Pulse offers a predictive analytics platform for oncology departments that continuously monitors patient vital signs and EHR data, augmented with genomic insights. This enables early detection of complications like sepsis and anemia, facilitating timely clinical intervention and personalized care delivery.
Funding
Funding not disclosed
Founders
Product
Problem
Hospitals face challenges in managing preventable complications, readmissions, and relapses in cancer patients, leading to increased healthcare burdens and suboptimal patient outcomes. Current systems often lack the integrated data analysis required for proactive intervention and personalized care delivery.
Solution
Pulse provides a predictive analytics platform that continuously monitors patient vital signs and electronic health record (EHR) data, augmented with genomic insights. This system identifies early warning signs for conditions such as sepsis, anemia, and mucositis, enabling timely clinical intervention to prevent severe complications. The platform offers real-time patient dashboards that facilitate efficient care coordination and support the delivery of precision oncology. By streamlining workflows and providing data-driven insights, Pulse empowers physicians to focus on high-risk patients and optimize treatment strategies.
Target Audience
The primary customers are hospitals and oncology departments seeking to improve patient outcomes, reduce readmission rates, and enhance the efficiency of care delivery for cancer patients.
Features
- Continuous monitoring of patient vitals and EHR data streams.
- Integration of genomic data for enhanced predictive accuracy.
- Machine learning algorithms for early detection of sepsis, anemia, and mucositis.
- Real-time patient dashboards with customizable alert thresholds.
- Workflow automation for administrative tasks, including appointment scheduling and medication tracking.
- Data analytics engine for trend identification and treatment efficacy evaluation.
- Telehealth capabilities for remote patient consultations.
- Support for integration with wearable devices and fitness trackers.