This startup facilitates clinical trial recruitment by leveraging electronic health record (EHR) data to identify and pre-qualify potential patients. The platform streamlines the process of finding suitable candidates, accelerating trial timelines and broadening patient access to research opportunities.
Funding
Funding not disclosed
Founders
Product
Problem
Clinical trial recruitment faces challenges in efficiently identifying and engaging eligible patients, leading to delays in research timelines and limiting access to trials for diverse patient populations. Traditional recruitment methods often struggle to match patients with relevant trials based on their specific health profiles and preferences.
Solution
Bond Health streamlines clinical trial patient recruitment by leveraging electronic health record (EHR) data to proactively connect patients with personalized trial opportunities. After patients provide consent, Bond Health accesses their encrypted, de-identified EHR data to match them with relevant clinical trials. Patients receive recurring communications about trials matching their profile, while researchers gain access to a more diverse and representative patient pool, accelerating research timelines and enhancing the generalizability of findings. The platform facilitates access for patients with complex conditions and provides educational resources to foster informed decision-making.
Target Audience
Bond Health serves clinical research organizations (CROs) and sponsors seeking to streamline patient recruitment, as well as patients who want to access clinical trials relevant to their health conditions.
Features
- Patient interface for providing consent to access EHR data
- Data informatics team that works with encrypted, de-identified EHR data
- Personalized trial matching based on patient health profiles
- Recurring email communications to patients about relevant clinical trials
- Educational resources to help patients understand research opportunities
- Streamlined recruitment process for sponsors and CROs
- Proprietary database development for better queries and nuanced matching
- Integration of diverse data types, including imaging, medication, and notes
- Application of machine learning for trial predictions
- User feedback integration for tailored trial opportunities
- Outreach for diverse participation
- Detailed trial summaries
- Preference-based communication
- Transparent data utilization
- Flexible sponsor pricing