Sorin Stircu

Sorin Stircu, Regional MedTech Strategist at E*HealthLine, is on a mission to help MedTech/Healthcare companies build and grow profitable businesses with the help of A.I./M.L.-based Digital Ecosystems. He is trained in strategic & tactical planning and project management for the MedTech/Healthcare industry including product differentiation, positioning, life cycle management, and global market development. Sorin promotes innovative programs that capitalize on new analytic technologies for Digital Health to include: Artificial Intelligence, Machine Learning, R&D, Smart Electronic Health Records, Population Health Management, ePrescribing, Point of Care Marketing, Patient and Physician Engagement and Clinical Decision Support. He helped companies build new digital strategies and switch from a B2C/B2B business model to a partner-partner business model with a huge return of investment in a highly competitive market.

By unleashing the power of machine learning, we can better understand behaviour, empower patients to make smarter decisions – and save billions of euros . Unhealthy lifestyles are driving an explosion in chronic conditions, including obesity, diabetes and cardiovascular disease. By choosing to smoke, having an inconsistency in maintaining a healthy diet and opting out of exercising, we place ourselves at risk of ill-health. At the same time, some patients are neglecting to take their medicines as prescribed or are misusing antibiotics – with devastating consequences. Around twenty–one percent (21%) of US healthcare costs are attributable to the influence of human behaviour. For example, poor medication adherence alone costs the US more than $100 billion annually. Harvard and the World Economic Forum have estimated that non-communicable diseases result in economic losses for developing economies equivalent to four to five percent (4-5%) of their GDP per annum. A patient-centric approach to behaviour change promises not only to improve clinical outcomes, but to address the rising demand for health services. Better education and awareness can help individuals to make smarter choices. There are a range of interventions available, but the challenge is providing the right patient with the right behaviour change intervention at the right time. If We Can Predict, We Can Prevent Now we have new tools at our disposal, informed by research from psychology and behavioural economics, and powered by technological advances. As someone with a keen interest in behaviour change and the predictive power of analytics, I believe machine learning can help to make our health systems more sustainable. Artificial Intelligence (AI) allows us to evaluate how an individual makes lifestyle decisions and tailor behaviour change programmes to suit their needs. When considering an example of poor medication adherence, if we are aware of who is at risk and...
According to the latest estimates of the WHO, 422 million people suffer from diabetes worldwide, and the number is growing steadily. As someone who is passionate about using eHealth to solve the biggest challenges in modern healthcare, diabetes stands out as one of the defining problems of our era. Managing diabetes well is essential to the wellbeing of millions of people, to the sustainability of our health systems, and to the long-term durability of our economies. The scale of the problem is immense but technology can help us rise to the challenge. Cognitive Artificial Intelligence (AI), facilitated by analytical predictive-diagnostics and revolutionary medical devices are transforming the way healthcare is delivered and managed throughout the world. Or, in other words, today’s computers can use patient data from multiple sources, including genomic sequencing and sensors, to diagnose disease, inform treatment decisions, and predict outcomes. It is my objective to bring the AI revolution to diabetes. When it comes to diabetes care, Machine Learning and Artificial Intelligence can collect information from various devices to create personalized programmes that support medication adherence and blood glucose management. At my company, we have developed a Digital Connected Health Platform™ that works with all diabetes devices. Our goal is to facilitate the analysis of data so that we can help patients stay healthy, avoiding the severe complications that can accompany advanced or uncontrolled diabetes. The insights provided by systems such as ours allow physicians to consistently intervene with patients on a real-time basis, paving the way for a more dynamic kind of disease management. It enables the use of wearables, sensors, devices and home health monitoring systems to transmit data from a patient to their care providers. The system also delivers reminders to patients, prompting them to check their blood glucose levels, take their medication or...