• Healthcare Analytics Course

    • Jun 29, 2016, 5:00 PM - 7:00 PM
    • WCA Headquarters
    • 1133 Westchester Avenue
    • Lobby Boardroom
    • White Plains, New York 10604
  • Hudson Valley Workforce Academy Fall Course

  • Here's your chance to brush up on Big Data and Healthcare Analytics! Back by popular demand, The Hudson Valley Workforce Academy is offering its previously sold-out course--Healthcare Analytics. This course focuses on the rich clinical and business sources of ‘Big Data’ available in the healthcare industry. Participants will learn the value of using data to make informed business decisions in the areas of operations management, planning, and strategic initiatives.

    The course is designed for healthcare managers with little-to-no experience with analytics, and will be taught by various faculty and industry experts over a 5-week period at 1133 Westchester Avenue in White Plains, running Wednesdays June 29, 2016 through July 27, 2016.

    Classes will explore specific topics such as the difficulties of managing and building data environments; the use of value-added classification systems; and the queries upon which decision support, epidemiology, and research capabilities are built.  The fee is $595 per participant for this 5-week session.


    Course Schedule: All classes will be held from 5:00 - 7:00 PM

    6/29 - Period 1: Introduction: A Changing Health Care Business

    Introduction to the course; objectives, scope delimitations and process Health Care Data Evolution; medical/billing records, regulatory and commercial sources, Coding and classification methods, research & disease registries Ethics, Privacy & Security; Research Methods.

    7/6 - Period 2: Sources and Structure of ‘Big’ Health Care Data

    Broadest Sources and Types of Data: Silos, Enterprise, Regional & External Systems architecture/infrastructure, communications and security (HIPAA) Project Management and Data Science (descriptive, predictive & prescriptive) Dealing with Data: Growth of Big Data, data quality, precision & accuracy Demonstrations: SPARCS Data Resource and simple Visual Studio Query.

    7/13 - Period 3: Database Management and Data Mining Fundamentals

    Database environments & systems architecture (virtual, relational & silos), structured & unstructured content, Coding/Classification Methods & the value in segmentation (ICD, CPT, CCS, DRG, etc.; significance) Data Enhancements recognizing processes of care, cost accounting. & decision support & Data Mining tools and expectations.

    7/20 - Period 4: Applications in Health Analytics

    Operational, Regulatory, Business, Clinical Support and Financial Performance Applying Science to the Art of Medicine; Outcomes of Care & Quality Metrics Population Health; The Value Proposition, Risk Management & Integration Transition from Episodes to Care to Longitudinal Records (Epidemiology) The Social and Business Imperative; Quality, Safety & Transparency Accountability and Responsibility for the Population

    7/27 - Period 5: Data Science: Descriptive Models; Predictive Modeling & Forecasting

    Traditional Population Based models (epidemiology) Data Quality, Statistics & Probability Distributions (Inference) Time series forecasting, Pattern Recognition, GIS software/Visualization, and Simulation Modeling techniques; Complementary data sets.