PulseData utilizes patented machine learning models to predict chronic disease progression and identify at-risk patients, enabling healthcare organizations to implement targeted interventions. The platform addresses chronic disease underdiagnosis and undertreatment, improving patient outcomes and reducing healthcare costs.
Funding
$19.8M raised to dateRaised 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.
BCFounders
Product
Problem
Healthcare organizations face challenges in identifying patients at high risk of chronic disease progression, leading to delayed interventions and increased healthcare costs. Traditional methods often rely on retrospective data analysis, making it difficult to proactively manage chronic conditions and prevent adverse events. This results in underdiagnosis, undertreatment, and health inequities for a significant portion of the population.
Solution
PulseData offers a data intelligence platform that leverages patented AI and machine learning models to predict chronic disease progression and identify at-risk patients. The platform analyzes complex patient journeys to provide clinically-validated predictive insights at the point of care, enabling proactive and targeted interventions. By transforming disparate data sources into actionable information, PulseData helps healthcare organizations improve diagnostic accuracy, risk stratify patients, and automate workflows. This allows for timely interventions, better patient outcomes, and reduced healthcare expenses.
Target Audience
The primary target audience includes payers, providers, value-based care organizations, and ACOs seeking to improve patient outcomes and reduce costs associated with chronic disease management.
Features
- Patented AI/ML models trained on millions of patient journeys to predict chronic disease progression
- Identification of at-risk patients with disease-specific care summaries and recommended interventions
- Data pipeline to process necessary data from key sources, closing information gaps
- Workflow automation to direct patients to the appropriate programs at the right time
- Integration with third-party systems to enhance data accessibility and collaboration
- Predictive analytics to reinforce care management plans and drive timely interventions
- SOC2 Type II certification, ensuring data privacy, confidentiality, and availability