Clinical Informatics

What you will be able to do

• Explain what clinical informatics is and how it bridges clinical practice, information, and technology.
• Observe and map a clinical workflow and propose changes that reduce burden without losing safety.
• Describe how clinical documentation is structured and why documentation burden and note bloat matter.
• Apply the Five Rights of clinical decision support and explain how to manage alert fatigue.
• Use clinical quality measures, registries, and QI methods to turn data into improvement.
• Plan safe adoption: testing, go-live support, governance, and change management.

What is inside

6 modules, 12 lessons. Each module ends in a graded quiz.

1. 01

   Foundations of Clinical Informatics

   An introduction to clinical informatics as a bridge discipline connecting clinical practice, information science, and information technology. This module defines the field, maps the people who work in it, and frames healthcare technology as a sociotechnical system in which people, process, and technology must be designed together.

   2 lessons · 5 quiz questions

2. 02

   Clinical Workflow and Process Analysis

   Clinical systems succeed or fail on whether they fit the real work of care. This module teaches you to observe and map how clinicians actually work, then to design and measure workflow changes that reduce burden instead of adding to it.

   2 lessons · 5 quiz questions

3. 03

   Clinical Documentation and the Record

   This module examines how clinicians create the clinical record, weighing structured data against narrative text, and then confronts the quality and burden problems that modern documentation introduces. Learners will understand how documentation choices shape care, reuse, and record integrity.

   2 lessons · 5 quiz questions

4. 04

   Clinical Decision Support

   Clinical decision support (CDS) delivers the right knowledge to the right people at the right moments in care. This module covers what CDS is, the Five Rights framework, the main CDS types, and how to govern CDS so it helps rather than overwhelms clinicians.

   2 lessons · 5 quiz questions

5. 05

   Data, Measurement and Quality Improvement

   How clinical data becomes trustworthy measures of care, and how informatics teams turn those measures into real improvement. Covers quality measures and eCQMs, registries, dashboards, numerator and denominator logic, data quality, improvement methods such as Plan-Do-Study-Act, and the cautions that come with reusing clinical data.

   2 lessons · 5 quiz questions

6. 06

   Safety, Change and Adoption

   Clinical systems can both reduce and introduce patient harm, so informaticists must test, validate, and monitor them with the same rigor applied to any clinical intervention. This module examines technology-induced error and the leadership practices that turn a technical go-live into lasting, well-governed adoption.

   2 lessons · 5 quiz questions