Jeffrey Hertzberg

About Jeffrey Hertzberg

Physician-informaticist Jeffrey Hertzberg, M.D, M.S. brings deep understanding and experience to health outcomes research, clinical workflow analysis and the data generated by clinical processes, medical devices, administrative systems, and electronic health records. He harnesses these data to make inferences about the health of individuals and populations with categorical algorithms, statistical methodologies, and machine learning. As a board-certified physician in general internal medicine, he carried a full caseload of clinic, hospital and nursing home patients before completing an NIH/National Library of Medicine research fellowship in medical informatics. Dr. Hertzberg has built informatics infrastructure that led to acquisition for seven of his consulting clients. Since 1994 he has led teams developing medical decision support and population health management systems based on traditional statistics, machine learning algorithms, neural network models, and natural language processing. He has provided clinical informatics leadership for rapidly emerging machine learning and artificial intelligence assets, building disease models for atrial fibrillation, coronary artery disease, hyperlipidemia, opioid use disorder, and other cost-driving clinical conditions, including a heart failure severity progression model that is now patent pending. Dr. Hertzberg earned his medical degree at New York University, and an MS degree in health informatics at the University of Minnesota, where he also served as adjunct faculty. He completed residency training in internal medicine at the University of Minnesota Hospital and Clinic. A frequent author on topics related to the medical computer sciences, he has lectured at Harvard Medical School, the University of Minnesota, the Mayo Clinic, and the Kellogg Graduate School of Management, among others.

Experience

1. Consultant and Medical Director

   Nox Health

   Mar 2010 — Present · Atlanta, GA, US

   Provide physician-informatics perspective on the company\'s integration of multiple sources of health care data into a unified, secure data warehouse. Supplementing and confirming administrative data with health risk assessment (HRA) and key performance indicator (KPI) data Audit clients\' care management, disease management, and wellness providers through analysis of available digital data and in-depth on-site evaluation and interview Support sales team and users, distilling complex medical science and literature into useful information for prospects and data warehousing and analysis clients

Education

• National Library of Medicine/National Institutes of Health--NIH

  Postdoctoral Fellowship, Health Informatics

• University of Minnesota

  MS, Health Informatics

• University of Minnesota Medical School

  University of Minnesota Hospital and Clinic, Internal Medicine Residency Program

• New York University

  MD, Medicine

• University of Pennsylvania

  Bachelor of Science (BS), Psychology

Skills

• Medicine
• Case Management
• Hipaa
• Disease Management
• Ehr
• Medicare
• Healthcare Information Technology
• Healthcare Industry
• Electronic Medical Record (Emr)
• Internal Medicine
• Leadership
• Data Analysis
• Emr
• Health Insurance
• Managed Care
• Healthcare Consulting
• Quality Improvement
• Clinical Decision Support
• Hospitals
• Healthcare Management
• Case Managment
• Physicians
• Consulting
• Medicaid
• Management
• Health Policy