Syneos Health announced a strategic partnership with Haystack Health, a Roivant Health portfolio company developing advanced Artificial Intelligence (AI) and Natural Language Processing (NLP) solutions, to improve the identification and enrollment of patients for clinical trials.
The combined capabilities of Syneos Health and Haystack Health will more effectively and efficiently identify and match clinical trial opportunities for patients. For sponsors and sites, this partnership will deliver valuable research tools and workflow efficiencies that result in improved timelines and increased patient recruitment. Initially, these new data solutions will only be available for Syneos Health sites in the US, with a focus on oncology and immunology. Later this year, the partnership plans to expand to include additional therapeutic areas and sites across the globe.
Syneos Health and Haystack Health have been collaborating directly with sites and sponsors over several months. Via these pilot efforts, the companies have been able to identify eligible patients for specific trials in near-real time, facilitating rapid patient engagement and accelerated enrollment for hard-to-enroll trials in advanced cancers, complex auto-immune conditions, and progressive diseases, among other therapeutic areas. The companies’ combined capabilities help improve recruitment strategy to focus on patients who are less likely to fail trial screeners, thereby reducing the burden on patients, trials and sites.
“The challenges of enrolling patients in clinical trials are well documented. Protocol complexity and specificity in precision medicine have made patient recruitment even more difficult. Haystack Health offers an advanced solution leveraging AI to match patients to trials while preserving privacy,” said Baba Shetty, President, Technology & Data Solutions, Syneos Health. “We’re thrilled to be working closely alongside the Haystack Health team to innovate in this critical area for patients, sponsors and science.”
“We are very excited to be partnering with Syneos Health and its customers. At Haystack, our goal is to reduce the screen failure rate through the use of clinical AI and pre-screening services. Screen failure is extremely costly across the clinical research chain, in terms of both time and money. For overburdened and busy research sites, additional time spent on screening patients who never actually enroll into a trial could have been much more effectively spent on patient care. Clearly, better pre-screening methodologies are urgently needed to reduce screen failure rates, enabling faster clinical development and improved patient care,” said Steve Whitehurst, CEO, Haystack Health. “By more thoroughly validating study inclusion/exclusion criteria during pre-screening, the chances of pushing an ineligible patient to final screening are dramatically reduced. Our industry-leading clinical NLP enables key insights to be rapidly derived from unstructured data in medical records, delivering high-quality patient matches to a study in unprecedented time.”