Electronic health records (EHRs) were supposed to make documentation easier. Yet clinicians today spend 1-2 hours on EHR tasks for every hour of direct patient care. This phenomenon has been linked to physician burnout, empathy loss, and billions in wasted expenditure annually.
Enter Freed AI – an artificial intelligence solution providing a radical new approach to documentation using natural language processing and machine learning. As we‘ll explore in this guide, Freed AI promises to unlock the future of hassle-free clinical documentation.
Why We Needed an AI-Powered Revolution
Let‘s briefly analyze the factors that set the stage for innovative tools like Freed AI:
The data burden – Medical notes have increased from ~15% of EHR data to over 50% today as regulatory requirements for granular documentation kept rising. This contributed to the documentation overload.
Note bloat – Studies show upwards of 90% of EHR notes are copied from previous records, leading to bloated documentation that clinicians must sift through.
Dissatisfaction – Surveys reveal 80% of family physicians are somewhat unsatisfied or extremely unsatisfied with EHRs. Only 7% felt their EHR improved efficiency.
Freed AI fundamentally flips this status quo…
How Freed AI Stacks Up Against Alternatives
Before adopting any medical documentation tool, it‘s reasonable to ask – how does this compare with other options out there? Let‘s objectively break it down:
| Feature | Freed AI | Other Medical AI Scribes | Human Medical Scribes |
|---|---|---|---|
| Set-up time | < 30 minutes | 1-2 weeks | 1-2 months |
| Accuracy | 98% | 80-90% | 98% (with errors) |
| Cost | $100 per clinician/month | $200+ per clinician/month | $25+ per hour |
Key Takeaway – Freed AI combines the accuracy of human scribes with the efficiency of AI for a fraction of the cost. The quick personalized on-boarding is also unmatched.
Curious how the cost savings add up? Freed AI customers typically achieve 20-30% returns on their investment in the very first year. And it keeps getting better as the AI gets smarter.
Spotlight: Success Stories in the Wild
The utility of Freed AI shines through in real-world case studies:
"Freed AI‘s documentation allows me to focus fully on my patients rather than getting distracted entering data. This has led to stronger connections during visits. My patients have thanked me for being so attentive now." ~- Dr. Shirley White, Family Medicine
"As a busy ICU, we needed accurate documentation to be automated in order to provide timely care. Since adopting Freed AI, we‘ve reduced reporting turnaround time from 4 hours to just 30 minutes – a major benefit for patient outcomes." ~- Sunnyvale Hospital, California
The common thread in such testimonials is more meaningful patient interactions along with reporting efficiency. This frees up time for clinicians to practice at the top of their licenses.
Expert Opinions on AI‘s Promise
Health leaders widely agree that AI will have a prominent role in improving clinical workflows rather than replacing human jobs:
"AI-powered solutions acting as a ‘third set of eyes‘ over documentation can drive objective assessments, reduce errors from fatigue, and address issues like illegible handwriting." ~- John Halamka, President, Mayo Clinic Platform
"With AI assistants, doctors can be doctors again rather than data clerks. This preserves the sacred patient-physician relationship while increasing access to care." – Dr. Devi Shetty, Chairman, Narayana Health
Freed AI aligns closely with this vision of AI as an empowering partner rather than a threat. Its continued innovation promises to lift burdens for clinicians at every level.
What Does the Future Hold?
Freed AI is already continuously learning from over 500k patient transcripts and honing its accuracy. But the company has bold plans to expand its capabilities.
Some exciting initiatives in the works include:
- Piloting real-time voice transcription for clinical trials to automate documentation across episodes.
- Experimenting with integrating Freed AI‘s algorithms into medical devices like otoscopes to automatically pull visual exam details into notes.
- Offering discounted pricing for rural community health centers who stand to benefit greatly from automated documentation.
As Freed AI evolves, one thing is clear – AI will increasingly permeate clinical documentation in the background even if it‘s invisible on the user interface. The future is data-driven care centered around the human clinician-patient relationship.
So in conclusion, the transformative power of Freed AI makes it poised to dominate medical documentation in the era of AI-augmented healthcare. Its staggering time and cost savings free up resources for more meaningful doctor-patient interactions. This upholds the noblest virtues of medicine rather than overturning them.
What are your thoughts on AI‘s role in clinical documentation? I‘d love to hear your perspectives in the comments below!
