For Healthcare Organizations, a Modern Data Architecture Is a Necessity

on Dec 12, 2018 6:06:52 AM | By Robert Fuller | Healthcare Data Warehouse Modernization
Healthcare Partner Bob Fuller and Healthcare Chief Technology Officer Ramu Kalvakuntla make a compelling argument for modern data architectures for healthcare organizations. Not sure what those are? They explain that, too, on the AHIMA Data Revolution blog.
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Disruption is the Wake-Up Call Healthcare Needs

Health Innovation Lead Max Schlather sees Silicon Valley giving the healthcare industry a needed wake-up call. He shared his thoughts in an editorial on Healthcare Analytics News. Check it out below.
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Interoperability Is the Key to Lower Healthcare Costs and Better Patient Outcomes. But How Do We Get There?

Lack of interoperability has been a roadblock to innovation. Changing that will elevate the future of healthcare. Robert "Bob" Fuller's recent article published in Healthcare Analytics News online describes the impacts to healthcare from lagging behind other industries. As the Managing Partner for Clarity's Healthcare practice, Bob gives a practical view of interoperability as it applies to the industry, as well as the importance of adoption for innovation and better health management for increased ROI. 
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Health Innovation Framework - Ideation. Incubation. Industrialization

on Nov 9, 2017 2:37:12 PM | By Teresa Letlow | Healthcare Advanced Analytics agile
Clarity Insight’s Health Innovation Framework has been formalized across years of client experiences and is applied both externally with Clarity clients and on internal Clarity initiatives within our Health Innovation Cloud. By embracing an agile methodology, clients are able to identify and prioritize ideas, test ideas, fail or achieve success in weeks to days, and take successes to market quickly. This reduces the risk associated with projects, providing the flexibility to start small and prove ROI before implementing across the organization.
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Actuaries positioned to embrace powerful predictive analytics

Perhaps no one appreciates uncertainty and risk like an actuary. The cornerstone of the insurance industry, actuaries spend all day, every day combing through data and breaking down the probabilities associated with certain events.
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Preventing Fraud, Waste and Abuse in Health Care

on Jul 19, 2017 6:25:00 AM | By Callie Wheeler | Healthcare Big Data abuse fraud
Fraud, waste and abuse (FWA) in health care isn’t slowing down. In fact, the FBI estimates about 10 percent of health care costs are fraudulent or wasteful. Wondering how much that adds up to every year? About $330 billion.
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Pioneering The Use Of Clinical Data With FHIR

on May 31, 2017 6:30:00 AM | By Omar Shaker | Healthcare Big Data White Papers communications FHIR
Fast Healthcare Interoperability Resources (FHIR) FHIR is a new standard for interoperability of healthcare communications, and it represents a paradigm shift for healthcare data transfer. FHIR approaches the nearly 80% of common data that’s organization-agnostic, rather than attempting to identify the 20% of user-based exceptions. This is achieved by breaking down the structure into “resources” that represent different bits and pieces of the clinical experience, as well as the common workflows shared across the industry.
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How to Create a Blueprint for Your Healthcare Data

Successful healthcare organizations are keeping their competitive edge by collecting, analyzing and using decades worth of data to inform their future decisions. But, in the same way that a home can not be built properly without a clear blueprint, data analytics can not be performed without a solid underlying data model.
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Making Healthcare Healthier Through Analytics

on Aug 1, 2016 1:12:51 PM | By Danielle Hilson | Healthcare Big Data White Papers
In our tech society, industries are discovering they have more data than they know what to do with, including healthcare, where "estimates are that the healthcare sector has about 50 petabytes of data that is predicted to grow by a factor of 50 to 25,000 petabytes by 2020."  With all the recent changes for healthcare payers, including the Affordable Care Act and member centric relationship models, analyzing that data and transforming it into functional information that produces results is a major challenge.
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