Why CHIME’s NPID Challenge is Necessary for Healthcare’s Future | Rajiv Leventhal | Healthcare Blogs Skip to content Skip to navigation

Why CHIME’s NPID Challenge is Necessary for Healthcare’s Future

January 28, 2016
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In an important healthcare development last week, the College of Healthcare Information Management Executives (CHIME) announced a National Patient ID (NPID) Challenge, a $1 million crowdsourcing competition to incentivize the private sector to develop a universal patient identifying solution that links patients to their medical records.

Those foreign to healthcare might wonder why there is no solution already in place that would ensure greater accuracy in identifying patients in the U.S. beyond the current approach of using simple demographic data. The problem, though, is bigger than many realize; in an environmental scan in 2014, the Office of the National Coordinator for Health Information Technology (ONC) found that the best error rate for patient identification is around 7 percent.  In other words, seven out of 100 records are mismatched, while the actual error rate is likely closer to 10-20 percent, and it rises to 50 to 60 percent when entities exchange with each other, according to CHIME.

According to ONC’s 2014 report, for example, “Kaiser Permanente (which has 17 instances of Epic across its regions) reported a match rate of greater than 90 percent within each instance; that rate fell to around 50 percent to 60 percent when sharing between regions using a separate instance of Epic or with outside Epic partners.”  For some background, the ONC scan included a formal interview process with a diverse set of organizations representing four sectors of the healthcare industry, with a specific set of questions for large health systems and integrated delivery networks (IDNs); health information organizations (HIOs); electronic health record (EHR) vendors; and master data management (MDM)/master person index (MPI) and HIE vendors.

As ONC reported, healthcare organizations have made strides in improving patient identification and matching, but those solutions have not been universally adopted. For instance, providers vary greatly in how they format names and addresses. Also, the quality of the data entered into systems can be mixed. Additionally, CHIME data shows that hospitals differ in how they identify patients; more than 60 percent of CHIME members use some form of a unique patient identifier to match patient data within their organizations, while others rely on complicated algorithms. But, nearly 20 percent of CHIME members surveyed in 2012 could attribute at least one adverse medical event to incorrect patient matching.

Further complicating matters is that since 1999, the federal government has been prohibited from spending public funds on the development of a national patient identifier (NPI). When the Health Insurance Portability and Accountability Act (HIPAA) was signed into law in 1996, it originally required that all Americans be issued a unique patient identifier based on the obvious potential benefits they could bring to healthcare. However, after a 1998 federal hearing caused a public outcry due to invasion of privacy claims, Congress prohibited the use of federal dollars to create such a solution. Thus, the onus fell onto the private sector.

Now, CHIME is linking arms with HeroX, a crowdsourcing innovation platform, on the initiative to encourage innovators to help solve the complex problem of patient misidentification without requiring government regulation. In the spring, CHIME and HeroX will announce participants moving forward on to the Concept Blitz Round. Innovators will then develop and refine their ideas for the Final Innovation Round and CHIME will announce the $1 million winner in February 2017, according to HCI Assistant Editor Heather Landi’s report on the CHIME announcement last week.

As part of the CHIME/HeroX launching of the NPID challenge, the organizations explained why the need for an NPI is so crucial for better patient care:

Healthcare organizations spend a lot of time using and perfecting complicated algorithms that use a lot of different pieces of information to ensure that the John A. Smith standing in front of them is the same John A. Smith found in their system. Trying to delete duplicate errors and match records from one healthcare provider to another for every patient takes an inordinate amount of time that could be spent focusing on prevention and treatment, not matching records. Because it is still so difficult to get records from other providers, patients often have x-rays and other tests repeated, which in some cases is harmful to the patient, and at the very least wastes time and money.