Connective Health utilizes AI and clinical interoperability to automate the retrieval of outside medical records, creating tailored patient summaries that integrate directly into existing EHR workflows. This technology reduces the time required for medical record access, enabling providers to deliver timely, informed care based on a patient's complete medical history.
Funding
$4.2M 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.
Founders
Product
Problem
Healthcare providers often lack a complete view of a patient's medical history due to fragmented data across disparate electronic health record (EHR) systems and other data sources. Manually retrieving and synthesizing outside medical records is time-consuming and inefficient, hindering informed decision-making and timely care delivery.
Solution
Connective Health automates the retrieval of outside medical records and generates tailored patient summaries, delivering a comprehensive view of a patient's medical history directly within existing EHR workflows. By leveraging AI and clinical interoperability, the platform aggregates data from patient indexes, record location databases, EHRs, pharmacy databases, and admission, discharge, and transfer (ADT) notifications. The AI then condenses this clinical data into targeted, actionable patient summaries, providing providers with key insights at the point of care. This enables providers to optimize new patient intake and triage, improve risk adjustment and quality gap closure, and gain a view of recent changes in a patient’s medical history.
Target Audience
Connective Health targets at-risk primary and specialty care providers, accountable care organizations, and virtual care providers seeking to improve care coordination, reduce provider workload, and enhance patient outcomes.
Features
- Automated retrieval of outside medical records from various data sources, including EHRs, pharmacy databases, and ADT feeds
- AI-powered summarization of clinical data into targeted and actionable patient summaries
- Integration with existing EHR workflows for seamless access to patient information
- Identification of recent and important changes in a patient’s medical history
- Support for value-based primary care by improving risk adjustment and quality gap closure
- Support for virtual specialty care by providing a complete, disease-specific patient record in real time
- Analysis of clinical records from patient indexes and record location databases