Diagnostic system and method for assessing risk of adverse medical events for enabling reduction of unplanned healthcare and/or mortality

A system for assessing a risk of adverse medical events leading to unplanned healthcare and/or death, and for facilitating mitigation of the adverse medical events, the system comprising at least one processor configured to:

• obtain existing healthcare data from at least one data source, wherein the existing healthcare data comprises existing accident and emergency data, existing inpatient data, and existing outpatient data;
• build a predictive model for estimating individual patients'risks for adverse medical events leading to unplanned healthcare and/or death, using the existing healthcare data and a pre-defined set of medical conditions and pre-defined patient characteristics that are likely to lead to the adverse medical events;
• deploy the predictive model for use;
• obtain first healthcare data from the at least one data source, wherein the first healthcare data comprises first accident and emergency data, first inpatient data, and first outpatient data, the first healthcare data being generated later in time than the existing healthcare data;
• process the first healthcare data using the predictive model, to predict a risk level of at least one adverse medical event leading to unplanned healthcare and/or death, for each patient amongst a plurality of patients indicated in the first healthcare data;
• identify a target set of patients, wherein each patient belonging to the target set is one whose risk level of the at least one adverse medical event is greater than a first threshold risk level of the at least one adverse medical event;
• send a communication indicative of the target set of patients to the at least one data source and/or at least one first device associated with at least one healthcare professional, for enabling determination of at least one healthcare intervention, wherein the at least one healthcare intervention, when provided to said patient, facilitates in at least partially mitigating the at least one adverse medical event which in turn reduces mortality of said patient.

A method for assessing a risk of adverse medical events leading to unplanned healthcare and/or death, and for facilitating mitigation of the adverse medical events, the method comprising:

• obtaining existing healthcare data from at least one data source, wherein the existing healthcare data comprises existing accident and emergency data, existing inpatient data, and existing outpatient data;
• building a predictive model for estimating individual patients'risks for adverse medical events leading to unplanned healthcare and/or death, using the existing healthcare data and a pre-defined set of medical conditions and pre-defined patient characteristics that are likely to lead to the adverse medical events;
• deploying the predictive model for use;
• obtaining first healthcare data from the at least one data source, wherein the first healthcare data comprises first accident and emergency data, first inpatient data, and first outpatient data, the first healthcare data being generated later in time than the existing healthcare data;
• processing the first healthcare data using the predictive model, for predicting a risk level of at least one adverse medical event leading to unplanned healthcare and/or death, for each patient amongst a plurality of patients indicated in the first healthcare data;
• identifying a target set of patients, wherein each patient belonging to the target set is one whose risk level of the at least one adverse medical event is greater than a threshold risk level of the at least one adverse medical event;
• and
• sending a communication indicative of the target set of patients to the at least one data source and/or at least one first device associated with at least one healthcare professional, for enabling determination of at least one healthcare intervention, wherein the at least one healthcare intervention, when provided to said patient, facilitates in at least partially mitigating the at least one adverse medical event which in turn reduces mortality of said patient.