Vitreoretinal surgeon and founder building a future without paperwork
Cosign AI
Cosign AI provides technology that enables investigators and clinical sites to identify eligible patients for clinical trials in real time directly at the point of care. This solution integrates seamlessly into existing clinical workflows to ensure accurate and effortless patient surfacing. The platform accelerates recruitment timelines by connecting the right candidates with appropriate trials without disrupting daily operations.
- Artificial Intelligence
- Data & Analytics
- Digital Health
- Enterprise Software
- Healthcare Technology
- Software Only
Updated 29 days ago
Funding
Funding rounds are not available yet.
Founders
Product
Problem
Healthcare providers face significant administrative burdens due to time-consuming clinical documentation and data screening processes. Manually entering clinical notes into Electronic Health Records (EHRs) and screening patient data against decision trees diverts valuable time from patient care and contributes to clinician burnout.
Solution
Cosign AI offers an AI-powered workforce designed to automate clinical tasks, streamlining workflows and reducing administrative overhead. The platform transcribes clinician-patient conversations into structured clinical notes and automatically enters them into the EHR. It also screens patient data against pre-defined decision trees, flagging cases that require further review. By automating these processes, Cosign AI enables healthcare providers to focus on patient care, improve efficiency, and reduce the risk of errors associated with manual data entry.
Target Audience
Cosign AI targets healthcare providers, including hospitals, clinics, and physician practices, seeking to automate clinical documentation and data screening processes to improve efficiency and reduce administrative burden.
Features
- AI-powered clinical note generation from patient-clinician conversations
- Automated EHR integration for seamless data entry
- Customizable decision tree screening for patient data analysis
- Secure infrastructure compliant with HIPAA regulations
- Integration with popular EHR systems
- Partnerships with Google Cloud and Microsoft Azure for enhanced data security