Digital Health research theme

The vision of the Digital Health theme is to lead research in collaboration with engineering, commercial partners and citizens to create health technologies that are accessible for patients and families and that are proven to improve health and social care outcomes.

Research interests

Healthcare delivery in 2030 will be vastly different from today. Delivering care closer to people’s homes will be the norm. Hospital-based care will be for the seriously ill. People will be living longer, with multiple comorbidities. Integrated care will be central to delivering of complex care to people who will live longer with multiple comorbid conditions.

Technological innovations such as SMART homes and cities will transform the way we diagnose, treat and manage disease. Increasing amounts of data about patients, their diseases and how these are managed will result in personalised models of care not possible in today’s health system. The social context of people’s lives will be a key determinant in how population health services are determined.

Research areas

Methodological expertise

  • User-led co-design
  • Behaviour change interventions
  • Data mining
  • eHealth system development
  • Implementation and evaluation
  • Creating a living laboratory and simulated environments to provide test beds for new technology

Research areas

The Digital Health research grouping has a range of multidisciplinary collaborations with patient/public groups, academic organisations and health networks (including Surrey Health Partners), healthcare providers and industry both nationally and internationally.

Recent publications

2018

Papachristou N. Barneghi P, Cooper BA, Hu X, Maguire R, Apostolidis K, Armes J, Conley YP, Hammer M, Katsaragakis S, Kober KM, Levine JD, McCann L, Patiraki E, Paul SM, Ream E, Wright F, Miaskowski C. Congruence Between Latent Class and K-Modes Analyses in the Identification of Oncology Patients With Distinct Symptom Experiences. Journal of Pain and Symptom Management. 2018; 55(2): 318 - 333.

2017

Maguire R, Fox PA, McCann L, Miaskowski C, Kotronoulas G, Miller M, Furlong E, Ream E, Armes J, Patiraki E, Gaiger A, Berg GV, Flowerday A, Donnan P, McCrone P, Apostolidis K, Harris J, Katsaragakis S, Buick AR, Kearney N. The eSMART study protocol: a randomised controlled trial to evaluate electronic symptom management using the advanced symptom management system (ASyMS) remote technology for patients with cancer. BMJ Open. 2017; 7: e015016. 

Miaskowski C, Cooper BA, Aouizerat B, Melisko M, Chen LM, Dunn L, Hu X, Kober KM, Mastick J, Levine JD, Hammer M, Wright F, Harris J, Armes J, Furlong E, Fox P, Ream E, Maguire R, Kearney N. The symptom phenotype of oncology outpatients remains relatively stable from prior to through 1 week following chemotherapy. European Journal of Cancer Care. 2017; 26(3). 

2015

Foster C, Calman L, Grimmett C, Breckons M, Cotterell P, Yardley L, Joseph J, Hughes S, Jones R, Leonidou C, Armes J, Batehup L, Corner J, Fenlon D, Lennan E, Morris C, Neylon A, Ream E, Turner L, Richardson A. Managing fatigue after cancer treatment: development of RESTORE, a web-based resource to support self-management. Psychooncology. 2015; 24(8): 940 - 949. 

Maguire R, Ream E, Richardson A, Connaghan J, Johnston B, Kotronoulas G, Pedersen V, McPhelim J, Pattison N, Smith A, Webster L, Taylor A, Kearney N. Development of a novel remote patient monitoring system: the advanced symptom management system for radiotherapy to improve the symptom experience of patients with lung cancer receiving radiotherapy (ASyMS-R). Cancer Nursing. 2015; 38(2): E37-E47. 

2013

Grimmett C, Armes J, Breckons M, Calman L, Corner J, Fenlon D, Hulme C, May CM, May CR, Ream E, Richardson A, Smith PW, Yardley L, Foster C. RESTORE: an exploratory trial of an online intervention to enhance self-efficacy to manage problems associated with cancer-related fatigue following primary cancer treatment: study protocol for a randomized controlled trial. Trials. 2013; 14: 184.

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