System and Method Associated with Determining Physician Attribution Related to In-Patient Care Using Prediction-Based Analysis

A system associated with determining physician attribution related to in-patient care based at least on prediction of attribution values associated with patient-physician attribution is disclosed. The system extracts clinical data associated with a patient from a first database, with the extracted c...

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Bibliographic Details
Main Authors Healy, Erin J, Ganjigunte Ashok, Vikas, Griffin, Todd R, Ramakrishnan, I.V
Format Patent
LanguageEnglish
Published 16.05.2019
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Summary:A system associated with determining physician attribution related to in-patient care based at least on prediction of attribution values associated with patient-physician attribution is disclosed. The system extracts clinical data associated with a patient from a first database, with the extracted clinical data comprising clinical information related to the patient and the clinical information including vector values indicative of clinical progress of the patient at various stages of treatment. The system stores the extracted clinical data in a second database and determines attribution values using the attribution manager with the attribution values being based on a predictive analysis using predetermined weights associated with the vector values. A training data set is generated based on learned weight values associated with the clinical progress of the patient. The system iteratively updates the vector values of the patient at least using a predictive analysis associated with the training data set. The updated vector values of the patient and the learned weight values are processed in order to cross-validate expert clinical information associated with a patient. At least one patient-physician attribution value is generated based on cross-validation of the expert clinical information and predictive analysis associated with the training data set. A corresponding method and computer readable medium are also disclosed.
Bibliography:Application Number: US201916244314