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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.”

Accurate-patient-matching-in-healthcare-through-reconciling-duplicate-medical-records

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

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biometric patient identification systems should offer multiple modalities
Why We Offer a Choice of Hardware Modalities for Biometric Patient ID

Understanding the value of using a biometric patient identification solution that offers a choice of multiple biometric modalities is key to a better understanding of how this technology can truly increase patient safety in healthcare.

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

On many occasions throughout the course of conversations with different hospitals and healthcare systems, the question of which biometric modality to deploy for a biometric patient identification management project always surfaces. After all, choosing which biometric hardware modality to deploy is a critical factor for patient acceptance and efficient system performance – metrics that have a significant impact on the success and return on investment (ROI) of the initiative. More often than not when our customers and community get an in depth look at the variety of biometric hardware modalities we offer compared to other alternatives, they are curious about why we would support multiple devices instead of just one, and what the pros and cons are of each. The answer uncovers an important, but not frequently discussed attribute of biometric patient identification solutions that hospitals and healthcare organizations should be aware of.

Experience in Biometrics and Health System Integration Matters

The origins of RightPatient®’s biometric matching technology trace back 13 years through the experience and global track record of managing both small and large scale biometric identification management projects in many different industries by our parent company M2SYS Technology. As a proven innovator and expert in biometric matching technology, our experience has taught us that the success of these initiatives is largely dependent on ensuring that the biometric modality used matches the unique needs of our end users, offers the flexibility to change or add a modality in the future, has the ability to be customized prior to launch, and is easily scaled up as the deployment grows. 

Experience in managing biometric identification management projects has also taught us the importance of using human factor engineering as part of our system design process based on understanding what makes a task easy for hospital staff and what makes it hard in order to ultimately develop biometric tools that would support healthcare organization goals.  Deployments became more about identifying solutions that would cut down on “human error” and providing biometric hardware and software systems that fit employee need and workflow and less about deploying a solution that used the most popular and well known technology and relied on traditional conventions.

Ergonomics have become more influential in biometric patient ID system design, and training curriculum was refined to reflect the sources of expert performance, and how hospital staff acquire expertise in working with biometric identity systems. And perhaps most importantly, biometric deployments based on human factor engineering are designed to make systems more resilient in the face of shifting demands.   

Hardware diversity, patient identification mobility, and back end databases that use certain biometric matching types are the only way that hospitals will be able to reach pre-deployment defined goals of eliminating duplicate medical records/overlays, preventing medical ID theft/fraud, and increasing patient safety. The biometric hardware chosen for a deployment has a direct effect on achieving these goals which is why it becomes a critical decision in the overall project scope.

The Problem of “Locking In” to One Biometric Modality System Platform

Biometric vendors who only offer a choice of deploying one biometric modality system for a patient ID initiative are hamstrung by the limitations of the device manufacturer. In other words, they “lock” you into using one biometric modality system that inhibits the ability to expand a deployment to meet the new realities of identifying patients in healthcare – biometric patient ID systems must now be able to offer patient identification at new touchpoints along the care continuum (e.g. – smart mobile devices, patient portals, and telehealth) and not just accurate ID at the point of service. Biometric patient ID systems that rely on one biometric modality can’t offer this flexibility because they can’t identify patients in these scenarios and often times, hospitals who deploy these solutions must either make another investment in a system that does have this capability, or risk not addressing how to offer accurate patient identification for the aforementioned new patient touchpoints – a risk that could have extremely negative repercussions should a patient be mis-identified or a clinician misses key patient health data missing from their medical record.

Deploying a biometric patient authentication system that offers a variety of modalities is the only way a hospital can meet the increasing complications of ensuring accurate identification along the care continuum at new touchpoints, using voice or facial recognition biometrics for smart mobile devices as an example. Absent of this flexibility, hospitals and healthcare organizations are running the risk of non-authorized individuals accessing sensitive personal health information (PHI), or medical information not being attributed to the proper records which is a direct threat to patient safety and an extreme liability.

The ability to establish and maintain patient data integrity is also called into question when locking into a single biometric modality system. The holy grail of patient data integrity is to achieve 100% accuracy, cleanse a master patient index (MPI) of any duplicate medical records/overlays, and then have the ability to maintain that level of integrity as the database grows. Since single biometric modality systems do not have the ability to address accurate patient identification at all touchpoints along the care continuum, hospitals and healthcare organizations run the risk that a care event will either be administered to the incorrect patient, or medical data could be accessed and stolen by an unauthorized individual. Deploying multiple biometric modalities such as facial and voice recognition to address accurate patient ID at ALL touchpoints is the only way that true patient data integrity can be established and maintained. 

Conclusion

As the biometric identification management industry continues it’s rapid pace of evolution and expansion parallel to the evolution and expansion of new patient touchpoints to access medical data and services, hospitals and healthcare organizations should be thinking of deploying a solution that leverages multiple modalities that can accurately identify patients no matter where they are. The only way to accomplish this is the use of a biometric patient ID solution that offers a choice of modalities and a high degree of flexibility for deployment to address various patient touchpoints along the care continuum.

Don’t fall into the trap that a one biometric modality system will be sufficient to ensure accurate patient ID and a high level of patient data integrity across the care continuum. Learn more about how a choice of biometric hardware modalities for patient identification in healthcare is a smarter investment that will truly help hospitals and healthcare organizations achieve the goals that measure the success of the initiative.

Partnering with a vendor that has deep experience in biometric identification management technology, a strong track record of healthcare system integration experience, and a history of innovation is the only way to achieve the results you expect.

What patient ID challenges have you experienced that were solved by the use of multiple biometric modalities? Please share your comments below.

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