Indianapolis
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Emergency Open Source EMR Created In A Week To Respond To Covid-19 Crisis
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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Open Source Machine Learning Tools are as Good as Humans' in Cancer Surveillance According to Regenstrief, Indiana Univ. Study
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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