Showing 141–160 of 1,000 ranked alternatives.
CLINICALLY SPEAKING, LLC
Generate notes from conversations
Generate clinical notes during patient consultations using speech recognition. Automatically send notes to the electronic health record. Allow clinicians to review and edit notes before finalizing.
MEDHOST Tennessee, Inc.
Access patient data during rounds
Access patient data in real-time during rounds. View chart information quickly. Share results and communicate with patients and families at the bedside. Reduce need for printing reports or returning to workstations.
DOCUMED AI LLC
Record conversations, transcribe notes, generate clinical documentation
Transcribes patient conversations in real time and generates structured clinical notes. Notes are ready for review or EHR upload. It supports physicians, PAs, NPs, and healthcare practices.
MedicalMine Inc.
Message securely within your EHR workflow
Secure messaging between patients and healthcare providers within an electronic health record system. Send and receive messages, share medical documents, and schedule appointments directly through the integrated platform.
The New York and Presbyterian Hospital
With doctors and access medical records
Schedule virtual visits with physicians for consultations and follow-ups. Access medical records and test results securely. Find healthcare providers based on specialty, location, and language. with specialists for urgent care and video appointments.
DVA Renal Healthcare, inc
Track patient data across multiple sites
Access patient records, view lab results, and manage treatment plans. Document notes and update care plans. Receive alerts for critical patient updates. Schedule and track appointments across multiple facilities.
SAIVA, INC.
Monitor patient data and receive alerts
Monitor patient risk levels using EHR data. Receive alerts on new or increased risk patients. Review consolidated patient profiles for clinical insights and notifications. Track patient status changes and access predictive analytics.
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.