Analytics and Improvements Library

Healthcare Data Analyzation icon

Healthcare Data

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Learning Objectives

  • Recognize the basic structures of ICD, CPT, HCPCS, and NDC coding systems
  • Understand the purpose of SNOMED CT, LOINC, and RxMed
  • Describe how clinical terminology is used in healthcare data
  • Describe the basic structure and use of a DRG
  • Use DRGs to calculate a hospital’s CMI
  • Understand HCCs, DCCI, Elixhauser Comorbidity Index, LACE, and LACE+ Indices
  • Describe how risk models are used to analyze mortality and readmission rates
  • Recognize commonly used numerical prefixes
  • Identify the medical terms for the location of procedures or conditions
  • Describe positional, directional, and basic anatomy medical terms
  • Recall terms for conditions of the body and surgical procedures
  • Recognize common medical abbreviations

Course Description

Develop a basic understanding of the most common forms of data within healthcare, including terminologies, coding systems, groupers, and risk models. Effectively engage with available data and ultimately produce more meaningful insights for improvement.

3 modules | CLUs

Course at a Glance

target audience icon Target Learners:

Data Analysts

time to complete icon Average Completion Time:

20–30 minutes for each module

contributor icon Co-development Partner(s):

Health Catalyst

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