Measuring Workload Demand of Informatics Systems with the Clinical Case Demand Index

M. Sriram Iyengar, Deevakar Rogith, Jose F. Florez-Arango

Research output: Contribution to journalArticlepeer-review

3 Scopus citations

Abstract

Introduction: The increasing use of Health Information Technology (HIT) can add substantially to workload on clinical providers. Current methods for assessing workload do not take into account the nature of clinical cases and the use of HIT tools while solving them. Methods: The Clinical Case Demand Index (CCDI), consisting of a summary score and visual representation, was developed to meet this need. Consistency with current perceived workload measures was evaluated in a Randomized Control Trial of a mobile health system. Results: CCDI is significantly correlated with existing workload measures and inversely related to provider performance. Discussion: CCDI combines subjective and objective characteristics of clinical cases along with cognitive and clinical dimensions. Applications include evaluation of HIT tools, clinician scheduling, medical education. Conclusion: CCDI supports comparative effectiveness research of HIT tools. In addition, CCDI could have numerous applications including training, clinical trials, design of clinical workflows, and others.

Original languageEnglish (US)
Pages (from-to)985-993
Number of pages9
JournalAMIA ... Annual Symposium proceedings. AMIA Symposium
Volume2017
StatePublished - 2017
Externally publishedYes

ASJC Scopus subject areas

  • Medicine(all)

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