Secretly SaaS-ing: Stealth Adoption of Software-as-a-Service from the Embeddedness Perspective
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
As the population continues to age and Medicare continues to reduce inpatient reimbursement levels, the hospitalist practice model may enhance hospital performance and improve the allocation of inpatient resources. Data for this study were obtained from the 2001 AHA annual survey, the Area Resource File and the CMS Minimum Data Set. Descriptive statistics were evaluated and a logistic regression model was used to examine those organizations using the hospitalist model in contrast to those without. The study found that organizations using the hospitalist model are located in communities with higher HMO penetration, have more hospital beds, more clinical services, and more managed care contracts. In addition, organizations with the hospitalist model have higher occupancy rates, a higher return on assets, and a lower average length of stay. From a managerial perspective, this study clearly demonstrates the hospitalist model will improve efficiency and profitability. From a policy perspective, the hospitalist model will increase efficiency, reduce length of stay, and improve the allocation of resources within the inpatient hospital industry. The link between hospital profitability and the use of the hospitalist model suggests that this is a viable clinical approach to managing acute care in hospitals as a mechanism to improve financial performance and potentially quality of care.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.004 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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