Möchten Krankenhausärzte wirklich auf digitale Systeme umsteigen?

Duyck, Philippe; Pynoo, Bram; Devolder, Pieter; Voet, Tony; Adang, Luc; Vercruysse, Jan

doi:10.1055/s-2008-1027344

Cited by 10 publications

(7 citation statements)

References 8 publications

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“…of 33 %, 21 months post-implementation), but PEU was insignificant. Duyck et al [23] also using UTAUT discovered that PU was the best predictor of acceptance, with PEU also being a significant predictor, and the overall model R 2 adj. was 37 % (all PACS-using physicians but not radiologists, 21 months post-implementation).…”

Section: Discussionmentioning

confidence: 99%

“…Duyck at al. [23], using the UTAUT, discovered that the length of experience with PACS led to an overall improved attitude toward PACS. At KAMC, the length of experience using the technology had no direct influence on staff acceptance.…”

Section: Discussionmentioning

confidence: 99%

“…At KAMC, the length of experience using the technology had no direct influence on staff acceptance. This may reflect the particular professional groups surveyed, being radiologists and referring physicians in Duyck et al [23] and additionally including technologists in this study, or it may be due to differences in the training/familiarization programs run at each hospital. The contrasting findings are unlikely to be due to PACS system architecture and features, as the hospitals in the respective studies both use General Electric PACSs.…”

Section: Discussionmentioning

confidence: 99%

“…Published studies of aspects of PACS acceptance include those of Pare and Trudel [3], Duyck et al [6], Hurlen et al [7], Bramson and Bramson [10], Duyck et al [23], Pare et al [24], Pynoo et al [25], and Duyck et al [26]. However, of those, only five studies ([6,23-26]) used a model of technology acceptance to quantitatively investigate PACS acceptance, and as three of the studies ([6,23,26]) used the same questionnaire survey database, just three unique databases are represented in the literature prior to this study. The number of studies of PACS acceptance therefore is remarkably small compared with the widespread, and increasing, use of the system.…”

Section: Introductionmentioning

confidence: 99%

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User acceptance of a picture archiving and communication system (PACS) in a Saudi Arabian hospital radiology department

Aldosari

2012

BMC Med Inform Decis Mak

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BackgroundCompared with the increasingly widespread use of picture archiving and communication systems (PACSs), knowledge concerning users’ acceptance of such systems is limited. Knowledge of acceptance is needed given the large (and growing) financial investment associated with the implementation of PACSs, and because the level of user acceptance influences the degree to which the benefits of the systems for healthcare can be realized.MethodsA Technology Acceptance Model (TAM) was used to assess the level of acceptance of the host PACS by staff in the radiology department at King Abdulaziz Medical City (KAMC), Riyadh, Saudi Arabia. A questionnaire survey of 89 PACS users was employed to obtain data regarding user characteristics, perceived usefulness (PU) (6 items), perceived ease of use (PEU) (4 items), a change construct (4 items), and a behavior (acceptance) construct (9 items). Respondents graded each item in each construct using five-point likert scales.ResultsSurveyed users reported high levels of PU (4.33/5), PEU (4.15/5), change (4.26/5), and acceptance (3.86/5). The three constructs of PU, PEU, and change explained 41 % of the variation in PACS user acceptance. PU was the most important predictor, explaining 38 % of the variation on its own. The most important single item in the explanatory constructs was that users found PACS to have improved the quality of their work in providing better patient care. Technologists had lower acceptance ratings than did clinicians/radiologists, but no influence on acceptance level was found due to gender, age, or length of experience using the PACS. Although not directly measured, there appeared to be no cultural influence on either the level of acceptance or its determinants.ConclusionsUser acceptance must be considered when an organization implements a PACS, in order to enhance its successful adoption. Health organizations should adopt a PACS that offers all required functions and which is likely to generate high PU on the part of its users, rather than a system that is easy to use. Training/familiarization programs should aim at establishing high levels of PU in all users, particularly technologists. Health organizations are advised to measure all the factors that influence the acceptance of a PACS by their staff, in order to optimize the productivity of the system and realize the potential benefits to the greatest extent possible.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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User acceptance of a picture archiving and communication system (PACS) in a Saudi Arabian hospital radiology department

Aldosari

2012

BMC Med Inform Decis Mak

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“…To ensure the internal validity and consistency of the measures, the measurement items for attitude towards AI, intention to use AI, perceived social norm, perceived usefulness, and perceived ease of use were adopted from existing measures derived from technology acceptance literature (Davis,1989;Fishbein & Ajzen, 2010;Venkatesh et al, 2003) that have been used in numerous studies before (e.g., Bach et al, 2016;Haas et al, 2013;Hoque & Sorwar, 2017;Khalilzadeh et al, 2017;Madigan et al, 2016;Mishra et al, 2014;Rahman et al, 2017;Rauschnabel & Ro, 2016;Robinson, 2006;Shih & Fang, 2006;Teo & van Schaik, 2012). Items from UTAUT were mostly adapted from the German versions of Duyck et al (2008) and Fischbach (2019). As little modification as possible was applied to adjust the items to the context of this study.…”

Section: Methodsmentioning

confidence: 99%

Artificial intelligence in psychology: How can we enable psychology students to accept and use artificial intelligence?

Gado

Kempen

Lingelbach

et al. 2021

Psychology Learning & Teaching

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Psychologists with their expertise in statistics and regarding human perception and behavior can contribute valuable insights to the development of innovative and useful artificial intelligence (AI) systems. Therefore, we need to raise attention and curiosity for AI and foster the willingness to engage with it among psychology students. This requires identifying approaches to integrate a general understanding of AI technology into formal psychological training and education. This study investigated to what extent psychology students currently accept and use AI and what affects their perception and usage. Therefore, an AI acceptance model based on established technology acceptance models was developed and tested in a sample of 218 psychology students. An acceptable fit with the data was found for an adapted version. Perceived usefulness and ease of use were most predictive for the students’ attitude towards AI; attitude itself, as well as perceived usefulness, social norm, and perceived knowledge, were predictors for the intention to use AI. In summary, we identified relevant factors for designing AI training approaches in psychology curricula. In this way, possible restraints regarding the use of AI can be reduced and its beneficial opportunities exploited in psychological contexts.

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Monitoring the PACS Implementation Process in a Large University Hospital—Discrepancies Between Radiologists and Physicians

et al. 2008

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Successfully introducing a new technology in a healthcare setting is not a walk in the park. Many barriers need to be overcome, not only technical and financial but also human barriers. In this study, we focus on the human barriers to health-care information systems' implementation. We monitored the acceptance of a Picture Archiving and Communication System (PACS) by radiologists and hospital physicians in a large Belgian university hospital. Hereto, questionnaires were taken pre-implementation (T1) and 1 year after the radiology department stopped printing film (T2). The framework we used to perform the study was the Unified Theory of Acceptance and Use of Technology. Main findings were that both groups were positive toward PACS prior to the introduction and that each group was even more positive at T2 with extensive PACS experience. In general, the ratings of the radiologists were higher than those of the physicians, as the radiologists experienced more of the benefits of PACS and had to use PACS throughout the day. Two factors were salient for predicting users' intention to use PACS: the usefulness of PACS (performance expectancy) and the availability of support of any kind (facilitating conditions). The results show that our approach was successful. Both radiologists and physicians give evidence of an excellent level of user acceptance. We can conclude that the implementation of PACS into our hospital has succeeded.

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Möchten Krankenhausärzte wirklich auf digitale Systeme umsteigen?

Cited by 10 publications

References 8 publications

User acceptance of a picture archiving and communication system (PACS) in a Saudi Arabian hospital radiology department

User acceptance of a picture archiving and communication system (PACS) in a Saudi Arabian hospital radiology department

Artificial intelligence in psychology: How can we enable psychology students to accept and use artificial intelligence?

Monitoring the PACS Implementation Process in a Large University Hospital—Discrepancies Between Radiologists and Physicians

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