COMPUTERIZED SYSTEM AND METHOD FOR IDENTIFYING MEMBERS AT HIGH RISK OF FALLS AND FRACTURES

Systems and methods for automated interventions to persons identified as being of risk of falling are provided. A subset of members is identified which are associated with at least one of a plurality of falls predictors. At least one falls prediction algorithm is applied to a subset of said medical...

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Bibliographic Details
Main Authors Singh, Harpreet, Gopal, Vipin
Format Patent
LanguageEnglish
Published 16.03.2023
Subjects
HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA
INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS
PHYSICS
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Summary:Systems and methods for automated interventions to persons identified as being of risk of falling are provided. A subset of members is identified which are associated with at least one of a plurality of falls predictors. At least one falls prediction algorithm is applied to a subset of said medical claims data associated with the subset of members to generate a falls risk score for each of member of the subset. At least one intervention is assigned to each of member of the subset having an assigned risk score above any of several predetermined risk score thresholds which are automatically and electronically initiated based, at least in part, on member data.
Bibliography:Application Number: US202217951718