The Challenge
James French, an Emergency Physician at AHMS Medical - a large academic Emergency Department and Level 1 Trauma center in Canada- faced several, significant challenges before integrating Lindy AI into his medical practice:
- Legibility Concerns: Medical reports were plagued with legibility issues due to data accuracy. This is a consistent concern for all healthcare professionals and a main driver for wanting to improve patient medical documentation legibility.
- Time Constraints: Medical systems were becoming busier, more sophisticated and more labor intensive. James' manual workload became increasingly time-consuming, adding hours of additional work per week.
- Information Complexity: Capturing intricate information became increasingly more challenging for James over his 20 years of practice.
- Legal Concerns: Fear of litigation due to inadequate patient documentation heightened legal concerns for James.
Goals for Using Lindy AI Medical Scribe
James aimed to address these challenges and achieve substantial results:
- Time Efficiency: Saving time spent on manual documentation and charting.
James saves 90 minutes to 2 hours per day on manual patient notes and updates his EMR, despite it being outdated and previously consuming a lot of his time between and after patients.
- Information Precision: Enhancing accuracy and depth of medical records.
James has reportedly improved the quality of his medical records by 80% and is known around the clinic to have the most thorough patient notes.
- Detail Preservation: Retaining the depth of conversations is often lost in written records.
James often refers back to the transcript to ensure 100% accuracy of his records.
- Risk Mitigation: Reducing the vulnerability to legal threats by ensuring thorough documentation.
Hear what James had to say about Lindy
James French underscored the pivotal role of Lindy AI in modernizing medical workflows:
"Anyone in the medical field needs to learn how to use Artificial Intelligence. These systems are helping us keep up to date and Lindy is the first system that should be integrated into your workflow."
The Solution
Lindy AI seamlessly integrated into James's medical workflow:
- EMR Updates: James uses Lindy via his phone to record and transcribe the patient visit, improving an otherwise cumbersome EMR.
- Education Management: Lindy helped James in reviewing medical student presentations and set reminders for educational reviews.
- Adaptation and Learning: James iterated on the templates and customized them based on his specific use cases. This included sending emails to medical students after their presentations, emailing himself a reminder and calculating evidence based scores using the WELLS criteria, etc.
The Results
- Quantitative Benefits: James saved a significant 15-20% of manual work time and increased data detail and residual value by a remarkable 80%.
- Qualitative Benefits: Transformative effects on patient care, impressing subsequent readers of medical notes, and massively impacting downstream effects.
- Adaptive Functionality: Customizable risk instrument calculations and accurate transcriptions.
