R. Bharat Rao - Berwyn PA, US Sathyakama Sandilya - Cranbury NJ, US Radu Stefan Niculescu - Pittsburgh PA, US Harm J. Scherpbier - Fort Washington PA, US Thomas R. Warrick - Wayne PA, US
Assignee:
Siemens Medical Solutions USA, Inc. - Malvern PA Siemens Corporation - Iselin NJ
International Classification:
G06F 19/00 G06Q 50/00
US Classification:
705 3, 705 2
Abstract:
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.
R. Bharat Rao - Berwyn PA, US Sathyakama Sandilya - Cranbury NJ, US Harm J. Scherpbier - Fort Washington PA, US Thomas R. Warrick - Wayne PA, US
Assignee:
Siemens Medical Solutions USA, Inc. - Malvern PA Siemens Corporation - Iselin NJ
International Classification:
G06Q 10/00 G06Q 50/00
US Classification:
705 2, 705 3
Abstract:
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.
R. Rao - Berwyn PA, US Sathyakama Sandilya - Cranbury NJ, US Christopher Amies - Walnut Creek CA, US Radu Niculescu - Pittsburgh PA, US Arun Goel - Colonia NJ, US Thomas Warrick - Wayne PA, US
International Classification:
G06F101/14
US Classification:
702/181000
Abstract:
The present invention provides a data mining framework for mining high-quality structured clinical information. The data mining framework includes a data miner that mines medical information from a computerized patient record (CPR) based on domain-specific knowledge contained in a knowledge base. The data miner includes components for extracting information from the CPR, combining all available evidence in a principled fashion over time, and drawing inferences from this combination process. The mined medical information is stored in a structured CPR which can be a data warehouse.
R. Bharat Rao - Berwyn PA, US Sathyakama Sandilya - London, GB Christopher Jude Amies - Pleasant Hill CA, US Radu Stefan Niculescu - Malvern PA, US Arun Kumar Goel - Colonia NJ, US Thomas R. Warrick - Wayne PA, US
Assignee:
Siemens Medical Solutions USA, Inc. - Malvern PA
International Classification:
G06Q 50/00
US Classification:
705 2
Abstract:
The present invention provides a data mining framework for mining high-quality structured clinical information. The data mining framework includes a data miner that mines medical information from a computerized patient record (CPR) based on domain-specific knowledge contained in a knowledge base. The data miner includes components for extracting information from the CPR, combining all available evidence in a principled fashion over time, and drawing inferences from this combination process. The mined medical information is stored in a structured CPR which can be a data warehouse.
- Malvern PA, US Arun Kumar Goel - Woodbridge NJ, US Radu Stefan Niculescu - Malvern PA, US Bharat R. Rao - Berwyn PA, US Sathyakama Sandilya - Londdon, GB Thomas R. Warrick - Wayne PA, US
International Classification:
G06F 19/00
US Classification:
705 3
Abstract:
The present invention provides a data mining framework for mining high-quality structured clinical information. The data mining framework includes a data miner that mines medical information from a computerized patient record (CPR) based on domain-specific knowledge contained in a knowledge base. The data miner includes components for extracting information from the CPR, combining all available evidence in a principled fashion over time, and drawing inferences from this combination process. The mined medical information is stored in a structured CPR which can be a data warehouse.
Siemens Medical Solutions since 1989
Sr. Director
Rabbit Software 1986 - 1989
VP Development
Metafile 1980 - 1986
V.P
Shared Medical Systems 1972 - 1980
Manager, Software Development
Education:
Penn State University 1970 - 1972
MS, Computer Science
Juniata College 1966 - 1970
BS, Math
Skills:
Healthcare Information Technology Strategic Planning Healthcare Project Management HL7 Informatics