Accelerating AI and ML Adoption with Enhanced Digital Innovations

Accelerating AI and ML Adoption with Enhanced Digital Innovations

Diagnostic Robotics and Brown University Center along with Lifespan Center for Digital Health team up to Accelerate AI-Driven Predictive Analytics for Behavioral Health and Patient Triage

Fremont, CA: Diagnostic Robotics and the joint Brown University-Lifespan Center for Digital Health formed a new collaboration to kickstart the implementation of artificial intelligence and machine learning for the delivery of high-quality healthcare.

"Diagnostic Robotics is making a real difference to patients with cutting-edge patient navigation tools, COVID-19 assessment capabilities, and highly accurate predictive analytics," said Dr Megan Ranney, founding Director of the Brown-Lifespan Center for Digital Health. "We are excited to work together on validating and refining this approach to augmenting the health system with artificial intelligence to expand access to high-quality care."

The collaboration will prioritize on dealing some of the most challenging pain points in the care continuum, including the prediction of avoidable events and providing access to the most appropriate level of care for every individual's unique needs.

Diagnostic Robotics has been working with an increasing number of payers and providers in countries such as Israel and the United States to predict which patients will fully benefit from proactive interventions to develop the quality their health and avoid unnecessary expenditure. The company focuses on attaining the highest possible level of accuracy utilizing the best available AI and interactive features to obtain real-time insights into patients and their necessities, actively preventing avoidable events, like hospitalizations and utilization of emergency departments, instead of focusing on per capita spending.

The Brown-Lifespan Center for Digital Health was created to accelerate the innovations in digital health to improve lives. The leadership of the Center comprises of anthropologists, psychologists, computer scientists, physicians, and engineers. Building on direct connections with their patients, societies, and practitioners, the Center's research remains abreast of the trends on both current and future clinical needs. The team collaboratively creates, tests, and deploys digital health projects that tackle society's most critical health challenges. Key initiatives comprise of multiple federally-funded grants that range from early-stage scientific discovery to late-stage implementation, provision of education for learners from undergraduate studies to practising clinicians, and forging partnerships with organizations like Diagnostic Robotics that enable a quick scaling of the science, solely toward impact.

"The US health system is under considerable strain from fragmented care management and the subsequent poor outcomes and avoidable financial waste," said Yonatan Amir, Diagnostic Robotics' CEO. "Artificial intelligence and machine learning are ideally suited to help prevent gaps in care before they occur, leading to more coordinated care and better quality of life for patients with chronic conditions."

"Our collaboration with the Brown-Lifespan Center for Digital Health will drive innovation even deeper into the health system to improve experiences for patients, providers, and payers alike."

Complementing to its robust suite of patient triage and navigation tools, Diagnostic Robotics has also recently upgraded its technology to develop a separate COVID-19 risk assessment and monitoring tool. In partnership with the Rhode Island Department of Health, Diagnostic Robotics has rolled out the platform to all Rhode Island residents, as well as working with Salesforce and Deloitte to make the platform available to governments and healthcare systems globally.