Methods, systems, and computer readable media for using machine learning in detecting drug diversion

According to one method for using machine learning in detecting drug diversion, the method comprises receiving, as input, an observed drug dispensation amount associated with a drug dispensation event related to a drug provider along with other drug dispensation event data, wherein the drug dispensa...

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Bibliographische Detailangaben
Hauptverfasser:	Frasure, III, Evan S, Schroeder, Rebecca Ann, Mathew, Joseph Puthenveetil, Neely, Nigel Benjamin, Dunn, Timothy William, Huang, Erich Senin
Format:	Patent
Sprache:	eng
Schlagworte:	BABY COMFORTERS CALCULATING COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS COMPUTING CONTAINERS SPECIALLY ADAPTED FOR MEDICAL OR PHARMACEUTICALPURPOSES COUNTING DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES DEVICES FOR ADMINISTERING FOOD OR MEDICINES ORALLY DEVICES FOR RECEIVING SPITTLE DEVICES OR METHODS SPECIALLY ADAPTED FOR BRINGINGPHARMACEUTICAL PRODUCTS INTO PARTICULAR PHYSICAL ORADMINISTERING FORMS HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA HUMAN NECESSITIES HYGIENE INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS MEDICAL OR VETERINARY SCIENCE PHYSICS SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:	According to one method for using machine learning in detecting drug diversion, the method comprises receiving, as input, an observed drug dispensation amount associated with a drug dispensation event related to a drug provider along with other drug dispensation event data, wherein the drug dispensation event data comprises drug provider information, procedure information, and patient information; generating, using a trained drug diversion detection algorithm and the drug dispensation event data, an expected drug dispensation amount associated with the drug dispensation event and determining, using the observed drug dispensation amount and the expected drug dispensation amount, whether the observed drug dispensation amount is aberrant, wherein the drug diversion detection algorithm includes at least one machine learning algorithm and is trained using one or more data sets associated with related drug dispensation events; and outputting, by the drug diversion detection algorithm, information indicating that the observed drug dispensation amount is aberrant.