What influences clinician’s satisfaction with radiology services?

Lindsay, Richard; McKinstry, Steven; Vallely, Stephen; Thornbury, G. D.

doi:10.1007/s13244-011-0099-y

Cited by 13 publications

(19 citation statements)

References 10 publications

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“…Some studies have investigated the impact of PACS on patient length of stay. The findings of these studies [ 37 – 39 ] showed that this system can reduce the duration of patient stay at hospital. However, a previous study [ 40 ] showed that PACS does not affect the patients’ length of stay at hospital.…”

Section: Discussionmentioning

confidence: 99%

Investigating the satisfaction level of physicians in regards to implementing medical Picture Archiving and Communication System (PACS)

Abbasi

Jabali

Khajouei

et al. 2020

BMC Med Inform Decis Mak

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Background: User satisfaction with PACS is considered as one of the important criteria for assessing success in using PACS. The objective of this study was to determine the level of user satisfaction with PACS and to compare its functional features with traditional film-based systems. Methods: This study was conducted in 2017. Residents at three large university hospitals in Kerman filled-out a selfadministered questionnaire consisting of three parts: demographic information of participants, user satisfaction with PACS, comparing features of the two digital and traditional imaging systems. The validity of this questionnaire was approved by five medical informatics, radiology, and health information management specialists and its reliability was confirmed by Cronbach's alpha (86%). Data were analyzed using descriptive statistics and the Spearman, Mann Whitney U and Kruskal-Wallis statistical tests. Results: The mean of the participants' ages was 31.4 (±4.4) years and 59% of the participants were females. The mean of physicians' satisfaction with PACS' had no significant relationship with their age (P = 0.611), experience of using PACS (P = 0.301), specialty (P = 0.093), and percent of interpretation of images with PACS (P = 0.762). It had a significant relationship with the participants' computer skills (P = 0.022). Conclusions: The mean of physicians' satisfaction with PACS was at a moderate to a high level, yet there are still problems in the successful implementation of these systems and establishing interoperability between them. PACS has not fully met all the demands of physicians and has not achieved its predetermined objectives, such as allaccess from different locations.

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Section: Discussionmentioning

confidence: 99%

Investigating the satisfaction level of physicians in regards to implementing medical Picture Archiving and Communication System (PACS)

Abbasi

Jabali

Khajouei

et al. 2020

BMC Med Inform Decis Mak

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“…& Increased productivity and decreased reporting time, which can impact clinician's and radiologist's satisfaction [18] & Increased time spent with patients, which can impact patient's and radiologist's satisfaction [19]…”

Section: Some Of the Benefits And Outcome Measures To Consider From Tmentioning

confidence: 99%

To buy or not to buy—evaluating commercial AI solutions in radiology (the ECLAIR guidelines)

Omoumi

Ducarouge²,

Tournier³

et al. 2021

Eur Radiol

109

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Artificial intelligence (AI) has made impressive progress over the past few years, including many applications in medical imaging. Numerous commercial solutions based on AI techniques are now available for sale, forcing radiology practices to learn how to properly assess these tools. While several guidelines describing good practices for conducting and reporting AI-based research in medicine and radiology have been published, fewer efforts have focused on recommendations addressing the key questions to consider when critically assessing AI solutions before purchase. Commercial AI solutions are typically complicated software products, for the evaluation of which many factors are to be considered. In this work, authors from academia and industry have joined efforts to propose a practical framework that will help stakeholders evaluate commercial AI solutions in radiology (the ECLAIR guidelines) and reach an informed decision. Topics to consider in the evaluation include the relevance of the solution from the point of view of each stakeholder, issues regarding performance and validation, usability and integration, regulatory and legal aspects, and financial and support services. Key Points • Numerous commercial solutions based on artificial intelligence techniques are now available for sale, and radiology practices have to learn how to properly assess these tools. • We propose a framework focusing on practical points to consider when assessing an AI solution in medical imaging, allowing all stakeholders to conduct relevant discussions with manufacturers and reach an informed decision as to whether to purchase an AI commercial solution for imaging applications. • Topics to consider in the evaluation include the relevance of the solution from the point of view of each stakeholder, issues regarding performance and validation, usability and integration, regulatory and legal aspects, and financial and support services.

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“…Some studies have reviewed the impact of PACS on the patients' hospital stay time. The findings of these studies [15, 37,38] showed that this system has been able to led to reducing patients' hospital stay time. However, Krave's study in Australia [39] indicated PACS having no effect on the patients' length of stay in hospital.…”

Section: Reducing Hospital-stay Timementioning

confidence: 99%

Investigating the satisfaction level of physicians in regards to implementing medical picture archiving and communication system (PACS)

Abbasi

Jabali

Tadayon

2019

Preprint

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Background User's satisfaction with PACS is considered as one of the important criteria for assessing success in using PACS. The objective of this study is to determine the level of satisfaction in PACS’ users and also comparing its functional features with traditional film-based systems.Methods This analytical study was conducted in 2017. Residents at three large university hospitals in Kerman city were included. We used self-administered questionnaire that was consisted of three parts include: demographic information, individuals' satisfaction, comparing features of the two digital and traditional imaging systems. Validity of this questionnaire was approved by specialists and its reliability was obtained as 86%. Data analysis was done with using descriptive statistics and after checking the normality of data, data compared with the spearman, the Mann Whitney U and the Kruskal-Wallis statistical tests.Results The mean of the participants' ages 31.4 (± 4.4) years old and approximately 59% of the participants were females. Mean of overall physicians’ satisfaction with PACS' score has no significant relationship (P>0.05) with the variables of age, experience in using PACS, type of specialty, level of interpretation of images using PACS, however it did show a significant relationship with their computer skills (P<0.05).Conclusions The mean for physicians’ satisfaction with PACS was at a moderate to high level, yet there are still problems in successfully implementing these systems and establishing interoperability between them. PACS has not fully met all the demands of physicians and has not achieved its predetermined objectives such as all-access from different locations.

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What influences clinician’s satisfaction with radiology services?

Cited by 13 publications

References 10 publications

Investigating the satisfaction level of physicians in regards to implementing medical Picture Archiving and Communication System (PACS)

Investigating the satisfaction level of physicians in regards to implementing medical Picture Archiving and Communication System (PACS)

To buy or not to buy—evaluating commercial AI solutions in radiology (the ECLAIR guidelines)

Investigating the satisfaction level of physicians in regards to implementing medical picture archiving and communication system (PACS)

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