Health Language Blog

Meaningful Analytics: Improving Data Integration and Quality by Leveraging the HIE Webinar Recap

Posted on 11/29/16 | Comments

Healthcare organizations must achieve mastery of high-quality data and analytics to thrive within value-based care models. Today’s IT professionals are challenged to design systems that improve data exchange with industry stakeholders as well as acquire more complete and accurate patient information for quality measures reporting. Without a strategy in place that addresses each of these key areas, hospitals and health systems face significant barriers to achieving their overall population health or financial goals.

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Topics: Analytics, HIE, cohort rules management, mapping, CMS, data integration, data quality, APM, VITL

Evolving Insights into The Value of Health Information Exchanges

Posted on 07/29/13 | Comments

Evolving_Insights

Health information exchanges (HIEs) are an appealing way of harnessing technology to improve care. Too often, doctors must make medical decisions based on incomplete clinical information. Electronic health records are part of the solution, but their full value won’t be achieved until they’re connected to provide a cross-institutional, comprehensive, timely and accessible view of a patient’s medical history.

Public and private HIEs are creating the connections and clearinghouses to make this possible. However, while everyone recognizes that better information can lead to better care, financing HIEs has proved to be very challenging. One hope has been that HIEs could pay off quickly in early cost savings. It stands to reason that doctors wouldn’t need to order as many tests if they knew the results of previous ones, and early studies led to very promising projections of costly tests averted.

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Topics: HIE, Health Language, Dr. Steve Ross, Health Information Exchange, Radiology Testing, Health Information Technology, HIE Adoption

Little Savings on Tests Found Through HIE

Posted on 06/17/13 | Comments

Little_Savings_on_Tests_Found_Through_HIE

Originally written by Susan D. Hall

A Colorado study of ambulatory practices found no significant reduction in the number of tests ordered or in the cost of tests among the participants of a Health Information Exchange (HIE). The Study analyzed claims data from Rocky Mountain Health Plans, a leading health plan in the market, for 306 providers in 69 practices in Mesa County, CO. The study compared the number of tests ordered and their costs before and after the providers joined the HIE, which was launched in 2005 by Quality Health Network (QHN). By 2010, 85 percent of the providers in the area were participating in the HIE. The study was published in the Journal of the American Medical Informatics Association.

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Topics: HIE, Health Plans, Health Language, Dr. Steve Ross, Health Information Exchange, Wolters Kluwer Health, Rocky Mountain Health Plans, American Medical Informatics Association, Quality, Health Network, ambulatory

The Significance of Normalizing Your Data to the Future of Healthcare

Posted on 01/24/13 | Comments

On January 10, the Centers for Medicare and Medicaid Services (CMS) announced the formation of 106 new Accountable Care Organizations (ACOs), bringing the grand total to more than 250 ACOs. Comprised of physicians, hospitals and health systems, each of these ACOs must be able to exchange data on the designated population of Medicare patients included in the CMS program. What’s more, they need to be able to analyze the data to determine if they are meeting 33 distinct quality measures concerning care coordination, patient safety, preventive health services, at-risk populations, and patient/caregiver experience of care.

However, if the stakeholders in these ACOs aren’t all sharing and analyzing data that uses the same data terminologies, their success could be impacted. This is where data “normalization” comes in. It can greatly improve operational efficiencies and patient outcomes not just for ACOs, but for all healthcare providers and payers nationwide.

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Topics: Meaningful use, ICD-10, HIE, Coding Challenges, Data Warehousing