Information technology for healthcare transformation

• DOI: 10.1147/jrd.2011.2160684
• Publication Date: 2012-02-02T15:11:38Z
• Authors: J. P. Bigus; M. Campbell; B. Carmeli; M. Cefkin; H. Chang; C.-H. Chen-Ritzo; W. F. Cody; S. Ebadollahi; A. Evfimievski; A. Farkash; S. Glissmann; D. Gotz; T. W. A. Grandison; D. Gruhl; P. J. Haas; M. J. H. Hsiao; P.-Y. S. Hsueh; J. Hu; J. M. Jasinski; J. H. Kaufman; C. A. Kieliszewski; M. S. Kohn; S. E. Knoop; P. P. Maglio; R. L. Mak; H. Nelken; C. Neti; H. Neuvirth; Y. Pan; Y. Peres; S. Ramakrishnan; M. Rosen-Zvi; S. Renly; P. Selinger; A. Shabo; R. K. Sorrentino; J. Sun; T. Syeda-Mahmood; W.-C. Tan; Y. Y. Y. Tao; R. Yaesoubi; X. Zhu
• Keywords: Population Ageing

Rising costs, decreasing quality of care, diminishing productivity, and increasing complexity have all contributed to the present state healthcare industry. The interactions between payers (e.g., insurance companies health plans) providers hospitals laboratories) are growing becoming more complicated. constant upsurge in enhanced diagnostic treatment information has made clinical decision-making process difficult. Medical transaction charges greater than ever. Population-specific financial requirements economic burden on entire system. identity theft frauds rise. current lack comparative cost analytics hampers systematic efficiency. Redundant unnecessary interventions add medical expenditures that no value. Contemporary payment models antithetic outcome-driven medicine. rate errors mistakes is high. Slow inefficient processes best practice support for care delivery do not create productive settings. Information technology an important role play approaching these problems. This paper describes IBM Research's approach helping address issues, i.e., evidence-based platform.