Drafting medical summaries is largely a manual process. Physicians typically spend 4x more time on medical summaries than on seeing the patient.
Many factors contribute to the lengthy process, including gathering unstructured doctors’ and nurses notes, lab and imaging tests, medication history, family and social history.
The task becomes even more difficult when the patient has a complex medical history and multiple conditions that may affect each other.
The automation + generative AI solution.
- Various medical records (diagnoses, symptoms, medications, and lab results) are collected and synthesized by a system of automation and intelligent document processing powered by generative AI to extract the relevant information.
- Physicians can initiate the workflow to generate a medical summary based on the extracted information from directly within the electronic health record (EHR) software via Automation Co-Pilot.
- Once reviewed, Automation Co-Pilot automates the steps to make the summary available to the provider and creates a copy in the EHR for future reference.
Cut physician admin time by 80%
of time spent by a physician on synthesizing and summarizing a patient's medical status.
physician turnover, errors, and improve care outcomes.
creating similar patient assessments across nurses and allied healthcare personnel.
Create medical summaries 70% faster than before with automation + AI.
See how generative AI reduces time to create medical summaries from 16 minutes to 5 minutes.
Physician requests for patient medical summary
Received by secure EHR messaging portal
Document Automation applied to process various medical records as needed
Automation accesses data stores
Document Automation if needed
Generative AI synthesizes, understands context
Physician specifies type of summary required
C O M P O N E N T S
- Demographics / financial / SDOH
- Medical history
- Medication history
- Lab, test, imaging results
- Treatment history / progress
- Consultation reports
- Discharge summaries
- Summary & prognosis
- Additional information
- Document in EHR
- Refer to specialist
- Prior authorization
- Claim denial
- Case presentation
Physician responds using Automation Co-Pilot