Related Experiment Video
Updated: Mar 7, 2026

The Participant-Reported Implementation Update and Score PRIUS: A Novel Method for Capturing Implementation-Related Data Over Time
Published on: February 19, 2021
Informatics Metrics and Measures for a Smart Public Health Systems Approach: Information Science Perspective
Timothy Jay Carney1, Christopher Michael Shea2
1The Gillings School of Global Public Health, The University of North Carolina at Chapel Hill, 1101-C McGavran-Greenberg Bldg., CB 7411, Chapel Hill, NC 27599-7411, USA.
Public health informatics needs common measures for "smartness." This study introduces organizational complexity, problem complexity, and situational awareness as key drivers, proposing seven essential measures for professionals.
Area of Science:
- Public Health Informatics
- Health Systems Science
Background:
- Public health informatics practices evolve with complex healthcare systems.
- Emerging concepts include learning health systems, smart health systems, and adaptive complex health systems.
Purpose of the Study:
- To establish a common set of measures and capabilities for assessing health system "smartness."
- To identify key drivers of smart public health systems characteristics.
Main Methods:
- Introduced organizational complexity, problem/issue complexity, and situational awareness as codependent drivers.
- Proposed seven measures and capabilities for smart public health systems.
Main Results:
- Organizational complexity, problem/issue complexity, and situational awareness are identified as crucial drivers.
- Seven distinct measures and capabilities for public health informatics professionals are proposed.
Conclusions:
- The proposed measures and capabilities provide a framework for modeling, measuring, and managing health system smartness.
- These tools are vital for public health informatics professionals navigating complex systems.
More Related Videos
Related Concept Videos
Health Information Technology and Healthcare Information System
Health Information Technology, commonly called HIT, integrates advanced information systems and technology in healthcare settings. Its primary functions include:
Statistical Methods for Analyzing Epidemiological Data
Principles of Disease Surveillance
Healthcare Associated Infections II: Preventive Measures
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
Steps in Outbreak Investigation
Statistical Software for Data Analysis and Clinical Trials

