Electronic health records are the lynchpin of the artificial intelligence system, according to both Reis and Sege. Abuse victims often seek medical treatment at different locations for each injury to avoid detection. Each hospital or doctor keeps separate patient records but often fail to share those records. Keeping one, consolidated electronic record of a patient activity would enable the software to detect abuse. The record doesn't even have to be particularly detailed, says Reis. The CHB doctors used only the most basic patient data, "the lowest common denominator," as Reis calls it, to diagnose abuse in patients. Using better data should only increase the program's success at abuse detection. Better data could also allow the program to diagnose a variety of diseases more accurately as well. Ultimately, Reis and his colleagues want to expand their software to consider every human disease, a project he likens to the Human Genome Project, a multinational, $3 billion effort to sequence the entire human genome. To support their research Reis was recently granted a four-year, $1.3 million grant to expand their research. "We want to do a fundamental analysis of the entire human 'disease-some' -- if there is such a word -- to check the predictability of all diseases," said Reis. It will take years to finish a complete analysis of all diseases. Even when a project is done, and an artificial intelligence system capable of diagnosing a host of diseases is created, doctors don't need to worry about losing their jobs. "We are here to empower doctors," said Reis, "not replace them." Related Links: |
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