Medicine relies on information. Symptoms, observations, dosages are all crucial to helping healthcare professionals improve the care they give. The health and care system relies on information too. Waiting times, patient satisfaction scores and bed capacity are just some of the things the system needs to know. We are passionate about bringing all of this data together in a way that is meaningful for clinicians, practitioners and managers.
Transformation in the healthcare sector represents more than just technical advancement, it represents an opportunity to deliver progress for patients. This drives us forward.
COVID-19 exacerbated many of the challenges that already existed in health and care, restricting NHS capacity and worsening backlogs. Recovering from the pandemic is a challenge shared by providers, practitioners and patients and we have never had to do so on such a scale. Providers have been burdened with historically long waiting lists, practitioners are suffering from burnout and many patients are having to live with the effects of Long COVID.
At Methods Analytics, we know that the heart of health and care is the hardworking staff who do their utmost every day to deliver world-class care to patients. We want to help.
We understand that technology and data alone won’t solve all of the workforce’s problems, but when compassionately integrated, they can provide new solutions to time sapping and demoralising problems. We can use data to identify the problems that the workforce faces now and, in the future, then help you measure the impact of the interventions you put in place. Our analytics and data science is underpinned by service design and user research, ensuring we build solutions that solve a clear problem and meet user needs.
We believe, therefore, that it is more crucial than ever that the care system uses one of its most underutilised assets, data, to power the recovery required.
We bring our experience in Local Government building person-centric data models to understand risk within the wider population, identify which interventions will mitigate that risk and to enable better targeted services to improve the health of individuals. We can undertake population segmentation & outcomes monitoring, impactability modelling and population simulation and more. Combining our academic, statistic and data science capabilities with our extensive knowledge and experience in health and care ensure we can meet the challenge.
Case Studies
Maternal Health - The Abu Dhabi Department of Health (DoH)
February 24th 2022
To support the Abu Dhabi Vision 2030 – a long-term plan to help transform the emirate’s economy – the DoH require a quality framework that will allow monitoring and feedback across the healthcare sector. This new solution will help to set a new standard for the quality and efficiency of care; while an evidence base will support regulatory function and financial allocation.
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Case Studies
Expert Systems - The Care Quality Commission (CQC)
February 24th 2022
The Care Quality Commission (CQC) is the independent health and social care regulator for England.
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Case Studies
Stethoscope - The CCG
February 24th 2022
The CCG was overloaded with datasets, spending a lot of time collating data from various sources for analysis. They required assistance in navigating the vast flows of data that the NHS generates and had a requirement to access this data through an online platform and automated reports, which could visualise benchmarked and predictive data for interpretation in a clearer way than their current and complex spreadsheets.
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