What is the name of your organization?
Bond Health
What is the name of your solution?
Bond Health
Provide a one-line summary or tagline for your solution.
An AI-powered platform that accelerates clinical trial patient recruitment using Electronic Health Record (EHR) data
In what city, town, or region is your solution team headquartered?
Boston, MA, USA
In what country is your solution team headquartered?
United States
What type of organization is your solution team?
For-profit, including B-Corp or similar models
Film your elevator pitch.
What specific problem are you solving?
Clinical trial recruitment inefficiencies are a critical barrier in advancing medical research and timely patient access to innovative treatments. Current methods, relying on manual referrals and fragmented, structured data, result in 80% of trials experiencing delays of over a month, and 1 in 3 trials failing due to inadequate enrollment. Approximately 94% of eligible patients are never considered for participation, contributing to an estimated $26 billion+ in annual losses worldwide due to delayed drug development. These challenges are especially pronounced in underserved communities where underrepresentation in clinical research further deepens health inequities. Bond Health addresses this problem by leveraging advanced AI and large language models to analyze both structured and unstructured electronic health records (EHRs), significantly improving the accuracy and efficiency of patient matching. By transforming outdated recruitment practices, our solution accelerates trial timelines and enhances inclusivity and cost-effectiveness in clinical research, directly benefiting millions of patients globally while streamlining a process that currently impedes healthcare innovation.
What is your solution?
Our solution, Bond Health, is an AI-powered platform that leverages structured and unstructured electronic health records (EHRs) to match patients to personalized clinical trials in real-time. Unlike traditional methods such as physician referrals, flyers, or reliance on structured EHR data, our platform uses proprietary large language models (LLMs) to analyze structured and unstructured data, identifying eligible patients far more accurately and efficiently. Existing alternatives fail to fully address the diversity gap or streamline the recruitment process, resulting in significant delays and inefficiencies.
Who does your solution serve, and in what ways will the solution impact their lives?
Our solution serves three primary groups: pharmaceutical companies, clinical research organizations (CROs), and patients. Pharma companies and CROs bear the cost and delay of traditional recruitment methods, which impede drug development and inflate research budgets. By leveraging our AI-powered platform, these organizations benefit from faster, more efficient patient matching, reducing recruitment time by up to 50% and significantly lowering costs. This efficiency enables them to allocate resources toward innovative treatments and trials that reach market faster. Meanwhile, patients, particularly those from underserved communities who are often overlooked in conventional recruitment processes, gain improved access to cutting-edge clinical trials. This expanded access not only offers patients life-saving treatment opportunities but also fosters a more inclusive research environment, ensuring that diverse populations benefit from medical advances.
