Abstract: A computerized method for evaluating medical reports includes identifying at least one or more medical reports stored in a database related to the medical condition, validating the identified medical reports by determining if key words associated with the medical condition found in the at least one or more reports are surrounded by a negative context and extracting relevant data from the medical reports. The exemplary method also includes evaluating the relevant data from the medical reports with provisions set forth in clinical guidelines corresponding to a medical condition, storing a flag identifying one or more of the medical reports as noncompliant when its corresponding relevant data does not comply with the provisions set forth in the clinical guideline unless a valid contraindication applies and displaying the medical reports identified as noncompliant.
Type:
Application
Filed:
November 5, 2008
Publication date:
July 30, 2009
Applicant:
MedQuist Inc.
Inventors:
Sushmitha Regulapati, Vasudevan Jagannathan, Henry Ware
Abstract: Systems and methods are disclosed for transcribing private information. The method, includes receiving a first information segment during a first interview session, and receiving a second information segment during a second interview session, wherein the first information segment A includes private information and the second information segment includes only non-private information. The exemplary method also includes providing information in the first information segment to a first transcriber, providing information in the second information segment to a second transcriber, wherein the second transcriber has no communication with the first transcriber. The exemplary method further includes providing a combination of the information transcribed from the first and second information segments to a user or other recipient authorized to receive the private information.
Type:
Grant
Filed:
September 25, 2007
Date of Patent:
June 3, 2008
Assignee:
Medquist Inc.
Inventors:
Tad Alan Davis, Howard S. Hoffmann, Emmy Brock Weber, Mark Ivie, Dori Dunn, Vasudevan Jagannathan