Bring Your Own Device in Healthcare In today’s healthcare environment, more and more people are bringing their Wi-Fi devices into the hospital’s infrastructure. This presents a unique challenge to the hospital IT administrator. This paper discusses the challenges and solutions on how HP addresses the security and management of multiple Wi-Fi devices being introduced into the wireless/wired network.

Plenty of healthcare data, but what to do with it?

The proliferation of mobile medical devices means providers, payers and even patients are collecting more data than ever before. But do they know what to do with it?

[See also: FCC gives the green light to wireless medical devices ]

That was the focus of a panel discussion at last week's Institute for Health Technology Transformation summit in Seattle. Titled "Analytics in Healthcare: Leveraging Data for Organization-wide Improvements," the discussion focused on what's considered one of the hot topics in healthcare these days: Business intelligence.

That trend is being driven by payers, according to Lynn Dunbrack, program director for IDC Health Insights, the panel's moderator. Recent surveys, she said, have indicated that three-quarters of payers think analytics is vital, and more than half have a BI strategy in place. Conversely, she said, about 44 percent of providers see the value in analytics, and only 26 percent have a BI program in place.

[See also: 5 reasons medical device data is vital to the success of EHRs]

Big Data and Healthcare Analytics Forum June 4-5 Washington

Thomas Yackel, MD, an associate professor at Oregon Health Science University and chief health information officer at OHSU Healthcare, said data analysis is underappreciated at the provider level. While OHSU Healthcare may have been the first hospital in Oregon to attest for meaningful use, he said, "a lot of people don't know what (BI) is."

"We're building our own data warehouse now, but (in seeking funding for the project), we were behind people who wanted to put new carpet in waiting rooms," he said.

Steve Barlow, CIO and co-founder of Healthcare Quality Catalyst, a Salt Lake City-based developer of quality improvement solutions, said he helped launch a national data warehousing association in the '90s while at Intermountain Healthcare. "We've been at this for two decades-plus and we're still not making progress," he said.

But data analytics and business intelligence are showing up on the radar, the panelists said. With healthcare reform poised to make accountable care and improved clinical outcomes more vital, payers – and, eventually, providers – will see the value in taking collected data, analyzing it and drawing conclusions to affect future decision-making. Payers will use it to drive population-based outcomes, like preventive healthcare and wellness programs, and to justify healthcare expenses, while providers will see its value in improving clinical outcomes and reducing waste and re-admissions.

To do that, however, they need to get beyond the simple act of collecting data.

"It's not about just putting the data in there – it's about engaging in a conversation about that data," said Yackel.

Previous
1

Showing 2 Comments

Karl Walter Keirstead say: Business Intelligence

I don't agree with " taking collected data, analyzing it and drawing conclusions to affect future decision-making. ..... providers will see its value in improving clinical outcomes and reducing waste and re-admissions".

The time horizon of providers is such that they want data for real-time decision making, not for long-term outcomes research.

The way to improve clinical outcomes is to use data to make decisions in real-time, at the individual patient encounter level, not via cross-patient analysis after the fact.

It's important to point out for those who want BI, that they need to put information into KnowledgeBases if they want to use it, not in traditional Data Warehouses. Traditional Data Warehouses are relational databases, great for running queries and generating statistical/tabular reports but not so great for 'connect-the-dots' work. Nothing wrong of course with consolidating transaction level patient encounter data to both a Data Warehouse and to a KnowledgeBase.

Elegant solutions to the wrong problem are usually worse than no solution at all.

Larry Chaityn say: Leveraging Data

Consumer Brands have been effectively leveraging data for years. Insights have been garnered, brand lines extended and new products launched. Companies like Coach, Google & Amazon are at the top of their respective peer groups in their levering consumer data.
So too, can healthcare payers, providers and life science companies leverage patient data. Uses for data include; helping Life Science companies directly plug in to any disease demographic, to find locations with the largest target patient populations and to recruit those patients for clinical trials, as well as tracking the safety and efficacy of a treatment through automated adverse events reporting.

Payers are able to reduce costs by eliminating duplicate tests, and the most successful payers will be those that continually engage their customers through product design and nimbly capitalize on emerging capabilities based on using data to spot trends.

Larry Chaityn is Head of Global Healthcare Investment Banking at Kaminski Partners.
lchaityn@kaminskipartners.com