Demystifying Patient Matching Algorithms

Last week at Health Datapalooza 2017, Adam Culbertson (HIMSS Innovator in Residence at ONC) and I gave a five minute “coming attraction” presentation about a patient matching algorithm challenge ONC will launch in June. For the uninitiated, we use “patient matching” in health IT as shorthand to describe the techniques used to match the data about you held by one health care provider with the data about you held by another (or many others). In practice, patient matching is the process of comparing different demographic elements from different health information technology (health IT) systems to determine if they refer to the same patient.

From an interoperability perspective, the ability to complete patient matching efficiently, accurately, and at scale has long been identified as a key element of the nation’s health IT infrastructure. Patient matching is almost universally needed to enable the interoperability of health data for all kinds of purposes. Patient matching also requires careful consideration with respect to its effect on patient safety and administrative costs.

While numerous recommendations have been issued over the years to tackle different aspects of patient matching, it is important to recognize that the entire health care system can impact its performance – from data capture at patient registration to the technology and algorithms along the way. At the same time, there has been little transparency about how well current patient matching algorithms perform and no industry-accepted minimum baseline(s), benchmark(s) or testing approach(es) exist.

To promote the need for better transparency about the performance of patient matching algorithms, ONC is launching the Patient Matching Algorithm Challenge. We expect the result of this challenge will spur the development of innovative new algorithms, benchmark current performance, and help industry coalesce around common metrics for success.

Up to six cash prizes will be awarded with a total purse of up to $75,000. The major prize category will involve three prizes for the highest “F-Score,” which is the combination of best precision and recall. Additional “best in category” prizes will be awarded for “best precision” (least mismatched patients), “best recall” (least missed matches) and “best first F-Score run.” Participants in the Challenge will get up to 100 tries to score their matching solution.

Prior to the Challenge’s launch in June, ONC will be holding repeat informational webinars on three Wednesday’s in May (May 10th, 17th, and 24th).  Visit the Challenge site for more information including dates for informational webinars.

Interested in this challenge? Sign-up for challenge updates and alerts regarding upcoming webinars, registration details, and data set availability!

3 Comments

  1. Kathy Kenyon says:

    Patient matching between EHRs in different health care organizations (or even different EHRs in the same large organizations) is essential for patient safety. Incorrect patient matching is an all too frequent cause of medication and diagnostic errors and of malpractice claims. Therefore, organizational commitment to patient safety should drive improved patient matching as an end in itself. But one would hope that reducing those errors could also finance implementation of effective patient matching algorithms. As Steve notes, reliable patient matching and patient identification will always rely upon human processes to be successful. The ONC SAFER Guide on Patient Identification, https://www.healthit.gov/safer/guide/sg006, as well as effective risk management processes in high reliability organizations (see resources at The Joint Commission) will always, of necessity, be needed to create a safe context for patient matching algorithms. I hope anyone who participates in this challenge is explicit about that in the instructions for use.

  2. ONC Seeks Help Measuring Interoperability Progress (InfoRiskToday) | says:

    […] its proposed interoperability measurement framework, ONC announced that in June in will launch a “patient matching algorithm challenge” that will award six cash prizes totaling $75,000. The algorithms would be designed to make sure the […]

  3. ONC launches $75,000 patient matching algorithm challenge | New England Health Care says:

    […] Office of Standards and Technology director Steven Posnack wrote on the Health IT Buzz blog that the Patient Matching Algorithm Challenge is designed to yield innovative algorithms, common […]

Leave a ReplyComment Policy


*