Gap in care determination using a generic repository for healthcare

A system for determination of a gap in care, the system comprising:

• at least one memory configured to store clinical data for a patient in a first format;
• and
• a processor configured to;
• mine the clinical data of the patient for values of attributes of a concept in care of the patient, wherein the mining comprises parsing unstructured text with natural language processing;
• identify an error source in the clinical data, wherein the error source is a data set of the clinical data or an error value in the data set of the clinical data;
• perform the mining without including the error source;
• convert a human readable medical rule of a quality measure about the care into a machine executable language for a semantically normalized data repository;
• and
• evaluate the semantically normalized data repository of the care for the patient with the rule in the machine executable language, wherein the evaluation comprises:
• identifying a cohort associated with the human readable medical rule, the patient being a member of the cohort;
• and
• determining a gap in the care of the patient for the quality measure with the human readable medical rule, wherein the gap comprises conflicting or non-determinative information in semantically normalized data repository of the care for that patient;
• outputting information for the gap wherein outputting comprises outputting an intervention or a task for the gap;
• and
• requesting documentation relating to the intervention or the task to resolve the gap.

A non-transitory computer readable storage medium having stored therein data representing instructions executable by a programmed processor for determination of a gap in care, the storage medium comprising instructions for:

• mining a data source associated with a patient for values of attributes of a concept in care for the patient, wherein the mining comprises parsing unstructured text with natural language processing;
• identifying an error source, wherein the error source is a data set of the data source or an error value in the data set of the data source;
• performing the mining without including the error source;
• converting, by a processor, a human readable medical rule of a quality measure about the care into a machine executable language for a semantically normalized data repository;
• and
• evaluating the semantically normalized data repository of the care for the patient with the rule in the machine executable language, wherein evaluating comprises:
• identifying a cohort associated with the human readable medical rule, the patient being a member of the cohort;
• determining a gap in the care of the patient for the quality measure with the human readable medical rule, wherein the gap comprises conflicting or non-determinative information in semantically normalized data repository of the care for that patient;
• outputting information for the gap wherein outputting comprises outputting an intervention or a task for the gap;
• and
• requesting documentation relating to the intervention or the task to resolve the gap.