Learn how to lead your organization towards a positive, reinforcing feedback loop by focusing on the medical record.
Hospitals, ambulatory surgery centers and physician groups struggle with generation of medical records causing burnout. The records are not serving the clinical care or communication needs of the patient or care teams, are insufficient for optimal coding and reimbursement and are poorly suited for individual or population management. Also, lack of a Universal Patient Identifier and diverse records often contain incomplete, erroneous or expired information complicating sharing and using records. The lack of data standards and a coherent, mandated and widely adopted interoperability infrastructure increases costs or even prohibits organizations from benefitting from other siloed records. When the standards and interoperability finally emerge, we will be faced with a deluge of data that will have to be reconciled. Complicating matters are long sales and implementation practices and the need to integrate solutions from multiple vendors. Learn how solving medical record issues can have tremendous beneficial effects on physician burnout and productivity, improve the quality of care, optimize reimbursement, and make patients happy. Discover how to implement changes quickly and easily that will minimize your risks and maximize rewards. Prepare, participate in and benefit from advances in information technology. Proactively manage populations for preventative medicine, use predictive analytics and target conditions. Learn how to lead your organization towards a positive, reinforcing feedback loop leveraging your current infrastructure by focusing on the medical record.
Agenda
Faculty
James Maisel, M.D.
ZyDoc Medical Transcription, Retina Group of NY
- CEO and founder of ZyDoc Medical Transcription, Retina Group of NY
- Medical records, transcription, practice management, speech recognition, cloud platforms, security, EHRs, interoperability, diabetes, retina, pharma
- Numerous industry presentations in medical informatics, speech recognition, NLP, and standards
- Sold a prototype EHR to DOD, 1994; licensed medical language models to Dragon NaturallySpeaking Medical, 2000; introduced NLP data extraction from unstructured text, 2010; published NIH-Columbia Sponsored Landmark EHR Usability Study with NLP data, 2016; and #2 industry ranking in medical transcription, 2020, with #6 cloud platform
- Former chair HOST prior to HIMSS merger, Congressional Recognition Award, co-chair World Diabetic Congress, JDRF Humanitarian Year, Gift of Sight and Anton Banko awards
- M.D. New York Medical College
- Vitreoretinal Surgical Fellowship at NY Presbyterian-Cornell Medical Center
- CEWIT incubator, Stony Brook, NY
- Can be contacted at 800-546-5633 or [email protected]
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