• HN

  • Sara Reis

Sara Reis

Head Of Data Science at HN

Sara Reis is a experienced professional in the field of data science, with a background in biomedical engineering and medical imaging. Currently holding positions in the healthcare industry, Sara has worked at HN as the Head of Data Science and Modelling & Insights. Prior to this, Sara was the Assistant Information Developer Manager at The Royal Marsden NHS Foundation Trust and a Data Analyst at the Parliamentary Digital Service. Sara completed their Doctor of Philosophy in Medical Imaging and Computing at UCL, and has experience in SQL, Python, and data analysis frameworks.

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HN

HN is an award-winning company that uses AI to predict and prevent care need. We provide practical applications of population health management, going beyond simply identifying high-need patients to proactively intervening and supporting them to improve their health outcomes. Established by clinicians and researchers at Sweden’s Karolinska Medical Institute, our journey in the UK began in 2015. Working in collaboration with the Nuffield Trust, we launched a large trial into the effectiveness of clinical coaching, which has shown exceptional outcomes for patients and the NHS. Since our UK launch, we have developed into an award-winning NHS partner and since March 2020, have been supported by the NHS Innovation Accelerator to scale nationally. The HN approach is unique. We blend our advanced data scientific and AI capabilities with digital services, which are delivered by highly experienced healthcare professionals. This provides the NHS and patients with integrated and comprehensive solutions. We provide practical applications of population health management, going beyond just identifying high-cost, high-need patients and actually intervening to support them to improve their health outcomes and reduce their care consumption. Our vision is to empower patients, by engaging them in their own health and care, thereby reducing their need of NHS services and creating sustainable healthcare for all.


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51-200

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