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Application of Sequence Alignment Algorithms in Location Tracking Data to Determine Patient State in a Clinical Process
Mark Meyer, MD MPH
Harvard-MIT Division of Health Sciences and Technology Location tracking systems are becoming more widespread in healthcare, but novel applications using the wealth of data produced are still sparse. Utilizing a sequence alignment algorithm, we have demonstrated their application in healthcare with location tracking data to determine the type of patient based on predefined templates and the current stage of a patient in a clinical process. Future work will further refine the sequence alignment algorithm for use with location tracking data and clinical systems.
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