Abstract: Evaluating future healthcare event risks of a patient includes receiving, at one or more computers, patient healthcare data for the patient, wherein the patient healthcare data represents a healthcare event and includes one or more healthcare codes, accessing, with the one or more computers, a database that associates the healthcare event and the healthcare codes with risks of potentially preventable healthcare events, and presenting, with the one or more computers, indications of the risks of potentially preventable healthcare events to a user to facilitate mitigation of the risks of potentially preventable healthcare events for the patient.

Abstract: A health management system includes a processor, a searchable multi-dimensional data representation of the performance of an entire health care delivery system accessible by the processor, in which the performance of every healthcare provider, including downstream providers, that are delivering services is distilled down to a clinically credible measure of actual versus expected performance at analytic points across a comprehensive set of quality outcomes and resource utilization measures wherein the performance matrix has multiple dimensions, and a memory device coupled to the processor and having a program stored thereon for execution by the processor to perform operations. The operations include creating the multi-dimensional data representation to obtain performance measures of a selected healthcare provider and accessing the multi-dimensional data representation to obtain performance measures of the selected healthcare provider.

Abstract: A health management system includes a processor, a searchable multi-dimensional data representation of the performance of an entire health care delivery system accessible by the processor, in which the performance of every healthcare provider, including downstream providers, that are delivering services is distilled down to a clinically credible measure of actual versus expected performance at analytic points across a comprehensive set of quality outcomes and resource utilization measures wherein the performance matrix has multiple dimensions, and a memory device coupled to the processor and having a program stored thereon for execution by the processor to perform operations. The operations include creating the multi-dimensional data representation to obtain performance measures of a selected healthcare provider and accessing the multi-dimensional data representation to obtain performance measures of the selected healthcare provider.

Abstract: Evaluating future healthcare event risks of a patient includes receiving, at one or more computers, patient healthcare data for the patient, wherein the patient healthcare data represents a healthcare event and includes one or more healthcare codes, accessing, with the one or more computers, a database that associates the healthcare event and the healthcare codes with risks of potentially preventable healthcare events, and presenting, with the one or more computers, indications of the risks of potentially preventable healthcare events to a user to facilitate mitigation of the risks of potentially preventable healthcare events for the patient.

Abstract: Evaluating future healthcare event risks of a patient includes accessing, with one or more computers, indications of risks of potentially preventable healthcare events associated with the patient, accessing, with the one or more computers, personal health information associated with the patient, adjusting, with the one or more computers, the risks of potentially preventable healthcare events associated with the patient, based on the personal health information associated with the patient, to produce adjusted risks of potentially preventable healthcare events, and presenting, with the one or more computers, indications of the adjusted risks of potentially preventable healthcare events to a user to facilitate mitigation of the risks of potentially preventable healthcare events for the patient

Abstract: In one embodiment, the invention is directed to a method of processing patient healthcare data, via one or more computers. In some examples, the method comprises receiving, at the one or more computers, patient healthcare data, wherein the patient healthcare data represents a healthcare event and includes one or more healthcare codes. The method may further comprise determining, by the one or more computers and based on the one or more healthcare codes, one or more patient factors associated with the healthcare event. The method may also comprise determining, by the one or more computers and based on the one or more healthcare codes and the one or more patient factors associated with the healthcare event, whether the healthcare event is a potentially preventable healthcare event, wherein the healthcare event comprises one of: an inpatient admission, an emergency room visit, and an outpatient ancillary service.

Abstract: In general the invention is directed to systems, methods, and/or software modules which may analyze a patient's drug history, and optionally other data, and derive a probable diagnosis for the patient based on rules.

Abstract: In one example, this disclosure describes a method determining a resource utilization value, via one or more computers. The method may comprise receive dated patient healthcare data comprising information about one or more of diagnosed conditions, delivered services or procedures, severity indicators, or resource utilization data associated with any delivered services or procedures. The method may further comprise receiving selection input comprising one or more resource type parameters. After receiving selection input, the method may further comprise determining a resource utilization value based at least in part on the patient healthcare data and the selection input.

Abstract: In general the invention is directed to systems, methods, and/or software modules which may analyze a patient's drug history, and optionally other data, and derive a probable diagnosis for the patient based on rules.

Abstract: A method of creating a classification system for rating the nature and severity of health care requirements, including obtaining a set of medical disease codes, categorizing the medical disease codes into major disease categories, and categorizing the medical disease codes in each major disease category into episode disease categories based on severity.

Abstract: In general the invention is directed to systems, methods, and/or software modules which may analyze a patient's drug history, and optionally other data, and derive a probable diagnosis for the patient based on rules.

Abstract: In general the invention is directed to systems, methods, and/or software modules which may analyze a patient's drug history, and optionally other data, and derive a probable diagnosis for the patient based on rules.