A newly established partnership could make predictive AI for healthcare a reality.
Johns Hopkins University has signed a memorandum of understanding with UK medtech firm Medopad to explore new projects using its patient monitoring platform, artificial intelligence and machine learning capabilities.
As part of the university’s global mHealth initiative and technology innovation center, the two organisations will also develop joint clinical and public health projects and innovations that leverage Medopad’s technology and expertise.
“We look forward to enriching this burgeoning engagement between our two institutions, strengthening this academic-private sector collaboration through rigorous research and clinical innovation to improve lives around the globe,” said Dr. Alain Labrique, director of the Johns Hopkins University Global mHealth initiative.
“We’re excited to see what the future holds for public health and technology at Johns Hopkins with Medopad, a global leader in patient engagement. Medopad’s expertise and track record speaks volumes about the potential for even more impactful and valuable innovations for delivering better patient care,” said Dr. Paul Nagy, deputy director, Johns Hopkins Medicine Technology Innovation Center.
Medopad and Johns Hopkins University say that the aim is to leverage deep data sets for predictive analysis for at-risk patients and communities.
Their innovations could also assist clinical staff and health workers with decision support.
As well as predictive analysis for at-risk patients, the partnership will also attempt to master early identification of epidemics and outbreaks using the platform.
The partnership will offer access to sophisticated artificial intelligence engines, advanced analytics and large existing data sets. This, the two organisations say, will allow machine learning algorithms to become increasingly robust, particularly as large, varied data sets of risk factors and outcomes are introduced.
Dan Vahdat, co-founder and CEO at Medopad said: “We are delighted to work alongside Johns Hopkins - a prestigious, globally renowned institution. By combining our resources and expertise we will be able to create innovative mobile health solutions and improve patient care on a global scale.”
Johns Hopkins University will now embark on preparing an adaptable framework of process, outcome and econometric indicators within a monitoring and evaluation framework that could enable Medopad and its users to evaluate the impact of innovations on processes and outcomes.
Based on an ‘adaptive learning system’ model, the framework will allow users to track process, output and outcome measures as a programme is deployed and grows.
