A System Engineering Framework for Multi-Criteria Performance Evaluation of Healthcare Process and Systems

A System Engineering Framework for Multi-Criteria Performance Evaluation of Healthcare Process and Systems

Title : A System Engineering Framework for Multi-Criteria Performance Evaluation of Healthcare Process and Systems
Authors :
Katsipis, Iakovos
Baras, John, S.
Journal : White 2014 The 5th Annual Workshop on Health IT and Economics
October 11, 2014

Extended Abstract: Health expenditures for diabetes and its complications totals 376 billion dollar (USD) and is expected to exceed 490 USD billion by 2030. Developed world countries count for 80% and US for 52% of these total health expenditures. Type 2 diabetes is a chronic disease with long term complications as blindness, renal failure and increased risk for stroke and myocardial infraction. There are several studies related to prediction of diabetes type 2. Most famous models and widely used are the IRIC, QDScore, DESIR. All models seek to be aligned with age, BMI and waist circumference as variables, however, the performance of each model varies between countries, age, sex, and adiposity. One of the methods that have been used in the past to define the risks and performance of several treatments for diabetes type 2, is Markov chain models constructed for a heterogeneous subscriber population, and used to examine the long-run effects of particular utilization patterns on disease functioning.

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