Automated Patient Code Recognition Software


Co-morbidities affect patients healing, survival, and length of hospitalization. Knowledge and documentation of co-morbidities is important information for a patient's health team. Proper documentation of comorbidities is important for hospital coding in analyzing service intensity weight. This project seeks to provide an automated search of the electronic health record and pull co-morbidities from laboratory values, vital signs monitoring, radiography reports, and other electronic records (such as medication lists) and list them on a co-morbidity sheet for review and signature by the attending physician.


Researchers at Stony Brook University have developed a novel software program which tracks admitted patients and pushes charted data to an attending physician enabling the identification of certain symptoms or co-morbidities that may have gone overlooked during diagnosis or billing procedures. This software is currently being beta-tested and implemented at Stony Brook University?s Medical Center.


- Tracking of undiagnosed afflictions that exist separate from the primary diagnoses  - Live update of EHR patient records and databases - Fully integrated with Hospital IT systems - Increased and more accurate CMI of hospitals


- Health Care Management Software - Diagnostics - Emergency Medicine - Electronic Health Records

Patent Status

Patent application submitted

Stage Of Development

Software has been developed and is being used by the Stony Brook University Hospital. Utility Patent Filed, Publication No. US 2014-0067424

Licensing Potential


Licensing Status

Exclusive License - All Fields.

Additional Info Please note, header image is purely illustrative. Source: George Hodan, PublicDomainPictures, CC0.
Patent Information:
Case ID: R8377
For Information, Contact:
Valery Matthys
Licensing Associate
State University of New York at Stony Brook
Mark Henry
IV Ramakrishnan