Optum labs — a start to achieving these goals. A proverbial - TopicsExpress



          

Optum labs — a start to achieving these goals. A proverbial village is required to make sense of the messy medley of data points that is big data in health care today, integrate and manage them in a safe and secure environment, and translate the findings into practice. One such village is Optum Labs, a research collaborative that has brought together data from the administrative claims of more than 100 million patients and the electronic medical records of over 30 million patients, along with researchers, patient advocates, policy makers, providers, payers, and pharmaceuticals and life sciences companies. The vision of Optum Labs is to boost the generation of high-quality comparative-effectiveness evidence, accelerate translation of knowledge into the development of new predictive models and tools, and improve the delivery of care. For almost two years now, researchers from Optum Labs’s 15 partner organizations have been working in this environment. The knowledge generation within Optum Labs is in its infancy, but early signs point to a significant potential to change health care with more than a 100 studies currently under way. Optum Labs’s priority is to enable clinicians to connect insights from big data directly to the care of an individual patient. This is particularly important for complex patients whose care requires careful prioritization (e.g., people with “comorbidities,” or multiple chronic conditions). For example, researchers are studying the longitudinal variation in care analysis of hip and knee surgery in patients with diabetes and obesity. By analyzing the data on their treatment outcomes, we may be able to learn something that will help us create better protocols for caring for them. The hope is to gain insights about what works and for whom. Ultimately, what should drive this initiative and others is to addresses the complexities, unmet needs, and challenges facing patients.
Posted on: Mon, 15 Dec 2014 04:56:58 +0000

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