This AI-driven assistant helps healthcare professionals reduce operational burdens by streamlining administrative tasks. It focuses on managing patient symptoms and related data, allowing clinicians to dedicate more time to patient care.
Funding
Funding not disclosed
Founders
Product
Problem
Inpatient physicians face challenges in efficiently managing patient data within electronic health record (EHR) systems, leading to increased screen time and potential delays in decision-making. This can result in longer patient stays and reduced unit throughput.
Solution
SymptomStream offers an AI-powered assistant designed to streamline patient management for inpatient units by accelerating data retrieval and providing next-task summaries. The platform integrates with existing EHR systems to reduce the burden on physicians, allowing them to focus on timely patient care and optimize patient flow. By surfacing critical data instantly, SymptomStream helps clinical teams move patients more efficiently toward discharge.
Target Audience
The primary users are inpatient physicians and clinical teams aiming to reduce EHR burden, improve patient flow, and optimize hospital performance metrics.
Features
- AI-driven next task summaries to guide physician workflows
- Rapid patient data retrieval to minimize EHR screen time
- Seamless integration with existing EHR systems as a bolt-on solution
- Real-time triage prompts curated by AI to help nurses make informed decisions