Guest editors' introduction to the special section on information technology and evidence implementation

Translational Behavioral Medicine

Volumn 1, Issue 1, 2011, Pages 11-14

  Abernethy, Amy P ^a,b   Hesse, Bradford W ^c  

^a DUKE UNIVERSITY MEDICAL CENTER   (United States)

^b DUKE CANCER INSTITUTE   (United States)

^c NATIONAL CANCER INSTITUTE   (United States)

Author keywords

Behavioral medicine; Data; Evidence translation; Information; Information technology

Indexed keywords

BEHAVIORAL MEDICINE; EDITOR; EDITORIAL; EVIDENCE BASED PRACTICE; HEALTH CARE COST; HEALTH CARE PLANNING; HEALTH CARE POLICY; HEALTH CARE PRACTICE; HEALTH CARE QUALITY; HEALTH CARE SYSTEM; HEALTH SERVICE; HUMAN; INFORMATION TECHNOLOGY; INTERNET; MEDICAL INFORMATION; MEDICAL PRACTICE; MEDICAL RESEARCH; PATIENT CARE; PRACTICE GUIDELINE; PRIORITY JOURNAL; PUBLICATION; TRANSLATIONAL RESEARCH;

EID: 79955400793     PISSN: 18696716     EISSN: 16139860     Source Type: Journal    
DOI: 10.1007/s13142-011-0014-6     Document Type: Editorial

References (44)

1. Chassin, M. R. (1998). Is health care ready for Six Sigma quality? The Milbank Quarterly, 76(4), 565-591. 510.
2. Kohn, L. T., Corrigan, J., & Donaldson, M. S. (2000). To err is human: Building a safer health system. Washington, D. C.: National Academy.
3. Balas, A., & Boren, S. (2000). Managing clinical knowledge for health care improvement. Yearbook of medical informatics 2000. Stuttgart: Schattauer.
4. Agency for Healthcare Research and Quality. (2004). National Healthcare Disparities Report. Washington, D. C.: Agency for Healthcare Research and Quality.
5. Institute of Medicine. (2003). Priority areas for national action: Transforming health care quality. Washington, D. C.: National Academy.
6. Wagner, E. H. (2004). Chronic disease care. BMJ, 328(7433), 177-178.
7. Hickson, G. B., Federspiel, C. F., Pichert, J. W., Miller, C. S., Gauld-Jaeger, J., & Bost, P. (2002). Patient complaints and malpractice risk. JAMA, 287(22), 2951-2957.
8. Chew, D. P. (2008). The last mile: Improving patient outcomes within modern cardiovascular medicine. Heart, Lung & Circulation, 17(Suppl 4), S10-S13.
9. Institute of Medicine (U. S.). (2001). Committee on quality of health care in America. Crossing the quality chasm: A new health system for the 21st century. Washington, D. C.: National Academy.
10. American Cancer Society. (2010). Cancer facts & figures: 2010. Atlanta: American Cancer Society.
11. Cancer Center Directors Working Group. (2006). Accelerating successes against cancer. Washington, D. C.: U. S. Department of Health and Human Services.
12. Institute of Medicine. (2010). A foundation for evidence-driven practice: A rapid learning system for cancer care. Workshop summary. Washington, D. C.: The National Academies.
13. Institute of Medicine (U. S.). (2008). Meeting (37th: 2007: Washington D. C.). In M. B. McClellan et al. (Eds.), Evidence-based medicine and the changing nature of health care: 2007 IOM annual meeting summary. Washington, D. C.: The National Academies. 190 pp.
14. Abernethy, A. P., Etheredge, L. M., Ganz, P. A., et al. (2010). Rapid-learning system for cancer care. Journal of Clinical Oncology, 28(27), 4268-4274.
15. Olsen, L., Aisner, D., McGinnis, J. M., & Institute of Medicine (U. S.). (2007). Roundtable on evidence-based medicine. The learning healthcare system: Workshop summary. Washington, D. C.: National Academies.
16. Reid, P. P., Compton, W. D., Grossman, J. H., et al. (2005). Building a better delivery system: A new engineering/health care partnership. Washington, D. C.: National Academies.
17. Cutler, D. M., Davis, K., & Stremikis, K. (2009). Why health reform will bend the cost curve. Issue Brief-Commonwealth Fund, 72, 1-16.
18. Cutler, D. M., Davis, K., & Stremikis, K. (2010). The impact of health reform on health system spending. Issue Brief-Commonwealth Fund, 88, 1-14.
19. Brailer, D. J. (2009). Presidential leadership and health information technology. Health Affairs (Millwood), 28(2), w392-w398.
20. HITECH Act. (2009). 42 USC 139w-4(0)(2).
21. Blumenthal, D. (2010). Guiding the health information technology agenda. Interviewed by David J. Brailer. Health Affairs (Millwood), 29(4), 586-595.
22. Cayton, H. (2006). The flat-pack patient? Creating health together. Patient Education and Counseling, 62(3), 288-290.
23. O'Reilly T. (2005). What is web 2. 0? Design patterns and business models for the next generation of software. http://www. oreillynet. com/pub/a/oreilly/tim/news/2005/09/30/what-is-web-20. html. Accessed 19 Jan 2008.
24. Ash. (2010). Health 2. 0 keynoters differ on health IT innovation. BiomedME. com. http://biomedme. com/general/health-2-0-keynoters-differ-on-health-it-innovation_15495. html. Accessed 10 Oct 2010.
25. Hesse, B. W., & Shneiderman, B. (2007). eHealth research from the user's perspective. American Journal of Preventive Medicine, 32(5 Suppl), S97-S103.
26. Vicente, K. J. (2003). The human factor: Revolutionizing the way people live with technology (1st ed.). New York: Taylor and Francis Books.
27. Shirky, C. (2008). Here comes everybody: The power of organizing without organizations. New York: Penguin.
28. Fox, S. (2008). The engaged E-patient population. Washington, D. C.: Pew Charitable Trusts.
29. Fox, S., & Jones, S. (2009). The social life of health information. Washington, D. C.: California Healthcare Foundation.
30. Chou, W. Y., Hunt, Y. M., Beckjord, E. B., Moser, R. P., & Hesse, B. W. (2009). Social media use in the United States: Implications for health communication. Journal of Medical Internet Research, 11(4), e48.
31. MIT Center for Collective Intelligence. (2010). Handbook of collective intelligence. http://scripts. mit. edu/~cci/HCI/index. php?title=Main_Page. Accessed 8 Sept 2010.
32. Marsh, A., Carroll, D., & Foggie, R. (2010). Using collective intelligence to fine-tune public health policy. Studies in Health Technology and Informatics, 156, 13-18.
33. Gregg, D. G. (2010). Designing for collective intelligence. Communications of the ACM, 53(4), 134-138.
34. Hesse, B. W. (2005). Harnessing the power of an intelligent health environment in cancer control. Studies in Health Technology and Informatics, 118, 159-176.
35. Stead, W. W., & Lin, H. S. (Eds.). (2009). Computational technology for effective health care: Immediate steps and strategic directions. Washington, D. C.: National Academies.
36. Stokols, D., Misra, S., Moser, R. P., Hall, K. L., & Taylor, B. K. (2008). The ecology of team science: Understanding contextual influences on transdisciplinary collaboration. American Journal of Preventive Medicine, 35(2 Suppl), S96-S115.
37. Shortliffe, E. H. (2001). Medical informatics: Computer applications in health care and biomedicine (2nd ed.). New York: Springer.
38. Glasgow, R. E. (2006). RE-AIMing research for application: Ways to improve evidence for family medicine. Journal of the American Board of Family Medicine, 19(1), 11-19.
39. Westfall, J. M., Mold, J., & Fagnan, L. (2007). Practice-based research-"Blue Highways" on the NIH roadmap. JAMA, 297(4), 403-406.
40. Buntin, M. B., Jain, S. H., & Blumenthal, D. (2010). Health information technology: Laying the infrastructure for national health reform. Health Affairs (Millwood), 29(6), 1214-1219.
41. Adler, N. E., Page, A., & National Institute of Medicine (U. S.). (2008). Committee on psychosocial services to cancer patients/families in a community setting. Cancer care for the whole patient: Meeting psychosocial health needs. Washington, D. C.: National Academies.
42. Jain, S. H., Seidman, J., & Blumenthal, D. (2010). How health plans, health systems, and others in the private sector can stimulate 'meaningful use'. Health Affairs (Millwood), 29(9), 1667-1670.
43. Baron, R. J. (2010). Meaningful use of health information technology is managing information. JAMA, 304(1), 89-90.
44. Friedman, T. L. (2007). The world is flat: A brief history of the twenty-first century (1 further updated and expanded hardcoverth ed.). New York: Farrar, Straus and Giroux.