At HIMSS17, unlock the power of your data

"Data is the currency of the next century," says Brian Ahier. And nowhere are health data and data management processes discussed, analyzed and examined more than at the annual HIMSS Annual Conference and Exhibition.
By Brian Ahier
01:59 PM
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"The best way to think about data is to picture it as the middle layer in a three-part hierarchy that depicts the climb between care delivery and customer engagement," according to Cain Brothers.

I have a confession to make: I am a data geek. I love the clear and precise nature of data. Data are foundational to everything. Properly organized data become the building blocks for information, which leads to knowledge and ultimately, wisdom. Medicine is a data rich science, with both structured and unstructured data of a variety of types. If you are a data geek like me then health care should be in your sweet spot.

And nowhere are health data and data management processes discussed, analyzed and examined more than at the annual HIMSS conference. However, gathering and aggregating these data, even as discrete elements, is of limited value if they can not be shared. Interoperability is required to really make use of these data and a business model that considers hoarding data to be some sort of advantage is doomed to fail. Data longs to be free.

True interoperability
Interoperability is a hot topic in health care right now, and we are sure to see it come into focus at HIMSS17. Interoperability between systems and platforms helps improve performance and helps ensure the right data, at the right time, is where and when it is needed to provide the best possible care. Nationwide interoperability is expected from the U.S. Congress, based on the MACRA Law as well as the 21st Century Cures Act.

The entire health care industry, including providers, payers, vendors, policy makers and patients, have come to understand the critical need for interoperability to succeed in a transformed health system that pays for value and outcomes rather than procedures or number of visits. A physician friend of mine puts it like this: "I want to get paid for what I do for my patients not what I do to them," she says. "But I can't manage what I can't measure, and gaps in data lead to gaps in care."

There are a number of initiatives and coalitions attempting to address this need; the Sequoia Project (with the eHealth Exchange and Carequality), the Commonwell Health Alliance, and DirectTrust, just to name a few. These are all admirable and successful efforts (disclosure: I am on the Board of Directors for both DirectTrust and the Sequoia Project).

However, once standards-based exchange is achieved then it is the use of these data that becomes the key focus. Interoperability is the ability of computer systems or software to exchange and make use of information. Simply transferring bits and bytes around is not the end of the story, but only the beginning. Most exchange today centers around transactional data, but patients should be the focus, not transactions.

Of course peer-to-peer connectivity using industry standards do help systems to be interoperable, providing possibilities for improved care, and yet clinicians still have gaps in care as the data picture is often incomplete.

There is also the problem of electronic health record fatigue from having to click through too many screens, which can lead to burnout and further damage the care process. It takes a robust clinical data network to provide a full longitudinal care record, and a well-designed user interface to make workflow adjustments seamless. Extending network reach by getting the data clinicians need more quickly and efficiently will help to solve for some of these issues.

With a powerful network clinicians can focus on the latest, consolidated clinical data which are relevant to a specific encounter. By injecting concise clinical views into workflows more quickly, clinicians are able to spend more time caring and less time searching. Cain Brothers consider data in their Healthcare Success Hierarchy (see image above) and state, "The best way to think about data is to picture it as the middle layer in a three-part hierarchy that depicts the climb between care delivery and customer engagement."

Data storage today is almost boundless and very inexpensive. Hard drive capacity has increased 250,000 times over the past 60 years, while the cost per MB has dropped more than 99.99 percent. My smartphone has way more data storage capacity than my first computer did 30 years ago. With cheap, ubiquitous data, we are aggregating massive data repositories, creating what many people call "big data."

These data are valuable, but only if they can be combined and analyzed in ways that provide actionable insights. Today's search algorithms can find targeted data almost instantaneously, identifying patterns and building a foundation for analytics tools that collate, assess, interpret and visualize data and bring meaning to unstructured information. These tools, when used intelligently, foster informed decision-making.

Data is the currency of the next century
As the movement towards value based care continues to accelerate, the value of your data asset increases. As I have said - data is the currency of the next century. Others have drawn an analogy to energy calling data the electricity of our generation. Any way you look at it, data is right in the midst of health reform and innovation.

I agree with Andy Slavitt, former head of CMS, and Vndell Washington, MD, former National Coordinator for Health Information Technology, when they wrote in Health Affairs that data are "the lifeblood of the value-based payment environment,” and they identified the elements needed to “ensure a data-rich, patient-centered, and value-based health care system."

In the real world, data is often dirty and messy: using incorrect or overly complex terminology, values with incorrect units and no interpretation, or unstructured data which is difficult to parse. Therefore, data normalization is an important concept to keep in mind. Normalization occurs by organizing data such that we reduce data redundancy and improve data integrity. Clean "good" data obviously has greater value. We look at the value of a strategic data asset in three tiers:

  • Data has value
  • Organized data has increased value
  • Organized and normalized data has exponential value

Scott Fowler, MD the CEO of Holston Medical Group, wrote recently that collaboration is the best way to speed problem-solving and  work toward achieving the Triple Aim – and that open platforms are key to enabling that.

He is exactly right. The old way of thinking is not going to work in a transformed health system. This is important work, for the economic security of our country, but most importantly for the health and wellness of those we love. No one company or person can solve this alone. It is only by working together that we can fix our broken health care system. But together, we can do this.

HIMSS17 runs from Feb. 19-23, 2017 at the Orange County Convention Center.


This article is part of our ongoing coverage of HIMSS17. Visit Destination HIMSS17 for previews, reporting live from the show floor and after the conference.


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