Markov Decision Processes: Discrete Stochastic Dynamic Programming
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Business Dynamics
Algorithms for sequential decision-making
Algorithms for sequential decision-making
Outcomes-Adjusted Reimbursement in a Health-Care Delivery System
Management Science
How to build a WebFountain: An architecture for very large-scale text analytics
IBM Systems Journal
Human-centered design of a distributed knowledge management system
Journal of Biomedical Informatics - Special issue: Human-centered computing in health information systems. Part 1: Analysis and design
Using qualitative studies to improve the usability of an EMR
Journal of Biomedical Informatics - Special issue: Human-centered computing in health information systems. Part 1: Analysis and design
Applications of Voting Theory to Information Mashups
ICSC '08 Proceedings of the 2008 IEEE International Conference on Semantic Computing
Behavior-driven visualization recommendation
Proceedings of the 14th international conference on Intelligent user interfaces
Handbook of Statistical Analysis and Data Mining Applications
Handbook of Statistical Analysis and Data Mining Applications
MONGOOSE: MONitoring Global Online Opinions via Semantic Extraction
CLOUD '09 Proceedings of the 2009 IEEE International Conference on Cloud Computing
ABLE: a toolkit for building multiagent autonomic systems
IBM Systems Journal
Localized Supervised Metric Learning on Temporal Physiological Data
ICPR '10 Proceedings of the 2010 20th International Conference on Pattern Recognition
A System for Mining Temporal Physiological Data Streams for Advanced Prognostic Decision Support
ICDM '10 Proceedings of the 2010 IEEE International Conference on Data Mining
Large visualizations for system monitoring of complex, heterogeneous systems
INTERACT'05 Proceedings of the 2005 IFIP TC13 international conference on Human-Computer Interaction
Proceedings of the Winter Simulation Conference
Meaningful use of patient-centric health records for healthcare transformation
IBM Journal of Research and Development
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Rising costs, decreasing quality of care, diminishing productivity, and increasing complexity have all contributed to the present state of the healthcare industry. The interactions between payers (e.g., insurance companies and health plans) and providers (e.g., hospitals and laboratories) are growing and are becoming more complicated. The constant upsurge in and enhanced complexity of diagnostic and treatment information has made the clinical decision-making process more difficult. Medical transaction charges are greater than ever. Population-specific financial requirements are increasing the economic burden on the entire system. Medical insurance and identity theft frauds are on the rise. The current lack of comparative cost analytics hampers systematic efficiency. Redundant and unnecessary interventions add to medical expenditures that add no value. Contemporary payment models are antithetic to outcome-driven medicine. The rate of medical errors and mistakes is high. Slow inefficient processes and the lack of best practice support for care delivery do not create productive settings. Information technology has an important role to play in approaching these problems. This paper describes IBM Research's approach to helping address these issues, i.e., the evidence-based healthcare platform.