Abstract: A computer-implemented method includes: receiving a request to perform an audit on data describing a medical safety event; obtaining an initial audit record based on the request; parsing the initial audit record to identify a structure of the initial audit record; identifying, from the structure, one or more fields that describe one or more properties of the medical safety event; identifying a mutation object based on the one or more fields, with the mutation object describing an initial content of the data; determining a first change of the data from the initial content to a first updated content; updating the mutation object to describe the first updated content; obtaining a first updated audit record based on the first updated content of the data; storing the mutation object describing the first updated content; and storing the initial audit record and the first updated audit record.

Abstract: A computer-implemented method includes: receiving a request to perform an audit on data describing a medical safety event; obtaining an initial audit record based on the request; parsing the initial audit record to identify a structure of the initial audit record; identifying, from the structure, one or more fields that describe one or more properties of the medical safety event; identifying a mutation object based on the one or more fields, with the mutation object describing an initial content of the data; determining a first change of the data from the initial content to a first updated content; updating the mutation object to describe the first updated content; obtaining a first updated audit record based on the first updated content of the data; storing the mutation object describing the first updated content; and storing the initial audit record and the first updated audit record.

Abstract: A computer-implemented method includes receiving, by a data processing system, event data representing a medical safety event. The method includes processing the event data, including: parsing, the event data to identify a structure of the event data; and identifying one or more fields from the structure of the event data. The method includes inputting, to a machine learning engine, contents of the one or more fields. The method includes generating, by the machine learning engine and from contents of the one or more fields, one or more feature vectors. The method includes accessing a plurality of indicator candidates. The method includes determining, by the machine learning engine and based on the one or more feature vectors, one or more indicators from the indicator candidates. The method includes tagging the event data with the one or more indicators. The method includes storing the tagged event data in a hardware storage device.