Paediatric disorders of impaired linear growth are challenging to manage, in part because of delays in the identification of pathological short stature and subsequent referral and diagnosis, the requirement for long-term therapy, and frequent poor adherence to treatment, notably with human growth hormone (hGH). Digital health technologies hold promise for improving outcomes in paediatric growth disorders by supporting personalisation of care, from diagnosis to treatment and follow up. The value of automated systems in monitoring linear growth in children has been demonstrated in Finland, with findings that such a system is more effective than a traditional manual system for early diagnosis of abnormal growth. Artificial intelligence has potential to resolve problems of variability that may occur during analysis of growth information, and augmented reality systems have been developed that aim to educate patients and caregivers about growth disorders and their treatment (such as injection techniques for hGH administration). Adherence to hGH treatment is often suboptimal, which negatively impacts the achievement of physical and psychological benefits of the treatment. Personalisation of adherence support necessitates capturing individual patient adherence data; the use of technology to assist with this is exemplified by the use of an electronic injection device, which shares real-time recordings of the timing, date and dose of hGH delivered to the patient with the clinician, via web-based software. The use of an electronic device is associated with high levels of adherence to hGH treatment and improved growth outcomes. It can be anticipated that future technological advances, coupled with continued ‘human interventions’ from healthcare providers, will further improve management of paediatric growth disorders.

线性生长受损的儿科疾病难以管理，部分原因是延迟发现病理性身材矮小和随后的转诊和诊断，需要长期治疗，以及治疗依从性差，尤其是人类生长激素治疗。 hGH)。数字健康技术通过支持从诊断到治疗和随访的个性化护理，有望改善儿科生长障碍的结果。自动化系统在监测儿童线性生长方面的价值已在芬兰得到证明，发现这种系统比传统的手动系统更有效地早期诊断异常生长。人工智能具有解决生长信息分析过程中可能出现的可变性问题的潜力，和增强现实系统已经开发出来，旨在对患者和护理人员进行有关生长障碍及其治疗的教育（例如用于 hGH 给药的注射技术）。对 hGH 治疗的依从性通常不是最理想的，这会对治疗的身体和心理益处的实现产生负面影响。依从性支持的个性化需要捕获个体患者的依从性数据；使用电子注射设备可以帮助实现这一点，该设备通过基于网络的软件与临床医生共享实时记录的时间、日期和剂量的 hGH 交付给患者。电子设备的使用与对 hGH 治疗的高水平依从性和改善的生长结果有关。可以预见，未来的技术进步，