These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

86 related articles for article (PubMed ID: 26292558)

  • 1. Understanding information synthesis in oral surgery for the design of systems for clinical information technology.
    Suebnukarn S; Chanakarn P; Phisutphatthana S; Pongpatarat K; Wongwaithongdee U; Oupadissakoon C
    Br J Oral Maxillofac Surg; 2015 Dec; 53(10):968-75. PubMed ID: 26292558
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Hemispheric activation differences in novice and expert clinicians during clinical decision making.
    Hruska P; Hecker KG; Coderre S; McLaughlin K; Cortese F; Doig C; Beran T; Wright B; Krigolson O
    Adv Health Sci Educ Theory Pract; 2016 Dec; 21(5):921-933. PubMed ID: 26530736
    [TBL] [Abstract][Full Text] [Related]  

  • 3. How novice and expert anaesthetists understand expertise in anaesthesia: a qualitative study.
    St Pierre M; Nyce JM
    BMC Med Educ; 2020 Aug; 20(1):262. PubMed ID: 32787964
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Deepening the quality of clinical reasoning and decision-making in rural hospital nursing practice.
    Sedgwick MG; Grigg L; Dersch S
    Rural Remote Health; 2014; 14(3):2858. PubMed ID: 25209421
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Cognitive evaluation of decision making processes and assessment of information technology in medicine.
    Kushniruk AW; Patel VL
    Int J Med Inform; 1998; 51(2-3):83-90. PubMed ID: 9794325
    [TBL] [Abstract][Full Text] [Related]  

  • 6. How do children's nurses make clinical decisions? Two preliminary studies.
    Twycross A; Powls L
    J Clin Nurs; 2006 Oct; 15(10):1324-35. PubMed ID: 16968437
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Characterizing novice-expert differences in macrocognition: an exploratory study of cognitive work in the emergency department.
    Schubert CC; Denmark TK; Crandall B; Grome A; Pappas J
    Ann Emerg Med; 2013 Jan; 61(1):96-109. PubMed ID: 23036439
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Clinical decision-making and adaptive expertise in residency: a think-aloud study.
    Gamborg ML; Mehlsen M; Paltved C; Vetter SS; Musaeus P
    BMC Med Educ; 2023 Jan; 23(1):22. PubMed ID: 36635669
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Using cognitive task analysis to identify critical decisions in the laparoscopic environment.
    Craig C; Klein MI; Griswold J; Gaitonde K; McGill T; Halldorsson A
    Hum Factors; 2012 Dec; 54(6):1025-39. PubMed ID: 23397811
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Registered nurses' clinical reasoning in home healthcare clinical practice: A think-aloud study with protocol analysis.
    Johnsen HM; Slettebø Å; Fossum M
    Nurse Educ Today; 2016 May; 40():95-100. PubMed ID: 27125156
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Exploring the clinical decision-making used by experienced cardiorespiratory physiotherapists: A mixed method qualitative design of simulation, video recording and think aloud techniques.
    Thackray D; Roberts L
    Nurse Educ Today; 2017 Feb; 49():96-105. PubMed ID: 27894028
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Comparison of 'think aloud' and observation as data collection methods in the study of decision making regarding sedation in intensive care patients.
    Aitken LM; Marshall A; Elliott R; McKinley S
    Int J Nurs Stud; 2011 Mar; 48(3):318-25. PubMed ID: 21056417
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Integrating usability testing and think-aloud protocol analysis with "near-live" clinical simulations in evaluating clinical decision support.
    Li AC; Kannry JL; Kushniruk A; Chrimes D; McGinn TG; Edonyabo D; Mann DM
    Int J Med Inform; 2012 Nov; 81(11):761-72. PubMed ID: 22456088
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Analysis of complex decision-making processes in health care: cognitive approaches to health informatics.
    Kushniruk AW
    J Biomed Inform; 2001 Oct; 34(5):365-76. PubMed ID: 12123153
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Task complexity and nursing expertise as factors in decision making.
    Corcoran SA
    Nurs Res; 1986; 35(2):107-12. PubMed ID: 3633505
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Avoiding and identifying errors in health technology assessment models: qualitative study and methodological review.
    Chilcott J; Tappenden P; Rawdin A; Johnson M; Kaltenthaler E; Paisley S; Papaioannou D; Shippam A
    Health Technol Assess; 2010 May; 14(25):iii-iv, ix-xii, 1-107. PubMed ID: 20501062
    [TBL] [Abstract][Full Text] [Related]  

  • 17. A comparison of novice and expert nurses' cue collection during clinical decision-making: verbal protocol analysis.
    Hoffman KA; Aitken LM; Duffield C
    Int J Nurs Stud; 2009 Oct; 46(10):1335-44. PubMed ID: 19555954
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Analysis of medical decision making: a cognitive perspective on medical informatics.
    Kushniruk A; Patel V; Fleiszer D
    Proc Annu Symp Comput Appl Med Care; 1995; ():193-7. PubMed ID: 8563265
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Modelling novice clinical reasoning for a computerized decision support system.
    ONeill ES; Dluhy NM; Chin E
    J Adv Nurs; 2005 Jan; 49(1):68-77. PubMed ID: 15610383
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Deriving Effective Decision-Making Strategies of Prosthetists: Using Hidden Markov Modeling and Qualitative Analysis to Compare Experts and Novices.
    Saravanan P; Menold J
    Hum Factors; 2022 Feb; 64(1):188-206. PubMed ID: 34348518
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 5.