Past, present, and future of decision support technology
Decision Support Systems - Special issue: Decision support systems: Directions for the next decade
Machine Learning for Data Mining in Medicine
AIMDM '99 Proceedings of the Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making
Magic Medicine Cabinet: A Situated Portal for Consumer Healthcare
HUC '99 Proceedings of the 1st international symposium on Handheld and Ubiquitous Computing
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Of pill boxes and piano benches: "home-made" methods for managing medication
CSCW '06 Proceedings of the 2006 20th anniversary conference on Computer supported cooperative work
A framework for supporting emergency messages in wireless patient monitoring
Decision Support Systems
Enabling ubiquitous patient monitoring: Model, decision protocols, opportunities and challenges
Decision Support Systems
Pervasive Healthcare Computing: EMR/EHR, Wireless and Health Monitoring
Pervasive Healthcare Computing: EMR/EHR, Wireless and Health Monitoring
Design and natural science research on information technology
Decision Support Systems
Design science in information systems research
MIS Quarterly
Improving the science of healthcare delivery and informatics using modeling approaches
Decision Support Systems
Towards design principles for pharmacist-patient health information systems
DESRIST'13 Proceedings of the 8th international conference on Design Science at the Intersection of Physical and Virtual Design
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To keep healthcare costs under control, a high-level of medication adherence, or compliance with medication regimen, must be achieved. The multifaceted nature of medication adherence, due to a large number of underlying factors, presents several critical challenges including how to evaluate the current level of adherence, how to improve and how to maintain the required level of medication adherence, especially for long-term chronic conditions. Several interventions to improve adherence have been proposed in the healthcare literature, however these are complex, costly and difficult to implement. It is also not clear which ones would be effective at what levels of adherence in what conditions and types of patients. Therefore, there is a need to model, evaluate and compare the interventions individually as well as in combinations for their impact on medication adherence. To address this, the design and evaluation of smart medication management system (SMMS) for improving medication adherence are presented in this paper. We also present an analytical model for evaluating the medication adherence using multiple interventions that are supported from SMMS, namely context-aware reminders, improved scheduling of medications, and support from healthcare professionals. The performance results show that very high medication adherence is achievable by SMMS for single and multiple medications even for patients with mild cognitive deficiency. Several powerful ''composite'' interventions are also proposed and evaluated for medication adherence. It is also shown that the total healthcare savings are significant even for slightly improved medication adherence. With higher hospitalization cost, the savings due to improved medication adherence become even more significant. The proposed work forms the basis to design personalized interventions to patients for improving medication adherence in different surroundings.