Opportunities for digitally-enabled personalization and decision support for pediatric growth hormone therapy

Front Endocrinol (Lausanne). 2024 Oct 15:15:1436778. doi: 10.3389/fendo.2024.1436778. eCollection 2024.

Abstract

Smart technologies and connected health are providing opportunities for improved healthcare for chronic conditions. Acceptance by healthcare professionals (HCPs) and patients is crucial for successful implementation. Evidence-based standards, technological infrastructure and regulatory processes are needed to integrate digital tools into clinical practice. Personal health records provide continuity and aid decision-making, while machine-learning algorithms may help in optimizing therapies and improving outcomes. Digital healthcare can negate geographical barriers, enabling patients in remote areas to access specialist endocrine expertise. We review available and developing digital tools to manage care for patients requiring growth hormone (GH) therapy for growth failure conditions. GH is most often administered via daily injections over several years; continuous adherence is necessary but may become insufficient. Future development and integration of electronic platforms for GH therapy requires involvement of all stakeholders in design-thinking approaches and human-factor testing. Growzen Connect is an innovative digital ecosystem designed to increase the management and monitoring of GH therapy, comprising the easypod device and connected mobile apps. It provides a real-time overview of a patient's therapy, including adherence and growth response, which aids decision-making by HCPs and empowers patients to engage in their therapy journey. Incorporating prediction models for adherence and growth in the ecosystem helps patients build treatment habits and allows issues to be addressed in a timely fashion. A connected ecosystem for GH therapy can enhance outcomes and empower patients, fostering a collaborative and patient-centered approach that is more proactive, beyond the traditional clinic-based approach.

Keywords: decision support; digital; growth hormone; pediatric; technology.

Publication types

  • Review

MeSH terms

  • Child
  • Decision Support Systems, Clinical
  • Growth Disorders / drug therapy
  • Human Growth Hormone* / administration & dosage
  • Human Growth Hormone* / therapeutic use
  • Humans
  • Precision Medicine / methods
  • Telemedicine

Substances

  • Human Growth Hormone

Grants and funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was funded by Merck (CrossRef Funder ID: 10.13039/100009945). The funder had a role in the study design, execution and analysis, and manuscript conception, planning, writing and decision to publish.