How are ontologies implemented to represent clinical practice guidelines in clinical decision support systems: protocol for a systematic review

Sadeghi-Ghyassi, Fatemeh; Damanabi, Shahla; Kalankesh, Leila R; Velde, Stijn Van de; Feizi‐Derakhshi, Mohammad‐Reza; Hajebrahimi, Sakineh

doi:10.1186/s13643-022-02063-7

Cited by 3 publications

(1 citation statement)

References 27 publications

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“…However, sometimes data security and privacy concerns affect the development of decision support systems ( 63 ). Clinical decision support refers to the integration of electronic medical records and other clinical information through computer technology, automatic processing of patient data, and intelligent medical and nursing recommendations to provide the best plan to help patients make the best clinical decision ( 64 ). Clinical decision support is used in the management of many chronic diseases, such as hypertension ( 65 ) and advanced heart failure ( 66 ).…”

Section: Discussionmentioning

confidence: 99%

Mobile health management among end stage renal disease patients: a scoping review

Wen,

Ruan,

2024

Front. Med.

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AimsThe health management of end-stage renal disease patients is a complicated process, and mobile health management technology provides a new choice for the health management of end-stage renal disease patients. The scope of clinical studies on mobile health management for patients with end-stage renal disease was reviewed, and found that about mobile health management problems existing in the literature were identified to provide ideas for subsequent mobile health management research.MethodsThe databases Web of Science, PubMed, The Cochrane Library, Embase, CNKI, Wan Fang Data, BMJ, and VIP were systematically searched for studies on Mobile health management among end-stage renal disease in adult and adolescent patients or children undergoing kidney replacement therapy. The search covered the period from the inception of the databases to June 20, 2023. Two independent reviewers conducted the literature screening process. Following eligibility screening, a total of 38 papers were included for data extraction and descriptive analysis.ResultsA total of 38 studies from 14 countries were finally included. The majority of which were interventional trials. The platforms used in these studies included remote monitoring systems, apps, websites, mobile phones or tablets, and social platforms. These platforms provided patients with a wide range of services, including disease management, behavioral intervention, social support, and follow-up care. Most studies focused on patient clinical indicators, patient experience, quality of life, and healthcare costs.ConclusionOur findings that mobile health management has been widely used in disease management of end-stage renal disease patients, with rich management content and many evaluation indicators. Future studies should strengthen the evaluation of patients’ mental health, quality of life, and healthcare costs. Additionally, developing a clinical decision support system would enable mobile health management to play a more effective role in end-stage renal disease patients.

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