Improving Provider Adoption With Adaptive Clinical Decision Support Surveillance: An Observational Study (Preprint)

Khan, Sundas; Richardson, Safiya; Liu, Andrew C; Mechery, Vinodh; McCullagh, Lauren; Schachter, Andy; Pardo, Salvatore; McGinn, Thomas

doi:10.2196/preprints.10245

Cited by 1 publication

(1 citation statement)

References 31 publications

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“…Although CDSS has a positive effect on health-care quality, and reduction of medication costs, rates of CDSS utilization and adoption are still low [4,5]. Prior studies explained this low adoption by the alerts' fatigue caused by CDSS [6,7,8]. Prior studies have also reported conflicting results regarding CDSS effects [9].…”

Section: Introductionmentioning

confidence: 99%

Clinical Decision Support Systems’ Usage Continuance Intentions by Health Care Providers in Jordan: Toward an Integrated Model

Imlawi¹

2023

Int. J. Onl. Eng.

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Health organizations in Jordan has just started adopting a nationwide health information system [Hakeem] including useful tools such as the clinical decision support system [CDSS]. Adopting CDSS by health care providers is not mandatory; However, the fruitful results of these tools can only be gained after adopted by the health care providers, and when they have the intentions to continue use it in the future. The current study proposes a model that integrates factors from tow important theories of technology acceptance; Technology Acceptance Model [TAM], and Information Systems Success Model [ISSM] to predict the health care providers’ usage continuance intentions of CDSS in future. The study also checks if gender, experience, and CDSS alerts’ frequency has any moderation effects on the proposed research model. To assess the research model, data were collected from 218 participants via an online survey. The proposed model has strongly predicted the CDSS usage continuance intentions [R2=0.486]. However, the moderators; gender, experience, and CDSS alerts’ frequency, partially moderate the proposed relationships. Conclusions: This research extends the growing literature on health information systems' adoption by building an integrated model that integrates factors from two well-established technology acceptance models, TAM and ISSM. The findings proved a significant impact of ISSM's factors [system quality, information quality, and satisfaction] on CDSS usage continuance intentions.

show abstract

Section: Introductionmentioning

confidence: 99%

Clinical Decision Support Systems’ Usage Continuance Intentions by Health Care Providers in Jordan: Toward an Integrated Model

Imlawi¹

2023

Int. J. Onl. Eng.

View full text Add to dashboard Cite

show abstract

Improving Provider Adoption With Adaptive Clinical Decision Support Surveillance: An Observational Study (Preprint)

Cited by 1 publication

References 31 publications

Clinical Decision Support Systems’ Usage Continuance Intentions by Health Care Providers in Jordan: Toward an Integrated Model

Clinical Decision Support Systems’ Usage Continuance Intentions by Health Care Providers in Jordan: Toward an Integrated Model

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