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Supercharged Wearables Are On The Horizon

Posted on January 3, 2018 I Written By

Anne Zieger is veteran healthcare consultant and analyst with 20 years of industry experience. Zieger formerly served as editor-in-chief of FierceHealthcare.com and her commentaries have appeared in dozens of international business publications, including Forbes, Business Week and Information Week. She has also contributed content to hundreds of healthcare and health IT organizations, including several Fortune 500 companies. Contact her at @ziegerhealth on Twitter or visit her site at Zieger Healthcare.

Over the last several years, the healthcare industry has been engaged in a rollicking debate over the value of patient-generated health data. Critics say that it’s too soon to decide whether such tools can really add value to medical care, while fans suggest it’s high time to make use of this information.

That’s all fine, but to me, this discussion no longer matters. We are past the question of whether consumer wearables data helps clinicians, which, in their current state, are under-regulated and underpowered. We’re moving on to profoundly more-capable devices that will make the current generation look like toys.

Today, tech giants are working on next-generation devices which will perform more sophisticated tracking and solve more targeted problems. Clinicians, take note of the following news items, which come from The New York Times:

  • Amazon recently invested in Grail, a cancer-detection start-up which raised more than $900 million
  • Apple acquired Beddit, which makes sleep-tracking technology
  • Alphabet acquired Senosis Health, which develops apps that use smartphone sensors to monitor health signals

And the action isn’t limited to acquisitions — tech giants are also getting serious about creating their own products internally. For example, Alphabet’s research unit, Verily Life Sciences, is developing new tools to collect and analyze health data.

Recently, it introduced a health research device, the Verily Study Watch, which has sensors that can collect data on heart rate, gait and skin temperature. That might not be so exciting on its own, but the associated research program is intriguing.

Verily is using the watch to conduct a study called Project Baseline. The study will follow about 10,000 volunteers, who will also be asked to use sleep sensors at night, and also agreed to blood, genetic and mental health tests. Verily will use data analytics and machine learning to gather a more-detailed picture of how cancer progresses.

I could go on, but I’m sure you get the point. We are not looking at your father’s wearables anymore — we’re looking at devices that can change how disease is detected and perhaps even treated dramatically.

Sure, the Fitbits of the world aren’t likely to go away, and some organizations will remain interested in integrating such data into the big data stores. But given what the tech giants are doing, the first generation of plain-vanilla devices will soon end up in the junk heap of medical history.

What’s Involved In Getting To EHR 2.0?

Posted on September 22, 2017 I Written By

Anne Zieger is veteran healthcare consultant and analyst with 20 years of industry experience. Zieger formerly served as editor-in-chief of FierceHealthcare.com and her commentaries have appeared in dozens of international business publications, including Forbes, Business Week and Information Week. She has also contributed content to hundreds of healthcare and health IT organizations, including several Fortune 500 companies. Contact her at @ziegerhealth on Twitter or visit her site at Zieger Healthcare.

While the current crop of EHRs have (arguably) served a useful purpose, I think we’d all agree that there’s a ton of room for improvement. The question is, what will it take to move EHRs forward?

Certainly, we face some significant obstacles to progress.

There are environmental factors in play, such as reimbursement issues.

There’s the question of what providers will do with existing EHR infrastructure, which has cost them tens or even hundreds of millions of dollars if next-gen EHRs call for a new technical approach.

Then, of course, there’s the challenge of making the darn things usable by real, human clinicians. So far, we simply haven’t gotten anything that solves that issue yet.

That doesn’t mean people aren’t considering the issue, however. One health IT leader that’s stepped up to the plate is Dr. John Halamka, chief information officer of the Beth Israel Deaconess Medical Center and CIO and dean for technology at Harvard Medical School.

In his Life As Healthcare CIO, Halamka lays out the changes he sees as driving the shift to EHR 2.0. Here are some of his main points:

  • Regulators are shifting their focus from prescribing certain types of EHR functionality to looking at results technology achieves. This supports the healthcare industry’s movement from a data recording focus to an outcomes focus.
  • With doctors being pulled in too many directions, it will take teams to maintain patient health, this calls for a new generation of communication and groupware tools. These tools should include workflow integration, rules-based escalation messages, and routing based on time of day, location, schedules, urgency, and licensure.
  • With value-based purchasing gradually becoming the norm, EHRs need new capabilities. These should include the ability to document care plans and variation from those plans, along with outcomes reported from patient-generated healthcare data. Eventually, this will mean the dawn of the Care Management Medical Record, which enrolls patients and protocols based on their condition then ensures that patients get recommended services.
  • EHRs must be more usable. To accomplish this, it’s helpful to think of EHRs as platforms upon which entrepreneurs can create add-on functionality, along the lines of apps that rest on top of mobile operating systems.
  • Next-gen EHRs need to become more consumer-driven, making patients an equal member of the care team. Although existing EHR models do have patient portals, they aren’t robust enough to connect patients fully with their care, and they don’t include tools helping patients navigate their care system.

As far as I can tell, Dr. Halamka has covered the majority of issues we need to address in transitioning to new EHR models. I was also interested to learn that regulatory bodies have begun to “get it” about the limitations of demanding certain functions be included in an EHR system.

I’m still left with one question, however. How does interoperability fit into this picture? Can we even get to the next generation of EHRs without answering the question of how they share data between one another? To me, it’s clear that the answer is no, we can’t leave this issue aside.

Other than that, though, I found Dr. Halamka’s analysis to be fairly comforting. Nothing he’s described is out of reach, unless, of course, vendors won’t cooperate. I think that as providers reach the conclusions he has, they’ll demand the kind of functionality he’s outlined, and vendors will have no choice but to pony up. In other words, there might actually be light at the end of the EHR tunnel.