Healthcare Analytics, Population Health Management, Healthcare Big Data

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What are Precision Medicine and Personalized Medicine?

Since the beginning of recorded history, healthcare practitioners have striven to make their actions more effective for their patients by experimenting with different treatments, observing and sharing their results, and improving upon the efforts of previous generations. Becoming more accurate, precise, proactive, and impactful for each individual that comes under their care has always been...


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Meeting the Challenge of Healthcare Consumerism with Big Data Analytics

As the remarkable, eventful year of 2017 lumbers to its cold and snowy close, healthcare organizations may feel as if they are starting 2018 on an unstable footing. From tragic natural disasters and devastating ransomware attacks to the first...

Understanding the Basics of Clinical Decision Support Systems

Clinical decision support systems are quickly becoming essential tools for healthcare providers as the volume of available data increases alongside their responsibility to deliver value-based care. Reducing clinical variation and duplicative...

For Opioids and Substance Abuse, Big Data Analytics Is Just the Beginning

Fentanyl, heroin, prescription opioids, and a growing number of synthetic drugs killed more than 50,000 Americans in 2016.  It is a statistic that is hard to compute –numbing in its scope and staggering in the sheer complexity of trying...

Navigating the Hype of Healthcare Artificial Intelligence Companies

Few phrases in the healthcare IT world conjure up quite as much excitement as “artificial intelligence.”  Sweeping through vendor marketing teams like a tidal wave of opportunity, nearly every technology company has at least...

Epic Systems: Machine Learning Is the EHR Usability Solution

A public appearance by Epic Systems founder and CEO Judy Faulkner is always a big event for the health IT industry, and nothing is bigger for Epic than the electronic health record company’s annual user group meeting. With 9000 thousand...

Using Visual Analytics, Big Data Dashboards for Healthcare Insights

The need to make sense of big data is quickly becoming an imperative in the healthcare industry, demanding a degree of time, skill, attention, and resources that many providers simply do not have to spare.  While changing payment models...

What Are the Social Determinants of Population Health?

Financially and clinically successful population health management programs must take much more into account than what happens to a patient while she is sitting on the exam table.  As the healthcare system’s responsibility expands...

Leveraging Business Intelligence for Healthcare Management

Considering that the phrase “value-based care” is almost always immediately followed by a discussion about how to trim inefficiencies and improve patient outcomes, few industries are more in need of comprehensive insight into their...

Data Integrity Strategies for Patient Matching, Identification

Patient matching errors are an insidious but all-too-common threat to patient safety in the healthcare setting.  While providers have generally embraced the idea that a patient’s electronic record should follow her from the moment...

Turning Healthcare Big Data into Actionable Clinical Intelligence

Healthcare organizations on the hunt for lower costs, better outcomes, and value-based care bonuses have invested heavily in hoarding as much big data as they can get their hands on.  From customer service call logs and clinical documentation...

How Do Artificial Intelligence, Machine Learning Differ in Healthcare?

If the futurists, visionaries, and venture capitalists are to be believed, artificial intelligence is right on the cusp of becoming the most important breakthrough for healthcare since penicillin.  Self-driving cars, scary-smart advertising,...

FHIR Finally Brings the Internet to Bear on Healthcare’s Big Data

Few modern technologies have been quite as transformational as the internet.  Pervading every facet of daily life, the information superhighway that society has come to know and love – and occasionally loathe – has enabled a...

Can Application Programming Interfaces Inspire a Better EHR?

Almost everybody can recall being told the stories of Archimedes in the bath and Isaac Newton under the apple tree experiencing spontaneous moments of ingenuity and inspiration that irrevocably changed how scientists – and everyone who...

Judy Faulkner: Epic is Changing the Big Data, Interoperability Game

In the flashy, crowded, dizzyingly large vendor halls at the annual HIMSS Conference and Exhibition, attendees tend to find their way around by using some of the biggest, tallest, or most unique booths as a compass.  A left at Cerner; a...

Health Information Governance Strategies for Unstructured Data

While electronic health records still have the potential to standardize care by enabling advanced analytics and informing clinical decision-making, much of the data held within these systems – and a large proportion of the data used in...

21st Century Cures Act Rekindles Information Blocking Debate

While primarily billed as a much-needed influx of funding for precision medicine, the 21st Century Cures Act is poised to do much more for healthcare than it appears on the surface. In addition to adjusting drug development rules for pharmaceutical...

Using Risk Scores, Stratification for Population Health Management

Population health management requires providers to maintain a delicate balance between taking a long view of generalized patient trends and focusing personal attention on the individual and the distinctive circumstances that will influence her...

Addressing Opioid Abuse with Analytics, Population Health Strategies

Opioid abuse is among the deadliest population health crises in America, with opioid-related overdoses taking an average of 44 lives each day.  Fueled largely by a precipitous rise in legal prescriptions for highly addictive painkillers,...

How Healthcare Can Prep for Artificial Intelligence, Machine Learning

The term “artificial intelligence” often conjures up visions of apocalyptic landscapes decimated by hyper-intelligent machines with a penchant for destroying societies foolish enough to place their trust in autonomous robots and android...

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