• Hudson Valley Workforce Academy

    • Feb 24, 2015, 5:00 pm - 7:00 pm
    • RPW Group, Inc.
    • 1133 Westchester Avenue
    • Lobby Board Room
    • White Plains, NY 10604
  • Boost Your Skills!

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    Here's your chance to brush up on Big Data and Healthcare Analytics! The Hudson Valley Workforce Academy is offering courses to prepare you for the rapidly changing workplace. The first course -- Healthcare Analytics -- will focus on the rich clinical and business sources of ‘Big Data’ available in the healthcare industry. Students 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 t
    aught by various faculty and industry experts over a 5-week period at the WCA’s headquarters in White Plains, New York,
    beginning Feb. 24, 2015.

    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 course will be convened at WCA headquarters, 1133 Westchester Ave, White Plains, NY. The fee is $595 per participant for this 5-week session.

    Venue Sponsor: RPW Group, Inc.



    HV Workforce Academy

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

    2/24 - 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. 

    3/4 - 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. 

    3/11 - 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 accnt. & decision support & Data Mining tools and expectations. 

    3/18 - 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 

    3/24 - 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.