Automated Identification and Documentation of Co-Morbidities from Patient's Electronic Health Record
A software program which tracks admitted patients and pushes charted data to physicians, enabling the identification of co-morbidities. Background: 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. Technology Overview: 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 Universityâ€™s Medical Center. #### Stage of Development Software has been developed and is being used by the Stony Brook University Hospital. Advantages: - 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 Applications: Health Care Management Software
Electronic Health Records Intellectual Property Summary: Patent application submitted Stage of Development: Utility Patent Filed, Publication No. US 2014-0067424 Licensing Potential: Licensing Licensing Status: Exclusive License - All Fields. #8377 Additional Information: software,comorbidities,hospital,electronic health record,health record,it system,comorbidity,patient care,patient clinical management,patient management,patient monitoring systems,patient notes,hospital data,medical record,clinical data,clinical data analytics,clinical decision support,clinical software,medical data,medical data management,medical database,medical software,diagnostic software https://stonybrook.technologypublisher.com/files/sites/fqe0q3khtly0espjcmpz_dog-14619118713gu.jpg Please note, header image is purely illustrative. Source: George Hodan, PublicDomainPictures, CC0.