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I’d like to take this opportunity to introduce myself. My name is Lotte Dinesen, I’m a consultant in General Internal Medicine, and currently a Clinical Research Fellow in e-health and telemedicine for frail individuals for the Collaboration for Leadership in Applied Health Research and Care (CLAHRC) and National Institute for Health Research (NIHR) for North West London. I am researching the use of electronic data to support decision-making, and improve care and outcomes for frail individuals as part of my Doctor of Medicine by Research (MD (Res)) at NIHR CLAHRC – part of Imperial College London. I am very pleased to say that Aridhia have supported my research as part of their community programme.
Currently, there is very limited data on health care, disease prevention, health promotion and individuals’ awareness of health within frailty and specifically how electronic data might help support these areas. So the research I’m undertaking aims to explore the opportunity for improving frail patients understanding of their disease and improve the outcome of their chronic diseases (such as heart failure, chronic obstructive lung disease and diabetes) and more importantly try to predict frailty.
With the advancement of computer technologies, it’s now possible to capture and store information from real time assessments, health behaviour and self-assessments, which creates lots of opportunities to use these datasets to enhance the safety, quality and efficacy of health care, and deliver individualised care.
Adopting this new data-driven approach, I hope to create a tool for assessing the frailty of an individual by scoring metrics that include physical, psychological, socio-economic and environmental aspects, and explore the potential for collating this information within a digital platform (e-health). The platform will be designed to act as a communication tool between clinical teams and patients, to support continuity of clinical care and individual patient requirements for chronic disease management.
From a wider context, this research will examine how Hospital Episode Statistics (HES) data compares to a clinical score and a more patient centred score and how this affects mortality, admission to hospital and occupied bed days, looking at how these scores can be applied to an electronic platform to improve outcomes for frail individuals. Using data in this way has the potential to play a vital role in meeting the challenges faced by healthcare systems, by improving the quality of care as well as patient safety. Outputs from the project will include journal and conference publications, as well as supporting NIHR CLAHRC NWL projects.
Over the next couple of months, I look forward to sharing my progress with you through regular blog posts.