Pillie – Medication Reminder
GRATUIT
Free
Description
Notat AI is an AI medical assistant and scribe for clinicians. It listens during patient visits, providing real-time medical transcription, extracts the clinical details that matter, and turns them into structured notes with diagnosis support, summaries, and coding suggestions.
Use Notat to reduce the routine documentation work around each consultation:
• Draft clinical notes from the visit
• Extract problems, history, medications, allergies, vitals, assessment, and plan
• Suggest ICD-10 codes based on the documented clinical content
• Generate SOAP notes, referral letters, discharge summaries, and patient summaries
• Reuse templates for your specialty and preferred note style
• Review and edit every note before it is used
Notat is built for doctors, hospitals, clinics, and allied health teams that want less after-hours charting and cleaner clinical documentation. Works alongside your existing EHR system.
It is not a replacement for clinical judgment. You stay in control of the final note, codes, and patient record.
Privacy matters. Notat is designed for healthcare workflows, with secure processing and no model training on your clinical data.
Use Notat to reduce the routine documentation work around each consultation:
• Draft clinical notes from the visit
• Extract problems, history, medications, allergies, vitals, assessment, and plan
• Suggest ICD-10 codes based on the documented clinical content
• Generate SOAP notes, referral letters, discharge summaries, and patient summaries
• Reuse templates for your specialty and preferred note style
• Review and edit every note before it is used
Notat is built for doctors, hospitals, clinics, and allied health teams that want less after-hours charting and cleaner clinical documentation. Works alongside your existing EHR system.
It is not a replacement for clinical judgment. You stay in control of the final note, codes, and patient record.
Privacy matters. Notat is designed for healthcare workflows, with secure processing and no model training on your clinical data.
What's new (v1.2)
Performance improvements and updated translations.
