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Citing this Article

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Published on 24.01.18 in Vol 6, No 1 (2018): Jan-Mar

This paper is in the following e-collection/theme issue:

Works citing "Quality of Decision Support in Computerized Provider Order Entry: Systematic Literature Review"

Delphine Carli, Guillaume Fahrni, Pascal Bonnabry, Christian Lovis

JMIR Med Inform 2018 (Jan 24); 6(1):e3 

According to Crossref, the following articles are citing this article (DOI 10.2196/medinform.7170):

(note that this is only a small subset of citations)

  1. Buckley MS, Knutson KD, Agarwal SK, Lansburg JM, Wicks LM, Saggar RC, Richards EC, Kopp BJ, Erstad BL. Clinical Pharmacist–Led Impact on Inappropriate Albumin Use and Costs in the Critically Ill. Annals of Pharmacotherapy 2020;54(2):105
    CrossRef
  2. . Training Aspects of Laboratory-Based Decision Support. Clinics in Laboratory Medicine 2019;39(2):303
    CrossRef
  3. Jankovic I, Chen JH. Clinical Decision Support and Implications for the Clinician Burnout Crisis. Yearbook of Medical Informatics 2020;29(01):145
    CrossRef
  4. Rosenbaum MW, Baron JM. Using Machine Learning-Based Multianalyte Delta Checks to Detect Wrong Blood in Tube Errors. American Journal of Clinical Pathology 2018;150(6):555
    CrossRef
  5. Mann D, Hess R, McGinn T, Richardson S, Jones S, Palmisano J, Chokshi SK, Mishuris R, McCullagh L, Park L, Dinh-Le C, Smith P, Feldstein D. Impact of Clinical Decision Support on Antibiotic Prescribing for Acute Respiratory Infections: a Cluster Randomized Implementation Trial. Journal of General Internal Medicine 2020;35(S2):788
    CrossRef
  6. Rudolf JW, Dighe AS. Decision Support Tools within the Electronic Health Record. Clinics in Laboratory Medicine 2019;39(2):197
    CrossRef
  7. . Unlocking the Power of Artificial Intelligence and Big Data in Medicine. Journal of Medical Internet Research 2019;21(11):e16607
    CrossRef
  8. Khalifa M, Magrabi F, Gallego Luxan B. Evaluating the Impact of the Grading and Assessment of Predictive Tools Framework on Clinicians and Health Care Professionals’ Decisions in Selecting Clinical Predictive Tools: Randomized Controlled Trial. Journal of Medical Internet Research 2020;22(7):e15770
    CrossRef
  9. Barnes GD, Sippola E, Dorsch M, Errickson J, Lanham M, Allen A, Spoutz P, Sales AE, Sussman J. Applying population health approaches to improve safe anticoagulant use in the outpatient setting: the DOAC Dashboard multi-cohort implementation evaluation study protocol. Implementation Science 2020;15(1)
    CrossRef
  10. Van Driest SL, Wang L, McLemore MF, Bridges BC, Fleming GM, McGregor TL, Jones DP, Shirey-Rice J, Gatto CL, Gay JC, Byrne DW, Weitkamp A, Roden DM, Bernard G. Acute kidney injury risk-based screening in pediatric inpatients: a pragmatic randomized trial. Pediatric Research 2020;87(1):118
    CrossRef
  11. Muylle KM, Gentens K, Dupont AG, Cornu P. Evaluation of an optimized context-aware clinical decision support system for drug-drug interaction screening. International Journal of Medical Informatics 2021;148:104393
    CrossRef
  12. Poly TN, Islam M, Muhtar MS, Yang H, Nguyen PA, Li Y. Machine Learning Approach to Reduce Alert Fatigue Using a Disease Medication–Related Clinical Decision Support System: Model Development and Validation. JMIR Medical Informatics 2020;8(11):e19489
    CrossRef
  13. Hughes MS, Apostolou A, Reilley B, Leston J, McCollum J, Iralu J. Electronic Health Record Reminders for Chlamydia Screening in an American Indian Population. Public Health Reports 2021;136(3):320
    CrossRef
  14. Wan PK, Satybaldy A, Huang L, Holtskog H, Nowostawski M. Reducing Alert Fatigue by Sharing Low-Level Alerts With Patients and Enhancing Collaborative Decision Making Using Blockchain Technology: Scoping Review and Proposed Framework (MedAlert). Journal of Medical Internet Research 2020;22(10):e22013
    CrossRef
  15. Skalafouris C, Samer C, Stirnemann J, Grosgurin O, Eggimann F, Grauser D, Reny J, Bonnabry P, Guignard B. Electronic monitoring of potential adverse drug events related to lopinavir/ritonavir and hydroxychloroquine during the first wave of COVID-19. European Journal of Hospital Pharmacy 2023;30(2):113
    CrossRef
  16. Ramos SF, Alvarez NR, dos Santos Alcântara T, Sanchez JM, da Costa Lima E, de Lyra Júnior DP. Methods for the detection of adverse drug reactions in hospitalized children: a systematic review. Expert Opinion on Drug Safety 2021;20(10):1225
    CrossRef
  17. Sakhuja A, Bataineh A, Dealmeida D, Bilderback A, Ambrosino R, Fuhrman DY, Kellum JA. Creating a High-Specificity Acute Kidney Injury Detection System for Clinical and Research Applications. American Journal of Kidney Diseases 2021;78(5):764
    CrossRef
  18. Jani YH, Franklin BD. Interruptive alerts: only one part of the solution for clinical decision support. BMJ Quality & Safety 2021;30(12):933
    CrossRef
  19. Skalafouris C, Blanc A, Grosgurin O, Marti C, Samer C, Lovis C, Bonnabry P, Guignard B. Development and retrospective evaluation of a clinical decision support system for the efficient detection of drug-related problems by clinical pharmacists. International Journal of Clinical Pharmacy 2023;45(2):406
    CrossRef
  20. Skalafouris C, Reny J, Stirnemann J, Grosgurin O, Eggimann F, Grauser D, Teixeira D, Jermini M, Bruggmann C, Bonnabry P, Guignard B. Development and assessment of PharmaCheck: an electronic screening tool for the prevention of twenty major adverse drug events. BMC Medical Informatics and Decision Making 2022;22(1)
    CrossRef
  21. Fletcher E, Burns A, Wiering B, Lavu D, Shephard E, Hamilton W, Campbell JL, Abel G. Workload and workflow implications associated with the use of electronic clinical decision support tools used by health professionals in general practice: a scoping review. BMC Primary Care 2023;24(1)
    CrossRef
  22. Stoffel M, Desai S, Laine M, Leu MG, Liao ZC, Jang J, Singh AP, Pozdeyev N, Sutton PR, Wright A, White AA. Lessons Learned from Creating Alert Governance during an Electronic Health Record Transition. ACI Open 2022;06(01):e50
    CrossRef
  23. Muylle KM, van Laere S, Pannone L, Coenen S, de Asmundis C, Dupont AG, Cornu P. Added value of patient‐ and drug‐related factors to stratify drug‐drug interaction alerts for risk of QT prolongation: Development and validation of a risk prediction model. British Journal of Clinical Pharmacology 2023;89(4):1374
    CrossRef
  24. Wake DT, Smith DM, Kazi S, Dunnenberger HM. Pharmacogenomic Clinical Decision Support: A Review, How‐to Guide, and Future Vision. Clinical Pharmacology & Therapeutics 2022;112(1):44
    CrossRef
  25. Satir AN, Pfiffner M, Meier CR, Caduff Good A. Prescribing errors in children: what is the impact of a computerized physician order entry?. European Journal of Pediatrics 2023;182(6):2567
    CrossRef
  26. Stultz JS, Shelton CM, Kiles TM, Wheeler JS. Improvement in Pharmacy Student Responses to Medication-Related Problems with and without Clinical Decision Support Alerts. American Journal of Pharmaceutical Education 2023;87(5):100062
    CrossRef
  27. Dahmke H, Fiumefreddo R, Schuetz P, De Iaco R, Zaugg C. Tackling alert fatigue with a semi-automated clinical decision support system: quantitative evaluation and end-user survey. Swiss Medical Weekly 2023;153(7):40082
    CrossRef
  28. Fournier A, Fallet C, Sadeghipour F, Perrottet N. Assessing the applicability and appropriateness of ChatGPT in answering clinical pharmacy questions. Annales Pharmaceutiques Françaises 2024;82(3):507
    CrossRef
  29. Jung W, Yu J, Park H, Chae MK, Lee SS, Choi JS, Kang M, Chang DK, Cha WC. Effect of knowledgebase transition of a clinical decision support system on medication order and alert patterns in an emergency department. Scientific Reports 2023;13(1)
    CrossRef