IT Forefront

The latest on health care technology and digital-enabled strategy

How did Eisenhower Health cut no-show rates by more than 66%? (Hint: Text messages).

by Stephanie Estevez and Andrew Rebhan January 14, 2020

Similar to providers across the nation, cutting no-shows has been a priority for Eisenhower due to the loss in revenue from missed appointments. Providers implement a number of tactics for reducing their no-show rate, but text-based appointment reminder systems have grown in popularity. While the best reminder strategy may vary according to an organization's needs and resources, a recent study from the Advisory Board's Medical Group Strategy Council found that text message reminders are more effective at preventing patient no-shows, compared to phone and email reminders (see chart below). The success of text messages may be attributed to several factors, including its less invasive and disruptive nature relative to phone calls.

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How Apple's Research app offers improvements over traditional research studies

by Jordan Angers and John League January 3, 2020

Apple has partnered with several academic and health care organizations on three new health studies that deploy the Apple Research app. The goal of the studies is to make large volumes of data accessible to researchers in real time. The Research app and these studies build off of Apple's 2015 ResearchKit—Apple's first venture into using its products to feed medical research.

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The 7 habits of highly effective CIOs

Andrew Rebhan , Mark Hetz December 17, 2019

Dr. Stephen R. Covey was a self-help and management guru most known for his book The 7 Habits of Highly Effective People. In this blog, we list each of the seven habits as Covey defined them, and then identify ways that IT leaders can apply these habits, based on input from leaders in the field.

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So you've implemented 2015 Edition CEHRT, now what?

by Ye Hoffman and Camille Bridger December 3, 2019

This year was a big year—2019 was the first year that 2015 Edition CEHRT was required across several CMS programs, including the Promoting Interoperability (PI) program and the Merit-based Incentive Payment System (MIPS) program. As IT leaders, you were responsible for the implementation of 2015 Edition CEHRT. With multiple stakeholders and many moving parts, this has been a difficult task, and many organizations are still in the process of optimizing their systems.

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How—and why—health organizations are using synthetic health care data

by Kirsta Hackmeier and Andrew Rebhan November 19, 2019

Having access to comprehensive patient data is necessary for the advancement of health care in general, and digital health in particular. However, health care organizations have struggled to acquire and manage the volume and variety of data that is available today. "Synthetic" health data is helping to fill the gaps to promote health research and app development.

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Philanthropy's a big growth driver for health systems—but IT can make it better. Here's how.

John League November 5, 2019

Philanthropy can be a significant driver of growth for hospitals and health systems, sometimes contributing 20% or more of net income. But without access to data and digital tools, fundraising teams struggle to connect with donors. IT leaders are uniquely positioned to help health care philanthropy achieve its potential to support hospitals' and systems' mission.

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What CPC+ tells us about IT's role in care transformation: Don't overlook the basics

by Jessie Goldman and Julia Connell October 22, 2019

Earlier this year, Mathematica Policy Research, a third-party firm hired by CMS to evaluate the Comprehensive Primary Care Plus (CPC+) program, released its first annual program report. CPC+, introduced by CMS in 2016, is a medical home payment model designed to improve primary care delivery.

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Beyond technology: How behavioral psychology and design thinking can help your patients change their behavior (and stick to it)

Andrew Rebhan October 8, 2019

Health care stakeholders need to rethink how they develop IT-enabled patient engagement strategies, particularly for chronic disease management. Currently, IT leaders are focused on unifying multiple technologies to aggregate and analyze various sources of patient data. Applying an analytics layer (e.g., classification and segmentation algorithms) to these data sources allows health providers to develop risk scores and stratify patient populations across multiple dimensions, such as age, chronic illnesses, online activity preferences, health-related behaviors, etc. This data-driven insight makes it possible to offer more effective interventions and customized content across the care continuum.

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