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Engineering a Learning Healthcare System A Look at the Future: Workshop Summary (2011) / Chapter Skim
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Appendix A: Workshop Agenda
Pages 285-290

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From page 285...
... 2. Increasing complexity in health care is likely to accentuate current problems unless reform efforts go beyond financing to foster significant changes in the culture, practice, and delivery of health care.
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From page 286...
... 9:45 SESSion 1: Engaging compLEx SyStEmS tHrougH EnginEEring concEptS How do the various engineering disciplines (e.g., systems engineering, industrial engineering, operations research, human factors engineering, financial engineering, risk analysis) engage system complexity, and how might this perspective inform and improve health care?
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From page 287...
... Diagnostic and treatment technologies ÿ Rita F Redberg, Uniersity of California, San Francisco Clinical data systems and clinical decision support ÿ Michael D
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From page 288...
... Rouse, Georgia Institute of Technology and Planning Committee Chair (NAE) 8:15 SESSion 4: FoStEring SyStEmS cHangE to drivE continuouS LEarning in HEaLtH carE The IOM Learning Healthcare System workshop publication identified several common characteristics of a learning healthcare organization, including culture that emphasizes transparency and learning through continuous feedback loops, care as a seamless team process, best practices that are embedded in system design, information systems that reliably deliver evidence and capture results, and results that are bundled to improve the level of practice and the state of the science.
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From page 289...
... Classen, Computer Sciences Corporation Panel discussion to follow [10:00–10:30 Break] 10:30 BrEakout SESSion: Capturing morE vaLuE in HEaLtH carE Five groups to meet and discuss three questions: ÿ t a macro level, what's your best guess on how much more A value (health returned for money invested)
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From page 290...
... Lowery-North, Emory Uniersity Skilled nursing facilities ÿ Mary Jane Koren, The Commonwealth Fund Panel discussion to follow 4:30 concLuding Summary rEmarkS and adjournmEnt Denis A Cortese, Mayo Clinic and Roundtable on Eidence-Based Medicine (IOM)
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Key Terms

  • mayo clinic
  • georgia institute
  • value capture
  • clinical data
  • technology jerome

  • risk analysis
  • substantially underperforming
  • engineering principles
  • extensive administrative
  • university brent

  • care offers
  • clinical decision
  • monitoring processes
  • moore foundation
  • continuously improving

  • care five
  • continuous learning
  • safety foundation
  • mary jane
  • map onto

  • iom learning
  • research insights
  • improving quality
  • reform efforts
  • honorable paul

  • culture changes
  • community hospital
  • related culture
  • memorial fund
  • keynote speakers


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