Regenstrief Institute

An automated system developed by researchers from the Regenstrief Institute and Indiana University to help pediatricians focus on the specific health needs of each patient in the short time allotted for preventive care improves autism screening rates by identifying at-risk children at the 24-month visit. Nationwide children typically are not diagnosed with autism until age 4½ or 5 years. Read More »

The U.S. health care system is on the leading edge of many technologies - except when it comes to passing information between doctors, laboratories, and public health officials. And that could add another snarl to the already troubled effort to test for coronavirus. Overreliance on faxing, phones and paper records is problem enough in ordinary times. Adding thousands of coronavirus tests a day will test the ability of providers, labs, and public health officials to keep track of all the results. Because not all results are automatically downloaded into physicians' records, the doctors may need to log into laboratory web portals or, if all else fails, turn to faxes and phones to learn test results.

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A team from Regenstrief Institute leveraged OpenMRS, a global open-source electronic medical record (EMR), to create an emergency EMR for Indianapolis first responders preparing for a possible influx of COVID-19 patients. This process was completed in a week to allow Indianapolis Emergency Medical Services (IEMS) to register patients, collect basic clinical information, and send these encounters to Indiana's health information exchange, a crucial element to help the response to the COVID-19 pandemic...This work demonstrates that it is possible to leverage existing tools to create EMRs in emergency situations to improve crisis response. "We learned valuable lessons from this experience that can be applied to future emergencies. This system can be adapted to work in other states or even countries, and it can be done very quickly," said Burke Mamlin, M.D., a project leader and member of Regenstrief's Global Health Informatics program. "This shows the value of open source and how it can lead to global goods that can benefit us in the United States."

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The OpenHIE community will hold its second annual community meeting November 4-8, 2019 in Addis Ababa, Ethiopia. Between 200 and 300 individuals are expected to attend with the ultimate goal of development and efficient and effective operation of national and regional health information exchanges. OpenHIE, short for Open Health Information Exchange, is a global, mission-driven collective dedicated to improving the health of the underserved through open, collaborative development of implementation tools and to supporting country-driven, large-scale health information exchange. Read More »

Machine learning has come of age in public health reporting according to researchers from the Regenstrief Institute and Indiana University School of Informatics and Computing at Indiana University-Purdue University Indianapolis. They have found that existing algorithms and open source machine learning tools were as good as, or better than, human reviewers in detecting cancer cases using data from free-text pathology reports. The computerized approach was also faster and less resource intensive in comparison to human counterparts.

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