Health Care Transformation: A Strategy Rooted in Data and Analytics

Academic Medicine

Volumn 91, Issue 2, 2016, Pages 165-167

  Koster, John ^a   Stewart, Elizabeth ^b   Kolker, Eugene ^b,c,d,e  

^a Providence Health and Services   (United States)

^b SEATTLE CHILDREN S RESEARCH INSTITUTE   (United States)

^c SEATTLE CHILDREN S HOSPITAL   (United States)

^d UNIVERSITY OF WASHINGTON SCHOOL OF MEDICINE   (United States)

^e NORTHEASTERN UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

HEALTH CARE DELIVERY; HUMAN; LEADERSHIP; ORGANIZATION; ORGANIZATION AND MANAGEMENT; PRACTICE GUIDELINE; PROCEDURES; QUALITY CONTROL;

BENCHMARKING; DECISION MAKING, ORGANIZATIONAL; DELIVERY OF HEALTH CARE; EFFICIENCY, ORGANIZATIONAL; GUIDELINES AS TOPIC; HUMANS; LEADERSHIP;

EID: 84955679597     PISSN: 10402446     EISSN: 1938808X     Source Type: Journal    
DOI: 10.1097/ACM.0000000000001047     Document Type: Review

References (18)

1. Deming WE, On a classification of the problems of statistical inference. J Am Stat Assoc 1942 37 218 173 185
2. Daschle TA, Academic medicine in a transformational time. Acad Med 2015 90 11 13
3. Seattle Children's Data and Analytics Team Web site. http://cdoanalytics.org. Accessed October 16, 2015
4. Kolker E, Kolker E, Healthcare analytics: Creating a prioritized improvement system with performance benchmarking. Big Data 2014 2 50 54. http://cdoanalytics1.wpengine.com/wp-content/uploads/2015/09/HC-Analytics-big-data.2014.pdf. Accessed October 16, 2015
5. CDO Analytics. Case studies. Hospital performance improvement. http://cdoanalytics.org/success-stories/hospital-performance-benchmarking. Accessed October 16, 2015
6. U.S. News and World Report. Best children's hospitals 2015-16: Honor roll and overview. http://health.usnews.com/health-news/best-childrens-hospitals/articles/2015/06/09/best-childrens-hospitals-2015-16-honor-roll-and-overview. Accessed October 16, 2015
7. Higdon R, Haynes W, Stanberry L, Unraveling the complexities of life sciences data. Big Data 2013 1 42 50. http://cdoanalytics1.wpengine.com/wp-content/uploads/2015/09/Unraveling-the-Complexities-of-Big-Data-BDJ-Feb-2013.pdf. Accessed October 16, 2015
8. Koster J, Bisbee G, Charan R, n=1: How the Uniqueness of Each Individual Is Transforming Healthcare 2014 Westport, Conn Academy Press
9. Kolker E, Data-driven and people-powered. Cambria Grove Blog 2015. https://www.cambiagrove.com/community/guest-post-data-driven-and-people-powered. Accessed October 16, 2015
10. Kolker E,. Data & analytics success stories that any organization can achieve. CIO forum. http://cdoanalytics.org/wp-content/uploads/2015/09/Kolker-SD-2015-09-14.pdf. Accessed October 16, 2015
11. CDO Analytics. Case studies. Patients' medical complexity. http://cdoanalytics.org/patients-medical-complexity/. Accessed October 16, 2015
12. Higdon R, Stewart E, Roach J, Predictive analytics in healthcare: Medications as a predictor of medical complexity. Big Data 2013 1 237 244. http://cdoanalytics1.wpengine.com/wp-content/uploads/2015/09/Predictive-analytics-in-HC-big-data.pdf. Accessed October 16, 2015
13. Berwick DM, Nolan TW, Whittington J, The triple aim: Care, health, and cost. Health Aff (Millwood) 2008 27 759 769
14. Healthcare Analytics Summit 15. http://hasummit.com. Accessed October 16, 2015
15. Collins J, From Good to Great: Why Some Companies Make the Leap. and Others Don't 2001 New York, NY Harper Business
16. LaMantia J, How tech can cure New York's hospitals. Crains N Y Bus 2015. http://www.crainsnewyork.com/article/20150414/HEALTH-CARE/150419938/how-tech-can-cure-new-yorks-hospitals. Accessed October 16, 2015
17. Colvin G, Humans Are Underrated: What High Achievers Know That Brilliant Machines Never Will 2015 New York, NY Portfolio Press
18. Davies N, Improving healthcare (and pharma's) performance through analytics. Eye for Pharma. http://social.eyeforpharma.com/market-access/improving-healthcare-and-pharmas-performance-through-analytics. Accessed October 16, 2015