ArticleArtificial intelligence in medicine2018
Pediatric decision support using adapted Arden Syntax.
Article in Artificial intelligence in medicine, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed.
- Adolescent suicide assessment and management in primary care.BMC pediatrics · 2022Trial
- Effect of a Computer-Based Decision Support Intervention on Autism Spectrum Disorder Screening in Pediatric Primary Care Clinics: A Cluster Randomized Clinical Trial.JAMA network open · 2019Trial
- Effectiveness of Computer Automation for the Diagnosis and Management of Childhood Type 2 Diabetes: A Randomized Clinical Trial.JAMA pediatrics · 2017Trial
- A comprehensive overview of barriers and strategies for AI implementation in healthcare: Mixed-method design.PloS one · 2024Review
- Barriers and Enablers for Implementation of an Artificial Intelligence-Based Decision Support Tool to Reduce the Risk of Readmission of Patients With Heart Failure: Stakeholder Interviews.JMIR formative research · 2023Article
- Artificial Intelligence Applications in Health Care Practice: Scoping Review.Journal of medical Internet research · 2022Article
- The Untapped Potential of Nursing and Allied Health Data for Improved Representation of Social Determinants of Health and Intersectionality in Artificial Intelligence Applications: A Rapid Review.Yearbook of medical informatics · 2022Review
- Feasibility of computerized clinical decision support for pediatric to adult care transitions for patients with special healthcare needs.JAMIA open · 2021Article
- How can healthcare professionals provide guidance and support to parents of adolescents? Results from a primary care-based study.BMC health services research · 2021Article
- Improving Patient-Centered Communication about Sudden Unexpected Death in Epilepsy through Computerized Clinical Decision Support.Applied clinical informatics · 2021Article
- Proteomics and Metabolomics Approaches towards a Functional Insight onto AUTISM Spectrum Disorders: Phenotype Stratification and Biomarker Discovery.International journal of molecular sciences · 2020Review
- Clinician Perceptions of a Computerized Decision Support System for Pediatric Type 2 Diabetes Screening.Applied clinical informatics · 2020Article
- Caregiver Comfort in Adolescents Independently Completing Screening Tablet-Based Questionnaires at Primary Care Visits.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2019Article
- Prevalence of pain reports in pediatric primary care and association with demographics, body mass index, and exam findings: a cross-sectional study.BMC pediatrics · 2018Observational
- Characteristics Associated with Confidential Consultation for Adolescents in Primary Care.The Journal of pediatrics · 2018Article
- A six-year repeated evaluation of computerized clinical decision support system user acceptability.International journal of medical informatics · 2018Article
- Suicide Screening in Primary Care: Use of an Electronic Screener to Assess Suicidality and Improve Provider Follow-Up for Adolescents.The Journal of adolescent health : official publication of the Society for Adolescent Medicine · 2018Article
- Computerized Clinical Decision Support: Contributions from 2015.Yearbook of medical informatics · 2016Article
- Physicians in the Era of Automation: The Case for Clinical Expertise.MDM policy & practiceArticle
- The Natural Course of Adolescent Depression Treatment in the Primary Care Setting.Journal of pediatric health care : official publication of National Association of Pediatric Nurse Associates & PractitionersArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
backgroundPediatric guidelines based care is often overlooked because of the constraints of a typical office visit and the sheer number of guidelines that may exist for a patient's visit. In response to this problem, in 2004 we developed a pediatric computer based clinical decision support system using Arden Syntax medical logic modules (MLM).
methodsThe Child Health Improvement through Computer Automation system (CHICA) screens patient families in the waiting room and alerts the physician in the exam room. Here we describe adaptation of Arden Syntax to support production and consumption of patient specific tailored documents for every clinical encounter in CHICA and describe the experiments that demonstrate the effectiveness of this system.
resultsAs of this writing CHICA has served over 44,000 patients at 7 pediatric clinics in our healthcare system in the last decade and its MLMs have been fired 6182,700 times in "produce" and 5334,021 times in "consume" mode. It has run continuously for over 10 years and has been used by 755 physicians, residents, fellows, nurse practitioners, nurses and clinical staff. There are 429 MLMs implemented in CHICA, using the Arden Syntax standard. Studies of CHICA's effectiveness include several published randomized controlled trials.
conclusionsOur results show that the Arden Syntax standard provided us with an effective way to represent pediatric guidelines for use in routine care. We only required minor modifications to the standard to support our clinical workflow. Additionally, Arden Syntax implementation in CHICA facilitated the study of many pediatric guidelines in real clinical environments.
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