BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

160 related articles for article (PubMed ID: 25764024)

  • 1. The influence of telemedicine experience on physicians' perceptions regarding adoption.
    Kuo KM; Talley PC; Lee CM; Yen YC
    Telemed J E Health; 2015 May; 21(5):388-94. PubMed ID: 25764024
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Predictive factors of telemedicine service acceptance and behavioral intention of physicians.
    Rho MJ; Choi IY; Lee J
    Int J Med Inform; 2014 Aug; 83(8):559-71. PubMed ID: 24961820
    [TBL] [Abstract][Full Text] [Related]  

  • 3. An adaptation of the theory of interpersonal behaviour to the study of telemedicine adoption by physicians.
    Gagnon MP; Godin G; Gagné C; Fortin JP; Lamothe L; Reinharz D; Cloutier A
    Int J Med Inform; 2003 Sep; 71(2-3):103-15. PubMed ID: 14519403
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Adoption of clinical decision support systems in a developing country: Antecedents and outcomes of physician's threat to perceived professional autonomy.
    Esmaeilzadeh P; Sambasivan M; Kumar N; Nezakati H
    Int J Med Inform; 2015 Aug; 84(8):548-60. PubMed ID: 25920928
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Physicians' acceptance of electronic medical records exchange: an extension of the decomposed TPB model with institutional trust and perceived risk.
    Hsieh PJ
    Int J Med Inform; 2015 Jan; 84(1):1-14. PubMed ID: 25242228
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Physician acceptance of telemedicine technology: an empirical investigation.
    Hu PJ; Chau PY
    Top Health Inf Manage; 1999 May; 19(4):20-35. PubMed ID: 10387653
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Critical factors influencing physicians' intention to use computerized clinical practice guidelines: an integrative model of activity theory and the technology acceptance model.
    Hsiao JL; Chen RF
    BMC Med Inform Decis Mak; 2016 Jan; 16():3. PubMed ID: 26772169
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Evaluation of teledermatology adoption by health-care professionals using a modified Technology Acceptance Model.
    Orruño E; Gagnon MP; Asua J; Ben Abdeljelil A
    J Telemed Telecare; 2011; 17(6):303-7. PubMed ID: 21844171
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The effects of organizational contextual factors on physicians' attitude toward adoption of Electronic Medical Records.
    Abdekhoda M; Ahmadi M; Gohari M; Noruzi A
    J Biomed Inform; 2015 Feb; 53():174-9. PubMed ID: 25445481
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Determinants of the Intention of Senegal's Physicians to Use Telemedicine in Their Professional Activities.
    Ly BA; Kristjansson E; Labonté R; Bourgeault IL
    Telemed J E Health; 2018 Nov; 24(11):897-898. PubMed ID: 29470109
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Healthcare professionals' use of health clouds: Integrating technology acceptance and status quo bias perspectives.
    Hsieh PJ
    Int J Med Inform; 2015 Jul; 84(7):512-23. PubMed ID: 25842155
    [TBL] [Abstract][Full Text] [Related]  

  • 12. What factors predict physicians' utilization behavior of contrast-enhanced ultrasound? Evidence from the integration of the Theory of Planned Behavior and Technology Acceptance Model using a structural equation modeling approach.
    Deng Q; Zheng Y; Lu J; Zeng Z; Liu W
    BMC Med Inform Decis Mak; 2021 May; 21(1):173. PubMed ID: 34059025
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Towards reinforcing telemedicine adoption amongst clinicians in Nigeria.
    Adenuga KI; Iahad NA; Miskon S
    Int J Med Inform; 2017 Aug; 104():84-96. PubMed ID: 28599820
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Undirected health IT implementation in ambulatory care favors paper-based workarounds and limits health data exchange.
    Djalali S; Ursprung N; Rosemann T; Senn O; Tandjung R
    Int J Med Inform; 2015 Nov; 84(11):920-32. PubMed ID: 26296433
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Understanding physicians' acceptance of the Medline system for practicing evidence-based medicine: a decomposed TPB model.
    Hung SY; Ku YC; Chien JC
    Int J Med Inform; 2012 Feb; 81(2):130-42. PubMed ID: 22047627
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Does information overload prevent chronic patients from reading self-management educational materials?
    Liu CF; Kuo KM
    Int J Med Inform; 2016 May; 89():1-8. PubMed ID: 26980353
    [TBL] [Abstract][Full Text] [Related]  

  • 17. DETERMINANTS OF THE INTENTION TO USE TELEMEDICINE: EVIDENCE FROM PRIMARY CARE PHYSICIANS.
    Saigi-Rubió F; Jiménez-Zarco A; Torrent-Sellens J
    Int J Technol Assess Health Care; 2016 Jan; 32(1-2):29-36. PubMed ID: 27472158
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Implementing technology in healthcare: insights from physicians.
    Ruiz Morilla MD; Sans M; Casasa A; Giménez N
    BMC Med Inform Decis Mak; 2017 Jun; 17(1):92. PubMed ID: 28655299
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Predictive Factors of Physicians' Satisfaction and Quality of Work Under Teleconsultation Conditions: Structural Equation Analysis.
    Hawrysz L; Kludacz-Alessandri M; Walczak R
    JMIR Hum Factors; 2024 Jun; 11():e47810. PubMed ID: 38857081
    [TBL] [Abstract][Full Text] [Related]  

  • 20. A telemedicine survey among Milan doctors.
    Gaggioli A; di Carlo S; Mantovani F; Castelnuovo G; Riva G
    J Telemed Telecare; 2005; 11(1):29-34. PubMed ID: 15829041
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.