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On Seeing the Future of Health IT for Myself

SAN FRANCISCO — EHRs are everywhere … no, wait, you already know that. What’s more elusive, though, is exactly what the next generation of health IT will look like. But I caught a glimpse last week at the Healthcare IT News Big Data and Healthcare Analytics Forum.

The usual suspects were on hand: population health and precision medicine, predictive and prescriptive analytics, even natural language processing and, not coincidentally, big data itself.

Some new-ish faces showed up as well. Artificial intelligence, cognitive clinical science and machine learning, for instance, and then there was “targeted learning” a fresh idea for many in healthcare brought to the conference by Maya Petersen, MD, an associate professor of biostatistics and epidemiology at the UC Berkeley School of Public Health.

Petersen described targeted learning as encompassing machine learning and inferential theory to both understand complex relations within data sets and quantify the reliability of results, thereby ultimately yielding actionable insights.


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Predictive Analytics May Save Healthcare Budgets 15%, Survey Finds

Ninety-three percent of healthcare provider and payer executives agree predictive analytics are important to the future of their business, according to a Society of Actuaries report.

For the “Predictive Analytics in Healthcare Trend Forecast” report, the Society of Actuaries surveyed 223 healthcare provider and payer executives about trends in the industry.

Here are five survey insights.

1. Almost half (47 percent) of providers already use predictive analytics. Four percent of providers said they had no plans to use predictive analytics in the future, while 8 percent were unsure.

2. The majority (57 percent) of provider and payer executives expected predictive analytics to save their organization 15 percent or more over the next five years.

3. The No. 1 challenge to implementing predictive analytics is lack of budget (16 percent), followed by regulatory issues (13 percent), according to respondents.

4. The majority of providers said the most valuable outcome to predict using analytics is patient satisfaction (53 percent), followed by hospital readmissions (48 percent).

5. The plurality (20 percent) of respondents said the next step to implementing predictive analytics capabilities is to refine data collection methods to increase security.

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It’s Time for Prescribing Leadership in Healthcare

The healthcare industry has been charged with making significant changes in the last few years. From value-based care, to population health and now precision medicine. Unfortunately, many hospital systems will not be successful due to the need for better leadership.

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C-suite Buy-in: What Data-Driven Healthcare Orgs Have in Common

SAN FRANCISCO — Though it can be difficult to quantify just when a health organization has embraced analytics, but you usually can tell when its executives are engaged with the data.

“They’re excited about providing solutions to improve quality measures, improve patient outcomes,” said Joycee Berin, director of business intelligence at UCLA Health, at the Big Data and Healthcare Analytics Forum on Tuesday. “If that’s at the leadership level, I feel we’ve reached analytics maturity.”

In contrast, some in the C-suite may be stuck in old ways of thinking. They either “don’t think analytics is that important,” or else they’re “not engaged with following through on the insights and making sure we improve workflows to gain that better performance based on data insights,” she said.


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Putting the Precision into Precision Medicine

I was invited to speak at Oxford Global’s inaugural Precision Medicine Congress, April 25 and 26 in London, England. My topic, “Big Data Analytics for Precision Medicine”, stood out from the other presentations, as intended, since I was one of few non-clinicians or genomics scientists invited to speak at the Congress but believe that as I professor and data scientist I was able to hold my own. As an added bonus, I had to pleasure to meet a ‘Sir’ and a ‘Dame’, which are knighthood titles bestowed on extraordinary subjects, in recognition of their great achievement or outstanding service to the United Kingdom. Both worked in the healthcare industry either in the public or private sectors.

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5 thoughts on the future of healthcare from Cleveland Clinic CEO Dr. Toby Cosgrove

When Delos “Toby” Cosgrove, MD, president and CEO of Cleveland Clinic, was a high school junior, his father took him to visit a family friend who was a college professor.

“Naturally, the conversation turned into, ‘What do we need to do to get Toby into college,'” Dr. Cosgrove told the audience during a keynote at Becker’s Hospital Review’s 8th Annual Meeting in Chicago. Rhoda Weiss, PhD, speaker, author, consultant and co-chair of the meeting, moderated the conversation. The professor said he was not interested in Dr. Cosgrove’s IQ, but rather his GQ —  a term that neither Dr. Cosgrove nor his father had heard before.

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Prescribing Leadership: How Can Leaders Better Prepare for The Dynamic World of Healthcare?

When most people think about the challenges of implementing healthcare analytics, they wrongly expect it to be the data, talent or technology.

In a recent study, leadership was actually identified by participants as the top challenge. Unfortunately, the skills that made healthcare leaders successful in the past may not be enough to be successful in the future.

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4 Questions With Rush CIO Dr. Shafiq Rab

Dr. Shafiq Rab, CIO of Rush University Medical Center in Chicago, uses his background in public health to inform his IT vision.

Dr. Rab, who completed his medical degree and internal medicine residency at Karachi, Pakistan-based Dow Medical College, had his interest in public health piqued during one of his first physician jobs. While treating an urban squatters settlement in Pakistan, he worked with non-governmental organizations to address the infant mortality rate, mainly by bringing clean drinking water to its residents.

Read more at Becker’s Health IT & CIO Review

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Please join me at my leadership presentation for this conference.


MAY 15-16, 2017

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5 Must-Haves for Effective Analytics in Clinical Decision-Making

In healthcare, data is king. Clinicians rely on data to make informed decisions at the point-of-care and ultimately propel patients’ health forward. However, the wealth of unstructured data captured by IT systems in hospitals may prove fruitless if physicians can’t use it to inform care decisions in real time. Analytics must be straightforward, easily digestible and accessible to help physicians personalize and improve patient care planning.

Read More at Becker’s Health IT & CIO Review


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