Implementing autonomy in a diabetes management system.
We have developed a speech-based telemedicine system which enables patients with hypertension and type 2 diabetes mellitus to send frequent, home-monitored health data via the telephone to the point of care. The decision support module in the system was tested using data from a cohort of 10 patients generated over a two-year period. Results from the tests indicate that the system is effective in providing personalized feedback to the patient and in generating alerts for the clinical user. The work suggests that this method of care delivery is practical, informative, and may improve the efficiency of chronic health-care delivery by reducing costs and improving patient-physician communication between hospital visits.
Black
Lesley-Ann
LA
Faculty of Engineering, University of Ulster, Jordanstown, UK. la.black@ulster.ac.uk
McMeel
Conor
C
McTear
Michael
M
Black
Norman
N
Harper
Roy
R
Lemon
Michelle
M
D002908:Chronic Disease; D015331:Cohort Studies; D003142:Communication; D003924:Diabetes Mellitus, Type 2 / Q000628:therapy*; D003925:Diabetic Angiopathies / Q000628:therapy; D005246:Feedback; D006801:Humans; D006973:Hypertension / Q000628:therapy*; D010817:Physician-Patient Relations; D019114:Remote Consultation / Q000295:instrumentation / Q000379:methods*