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Overview
Long-term growth management can be challenging for patients, families and healthcare professionals [Child, 2020], and poor adherence to growth hormone treatment is a well-recognised issue [Savage, 2022]. Suboptimal adherence to rhGH therapy has been documented to substantially impair the growth response and attainment of adult height within the genetic target range [Savage, 2022]. Technology is being used increasingly to help adherence to growth hormone. Most visibly, it is used to alert healthcare professionals to an individual patient’s missed dose. Once aware of the lack of medication use (by software linked to the medication device), trained healthcare professionals can contact the patient and their family to discuss the poor adherence and its circumstances. This digital detection of sub-optimal adherence to growth hormone therapy has made a significant difference to overall long-term growth responses [Savage, 2025; Dunkel, 2021]. The availability of patient data from connected devices provides an opportunity for the use of artificial intelligence to predict adherence and personalise patient support, [Dimitri, 2021] empowering patients to engage in their therapy journey to establish collaborative, proactive and patient-centred care [Dimitri, Front Endocrinol (Lausanne), 2024].
Learning Objectives
At the end of this activity, learners should be able to:
- • Evaluate the role of AI and other technological advances in enhancing clinical care of patients with short stature
- • Appreciate that digital technology can improve patient adherence to rhGH
Target Audience
Clinicians, particularly paediatricians, working in growth disorder management and those in general practice; some content of interest to specialist growth disorder nurses.
Language
English with voice-over into Spanish and Korean
Podcast & Infographic
How digital technology and AI can help improve adherence in growth disorder management