Johns Hopkins University to Leverage Medopad’s Patient Monitoring Platform and AI Capabilities to Develop New Clinical and Health Innovations
“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,” added Dr. Paul Nagy, Deputy Director, Johns Hopkins Medicine Technology Innovation Center.
With this collaboration Medopad and Johns Hopkins University aim to:
• Leverage deep data sets for predictive analysis for at-risk patients and communities.
• Support existing clinical staff and health workers with decision support solutions.
• Enhance population health monitoring through early identification of epidemics and outbreaks.
• Offer dashboards with educational content tailored for targeted demographic groups.
• Assist in discovering gaps in care or patient needs.
Medopad’s technologies and access to sophisticated Artificial Intelligence engines, advanced analytics and large existing data sets 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 comments:
“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.”
Through this MoU, Johns Hopkins University, through its Global mHealth Initiative and Technology Innovation Center networks, will 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.
Medopad transforms how healthcare providers, doctors and patients connect with each other. The company’s remote patient monitoring apps, mobile technology and advanced analytics unite to deliver a personalised, more efficient care experience.
Headquartered in London, Medopad has been named a HealthTech unicorn in the making by KPMG. Clients include NHS trusts, national healthcare providers, global pharmaceutical organisations, insurance companies, governments, charities and sports clubs.
Medopad’s AI division is leveraging the latest machine learning technologies to address the challenges associated with disease detection, preventative healthcare and patient misdiagnosis. www.medopad.com
About the JHU Global mHealth Initiative
The Global mHealth Initiative at Johns Hopkins University (JHU-GmI) strives to develop responsive innovations and provide rigorous, evidence-based support for mobile ICTs to improve global health. Based in Baltimore, MD, centred in the Bloomberg School of Public Health, JHU-GmI’s academic research network spans over 150 project partners across the University. From coursework and research, to student support and training the Center works to build capacity in Digital Health. www.jhumhealth.org
About the JHU Technology Innovation Center
The Technology Innovation Center (TIC) is a professional design and software engineering team that builds and deploys innovative clinical information systems across Johns Hopkins Medicine. This multidisciplinary team is a hub for clinicians to create novel, technology-based solutions that span our medical specialities and practice settings. The TIC is an access point for engineers and researchers at The Johns Hopkins University. https://www.hopkinsmedicine.org/technology_innovation/
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