Systems and methods for electronic health records

A method of generating a clinically supplemented risk score by an electronic health record system having one or more processors, the method comprising:

• collecting, via at least one of the one or more processors, data from a plurality of electronic health records of a patient;
• parsing, via at least one of the one or more processors, the data into defined fields to generate parsed data;
• determining a closed risk score in response to a documented diagnostic condition of the patient in the plurality of electronic health records;
• comparing, via at least one of the one or more processors, the parsed data to at least one look-up table to generate an inferred diagnostic condition;
• comparing, via at least one of the one or more processors, the inferred diagnostic condition to the documented diagnostic condition of the patient in the plurality of electronic health records, thereby determining the documented diagnostic condition is not associated with the inferred diagnostic condition;
• mapping, via at least one of the one or more processors, the inferred diagnostic condition to at least one condition category to generate at least one mapped inferred diagnostic condition;
• refining, via at least one of the one or more processors, the at least one mapped inferred diagnostic condition into a hierarchy to generate a hierarchal mapped conditioned category;
• determining an open risk score in response to the hierarchal mapped condition category of the at least one mapped inferred diagnostic condition;
• and
• determining, via at least one of the one or more processors, a risk score in response to open risk score and the closed risk score, the risk score representing an expected total cost of care for the patient relative to the average per-patient cost of care over an entire population.