Thursday, October 7, 2010

[EQ] A Foundation for Evidence-Driven Practice: A Rapid Learning System for Cancer Care

A Foundation for Evidence-Driven Practice:
A Rapid Learning System for Cancer Care

Workshop Summary

Sharon Murphy and Margie Patlak, Rapporteurs;

IOM (Institute of Medicine). 2010. Washington,DC: The National Academies Press

ISBN: 0-309-15127-9, 124 pages, 6 x 9, (2010)

Available online at: http://bit.ly/anfRol


 “…..Evidence of what is effective in clinical practice, especially evidence of what is appropriate for specific individual patients, is often lacking. In addition, if such evidence is available, it is often not translated rapidly into standard clinical practice, nor is it followed uniformly across healthcare practices. Our current healthcare system is plagued by overuse, underuse, and misuse, leading a recent Institute of Medicine (IOM) committee to conclude there is an urgent need to “know what works” (IOM, 2008).

This is problematic and challenging given the rapidity with which medical advances render standard care obsolete. A delay in translation or inappropriate care can shorten the life span of patients with life-threatening diseases.

Regrettably, much of the information that could improve care is not currently collected or distributed at the point of care, despite recent advances in information technology that make this possible….”

“…..There is a compelling public interest to advance the evidence base for cancer treatment and control measures, and to transform the way evidence is aggregated and applied in real-time, driving the process of discovery as a natural outgrowth of patient care, to ensure innovation, quality, safety, and value. A learning health care system for cancer would take full advantage of private and public sector databases and emerging information technology, including electronic medical records, to advance clinical cancer data, both as a public utility and a point-of-care patient-centered clinical decision support system. In light of substantial public investments in health information technology and comparative effectiveness research, this workshop is both timely and topical.

 

The promise of personalized cancer medicine and targeted therapies for cancer add further urgency to foster development of rapid learning systems to know what works and deliver higher value cancer care.

The goal of this workshop is to foster progress toward this vision for a rapid learning health care system for cancer. The workshop will examine the foundation stones upon which to build such a system and explore aspects of information technology which will enable such a system to operate seamlessly.

The impact on oncology providers and policy challenges will be examined with the aim of stimulating collaboration and action…”

           

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