Matching patient records from different sources is not only achievable but necessary to stem the tide of the current novel coronavirus pandemic, reports a new study.

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Public health experts working to stop the spread of the COVID-19 rely on information from clinics, hospitals, laboratories, and other sources that indicate whether, when, and where individuals have tested positive.
Unfortunately, the commentary notes, patient matching rates vary widely, with healthcare facilities failing to link records for the same patient as often as half the time. Authors Shaun Grannis, M.D., vice president for data and analytics at Regenstrief Institute and Regenstrief Professor of Medical Informatics at Indiana University School of Medicine; John D. Halamka, M.D., president of Mayo Clinic Platform and Ben Moscovitch, director of The Pew Charitable Trusts' health information technology initiative, call for stakeholders to urgently address the patient matching conundrum. Otherwise, the commentary says, efforts to curtail the current pandemic and future ones will be ill-advisedly delayed.
"...the sharing of more data and use of standards reflect near-term opportunities that government and health care organizations can implement to respond to the current pandemic and prepare for future ones. In the longer term, there may be other opportunities such as the use of biometrics, unique identifiers, or multi-factor authentication that could further enhance patient identification and matching, including for routine care. However, those options and the associated standards that underlie their success while worthwhile to examine, cannot be designed, deployed, and implemented in a near-term manner that could help mitigate the effects of this pandemic," the commentary states.
Source-Eurekalert
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