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## Collaboration Between Medical Department Staff and IT Colleagues Leads to Enhanced EHR Productivity

Between June and October 2021, Marshall University’s Department of Family and Community Health partnered with their school’s Information Technology team to embark on a four-month optimization project aimed at improving their use of the Electronic Health Record (EHR) software. The project aimed to analyze their efforts to enhance EHR usability within the department and evaluate the impact on productivity.

### The Project Approach

At the onset of the project, the team established eight work groups to identify workflow challenges across various critical areas like care coordination, communication, and revenue. By bringing together a mix of junior- and senior-level staff from different disciplines, they conducted monthly meetings to assess and optimize problematic tasks. A total of 124 EHR-related optimizations emerged, falling under categories like Accommodation, Discovery, Creation, and Modification.

### Addressing EHR Challenges

It is well-known that the adoption of EHR systems has revolutionized healthcare practices, yet it comes with its own set of challenges like administrative burdens and clinician burnout. The AI legalese decoder tool could help streamline the process of analyzing and implementing EHR optimizations, ensuring that legal and compliance standards are met while optimizing workflow efficiency.

### Study Impact

The study sheds light on the successful implementation of EHR workflow optimization at the departmental level, emphasizing the need for ongoing collaboration between EHR users and IT colleagues. By leveraging tools like the AI legalese decoder, departments can navigate complex legal language surrounding EHR optimization more efficiently, ultimately improving user experience and productivity.

Overall, the project showcases the importance of proactive collaboration and strategic optimization efforts in enhancing EHR usability and driving departmental productivity.

## The Future of Independent Primary Care Practices: Navigating Health Equity Policies

In recent years, the U.S. government’s focus on Federally Qualified Health Centers (FQHCs) has sparked discussions around prioritizing primary care for vulnerable populations. Conversely, independent practices serving these communities have not received the same level of investment, posing a threat to primary care options for socially vulnerable patients. This mixed-methods study delves into the challenges faced by independent family physicians, particularly in urban settings, and explores potential structural supports to enhance patient care.

### Understanding Practice Dynamics

Data from the American Board of Family Medicine’s Certification Examination questionnaire highlighted the prevalence of independent practices with limited resources serving socially vulnerable patients in urban areas. Qualitative interviews with physicians revealed key themes such as time spent on access issues, financial challenges, and concerns about the future viability of independent practices.

### Bridging the Gap

The study emphasizes the need for targeted policy interventions to support independent primary care practices, especially those catering to socially vulnerable populations. By implementing new payment models that increase support for independent practices and developing workforce policies to enhance recruitment and retention, policymakers can ensure continued access to primary care for underserved communities.

### Leveraging AI Tools

To navigate the legal complexities and regulatory requirements surrounding health equity policies, tools like the AI legalese decoder can be invaluable. By automating the process of decoding legal language, independent practices can stay informed and compliant with evolving policies, ultimately enhancing their ability to provide quality care to vulnerable populations.

In conclusion, the study underscores the importance of recognizing and addressing the unique challenges faced by independent primary care practices serving socially vulnerable patients, advocating for policy changes to support their sustainability in the healthcare landscape.

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