Medalogix Pulse Transitions

Improving Pulse Clinician Efficiency with AI-Powered Summaries

Home health clinicians must monitor patient hospitalization risks across multiple visits when evaluating hospice eligibility. We utilized Generative AI to analyze recent visits and generate concise summaries of key indicators. Previously, they could only review one visit at a time, making it challenging to identify trends and document summaries efficiently. With their demanding schedules, a more streamlined solution was essential.

Challenges

The hospitalization risk chart required clinicians to manually track and interpret trends over multiple visits.
Reviewing visit notes and summarizing findings was tedious and time-consuming.
Clinicians could only view one visit at a time, making trend analysis cumbersome.
Due to the demanding nature of their work, clinicians had limited time to document summaries effectively.

The original hospitalization risk required multiple clicks to view each visit, making the process time-consuming.

Solutions

Integrated ChatGPT to analyze the last five visit notes and generate a concise summary.
Logged key events throughout visits and mapped them against hospice appropriateness indicators.
Used visual highlights to indicate events qualifying for hospice consideration.
Provided direct links to indicators, allowing clinicians to quickly reference relevant visit details.

Outcomes

Time savings: Reduced manual effort required to track patient risk trends.
Improved efficiency: Clinicians could quickly access AI-generated summaries instead of reading multiple visit notes.
Enhanced decision-making: Clear visual indicators and linked references enabled more informed patient assessments.
Reduced cognitive load: Allowed clinicians to focus on patient care rather than administrative tasks.