DIGI TAL HEALTH
intelligence to cut through the information that may be less important, with the use of AI. We cannot overload clinicians with more and more data, more and more technologies, and more and more screens. We have to bring all of this together and make it easy to use,” Mendonca asserts. Going forward, these digital trends are set to move beyond the walls of the hospital – as Mendonca points out, “the complete patient journey includes their home”. The Government’s plan for digital health and social care (published 29 June 2022), suggests that increasing the availability of remote monitoring could ensure a further 500,000 people are better supported by March 2023.
Over 280,000 people have already used remote monitoring at home and in care homes for long-term conditions in the last year, freeing up hospital beds and saving clinicians’ time. This has resulted in improvements in patient outcomes – with problems picked up earlier, shorter stays in hospital, and fewer admissions in the first place.1
However, Mendonca points out that while there is a certain amount of telehealth and telesurveillance already happening, it is “not particularly joined up with what is happening in the hospital.”
“In the future, there is the potential for
We have lots of clinical assistive apps and solutions to identify patient deterioration, such as early warning scores, but the direction we are travelling in is to identify subtle changes in the patient’s condition at a much earlier stage
before the patient actually starts to deteriorate. John Mendonca, Mindray UK.
technology to enable earlier discharge with follow-up remotely. The amount of delays in the system is huge and connectivity could have a significant impact. The ambition is a completely joined up healthcare system. Mindray is looking to move into this space to assist integrated care,” he concludes. CSJ
References 1 Department of Health & Social Care, A plan for digital health and social care
https://www.gov.uk/ government/publications/a-plan-for-digital-health- and-social-care
2 The Big (Unstructured) Data Problem, Forbes, 5 June 2017,
https://www.forbes.com/sites/ forbestechcouncil/2017/06/05/the-big- unstructured-data-problem/?sh=3597e398493a 3 Gorman, E, Chief Nursing Information Officer,
Royal Papworth Hospital NHS Foundation Trust, ‘EPR connectivity: Challenges, solutions and future potential’,
https://www.mindrayuk.com/epr- connectivity/
4 Cohen, J., et al., Sepsis: a roadmap for future research. Lancet Infect Dis, 2015. 15(5): p. 581- 614.
5 Angus, D.C. and T. van der Poll, Severe sepsis and septic shock. N Engl J Med, 2013. 369(9): p. 840- 51.
6 WHO, WHO Report on the burden of endemic health care-associated infection worldwide. 2017-11-21. 15:11:22 2011.
7 Kempker, J.A. and G.S. Martin, A global accounting of sepsis. The Lancet, 2020. 395(10219): p. 168-170.
8 Marik, P.E., X. Monnet, and J.-L. Teboul, Hemodynamic parameters to guide fluid therapy. Annals of intensive care, 2011. 1(1): p. 1-1.
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