To optimize EHR systems, maintain regular system maintenance, train users, streamline workflows, ensure data quality, communicate effectively, utilize vendor support, review systems regularly, and implement these strategies to improve efficiency and patient care.

In my experience building analytics solutions for mid-size practices, the key is not just optimizing the EHR itself but integrating it seamlessly with other tools and workflows. For instance, leveraging analytics platforms like Power BI to provide real-time insights directly from EHR data can empower teams to make faster, data-driven decisions. Additionally, custom low-code solutions can fill the gaps left by rigid EHR functionalities, creating smoother workflows and better user experiences.

Optimizing a slowing EHR system starts with streamlining workflows through automation and adopting innovative tools like multimodal scribes. These AI-driven solutions capture documentation seamlessly, even in complex environments, reducing the cognitive burden on clinicians. Drawing on my background in clinical education, Lean processes, and operational efficiency, I’d identify bottlenecks and implement tailored AI solutions. Automating repetitive tasks, such as order entry and documentation, would save time, enhance accuracy, and improve patient outcomes, making the system more efficient and sustainable.