow and to maximize operational efficiency, seamless integration of a biometric patient identification solution with Epic’s EHR system should be an important factor if you are considering an investment.

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RightPatient® Prevents Healthcare Fraud at University Health System

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Healthcare Fraud Jeopardizes Patient Safety and Raises the Cost of Care
Emergency Departments (ED) can be subjected to healthcare fraud from individuals without insurance seeking care, especially those with manageable chronic conditions. These patients often go to hospital EDs because they don’t have access to any source of care and in a large number of cases, attempt to defraud the healthcare system by providing different names, dates of birth, or other demographic information during registration.

Hospital patient access staff on alert for healthcare fraud often must strike a tricky balance of ensuring a patient receives timely care with the need to identify and prevent these individuals from illegally obtaining medical services that could raise liability and possibly harm the patient.

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Through the use of photo biometrics, the University Health System was able to catch a patient attempting to commit healthcare fraud in the ED.

Patients who may be trying to defraud the system can raise the cost of care for all of us with most of the cost to treat these individuals passed on to insurance providers that raise premiums to subsidize care provided to the uninsured. It’s a persistent problem in healthcare that jeopardizes patient safety.

Medical Identity Theft and Healthcare Fraud are Persistent Patient Safety Problems in Healthcare
The National Health Care Anti-Fraud Association (NHCAA) estimates that the financial losses due to health care fraud are in the tens of billions of dollars each year. The Ponemon Institute released a study earlier this year that reported a 21.7% increase in medical identity theft cases since the previous year’s study.

A costly and often complex and time consuming issue to resolve, healthcare fraud and medical identity theft often financially decimate victims and healthcare institutions and can have a ripple effect that negatively impacts provider reputation. Add to that evolving patient expectations that healthcare providers are taking the necessary steps to protect their identities and ensure the privacy of their protected health information (PHI), and it’s clear that this is a festering problem in the industry that deserves immediate and swift preventative action.

Implementing Biometric Patient Identification to Identify Potential Healthcare Fraud

When University Health System staff sat down to address the problem of healthcare fraud and began to assess patient authentication technology options that had the potential to prevent it, they decided to deploy RightPatient® biometric patient identification as part of an overall strategy to increase patient safety, eliminate duplicate medical records, and prevent medical identity theft and fraud throughout their network. Using photo biometrics as their preferred modality, University launched the RightPatient® patient identification system in the summer of 2015 at both hospitals in their network and began registering patients and linking their unique biometric credentials to a single electronic health record (EHR).

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Through the use of photo biometrics, the University Health System was able to catch a patient attempting to commit healthcare fraud in the ED.

Thusfar, the deployment has been a resounding success, with over 99% of patients opting in to ensure the safety and privacy of their PHI. University placed a great deal of emphasis to ensure their staff understood why the RightPatient® solution was implemented and meticulously trained patient access personnel on how to properly use the system prior to launch.

Their efforts paid off.

Recently, a patient was registered through the ED in the RightPatient® system, and then returned to the same ED days later claiming a different date of birth and a different last name. Following hospital registration protocol, the patient access representative took the patient’s photo with an iris camera and the RightPatient® system immediately flagged the patient’s medical record and instantly notified staff that the patient had previously enrolled with their biometric credentials already linked to another unique EHR. University staff then realized that the patient was attempting to assume another identity and took action to prevent it.

Even if this patient had enrolled in the RightPatient® biometric patient identification system at another location within University’s network, they still would have been flagged as a potential fraud case if they returned to a different facility due to the fact that RightPatient® seamlessly integrated with University’s Epic EHR system and can be used at any point along the care continuum, regardless of the patient’s physical location within the network (RightPatient® can even be used to authenticate an identity on patient portals and mHealth applications!).

Conclusion

The persistent and dangerous problem of medical identity theft and healthcare fraud is a direct threat to patient safety but also has repercussions that impact many other facets of care delivery. Implementing modern patient identification technologies that have the unique ability to prevent healthcare fraud should be a key goal for any medical facility set on improving safety, lowering liability, and raising the quality of care. The University Health System case clearly demonstrates that RightPatient® deters medical identity theft and healthcare fraud throughout the care continuum by linking a patient’s unique biometric credentials to one medical record.

Thank you to the staff at University for allowing us to share this story with our community!