| | MAY 202219UTLOOKHealthcare Tech cardiovascular problems and diabetes management. Using this data, the models `learned' the patterns of optimal medical care. The current version of DocLinks continuously feeds data into the models at the time of each patient encounter, and the models then respond with clinical recommendations based on the experience with this large training set. If the physician agrees with the DocLinks AI recommendations, then the provider can adjust medications, order lab tests or order diagnostic procedures--often with a single click.Avoiding Errors of OmissionIt is well known that `errors of omission' are among the most common errors in medicine. In essence, a physician does not take an action because a problem is not recognized. An example could be a patient that is seen at the office for a sprained ankle. The provider appropriately splints and treats the ankle, but the provider fails to see that the patient's lab tests done two months previously showed a dangerously high blood sugar. Not seeing this critical lab data, the provider fails to make an important adjustment of diabetic medications. DocLinks AI helps avoid these errors of omission by providing additional surveillance of the patient's data. In the example above, DocLinks would detect the abnormal lab results and suggest an adjustment of the patient's diabetic medications. In doing so, it would bring the patient's diabetic problem to the attention of the provider.DocLinks continuously improves the capabilities of its intelligent EMR by monitoring the quality of its AI algorithms. The company's rigorous testing ensures that the EMR's algorithms are up to date and functioning precisely at all times. In this regard, it takes patient data over a period of the previous six months, including the physician's decisions, and compares it with the treatment suggestions made by its AI models. Owing to such measures, the treatment suggestions made by DocLinks AI are continually refined. Testing shows that the models yield between 92 percent and 98 percent accuracy, precisely matching or improving upon the treatment decisions taken by doctors.The accuracy of DocLinks EMR's treatment suggestions can be exemplified by a recent retrospective study which showed that the DocLinks AI treatment suggestions were concordant with a provider's treatment plans more than 92 percent of the time. There were 2,200 encounters where the DocLinks AI treatment plan differed from what the provider actually ordered. When reviewed manually, it was found that in most of these encounters the discrepancy was due to the provider failing to take an appropriate action (error of omission), when the DocLinks AI system would usually detect the issue and make an appropriate recommendation.Driving Healthcare toward the FutureDocLinks EMR's ability to take into consideration all relevant information and generate precise treatment suggestions is empowering doctors to take the most effective treatment route for their patients and drive better patient outcomes. The company aims to take these factors a notch higher by expanding the EMR's data reach in the coming months. At the same time, it will focus on drawing data from a larger pool of hospitals and patients and use it to study successful treatments across the world and make those suggestions available to every physician leveraging DocLinks.
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