Population Health Management, Automated Care, Data Management, and PHM Implementation Resources Population Health Management, Automated Care, Data Management, and PHM Implementation Resources


  • Quality Management System: Why It Matters And Its Impact On Patient Outcomes

    Our industry has begun to initiate another important phase in patient healthcare. The HITECH Act outlined the intended plans for the adoption of electronic health records through meaningful use. The Centers for Medicare and Medicaid Services’ (CMS) EHR Incentive programs have evolved into three stages of “Meaningful Use” with their own goals, priorities, and their own final rule. The last stage of the CMS Meaningful Use program, Stage 3, is on track to commence January 1, 2018. During this final phase the Quality Management System (QMS) specification, which was optional in Stage 2, will become a requirement.

  • How Online Tools Increase Patient Retention

    If patients aren’t satisfied with their provider all it takes is a quick online search to find another one. How can providers work to proactively combat these high attrition rates? Not surprisingly, the top items on patients’ wish lists for the ideal doctor are greater connectivity and convenience through online tools — both things that are easy for a practice to implement using patient relationship management (PRM) solutions. By Jim Higgins, CEO and founder, Solutionreach

  • Why Effective PHM Requires A Real-Time Clinical Perspective

    Clinical laboratories have been an essential component of safe and effective care delivery since at least the early 20th Century. Yet only in recent years have healthcare providers begun to explore ways to leverage that clinical lab data, along with numerous other types of information, to manage populations of at-risk patients — even prevent potential adverse health events.

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  • Is Big Data Fueling Breaches?
    Is Big Data Fueling Breaches?

    Data breaches continue to dominate healthcare headlines, leading one to wonder if the unprecedented growth of Big Data is to blame? Health Data Consortium CEO Chris Boone shares his thoughts on this subject and more.

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Population health management is a model that looks beyond those who need immediate medical care by helping physicians to assess their entire patient population and divide it into various groups. These groups often consist of three main categories: those who are healthy and need to stay healthy, those that have health risks, and those with chronic conditions. Healthy individuals are often managed by having them keep up with preventative care measures. Those with health risks often need to change or stop certain behaviors to reduce their risks. And, those with chronic conditions need to prevent further complications by working with their health providers and changing their health behaviors.

The goal of population health management is improving the overall health of an entire population. Treating health at a population level typically means focusing on improving environment, social structure, and resource distribution. Family planning programs, for instance, play a major role in population health and are one of the most highly cost-effective interventions in medicine.