Digital health and acute kidney injury: consensus report of the 27th Acute Disease Quality Initiative workgroup
Digital health and acute kidney injury: consensus report of the 27th Acute Disease Quality Initiative workgroup
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DOI：
10.1038/s41581-023-00744-7
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发表时间：
2023-08-14
影响因子：
41.5
通讯作者：
Mehta，Ravindra L.
中科院分区：
文献类型：
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作者：
Kashani，Kianoush B.;Awdishu，Linda;Mehta，Ravindra L.
急性肾损伤(AKI)是急性疾病的常见并发症，在社区、急性护理和急性后护理环境中影响个人健康。尽管在过去的几十年里，人们对AKI的认识、预防和治疗有所进步，但它的发病率和相关的发病率、死亡率和医疗负担仍然令人难以承受。数字技术的快速增长为改善患者护理提供了一个新的平台，报告显示，在护理过程中以及在某些情况下，对患者结果的好处是显而易见的。然而，尽管取得了很大进展，但使用数字技术管理AKI的潜在好处尚未完全探索或在临床实践中实施。AKI的数字健康研究显示了各种益处的证据，而数字鸿沟意味着获得数字技术是不公平的。上游研发成本、利益相关者参与和接受度有限，以及数字健康解决方案的可扩展性差，阻碍了它们的广泛实施和使用。在这里，我们提供来自急性疾病质量倡议共识会议的建议，成人和儿童肾脏病、重症护理、药剂学和数据科学的专家参加了会议，会上讨论了使用数字健康来预测、预防、识别和管理AKI的风险及其后果。
Acute kidney injury (AKI), which is a common complication of acute illnesses, affects the health of individuals in community, acute care and post-acute care settings. Although the recognition, prevention and management of AKI has advanced over the past decades, its incidence and related morbidity, mortality and health care burden remain overwhelming. The rapid growth of digital technologies has provided a new platform to improve patient care, and reports show demonstrable benefits in care processes and, in some instances, in patient outcomes. However, despite great progress, the potential benefits of using digital technology to manage AKI has not yet been fully explored or implemented in clinical practice. Digital health studies in AKI have shown variable evidence of benefits, and the digital divide means that access to digital technologies is not equitable. Upstream research and development costs, limited stakeholder participation and acceptance, and poor scalability of digital health solutions have hindered their widespread implementation and use. Here, we provide recommendations from the Acute Disease Quality Initiative consensus meeting, which involved experts in adult and paediatric nephrology, critical care, pharmacy and data science, at which the use of digital health for risk prediction, prevention, identification and management of AKI and its consequences was discussed.