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What Is Deep Learning and How Will It Change Healthcare?

HealthITAnalytics Healthcare organizations of all sizes, types, and specialties are becoming increasingly interested in how artificial intelligence can support better patient care while reducing costs and improving efficiencies. Over a relatively short period of time, the availability and sophistication of AI has exploded, leaving providers, payers, and other stakeholders with a dizzying array of tools,...


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Combating Chronic Disease through the Social Determinants of Health

Healthcare providers do their very best to understand everything they need to know about their patients during the few scant minutes they are able to spend with each individual.  Once or twice a year, or maybe when a sore throat...

How to Choose a Population Health Management Company

Population health management is quickly becoming a critical competency for healthcare organizations large and small.  From the primary care offices responsible for preventive services to inpatient hospitals on the hook for penalties...

Using Big Data Analytics for Patient Safety, Hospital Acquired Conditions

Prediction and prevention are the two main goals for patient safety experts seeking to avoid adverse events and reduce the prevalence of hospital acquired conditions (HACs).   While workflow strategies, staff training, and human...

5 Steps for Planning a Healthcare Artificial Intelligence Project

Artificial intelligence and machine learning are quickly overhauling the processes of researching, purchasing, and implemented IT tools in the healthcare industry.  With new breakthroughs announced almost every day and thousands of...

Faulkner Guides Epic Systems from EHR to Comprehensive Health Record

Epic Systems founder and CEO Judy Faulkner has a reputation for big ideas. And with some of the top health systems in the country among her customers and around two-thirds of patients owning a current Epic record, the company and its leader...

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...

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...

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...

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...

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...

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...

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...

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...

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...

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;...

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...

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...

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...

How to Get Started with a Population Health Management Program

Healthcare providers are well aware by now that there is no magic solution to the incredibly complex conundrum of systemic reform.  Depending on who you ask, the answer to the puzzle of the Triple Aim is either more technology, less...