Abstract: A computer implemented method includes obtaining access to a database containing patient healthcare data that includes multiple performance measures, analyzing the healthcare data to identify sets of patients sharing one or more of the identifications, analyzing the identified sets of patients to identify a group from one of the identified sets, the group including patients having a primary performance measure worse than a performance benchmark associated with the diagnosis category and severity of illness level of the one of the identified sets, analyzing secondary performance measures of the identified group to identify secondary performance measures correlated to the primary performance measure being worse than the performance benchmark, and analyzing the healthcare data to identify associated details of patient care in the group corresponding to the primary performance measure being worse than the performance benchmark.

Abstract: This disclosure describes systems, devices, and techniques for automatically identifying missing or ambiguous information in documentation associated with a patient. For example, a system may include one or more computing devices configured to receive documentation comprising a plurality of documented items related to the patient and determine, based on at least a subset of the plurality of documented items, one or more undocumented items missing from the documentation, wherein the subset of the plurality of documented items and at least one of the one or more undocumented items define a medical concept. The one or more computing devices may also be configured to generate, based on the one or more undocumented items, a code representative of the one or more undocumented items and output the code.

Abstract: This disclosure describes systems, devices, and techniques for automatically identifying missing or ambiguous information in documentation associated with a patient. For example, a system may include one or more computing devices configured to receive documentation comprising a plurality of documented items related to the patient and determine, based on at least a subset of the plurality of documented items, one or more undocumented items missing from the documentation, wherein the subset of the plurality of documented items and at least one of the one or more undocumented items define a medical concept. The one or more computing devices may also be configured to generate, based on the one or more undocumented items, a code representative of the one or more undocumented items and output the code.

Abstract: In general, systems and techniques for managing and updating medical information are described. In one example, a computer-implemented method for managing medical information is described. The method includes receiving current diagnostic information that includes one or more current individual diagnoses for a patient, comparing the current diagnostic information to prior diagnostic information that includes one or more prior individual diagnoses for the patient, determining one or more possible errors in the current diagnostic information based on the comparison, and generating an alert associated with each possible error of the one or more possible errors.

Abstract: This disclosure describes systems, devices, and techniques for determining discrepancies in medical information. In one example, a computer-implemented method includes receiving clinical documentation related to a patient encounter, receiving one or more selected codes associated with the patient encounter, and determining, by the computing device, one or more suggested codes associated with the patient encounter and based on clinical documentation. The method may also include determining one or more discrepancies between the one or more selected codes and the one or more suggested codes, responsive to determining the one or more discrepancies, generating, based on the one or more discrepancies, a query that indicates the one or more discrepancies and solicits user input resolving the one or more discrepancies, and outputting the query for display.

Abstract: This disclosure describes systems, devices, and techniques for updating medical documentation associated with a patient. In one example, a computerized system for managing medical documentation associated with a patient may include one or more computing devices configured to receive user input responsive to a query presented via a user interface, wherein the user input addresses one or more undocumented items related to the query and determined from a plurality of documented items related to the patient. Responsive to receiving the user input, the one or more computing devices may be configured to generate updated information indicative of the user input and related to the patient, generate indicia indicative of the user input, and output, for display, the indicia.

Abstract: This disclosure describes systems, devices, and techniques for managing medical documentation associated with a patient. In one example, a computerized system for managing medical information associated with a patient may include one or more computing devices configured to identify one or more potential medical problems with the patient from encounter-related information associated with the patient, generate a list comprising the one or more potential medical problems, and output, for display, the list. The one or more computing devices may also be configured to receive an indication of selection input from a user and associated with at least one of the potential medical problems and update the list of potential medical problems according to the indication of the selection input.

Abstract: This disclosure describes systems, devices, and techniques for automatically identifying missing or ambiguous information in documentation associated with a patient. In one example, a computerized system for updating medical documentation may include one or more computing devices configured to receive a code representative of one or more undocumented items determined from a plurality of documented items related to the patient. The one or more computing devices may be configured to generate, based on the code, query that solicits user input addressing the one or more undocumented items and output, for display, the query.

Abstract: This disclosure describes systems, devices, and techniques for automatically identifying missing or ambiguous information in documentation associated with a patient. For example, a system may include one or more computing devices configured to receive documentation comprising a plurality of documented items related to the patient and determine, based on at least a subset of the plurality of documented items, one or more undocumented items missing from the documentation, wherein the subset of the plurality of documented items and at least one of the one or more undocumented items define a medical concept. The one or more computing devices may also be configured to generate, based on the one or more undocumented items, a code representative of the one or more undocumented items and output the code.