Literature DB >> 25006145

Optum Labs: building a novel node in the learning health care system.

Paul J Wallace1, Nilay D Shah2, Taylor Dennen3, Paul A Bleicher, Paul D Bleicher4, William H Crown5.   

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. Project HOPE—The People-to-People Health Foundation, Inc.

Entities:  

Keywords:  Big Data; Collaboration; Research; Translation

Mesh:

Year:  2014        PMID: 25006145     DOI: 10.1377/hlthaff.2014.0038

Source DB:  PubMed          Journal:  Health Aff (Millwood)        ISSN: 0278-2715            Impact factor:   6.301


  136 in total

Review 1.  Cost-of-Illness Studies: An Updated Review of Current Methods.

Authors:  Eberechukwu Onukwugha; Jacquelyn McRae; Alex Kravetz; Stefan Varga; Rahul Khairnar; C Daniel Mullins
Journal:  Pharmacoeconomics       Date:  2016-01       Impact factor: 4.981

2.  Transforming Healthcare Delivery: Integrating Dynamic Simulation Modelling and Big Data in Health Economics and Outcomes Research.

Authors:  Deborah A Marshall; Lina Burgos-Liz; Kalyan S Pasupathy; William V Padula; Maarten J IJzerman; Peter K Wong; Mitchell K Higashi; Jordan Engbers; Samuel Wiebe; William Crown; Nathaniel D Osgood
Journal:  Pharmacoeconomics       Date:  2016-02       Impact factor: 4.981

3.  Specification Issues in a Big Data Context: Controlling for the Endogeneity of Consumer and Provider Behaviours in Healthcare Treatment Effects Models.

Authors:  William H Crown
Journal:  Pharmacoeconomics       Date:  2016-02       Impact factor: 4.981

4.  Follow-up Care for Breast Cancer Survivors.

Authors:  Kathryn J Ruddy; Jeph Herrin; Lindsey Sangaralingham; Rachel A Freedman; Ahmedin Jemal; Tufia C Haddad; Summer V Allen; Tina Hieken; Judy C Boughey; Patricia A Ganz; Rachel D Havyer; Nilay D Shah
Journal:  J Natl Cancer Inst       Date:  2020-01-01       Impact factor: 13.506

5.  The impact of telemental health use on healthcare costs among commercially insured adults with mental health conditions.

Authors:  Xiaohui Zhao; Sandipan Bhattacharjee; Kim E Innes; Traci J LeMasters; Nilanjana Dwibedi; Usha Sambamoorthi
Journal:  Curr Med Res Opin       Date:  2020-08-07       Impact factor: 2.580

6.  Severe Hypoglycemia Attributable to Intensive Glucose-Lowering Therapy Among US Adults With Diabetes: Population-Based Modeling Study, 2011-2014.

Authors:  Grace K Mahoney; Henry J Henk; Rozalina G McCoy
Journal:  Mayo Clin Proc       Date:  2019-08-15       Impact factor: 7.616

7.  Challenges with quality of race and ethnicity data in observational databases.

Authors:  Fernanda C G Polubriaginof; Patrick Ryan; Hojjat Salmasian; Andrea Wells Shapiro; Adler Perotte; Monika M Safford; George Hripcsak; Shaun Smith; Nicholas P Tatonetti; David K Vawdrey
Journal:  J Am Med Inform Assoc       Date:  2019-08-01       Impact factor: 4.497

Review 8.  Personalized evidence based medicine: predictive approaches to heterogeneous treatment effects.

Authors:  David M Kent; Ewout Steyerberg; David van Klaveren
Journal:  BMJ       Date:  2018-12-10

9.  Incidence and Early Outcomes of Heart Failure in Commercially Insured and Medicare Advantage Patients, 2006 to 2014.

Authors:  Lindsey R Sangaralingham; Nilay D Shah; Xiaoxi Yao; Véronique L Roger; Shannon M Dunlay
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2016-05-10

10.  Recurrent hospitalizations for severe hypoglycemia and hyperglycemia among U.S. adults with diabetes.

Authors:  Rozalina G McCoy; Jeph Herrin; Kasia J Lipska; Nilay D Shah
Journal:  J Diabetes Complications       Date:  2018-04-24       Impact factor: 2.852

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