No big data without small data: Learning health care systems begin and end with the individual patient

Journal of Evaluation in Clinical Practice

Volumn 21, Issue 6, 2015, Pages 1014-1017

  Sacristán, José A ^a   Dilla, Tatiana ^a  

^a ELI LILLY AND COMPANY   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

ACCESS TO INFORMATION; CLINICAL PRACTICE; CLINICAL RESEARCH; DATA BASE; DOCTOR PATIENT RELATION; ELECTRONIC MEDICAL RECORD; EVIDENCE BASED MEDICINE; HEALTH CARE DISPARITY; HEALTH CARE SYSTEM; HUMAN; INFORMED CONSENT; MEDICAL CARE; MEDICAL INFORMATION SYSTEM; PATIENT CARE; PATIENT INFORMATION; PERSONALIZED MEDICINE; PRIORITY JOURNAL; RANDOMIZED CONTROLLED TRIAL (TOPIC); REVIEW; ELECTRONIC HEALTH RECORD; HEALTH CARE DELIVERY; INFORMATION SYSTEM; KNOWLEDGE; ORGANIZATION AND MANAGEMENT; STANDARDS;

DELIVERY OF HEALTH CARE; ELECTRONIC HEALTH RECORDS; EVIDENCE-BASED MEDICINE; HUMANS; INFORMATION SYSTEMS; KNOWLEDGE; PATIENT-CENTERED CARE; PRECISION MEDICINE;

EID: 84959494943     PISSN: 13561294     EISSN: 13652753     Source Type: Journal    
DOI: 10.1111/jep.12350     Document Type: Review

References (30)

1. Murdoch, T. B., &, Detsky, A. S., (2013) The inevitable application of big data to health care. Journal of the American Medical Association, 13, 1351-1352.
2. Larson, E. B., (2013) Building trust in the power of 'big data' research to serve the public good. Journal of the American Medical Association, 309, 2443-2444.
3. Roski, J., Bo-Linn, G. W., &, Andrews, T. A., (2014) Creating value in health care through big data: opportunities and policy implications. Health Affairs, 33, 1115-1122.
4. Davenport, T. H., &, Harris, J. G., (2007) Competing on Analytics: The New Science of Winning. Boston, MA: Harvard Business School Press.
5. Wang, W., &, Krishnan, E., (2014) Big data and clinicians: a review on the state of the science. Journal of Medical Internet Research Medical Informatics, 2, 1-11.
6. Schneeweiss, S., (2014) Learning from big health care data. The New England Journal of Medicine, 370, 2161-2163.
7. Schneeweiss, S., &, Avorn, J., (2005) A review of uses of health care utilization databases for epidemiologic research on therapeutics. Journal of Clinical Epidemiology, 58, 323-337.
8. Madigan, D., Ryan, P. B., Schuemie, M., Stang, P. E., Overhage, J. M., Hartzema, A. G., Suchard, M. A., DuMouchel, W., &, Berlin, J. A., (2013) Evaluating the impact of database heterogeneity on observational study results. American Journal of Epidemiology, 178, 645-651.
9. Psaty, B. M., &, Breckenridge, A. M., (2014) Mini-Sentinel and regulatory science. Big data rendered fit and functional. The New England Journal of Medicine, 370 (23), 2165-2167.
10. Ross, J. S., &, Krumholz, H. M., (2013) Ushering in a new era of open science through data sharing. The wall must come down. Journal of the American Medical Association, 309, 1355-1356.
11. Sacristan, J. A., (2013) Evidence based medicine and patient centered medicine: some thoughts on their integration. Revista Clínica Española, 213, 460-464.
12. Etheredge, M. L., (2007) A rapid-learning health system. Health Affairs, 26, w107-w118.
13. Balas, E. A., &, Boren, S. A., (2000) Yearbook of Medical Informatics: Managing Clinical Knowledge for Health Care Improvement. Stuttgart, Germany: Schattauer Verlagsgesellscaft mbH.
14. Brooks, D., (2013) The philosophy of data. New York Times, 4 Feb.
15. Black, N., (2013) Patient reported outcome measures could help transform healthcare. British Medical Journal, 346, f167.
16. Sacristan, J. A., Soto, J., Galende, I., &, Hylan, T. R., (1998) Randomized database studies: a new method to assess drugs' effectiveness? Journal of Clinical Epidemiology, 51, 713-715.
17. Lauer, M. S., &, D'Agostino, R. B., (2013) The randomized registry trial. The next disruptive technology in clinical research? The New England Journal of Medicine, 369 (17), 1579-1581.
18. Staa, T. P., Goldacre, B., Gulliford, M., Cassell, J., Pirmohamed, M., Taweel, A., Delaney, B., &, Smeeth, L., (2013) Pragmatic randomised trials using routine electronic health records: putting them to the test. British Medical Journal, 344, e55.
19. van Staa, T. P., Dyson, L., McCann, G., et al. (2014) The opportunities and challenges of pragmatic point-of-care randomised trials using routinely collected electronic records: evaluations of two exemplar trials. Health Technology Assessment, 18, 1-146.
20. Duan, N., Kravitz, R. L., &, Schmid, C. H., (2013) Single-patient (n-of-1) trials: a pragmatic clinical decision methodology for patient-centered comparative effectiveness research. Journal of Clinical Epidemiology, 66 (8 Suppl.), S21-S28.
21. Kass, N., Faden, R., &, Tunis, S., (2012) Addressing low-risk comparative effectiveness research in proposed changes to US federal regulations governing research. Journal of the American Medical Association, 307, 1589-1590.
22. Faden, R. R., Kass, N. E., Goodman, S. N., Pronovost, P., Tunis, S., &, Beauchamp, T. L., (2013) An ethics framework for a learning health care system: a departure from traditional research ethics and clinical ethics. Hastings Center Report, 43, S16-S27.
23. Faden, R. R., Beauchamp, T. L., &, Kass, N. E., (2014) Informed consent, comparative effectiveness, and learning health care. The New England Journal of Medicine, 370, 766-768.
24. Sacristan, J. A., (2013) Patient-centered medicine and patient-oriented research: improving health outcomes for individual patients. BMC Medical Informatics and Decision Making, 13, 6.
25. Weber, G. M., Mandl, K. D., &, Kohane, I. S., (2014) Finding the missing link for big biomedical data. Journal of the American Medical Association, 24, 2479-2480.
26. Montori, V. M., Brito, J. P., &, Murad, M. H., (2013) The optimal practice of evidence based medicine. Incorporating patient preferences in practice guidelines. Journal of the American Medical Association, 310, 2503-2504.
27. Hayes, J. H., &, Barry, M. J., (2014) Screening for prostate cancer with the prostate-specific antigen test. A review of current evidence. Journal of the American Medical Association, 311, 1143-1149.
28. Bates, D. W., Saria, S., Ohno-Machado, L., Shah, A., &, Escobar, G., (2014) Big data in health care: using analytics to identify and manage high-risk and high-cost patients. Health Affairs, 33, 1123-1131.
29. Lipkin, M., (2013) Shared decision making. Journal of the American Medical Association Internal Medicine, 173, 1204-1205.
30. Hoffmann, T. C., Legare, F., Simmons, M. B., McNamara, K., McCaffery, K., Trevena, L. J., Hudson, B., Glasziou, P. P., &, Del Mar, C. B., (2014) Shared decision making: what do clinicians need to know and why should they bother? Medical Journal of Australia, 201, 35-39.