Real World Health: Enhancing NHS Care with Data
Real World Health, a healthcare data analytics company based in London, recently announced the closing of a £1.37 million funding round to support the NHS in leveraging data to enhance patient care. The company's AI and machine learning solutions have already shown significant results, generating annual savings of up to £5.5 million for some projects and benefiting millions of patients on a daily basis. By providing tools for NHS organisations to optimize productivity in operating theatres, plan bed capacity, and predict mental health crises in children, Real World Health aims to address critical challenges facing the healthcare system.
One of the company's key solutions, Opfeed, has proven to be highly effective in reducing theatre running costs, increasing patient throughput, and minimizing late finish times.
Real World Health's approach focuses on bridging the gap between the vast amount of patient data held by the NHS and the actionable insights needed to drive improvements in operational efficiency and patient outcomes. By using a combination of data science expertise, AI, and machine learning, the company helps providers make more informed decisions around planning, demand and capacity, finance, and resource utilization.
In addition to addressing surgery backlogs, Real World Health also offers mental health data analytics solutions to assist NHS providers in delivering effective mental health services. The company's innovative projects aim to predict mental health crises in children by utilizing AI and machine learning models that analyze data from social care, education, and healthcare sources. With a track record of success working with over 70 organizations globally, Real World Health is well-positioned to continue driving positive change in healthcare through data-driven solutions.
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