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. 2023 Nov 9:9:20552076231211551.
doi: 10.1177/20552076231211551. eCollection 2023 Jan-Dec.

Moving from development to implementation of digital innovations within the NHS: myHealthE, a remote monitoring system for tracking patient outcomes in child and adolescent mental health services

Affiliations

Moving from development to implementation of digital innovations within the NHS: myHealthE, a remote monitoring system for tracking patient outcomes in child and adolescent mental health services

Anna C Morris et al. Digit Health. .

Abstract

Objective: This paper aims to report our experience of developing, implementing, and evaluating myHealthE (MHE), a digital innovation for Child and Adolescents Mental Health Services (CAMHS), which automates the remote collection and reporting of Patient-Reported Outcome Measures (PROMs) into National Health Services (NHS) electronic healthcare records.

Methods: We describe the logistical and governance issues encountered in developing the MHE interface with patient-identifiable information, and the steps taken to overcome these development barriers. We describe the application's architecture and hosting environment to enable its operability within the NHS, as well as the capabilities needed within the technical team to bridge the gap between academic development and NHS operational teams.

Results: We present evidence on the feasibility and acceptability of this system within clinical services and the process of iterative development, highlighting additional functions that were incorporated to increase system utility.

Conclusion: This article provides a framework with which to plan, develop, and implement automated PROM collection from remote devices back to NHS infrastructure. The challenges and solutions described in this paper will be pertinent to other digital health innovation researchers aspiring to deploy interoperable systems within NHS clinical systems.

Keywords: Digital health; electronic; general; health; mHealth; medicine; mental health; mixed methods; online; outcomes; paediatrics; personalised medicine; psychology; studies; wellbeing.

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Conflict of interest statement

The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

Figures

Figure 1.
Figure 1.
MHE extraction and imputation data flow process.
Figure 2.
Figure 2.
Summary of MHE translational challenges and solutions.
Figure 3.
Figure 3.
Internal MHE architecture.
Figure 4.
Figure 4.
MHE development and implementation timeline.

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