Professor Simon Jones Joins MedeAnalytics to Help Drive Shift to Preventative, Integrated Health and Care

MedeAnalyticsMedeAnalytics, a pioneer in healthcare analytics, has announced the appointment of Professor Simon Jones as Director and Chief Data Scientist. One of the leading authorities on healthcare intelligence, Professor Jones' mission is to help make predictive and preventative care a reality.

Prior to joining MedeAnalytics, Professor Jones was professor of epidemiology and head of integrated care research at the University of Surrey. Previously, he held leadership positions at Dr Foster Intelligence, the Centre for Workforce Intelligence, King’s College London, Bromley Hospitals NHS Trust, and Kingston University.

In his new role, Professor Jones will work directly alongside pioneering local health economies in the UK, so that everyone involved in an individual’s treatment across health and social care can understand and predict what interventions are needed. This will be a critical step in ensuring effective use of resources to obtain optimal outcomes and the prevention of more serious conditions.

Andy Hurd, Chairman and CEO at MedeAnalytics, said: "This appointment underpins our leadership status in the provision of sophisticated capabilities to plan better care and drive improved outcomes for patients. With Professor Jones, we will significantly accelerate our innovation team and the positive contribution they can make to both our customers and those patient’s under their health care."

Areas including Hertfordshire and West Essex have already collaborated with MedeAnalytics to produce cutting-edge patient-level combined datasets across health and care, meaning they can understand which patients are at risk and therefore design services and appropriately allocate scarce resources. Professor Jones will be working with a growing number of these local health economies to take their shared intelligence networks to the next level, so they know how and when in the patient’s journey to intervene, and enable entire health and care communities to target population segments that have similar health needs.

Commenting on his appointment, Professor Jones said: "Making sure health and care organisations are all working from the same data and trying to achieve the same thing for the individual patient is very important in an era of joined-up health."

Wayne Parslow, MedeAnalytics' General Manager in the UK, said: "As a global thought-leader in healthcare analytics, Professor Jones will be building on our already powerful analytics platform and will be significantly enhancing our population health management capabilities."

About MedeAnalytics
MedeAnalytics provides evidence-based insights to solve a real problem that plagues healthcare - how to use the immense amount of patient data collected along the care continuum to deliver cost-effective care and promote a healthier population. Its analytics platform delivers intelligence that helps healthcare organizations detect their greatest areas of risk and identify opportunities to improve their financial health. It empowers providers and health plans to collaborate and use data to strengthen their operations and improve the quality of care. MedeAnalytics' cloud-based tools have been used to uncover business insights for nearly 1,000 healthcare organizations across the United States and United Kingdom. The company has also been named one of Modern Healthcare's top 100 Best Places to Work in Healthcare for 2014.

Most Popular Now

Stanford Medicine Study Suggests Physici…

Artificial intelligence-powered chatbots are getting pretty good at diagnosing some diseases, even when they are complex. But how do chatbots do when guiding treatment and care after the diagnosis? For...

OmicsFootPrint: Mayo Clinic's AI To…

Mayo Clinic researchers have pioneered an artificial intelligence (AI) tool, called OmicsFootPrint, that helps convert vast amounts of complex biological data into two-dimensional circular images. The details of the tool...

Adults don't Trust Health Care to U…

A study finds that 65.8% of adults surveyed had low trust in their health care system to use artificial intelligence responsibly and 57.7% had low trust in their health care...

Testing AI with AI: Ensuring Effective A…

Using a pioneering artificial intelligence platform, Flinders University researchers have assessed whether a cardiac AI tool recently trialled in South Australian hospitals actually has the potential to assist doctors and...

AI Unlocks Genetic Clues to Personalize …

A groundbreaking study led by USC Assistant Professor of Computer Science Ruishan Liu has uncovered how specific genetic mutations influence cancer treatment outcomes - insights that could help doctors tailor...

The 10 Year Health Plan: What do We Need…

Opinion Article by Piyush Mahapatra, Consultant Orthopaedic Surgeon and Chief Innovation Officer at Open Medical. There is a new ten-year plan for the NHS. It will "focus efforts on preventing, as...

Deep Learning to Increase Accessibility…

Coronary artery disease is the leading cause of death globally. One of the most common tools used to diagnose and monitor heart disease, myocardial perfusion imaging (MPI) by single photon...

People's Trust in AI Systems to Mak…

Psychologists warn that AI's perceived lack of human experience and genuine understanding may limit its acceptance to make higher-stakes moral decisions. Artificial moral advisors (AMAs) are systems based on artificial...

DMEA 2025 - Innovations, Insights and Ne…

8 - 10 April 2025, Berlin, Germany. Less than 50 days to go before DMEA 2025 opens its doors: Europe's leading event for digital health will once again bring together experts...

Relationship Between Sleep and Nutrition…

Diet and sleep, which are essential for human survival, are interrelated. However, recently, various services and mobile applications have been introduced for the self-management of health, allowing users to record...

New AI Tool Mimics Radiologist Gaze to R…

Artificial intelligence (AI) can scan a chest X-ray and diagnose if an abnormality is fluid in the lungs, an enlarged heart or cancer. But being right is not enough, said...

AI Model can Read ECGs to Identify Femal…

A new AI model can flag female patients who are at higher risk of heart disease based on an electrocardiogram (ECG). The researchers say the algorithm, designed specifically for female patients...