For most clinicians, spending patient visits reviewing health history and typing EHR notes is an all-too-familiar experience. Even with the best intentions, documentation requirements leave too little time to focus entirely on patients. And follow-up notes require spending evenings finishing charts from hours ago.
Now, imagine exiting a patient’s room with your clinical note already complete. Similarly to having a scribe, you can focus on your patient while an AI solution captures the visit in real-time. What sounds too good to be true already exists for clinicians using newly developed AI documentation technology.
Note-taking platforms like Expert AI are reducing clinicians’ administrative burden, improving the patient experience and ensuring more accurate documentation.
A clinician-designed note-taking solution
Expert AI was developed by Jinit Shah, NPC, a family nurse practitioner in Farmington Hills, Michigan, who saw firsthand how poor documentation can put both care and clinicians at risk. “The challenge we found was that charting either didn’t happen on time, or didn’t include everything that was said. That’s a huge liability,” says Shah.
After practicing medicine in India and retraining as a nurse practitioner in the United States, Shah and his wife opened their family practice. Over time, he became frustrated by the tedious, costly bottleneck that documentation has become for clinicians.
Shah was determined to build a solution only a healthcare insider could imagine. He worked with developers to turn his concept into an AI-powered assistant that listens to clinician-patient conversations and generates notes accurately and instantly.
How real-time AI documentation works
The HIPAA-compliant Expert AI platform passively listens to the conversation between clinician and patient in order to generate a complete, structured SOAP note in real time.
The platform works on any microphone-enabled device, like a phone or tablet. As the visit progresses, the AI categorizes information into appropriate sections such as:
- Chief complaint
- History of present illness (HPI)
- Review of systems (ROS)
- Assessment
- Plan
Before finalizing the note, clinicians can review the raw transcript, make any changes and regenerate the note for accuracy. Users are less likely to take time doing post-visit charting. Not only does this save time, but real-time, automated charting ensures all details are more likely to be included.
“Our notes are done as soon as the visit ends,” says Shah.
More time with patients, less time charting
AI documentation solves the administrative burden that’s become one of medicine’s biggest pain points. Overworked clinicians spend too much time charting, while patients are frustrated by the lack of personal attention and eye contact during appointments.
“Patients constantly complain their provider spent the whole time staring at a screen,” Shah says. “Now, clinicians can look directly at the patient. They’re not typing while listening. They’re present.”
Another challenge for patients is information overload during visits. Automated charting software like Expert AI can send visit summaries and instructions right after a visit.
More accurate notes reduce risk
Besides creating a better patient and clinician experience, AI support for documentation improves accuracy by reducing human error and streamlining redundancy. For example, Expert AI addresses common malpractice risks, like inconsistent charting or undocumented clinical reasoning.
This benefits patient health and demonstrates that clinicians are following the standard of practice. Accurate notes are essential in the case of a malpractice lawsuit.
“A significant malpractice issue occurs when a clinician follows the standard of practice at the time of an encounter but fails to document it. If it’s not documented, it didn’t happen,” says Shah.
Eliminating hallucinations
To build trust and minimize AI hallucination risks, the Expert AI model was trained using manually validated transcripts. Every detail was matched against live audio and checked for both content and placement.
“Our accuracy rate is 99.4% because we started with real clinicians and transcriptionists verifying every piece,” says Shah.
While the model now runs autonomously, users retain full control to review, edit or regenerate notes before finalizing.
Shah hopes to see his platform improve documentation for clinicians and patients nationwide, starting with the patients in his Michigan clinic. “We’re not just tech people. We’re healthcare providers who understand documentation, privacy and billing. That’s why our system includes features others miss, like encrypted patient emails and true EHR integration,” he says.
While Automated AI charting is new to healthcare, its impact is only beginning. Shah says it’s only a matter of time before the technology can also automate medical billing and other ancillary services.
“Our whole goal is to make this process smoother for clinicians, so they can do what they went to school for, which is taking care of patients,” he says.
What to consider when choosing an AI note-taking assistant
If you’re exploring an AI documentation tool, here are key questions to ask to ensure you choose a solution that supports clinical care, reduces liability and integrates smoothly into your workflow:
- Was it designed by clinicians?
Look for tools built with real clinical input, not just AI tech platforms adapted for healthcare.
- How accurate is it, and how is accuracy validated?
Look for platforms with proven accuracy scores and manual validation during model training.
- Is it HIPAA-compliant and secure?
Ensure the tool uses encrypted data storage, secure patient communication and doesn’t violate privacy protocols.
- Does it integrate with your EHR?
Seamless integration helps you avoid having to manually transfer the documentation into your EHR.
- Is it multilingual and adaptable to your practice setting?
Multilingual support and compatibility with various care environments make the software more helpful and scalable.
- Is the platform customizable to your specialty or workflow?
If the AI doesn’t meet your practice needs, it can be more cumbersome than helpful.
- What’s the cost, and what’s included?
Some platforms charge extra for features like EHR integration, patient instructions or customization.
- Is there a free trial?
The best way to evaluate is by trying it out with your actual patient visits.
Choose an AI assistant that supports your clinical thinking, not just your billing. The right platform should feel like an invisible partner that’s present during visits, but not in the way.
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