National Disability Employment Awareness Month: Putting Accessibility into Practice

By Tammy Coutts (MEDITECH), Chair of the EHR Association Social Determinants of Health & Health Equity Task Force

Ability and disability exist on a spectrum, one that nearly everyone will find themselves on at some point in time. Ways in which limitations show up vary dramatically and can be permanent, temporary or sporadic in duration. That is why, when it comes to inclusive design, health IT software developers should focus more on empowering everyone to succeed and less narrowly on addressing specific disability challenges.

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Digital Health Equity: Harnessing Design Systems to Advance EHR Accessibility 

By Jennifer Sagerian (MEDITECH), Member, EHR Association User Experience Workgroup

For many, the pandemic shed light on issues related to web accessibility. Ninety percent of US adults said the internet was “essential” during the pandemic yet many people with disabilities were at a disadvantage; unable to schedule vaccines, communicate with their providers, and schedule appointments. Since then, web accessibility has become a high-priority social determinant of health (SDOH) – and a fundamental human right.  

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Disability Inclusion Part Two: Introducing Accessibility into Health IT Personas

By Tammy Coutts (MEDITECH), Vice Chair of the EHR Association User Experience Work Group, and Mike Shonty (MEDITECH), Member of the User Experience Work Group

In the first installment of this two-part blog series on disability inclusion, we discussed disability exclusion and why accessibility is important to EHRs. In this second blog, we look at the role of personas in supporting accessibility in EHRs.

Identifying ways health IT can be designed to support and advance disability inclusion across healthcare to the benefit of anyone requiring accommodation to fully and effectively participate in or navigate the healthcare system is an EHR Association priority. It is the focus of the Accessibility Personas Project, the latest initiative to come out of the Association’s User Experience Work Group. The project’s goal is to build awareness of the ways disability exclusion impacts health IT users – patients, providers, and other healthcare workers – and identify design solutions to eliminate the challenges. 

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Disability Inclusion Part One: What is Accessibility and Why It’s Important for EHRs

By Tammy Coutts (MEDITECH), Vice Chair of the EHR Association User Experience Work Group, and Mike Shonty (MEDITECH), Member of the User Experience Work Group

One in four Americans has a disability, whether temporary or permanent, including physical, mental, intellectual, or sensory impairments that hinder their full and effective participation in society on an equal basis with others. The EHR Association has long focused on identifying ways health IT can be leveraged to advance disability inclusion across healthcare benefitting not only patients but also providers and other healthcare workers requiring accommodation to fully and effectively participate in both the provision and receipt of healthcare. 

Most recently, the Association’s User Experience Work Group has turned its focus toward advancing disability inclusion with our latest project: building awareness of how disability exclusion impacts health IT users and identifying design solutions to eliminate the challenges. This includes expanding the Association’s Personas Library to include Accessibility Personas and potentially creating workflow scenarios.

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HTI-1 Falls Short with DSI and Predictive Decision Support Proposals

By David Bucciferro, Chair, EHR Association

In other installments of this five-part blog series on the EHR Association’s issues with ONC’s Health Data, Technology, and Interoperability: Certification Program Updates, Algorithm Transparency, and Information Sharing Proposed Rule (HTI-1), we discussed our overarching concerns, as well as concerns with the Insights Condition program, transition to USCDI v3, and Patient Requested Restrictions. In this installment, we examine the considerable issues we have identified with provisions related to Decision Support Interventions (DSI) and Predictive Models.

According to ONC, the existing scope and structure of the Health IT Certification Program are to enhance transparency around predictive decision support, with requirements to make transparent information regarding the authorship, bibliographic, and other kinds of “source attribute” information for evidence-based decision support and linked referential interventions. Noting that AI/ML in healthcare “is often best considered a form of decision support or ‘augmented intelligence’,” ONC says its goal with the proposed rule related to DSI and predictive models is to update the existing decision support criterion to directly include predictive decision support, inclusive of ML technologies.

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Barriers to the Creation of the Ideal Clinician Note

By Rakhal M. Reddy, MD MSHI ACHIP FACHE, EHR Association Liaison & Chair of the HIMSS Physician Committee

This is the fifth in a blog series highlighting the discussions from the 2022 EHRA & HIMSS Physician Committee Summit: Meaningful and Streamlined Documentation.

There is little doubt that documentation burden has been and will continue to be an evolving topic in healthcare and informatics over the next few years. The American Medical Association (AMA) has certainly made strides with coding guidelines that help decrease the burden of clinician notes becoming “data dumps” that capture every minute detail of a clinical encounter, regardless of that data’s relevance. Over the course of this series, we have examined the findings of our Summit’s discussion groups, which Dr. Brian Jacobs, Dani Nordin, and Dr. Bryan Bagdasian summarized.

The first breakout group was tasked with defining “The Ideal Note.” Dr. Jacobs shared the consensus opinion that notes should be concise, with information that is valued by all stakeholders. There was a desire to move towards APSO (Assessment, Plan, Subjective, Objective) notes to bring the most sought-after part of the notes to the forefront and avoid repetitive information. Essentially, the EHR does not need to be recreated in a clinical note, with every section representing data that resides elsewhere in the system. Finally, Dr. Jacobs summarized the individual and organizational barriers which put a spotlight on clinicians’ unfortunate perception of what an ideal note “should” look like (i.e. the more documented, the better) and “copy-forward” culture that bloats our notes.  

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