An automated personalised intervention algorithm for remote patient monitoring.
An automated personalised intervention algorithm was developed to determine when and if patients with chronic disease in a remote monitoring programme required intervention for management of their condition. The effectiveness of the algorithm has so far been evaluated on 29 patients. It was found to be particularly effective in monitoring newly diagnosed patients, patients requiring a change in medication as well as highlighting those that were not conforming to their medication. Our approach indicates that RPM used with the intervention algorithm and a clinical protocol can be effective in a primary care setting for targeting those patients that would most benefit from monitoring.
Fursse
Joanna
J
Brunel University, UK.
Clarke
Malcolm
M
Jones
Russell
R
Khemka
Sneh
S
Findlay
Genevieve
G
D000368:Aged; D000465:Algorithms; D002908:Chronic Disease / Q000628:therapy*; D015331:Cohort Studies; D003196:Computer Graphics; D003625:Data Collection / Q000379:methods; D020000:Decision Support Systems, Clinical; D003924:Diabetes Mellitus, Type 2 / Q000628:therapy; D005194:Family Practice; D005260:Female; D006333:Heart Failure / Q000628:therapy; D006801:Humans; D006973:Hypertension / Q000628:therapy; D008131:London; D008297:Male; D016347:Medical Records Systems, Computerized; D008991:Monitoring, Physiologic / Q000379:methods*; D019114:Remote Consultation / Q000379:methods*