276 related articles for article (PubMed ID: 36269653)
1. Desired Characteristics of a Clinical Decision Support System for Early Sepsis Recognition: Interview Study Among Hospital-Based Clinicians.
Silvestri JA; Kmiec TE; Bishop NS; Regli SH; Weissman GE
JMIR Hum Factors; 2022 Oct; 9(4):e36976. PubMed ID: 36269653
[TBL] [Abstract][Full Text] [Related]
2. Academic Detailing as a Health Information Technology Implementation Method: Supporting the Design and Implementation of an Emergency Department-Based Clinical Decision Support Tool to Prevent Future Falls.
Barton HJ; Maru A; Leaf MA; Hekman DJ; Wiegmann DA; Shah MN; Patterson BW
JMIR Hum Factors; 2024 Apr; 11():e52592. PubMed ID: 38635318
[TBL] [Abstract][Full Text] [Related]
3. The implementation, use and sustainability of a clinical decision support system for medication optimisation in primary care: A qualitative evaluation.
Jeffries M; Salema NE; Laing L; Shamsuddin A; Sheikh A; Avery A; Chuter A; Waring J; Keers RN
PLoS One; 2021; 16(5):e0250946. PubMed ID: 33939750
[TBL] [Abstract][Full Text] [Related]
4. Factors Influencing Clinician Trust in Predictive Clinical Decision Support Systems for In-Hospital Deterioration: Qualitative Descriptive Study.
Schwartz JM; George M; Rossetti SC; Dykes PC; Minshall SR; Lucas E; Cato KD
JMIR Hum Factors; 2022 May; 9(2):e33960. PubMed ID: 35550304
[TBL] [Abstract][Full Text] [Related]
5. Applying Clinical Decision Support Design Best Practices With the Practical Robust Implementation and Sustainability Model Versus Reliance on Commercially Available Clinical Decision Support Tools: Randomized Controlled Trial.
Trinkley KE; Kroehl ME; Kahn MG; Allen LA; Bennett TD; Hale G; Haugen H; Heckman S; Kao DP; Kim J; Matlock DM; Malone DC; Page Nd RL; Stine J; Suresh K; Wells L; Lin CT
JMIR Med Inform; 2021 Mar; 9(3):e24359. PubMed ID: 33749610
[TBL] [Abstract][Full Text] [Related]
6. Implementation strategies to address the determinants of adoption, implementation, and maintenance of a clinical decision support tool for emergency department buprenorphine initiation: a qualitative study.
Simpson MJ; Ritger C; Hoppe JA; Holland WC; Morris MA; Nath B; Melnick ER; Tietbohl C
Implement Sci Commun; 2023 Apr; 4(1):41. PubMed ID: 37081581
[TBL] [Abstract][Full Text] [Related]
7. Clinicians' Values and Preferences for Medication Adherence and Cost Clinical Decision Support in Primary Care: A Qualitative Study.
Bhat S; Derington CG; Trinkley KE
Appl Clin Inform; 2020 May; 11(3):405-414. PubMed ID: 32492717
[TBL] [Abstract][Full Text] [Related]
8. Barriers to and Facilitators for Acceptance of Comprehensive Clinical Decision Support System-Driven Care Maps for Patients With Thoracic Trauma: Interview Study Among Health Care Providers and Nurses.
Jones EK; Banks A; Melton GB; Porta CM; Tignanelli CJ
JMIR Hum Factors; 2022 Mar; 9(1):e29019. PubMed ID: 35293873
[TBL] [Abstract][Full Text] [Related]
9. Designing a Novel Clinician Decision Support Tool for the Management of Acute Diarrhea in Bangladesh: Formative Qualitative Study.
Rosen RK; Garbern SC; Gainey M; Lantini R; Nasrin S; Nelson EJ; Elshabassi N; Alam NH; Sultana S; Hasnin T; Qu K; Schmid CH; Levine AC
JMIR Hum Factors; 2022 Mar; 9(1):e33325. PubMed ID: 35333190
[TBL] [Abstract][Full Text] [Related]
10. A Quantitative Study of Decision Thresholds for Initiation of Antibiotics in Suspected Sepsis.
Taylor SP; Weissman GE; Kowalkowski M; Admon AJ; Skewes S; Xia Y; Chou SH
Med Decis Making; 2023 Feb; 43(2):175-182. PubMed ID: 36062810
[TBL] [Abstract][Full Text] [Related]
11. Clinician Perception of a Machine Learning-Based Early Warning System Designed to Predict Severe Sepsis and Septic Shock.
Ginestra JC; Giannini HM; Schweickert WD; Meadows L; Lynch MJ; Pavan K; Chivers CJ; Draugelis M; Donnelly PJ; Fuchs BD; Umscheid CA
Crit Care Med; 2019 Nov; 47(11):1477-1484. PubMed ID: 31135500
[TBL] [Abstract][Full Text] [Related]
12. Healthcare stakeholders' perceptions and experiences of factors affecting the implementation of critical care telemedicine (CCT): qualitative evidence synthesis.
Xyrichis A; Iliopoulou K; Mackintosh NJ; Bench S; Terblanche M; Philippou J; Sandall J
Cochrane Database Syst Rev; 2021 Feb; 2(2):CD012876. PubMed ID: 33599282
[TBL] [Abstract][Full Text] [Related]
13. Cognitive task analysis of clinicians' drug-drug interaction management during patient care and implications for alert design.
Russ-Jara AL; Elkhadragy N; Arthur KJ; DiIulio JB; Militello LG; Ifeachor AP; Glassman PA; Zillich AJ; Weiner M
BMJ Open; 2023 Dec; 13(12):e075512. PubMed ID: 38040422
[TBL] [Abstract][Full Text] [Related]
14. Sepsis Prediction in Hospitalized Children: Clinical Decision Support Design and Deployment.
Stephen RJ; Lucey K; Carroll MS; Hoge J; Maciorowski K; Jones RC; O'Connell M; Schwab C; Rojas J; Sanchez Pinto LN
Hosp Pediatr; 2023 Sep; 13(9):751-759. PubMed ID: 37599646
[TBL] [Abstract][Full Text] [Related]
15. Clinician Perception of the Effectiveness of an Automated Early Warning and Response System for Sepsis in an Academic Medical Center.
Guidi JL; Clark K; Upton MT; Faust H; Umscheid CA; Lane-Fall MB; Mikkelsen ME; Schweickert WD; Vanzandbergen CA; Betesh J; Tait G; Hanish A; Smith K; Feeley D; Fuchs BD
Ann Am Thorac Soc; 2015 Oct; 12(10):1514-9. PubMed ID: 26288388
[TBL] [Abstract][Full Text] [Related]
16. Nurses' perceptions of the design, implementation, and adoption of machine learning clinical decision support: A descriptive qualitative study.
Wieben AM; Alreshidi BG; Douthit BJ; Sileo M; Vyas P; Steege L; Gilmore-Bykovskyi A
J Nurs Scholarsh; 2024 Jun; ():. PubMed ID: 38898636
[TBL] [Abstract][Full Text] [Related]
17. Clinician preferences for computerised clinical decision support for medications in primary care: a focus group study.
Trinkley KE; Blakeslee WW; Matlock DD; Kao DP; Van Matre AG; Harrison R; Larson CL; Kostman N; Nelson JA; Lin CT; Malone DC
BMJ Health Care Inform; 2019 Apr; 26(1):0. PubMed ID: 31039120
[TBL] [Abstract][Full Text] [Related]
18. Clinician perceptions of a clinical decision support system to reduce cardiovascular risk among prediabetes patients in a predominantly rural healthcare system.
Saman DM; Allen CI; Freitag LA; Harry ML; Sperl-Hillen JM; Ziegenfuss JY; Haapala JL; Crain AL; Desai JR; Ohnsorg KA; O'Connor PJ
BMC Med Inform Decis Mak; 2022 Nov; 22(1):301. PubMed ID: 36402988
[TBL] [Abstract][Full Text] [Related]
19. Examining Care Planning Efficiency and Clinical Decision Support Adoption in a System Tailoring to Nurses' Graph Literacy: National, Web-Based Randomized Controlled Trial.
Yao Y; Dunn Lopez K; Bjarnadottir RI; Macieira TGR; Dos Santos FC; Madandola OO; Cho H; Priola KJB; Wolf J; Wilkie DJ; Keenan G
J Med Internet Res; 2023 Aug; 25():e45043. PubMed ID: 37566456
[TBL] [Abstract][Full Text] [Related]
20. Development and Integration of Machine Learning Algorithm to Identify Peripheral Arterial Disease: Multistakeholder Qualitative Study.
Wang SM; Hogg HDJ; Sangvai D; Patel MR; Weissler EH; Kellogg KC; Ratliff W; Balu S; Sendak M
JMIR Form Res; 2023 Sep; 7():e43963. PubMed ID: 37733427
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
