Featured Dashboards Articles

91. 5 Strategies For Using Analytics In Population Health 6/6/2016

    I recently had the opportunity to speak at Worcester Polytechnic Institute (WPI) about the role data plays in emerging population health strategies. Patient data has the ability to truly impact the way healthcare functions — for both patient outcomes and provider bottom lines — but the industry is often at an impasse on how to actually use data to derive meaningful insights that lead to improved care and healthier populations. By George Dealy, Vice President of Healthcare Applications at Dimensional Insight

92. Mobilizing Patient Engagement: Developers Leverage New Tools For Health Data Activation 6/2/2016

    The latest Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) survey of more than 4,000 hospitals once again showed there is plenty of room for improvement when it comes to patient engagement, especially in terms of receiving the right information at the right time about medications and care transitions.

93. 3 Steps To Leveraging Analytics For Revenue Cycle Improvements 5/24/2016

    Now more than ever, healthcare organizations are realizing the benefits of implementing a robust BI and data analytics program. To start, with revenue cycle optimization, analytics can increase and accelerate revenue, as well as eliminate revenue cycle inefficiencies. A strong BI program can also contribute to an organization’s quest to prepare for value-based reimbursement; however, before realizing any of these benefits, organizations must develop a plan specific to its needs and positioned to attain near- and long-term results. By Jeff Wood, vice president of product management, Navicure

94. How Cognitive Probability Graphs Can Save Lives 5/23/2016

    In the near future, it will be possible for patients throughout the healthcare industry to understand the probability of susceptibilities based on their genes, medical records, family history, and current medical condition. By combining artificial intelligence, semantic technologies, Big Data, graph databases, and dynamic visualizations — cognitive probability graphs can determine the likelihood of future medical events. By Dr. Jans Aasman, CEO, Franz Inc.

95. First We Fix The Data, Then We Make It Work For Us 5/13/2016

    The healthcare industry amasses a tremendous amount of clinical data from which it gets far less value than it should. One issue is the lack of consistent, or perhaps I should say persistent, data stewardship with many errors and omissions negatively impacting clinicians. A second issue is a failure to put clinical data to work in meaningful ways, including the identification of trends and patterns (your most at-risk patients), or — at a much higher system level — reducing network leakage and creating effective measurement initiatives. Addressing these issues will be essential to achieving meaningful progress toward healthcare industry goals — and it’s really not as difficult as it seems.

96. Living With Big Data: A 360° View Of Patients 4/28/2016

    The digital revolution in healthcare is well under way. As physicians have been more apt to use electronic medical records (EMRs) and pharma companies and medical researchers are now using electronic databases to hold and protect their data, healthcare holds and manages some of the most complex and contextually rich data sets of any industry. However, using that data to its fullest capacity to make intelligent clinical decisions at the point of care continues to be a pain point facing hospitals and health systems.

97. Ransomware: Another Sign Of Security Challenges 4/19/2016

    A new security trend has emerged in the healthcare sector: ransomware attacks. In recent weeks, three large hospitals have been infected with malware that demands money in order to decrypt sensitive data. Most recently, Kentucky-based Methodist Hospital had malware spread across their entire internal networks. The company resorted to shutting down all of its machines in order to scan each one for infections. As of this writing, they had not paid any ransom.

98. FutureCare For The Information Generation With Predictive Analytics 4/12/2016

    Our technology-driven world is dramatically changing how we consume information as part of the Information Generation. We are always connected, on more devices, and can quickly access data from across the world. When it comes to our own healthcare, we act as both patients and consumers of healthcare information.

99. Young Patients Unclear About Informed Consent Relative To Data Sharing 4/11/2016

    Patients in a recent survey gave varying answers when asked about informed consent for healthcare data research, says BioMed Central. By Katie Wike, contributing writer

100. Data's Credibility Problem: It's About The Quality, Not The Data 4/5/2016

     In the health insurance space, a world of resources and effort has been expended in recent years on the premise that the more data, the better, at times without regard for how to use the data. Unfortunately, many insurers who make that journey too often find they are little better off than when they started.