The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Optum Labs: Building A Novel Node In The Learning Health Care System
Abstract
Unprecedented change in the US health care system is being driven by the rapid uptake of health information technology and national investments in multi-institution research networks comprising academic centers, health care delivery systems, and other health system components. An example of this changing landscape is Optum Labs, a novel network "node" that is bringing together new partners, data, and analytic techniques to implement research findings in health care practice. Optum Labs was founded in early 2013 by Mayo Clinic and Optum, a commercial data, infrastructure services, and care organization that is part of UnitedHealth Group. Optum Labs now has eleven collaborators and a database of deidentified information on more than 150 million people that is compliant with the Health Insurance Portability and Accountability Act (HIPAA) of 1996. This article describes the early progress of Optum Labs. The combination of the diverse collaborator perspectives with rich data, including deep patient and provider information, is intended to reveal new insights about diseases, treatments, and patients' behavior to guide changes in practice. Practitioners' involvement in agenda setting and translation of findings into practical care innovations accelerates the implementation of research results. Furthermore, feedback loops from the clinic help Optum Labs expand on successes and give quick attention to challenges as they emerge.
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Cites
The Triple Aim: Care, Health, And Cost
Berwick, D. M., Nolan, T. W., & Whittington, J. (2008) · Health Affairs · doi:10.1377/hlthaff.27.3.759 · Cited by 5,136
Cited by
Tuppin, P., Rudant, J., Constantinou, P., Gastaldi-Ménager, C., Rachas, A., de Roquefeuil, L., Maura, G., Caillol, H., Tajahmady, A., Coste, J., et al. (2017) · Revue d'Épidémiologie et de Santé Publique · doi:10.1016/j.respe.2017.05.004 · Cited by 891
Krumholz, H. M. (2014) · Health Affairs · doi:10.1377/hlthaff.2014.0053 · Cited by 589
An integrated big data analytics-enabled transformation model: application to health care
Wang, Y., Kung, L., Wang, W. Y. C., & Cegielski, C. G. (2018) · Information & Management · doi:10.1016/j.im.2017.04.001 · Cited by 508
Yao, X., Abraham, N. S., Sangaralingham, L. R., Bellolio, M. F., McBane, R. D., Shah, N. D., & Noseworthy, P. A. (2016) · Journal of the American Heart Association · doi:10.1161/jaha.116.003725 · Cited by 419
Self-citationBig data analytics to improve cardiovascular care: promise and challenges
Rumsfeld, J. S., Joynt, K. E., & Maddox, T. M. (2016) · Nature Reviews Cardiology · doi:10.1038/nrcardio.2016.42 · Cited by 398
Metadata
- Authors
- Wallace, P. J., Shah, N. D., Dennen, T., Bleicher, P. A., & Crown, W. H.
- Venue
- Health Affairs
- Publisher
- Health Affairs Publishing, LLC
- Published
- 2014-07
- Volume
- 33
- Issue
- 7
- Pages
- 1187-1194
- ISSN
- 0278-2715 (ISSN-L)
- 1544-5208
- OpenAlex
- W2004670370
- Cited by
- 445
- References
- 1
- FWCI
- 54.81
- Type
- journal article
- Language
- en
- Open access
- closed
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