AI Note Taking App for Healthcare
About us
English
AI Note Taking App for Healthcare
Capture clinical encounters and organize care with an AI note taking app for healthcare designed for clinicians and care teams.
AI powered (Demo)
1
Add a file
Drop in anything you'd like to use.
OR TRY WITH A SAMPLE
2
Pick a prompt
Add a file first — then any prompt runs against it.
By using the product, you agree to our Terms of Service and have read our Privacy Policy.
Trusted by Millions Worldwide
4.4
2,100+ reviews on G2
4.4
8,200+ reviews on Capterra
4.4
73,000+ reviews on App Store
248M
Registered Users
5B
Notes Created
2M
Notes Created Daily
Frequently Asked Questions
An AI note taking app uses AI-assisted features to help create, summarize, and organize notes. In healthcare, it can draft encounter summaries, extract problem lists, and surface follow-up tasks to support clinicians and care teams using platforms like Evernote.
Clinicians gain time savings and improved organization by letting the app draft summaries, highlight pending tasks such as labs or referrals, and centralize notes across visits. This supports faster handoffs and clearer care plans without replacing clinician judgment.
Yes. The assistant can pull key findings, problem lists, and next steps from lengthy documentation into concise summaries. Summaries can be tailored in length and focus, such as discharge-ready briefings or patient-facing summaries for clarity.
You can. The app can convert visit content into structured care plans with tasks, owners, and deadlines. These items can be exported or shared with care coordinators to streamline follow-up and reduce missed tasks.
Yes. The assistant can rewrite clinical information into clear, patient-friendly language, create one-page handouts, or suggest talking points for phone outreach, which helps standardize education across clinic staff.
Absolutely. Notes can be shared across care teams with permissions control, allowing collaborators to view, comment on, or update documentation. This supports interdisciplinary coordination while keeping a single source of truth.
Typically, suggestions can be exported as draft text or discrete tasks depending on integration. The exact export method depends on the EHR connection; workflows usually require clinician review before finalizing content in the chart.
The app can highlight potential medication discrepancies by comparing lists from different parts of the record. These are flagged for clinician review, with suggested reconciliation steps, but final verification remains with clinical staff.
Yes. The app can be configured to the documentation needs of different specialties by adjusting templates, suggested problem lists, and educational content, enabling tailored workflows for cardiology, primary care, and other services.
Staff training generally includes brief hands-on sessions, quick-reference guides, and practice scenarios. Clinician champions and peer support during rollout improve adoption; training frequency depends on site size and complexity.
Integration testing includes unit tests, end-to-end tests in an EHR test instance, usability testing with clinicians, and simulated patient loads. Acceptance criteria should cover data fidelity, safety checks, and usability thresholds before pilot launch.
Yes. The assistant can generate summaries at different granularities-from one-sentence encounter highlights to multi-paragraph visit notes-and you can set preferences for what information to prioritize.
Suggestions should be reviewed and editable by clinicians. Incorrect suggestions are expected occasionally; workflows should include easy correction, provenance tracking, and a feedback channel to improve system outputs over time.
Yes. Notes and shared content include permission controls so teams can restrict access to sensitive material. Use role-based sharing to ensure appropriate visibility while enabling collaborative care where needed.
Yes. You can track metrics such as documentation time, suggestion acceptance rates, and task completion. Dashboards and weekly digests help teams monitor adoption and safety-related indicators to guide continuous improvement.