Evaluation of a clinical decision support rule-set for medication adjustments in mHealth-based heart failure management

Stud Health Technol Inform. 2015:212:81-7.

Abstract

Decision-support based medication adjustment in heart failure management. Prospective analysis of clinical decision support in fifteen patients that collected vital parameters and medication intake up to one year within a clinical trial. Correlation of event episodes and medication adjustments with respect to applied rule-sets and medication classes. 713 events were grouped to 195 event episodes. Physicians performed 86 medication adjustments. 30 of them were triggered by event episodes. 35% of all performed medication adjustments occurred between event episodes. 20% of all episodes triggered a medication adjustment. 15% of all episodes triggered the expected medication adjustment. Correlation between episodes and medication adjustment was low. Further analysis needs to be done, to evaluate reasons for low correlation and how the rule-set should be adapted to increase reliability.

MeSH terms

  • Algorithms*
  • Austria
  • Decision Support Systems, Clinical / statistics & numerical data*
  • Drug Therapy, Computer-Assisted / statistics & numerical data*
  • Heart Failure / diagnosis
  • Heart Failure / drug therapy*
  • Humans
  • Medication Systems / statistics & numerical data
  • Telemedicine / statistics & numerical data*
  • Treatment Outcome