Siemens Medical Solutions Usa, Inc.

Siemens Corporation

Harm Jacob Scherpbier

R Bharat Rao

Sathyakama Sandilya

Thomas R Warrick

Radu Stefan Niculescu

Laura Koetter

The present invention provides systems and methods for automatically ensuring adherence to clinical guidelines during the course of patient treatments. A data source contains patient records, including records for patients being treated; a guidelines knowledge base contains clinical guidelines; and a quality adherence engine is configured to monitor adherence with the clinical guidelines for patients being treated. At least some of the patient records may include information obtained from mining unstructured patient data. The system includes an output component for outputting quality adherence information. The outputted quality adherence information may include reminders, including reminders to take clinical actions in accordance with the clinical guidelines. The outputted quality adherence information may also include warnings that the clinical guidelines have not been observed.

Patient data mining for quality adherence

A technique is provided for automatically generating performance measurement information. At least some of the obtained performance measurement information may be derived from unstructured data sources, such as free text physician notes, medical images, and waveforms. The performance measurement may be sent to a health care accreditation organization. The health care accreditation organization can use the performance measurement to evaluate a health care provider for its quality of patient care. Alternatively, performance measurement information can be provided directly to consumers.

Patient data mining for automated compliance

A system identifies multiple medical conditions, observations, and laboratory test results using active sensors and predetermined rules to identify infected patients. An infection control and workflow management system includes a repository of worker information identifying healthcare workers for performing infection control tasks as well as worker associated communication data for use in informing healthcare workers of infection control tasks to be performed. A detection processor automatically detects infection in patients from multiple different sources including from at least one of, (a) a medical record evaluated upon admission of a patient to a hospital and (b) a laboratory test result. A workflow processor uses the worker information for automatically communicating a message to inform a healthcare worker of a task to be performed to initiate infection control tasks using communication data in response to detection of an infected patient.

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Fort Washington, PA, United States of America

Harm Jacob Scherpbier