Investigating the Organizational and the Environmental Issues that Influence the Adoption of Healthcare Information Systems in Public Hospitals of Iraq
Why this work is in the frame
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Bibliographic record
Abstract
<span style="font-size: 10.5pt; font-family: 'Times New Roman','serif'; mso-bidi-font-size: 12.0pt; mso-fareast-font-family: 宋体; mso-font-kerning: 1.0pt; mso-ansi-language: EN-US; mso-fareast-language: ZH-CN; mso-bidi-language: AR-SA;" lang="EN-US">Healthcare information systems (HIS) are an important part of nowadays hospitals as it provides valuable benefits and functionalities for healthcare provision. However, the implementation and adoption of these complex innovations is a challenging task as documented by the literature; therefore, careful planning and consideration to all important factors that influence the adoption process by healthcare staff is required. Governmental reports stated that the usage of HIS systems within public hospitals of Iraq is still low and problematic; that’s why the current study aims at empirically investigating the opinions of healthcare staff regarding the adoption of HIS within public hospitals of Iraq. The current study extended the UTAUT model by integrating additional organizational and environmental factors and for that purpose a questionnaire was developed for obtaining the healthcare staff’s opinions. To the best of our knowledge, this is the first empirical study that utilized the UTAUT model to tackle the topic of HIS adoption in Iraq public healthcare sector. The study was able to explain 33% and 46% of the variance within the behavioral intention and the usage of HIS, respectively. The practical findings of this quantitative study can be helpful for healthcare officials to address the actual challenges related to HIS adoption and to set proper strategies for implementing futuristic HIS projects.</span>
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.000 | 0.007 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it