Gain a better understanding of medical records and what types of information they contain.
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 for your institution. 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.
Learning Objectives:-
- You will be able to define what the medical record contains.
- You will be able to discuss how your organization depends on medical records.
- You will be able to identify problems caused by poor medical records.
- You will be able to recognize solutions for medical records data collection.
Agenda:-
- Medical Records: Who, What, Why?
- Medical Records From Each Stakeholder’s Perspective
- The Clinical Medical Record
- Everything But the Clinical
- Clinical Records: Who, When, Where, and How
- Clinicians and Their Elves
- Components and Data Sources
- Four Methods for Clinical Documentation
- Outcomes
- Clinical
- Financial
- Social and Other Determinants of Health
- Business and Medical Records
- Reputation
- Referrals
- Payments
- Sharing Medical Records
- Research
- Litigation
- Sharing
Who Should Attend?
This live webinar is designed for medical records directors, health information directors, coders, business managers, office managers, nurses, hospital administrators, billing managers, social workers, counselors, the release of records professionals, and compliance managers.
James Maisel
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