Jeff Schaeffer
Founder
Seam Technologies
The startup develops a clinical workflow analytics platform that utilizes data-driven tools to identify inefficiencies in nursing operations. By providing actionable insights, healthcare organizations can implement targeted interventions and measure the effectiveness of changes in care delivery.
- Artificial Intelligence
- Data & Analytics
- Enterprise Software
- Healthcare Technology
- Software Only
Updated 5 months ago
Funding
Raised to date
$3.5MRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Funding rounds are not available yet.
Founders
Product
Problem
Nursing operations face challenges in identifying and addressing workflow inefficiencies due to disparate data sources and the complexity of clinical environments. Traditional methods rely on manual analysis and high-level reports, making it difficult to pinpoint the root causes of process burden and measure the impact of interventions.
Solution
Seam Technologies offers a clinical workflow analytics platform that leverages AI to provide nursing operations and informatics teams with actionable insights. The platform synthesizes data from various sources, including EHR, HRIS, and financial systems, to identify inefficiencies at the task level and for specific nursing staff. By engaging with analytical AI assistants, users can ask clarifying questions and receive instant responses, eliminating the need for extensive data wrangling. Seam enables healthcare organizations to monitor the impact of process changes, training initiatives, and technology pilots, providing clear insight into the ROI of their efforts.
Target Audience
The primary target audience includes Chief Nursing Informatics Officers (CNIOs), Chief Nursing Officers (CNOs), and quality/process-centric teams within health systems and hospitals.
Features
- Data synthesis from EHR, HRIS, financial systems, and quality management systems
- AI-powered identification of inefficiencies down to individual activities and impacted nursing staff
- Analytical AI assistants for interactive analysis and real-time insights
- Causal effect analysis to measure the impact of initiatives on outcome metrics
- Secure, isolated environment with HIPAA compliance and SOC2 Type II certification
- Granular, task-level data analysis for all staff roles and encounters
- Monitoring of changes in behavior and outcome metrics driven by process changes