Free Hospital EMR and EHR Newsletter Want to receive the latest news on EMR, Meaningful Use, ARRA and Healthcare IT sent straight to your email? Join thousands of healthcare pros who subscribe to Hospital EMR and EHR for FREE!

Are We Going About Population Health The Wrong Way?

Posted on March 29, 2018 I Written By

Anne Zieger is veteran healthcare branding and communications expert with more than 25 years of industry experience. and her commentaries have appeared in dozens of international business publications, including Forbes, Business Week and Information Week. She has also worked extensively healthcare and health IT organizations, including several Fortune 500 companies. She can be reached at @ziegerhealth or www.ziegerhealthcare.com.

For most of us, the essence population health management is focusing on patients who have already experienced serious adverse health events. But what if that doesn’t work? At least one writer suggests that though it may seem counterintuitive, the best way to reduce needless admissions and other costly problems is to focus on patients identified by predictive health data rather than “gut feelings” or chasing frequent flyers.

Shantanu Phatakwala, managing director of research and development for Evolent Health, argues that focusing on particularly sick patients won’t reduce costs nearly as much as hospital leaders expect, as their assumptions don’t withstand statistical scrutiny.

Today, physicians and care management teams typically target patients with a standard set of characteristics, including recent acute events, signs of health and stability such as recent inpatient admissions and chronic conditions such as diabetes, COPD and heart disease. These metrics come from a treatment mindset rather than a predictive one, according to Phatakwala.

This approach may make sense intellectually, but in reality, it may not have the desired effect. “The reality is that patients who have already had major acute events tend to stabilize, and their future utilization is not as high,” he writes. Meanwhile, health leaders are missing the chance to prevent serious illness in an almost completely different cohort of patients.

To illustrate his point, he tells the story of a commercial entity managing 19,000 lives which began a population health management project. In the beginning, health leaders worked with the data science team, which identified 353 people whose behavior suggested that they were headed for trouble.

The entity then focused its efforts on 253 of the targeted cohort for short-term personal attention, including both personal goals (such as walking their daughter down the aisle at her wedding later that year) and health goals (such as losing 25 pounds). Care managers and nurses helped them develop plans to achieve these goals through self-management.

Meanwhile, the care team overrode data analytics recommendations regarding the remaining 100 patients and did not offer them specialized care interventions during the six-month program.  Lo and behold, care for the patients who didn’t get enrolled in health management programs cost 75% more than for patients who were targeted, at a total cost of $1.4 million. Whew!

None of this is to suggest that intuition is useless. However, this case illustrates the need for trusting data over intuition in some situations. As Phatakwala notes, this can call for a leap of faith, as on the surface it makes more sense to focus on patients who are already sick. But until clinicians feel comfortable working with predictive analytics data, health systems may never achieve the population health management results they seek, he contends. And he seems to have a good point.

Mayo Clinic Creating Souped-Up Extension Of MyChart

Posted on March 19, 2018 I Written By

Anne Zieger is veteran healthcare branding and communications expert with more than 25 years of industry experience. and her commentaries have appeared in dozens of international business publications, including Forbes, Business Week and Information Week. She has also worked extensively healthcare and health IT organizations, including several Fortune 500 companies. She can be reached at @ziegerhealth or www.ziegerhealthcare.com.

As you probably know, MyChart is Epic’s patient portal. As portals go, it’s serviceable, but it’s a pretty basic tool. I’ve used it, and I’ve been underwhelmed by what its standard offering can do.

Apparently, though, it has more potential than I thought. Mayo Clinic is working with Epic to offer a souped-up version of MyChart that offers a wide range of additional services to patients.

The new version integrates Epic’s MyChart Virtual Care – a telemedicine tool – with the standard MyChart mobile app and portal. In doing so, it’s following the steps of many other health systems, including Henry Ford Health System, Allegheny Health Network and Lakeland Health.

However, Mayo is going well beyond telemedicine. In addition to offering access to standard data such as test results, it’s going to use MyChart to deliver care plans and patient-facing content. The care plans will integrate physician-vetted health information and patient education content.

The care plans, which also bring Mayo care teams into the mix, provide step-by-step directions and support. This support includes decision guidance which can include previsit, midtreatment and post-visit planning.

The app can also send care notifications and based on data provided by patients and connected devices, adapt the care plan dynamically. The care plan engine includes special content for conditions like asthma, type II diabetes chronic obstructive heart failure, orthopedic surgery and hip/knee joint replacement.

Not surprisingly, Mayo seems to be targeting high-risk patients in the hopes that the new tools can help them improve their chronic disease self-management. As with many other standard interventions related to population health, the idea here is to catch patients with small problems before the problems blossom into issues requiring emergency department visit or hospitalization.

This whole thing looks pretty neat. I do have a few questions, though. How does the care team work with the MyChart interface, and how does that affect its workflow? What type of data, specifically, triggers changes in the care plan, and does the data also include historical information from Mayo’s EMR? Does Mayo use AI technology to support care plan adaptions? Does the portal allow clinicians to track a patient’s progress, or is Mayo assuming that if patients get high high-quality educational materials and personalized care plan that the results will just come?

Regardless, it’s good to see a health system taking a more aggressive approach than simply presenting patient health data via a portal and hoping that this information will motivate the patient to better manage their health. This seems like a much more sophisticated option.