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 *

313 related articles for article (PubMed ID: 31357919)

  • 1. Exploring critical factors influencing nurses' intention to use tablet PC in Patients' care using an integrated theoretical model.
    Sun SL; Hwang HG; Dutta B; Peng MH
    Libyan J Med; 2019 Dec; 14(1):1648963. PubMed ID: 31357919
    [TBL] [Abstract][Full Text] [Related]  

  • 2. The Differing Effect of Gender and Clinical Specialty on Physicians' Intention to Use Electronic Medical Record.
    Hwang HG; Dutta B; Chang HC
    Methods Inf Med; 2019 Dec; 58(S 02):e58-e71. PubMed ID: 31499570
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Determining Factors Affecting Nurses' Acceptance of a Care Plan System Using a Modified Technology Acceptance Model 3: Structural Equation Model With Cross-Sectional Data.
    Ho KF; Chang PC; Kurniasari MD; Susanty S; Chung MH
    JMIR Med Inform; 2020 May; 8(5):e15686. PubMed ID: 32369033
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Modeling the adoption of personal health record (PHR) among individual: the effect of health-care technology self-efficacy and gender concern.
    Dutta B; Peng MH; Sun SL
    Libyan J Med; 2018 Dec; 13(1):1500349. PubMed ID: 30037314
    [TBL] [Abstract][Full Text] [Related]  

  • 5. An investigation of the effect of nurses' technology readiness on the acceptance of mobile electronic medical record systems.
    Kuo KM; Liu CF; Ma CC
    BMC Med Inform Decis Mak; 2013 Aug; 13():88. PubMed ID: 23938040
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Development of a tripolar model of technology acceptance: Hospital-based physicians' perspective on EHR.
    Beglaryan M; Petrosyan V; Bunker E
    Int J Med Inform; 2017 Jun; 102():50-61. PubMed ID: 28495348
    [TBL] [Abstract][Full Text] [Related]  

  • 7. An extension of trust and TAM model with IDT in the adoption of the electronic logistics information system in HIS in the medical industry.
    Tung FC; Chang SC; Chou CM
    Int J Med Inform; 2008 May; 77(5):324-35. PubMed ID: 17644029
    [TBL] [Abstract][Full Text] [Related]  

  • 8. "Assessment of the social influence and facilitating conditions that support nurses' adoption of hospital electronic information management systems (HEIMS) in Ghana using the unified theory of acceptance and use of technology (UTAUT) model".
    Zhou LL; Owusu-Marfo J; Asante Antwi H; Antwi MO; Kachie ADT; Ampon-Wireko S
    BMC Med Inform Decis Mak; 2019 Nov; 19(1):230. PubMed ID: 31752840
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Acceptance of clinical decision support system to prevent venous thromboembolism among nurses: an extension of the UTAUT model.
    Zha H; Liu K; Tang T; Yin YH; Dou B; Jiang L; Yan H; Tian X; Wang R; Xie W
    BMC Med Inform Decis Mak; 2022 Aug; 22(1):221. PubMed ID: 35986284
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Applying theory of planned behavior to predict nurses' intention and volunteering to care for SARS patients in southern Taiwan.
    Ko NY; Feng MC; Chiu DY; Wu MH; Feng JY; Pan SM
    Kaohsiung J Med Sci; 2004 Aug; 20(8):389-98. PubMed ID: 15473650
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Intensive care unit staff nurses: predicting factors for career decisions.
    Lai HL; Lin YP; Chang HK; Wang SC; Liu YL; Lee HC; Peng TC; Chang FM
    J Clin Nurs; 2008 Jul; 17(14):1886-96. PubMed ID: 18592616
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Exploring the roles of interaction and flow in explaining nurses' e-learning acceptance.
    Cheng YM
    Nurse Educ Today; 2013 Jan; 33(1):73-80. PubMed ID: 22405340
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Relationship between ethical work climate and nurses' perception of organizational support, commitment, job satisfaction and turnover intent.
    Abou Hashish EA
    Nurs Ethics; 2017 Mar; 24(2):151-166. PubMed ID: 26260440
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Effects of organisational justice, work engagement and nurses' perception of care quality on turnover intention among newly licensed registered nurses: A structural equation modelling approach.
    Cao T; Huang X; Wang L; Li B; Dong X; Lu H; Wan Q; Shang S
    J Clin Nurs; 2020 Jul; 29(13-14):2626-2637. PubMed ID: 32279372
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Reducing turnover intention to improve care outcome: A two-wave study.
    Huang TL; Wong MK; Shyu YL; Ho LH; Yeh JR; Teng CI
    J Adv Nurs; 2021 Jul; 77(7):3083-3092. PubMed ID: 33792970
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Exploring Nurses' Behavioural Intention to Adopt AI Technology: The Perspectives of Social Influence, Perceived Job Stress and Human-Machine Trust.
    Chen CH; Lee WI
    J Adv Nurs; 2024 Sep; ():. PubMed ID: 39340769
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Factors influencing nurses' acceptance of hospital information systems in Iran: application of the Unified Theory of Acceptance and Use of Technology.
    Sharifian R; Askarian F; Nematolahi M; Farhadi P
    Health Inf Manag; 2014; 43(3):23-8. PubMed ID: 27009793
    [TBL] [Abstract][Full Text] [Related]  

  • 18. The effects of information systems quality on nurses' acceptance of the electronic learning system.
    Cheng YM
    J Nurs Res; 2012 Mar; 20(1):19-30. PubMed ID: 22333963
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Patients' acceptance towards a web-based personal health record system: an empirical study in Taiwan.
    Liu CF; Tsai YC; Jang FL
    Int J Environ Res Public Health; 2013 Oct; 10(10):5191-208. PubMed ID: 24142185
    [TBL] [Abstract][Full Text] [Related]  

  • 20. The moderating effects of demographic and individual characteristics on nurses' acceptance of information systems: A canadian study.
    Ifinedo P
    Int J Med Inform; 2016 Mar; 87():27-35. PubMed ID: 26806709
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 16.