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Record W4405798015 · doi:10.21608/ajahs.2024.399660

The impact of applying the balanced scorecard on the performance of health organizations An applied study at King Fahad Hospital in Jeddah

2024· article· ar· W4405798015 on OpenAlexaff
Sharif Musharraf Almalawi, Hadeed Bakeet Aljedani, Nawal saleh ‎‎ Alyami

Bibliographic record

VenueAl-Mağallaẗ Al-ʿarabiyyaẗ lil Ādāb wa Al-Dirāsāẗ Al-Insāniyyat · 2024
Typearticle
Languagear
FieldBusiness, Management and Accounting
TopicOrganizational Leadership and Management Strategies
Canadian institutionsInnovation Cluster (Canada)
Fundersnot available
KeywordsBalanced scorecardMedicineBusinessProcess management

Abstract

fetched live from OpenAlex

The aim of the study is to find out the impact of applying the balanced scorecard on the performance of health organizations, and to reach this goal, the study adopted the following dimensions of the balanced scorecard: (its financial dimension, its customer side dimension, the education and growth (training) dimension, and the internal operations dimension. After the statistical analysis of the answers of the sample members done, The study came out with a number of results, the most important of which are: The respondents strongly agree on the financial dimension of the balanced scorecard, and this was evident in their reports that the financial dimension of the balanced scorecard affected the creation of systems to control expenses, which were characterized by transparency in the complex, and that it could contribute to Make good use of hospital resources, The results also indicated that the respondents strongly agreed on the axis of the customer dimension of the balanced scorecard, and it was found in their testimony that it contributed to the complex’s response to the complaints and suggestions of patients and auditors, and it also helped the complex in providing medical staff in a way that suits patients, and there is also strong approval on the axis of the education dimension. and growth (training) of the Balanced Scorecard ,especially with regard to the aspect of the hospital's interest in developing the performance of employees, as well as the complex's interest in qualified and highly skilled employees, and also the results indicated agreement with the internal operations dimension of the balanced scorecard, and we found that they reported that it made the employees have the ability to accomplish their work, with minimal effort and high efficiency, and that it reinforced the concept of self-control among the complex’s employees. The results of the study showed a relationship between the application of the balanced scorecard and the performance of health organizations, in terms of reducing patients’ waiting to see a doctor, and improving the quality of health services. While the study recommended a number of results, the most important of which are: the need to pay attention to the use of the financial dimension of the balanced scorecard in health organizations, through the exploitation of available financial resources, the need to use the customer dimension of the balanced scorecard to measure the performance of health organizations, through the development of the quality of services provided to patients, Interest in using the internal operations dimension of the balanced scorecard in health organizations, through the development of administrative work in health organizations, increasing the interest of health organizations in using the growth and learning (training) dimension card for balanced performance, by providing training programs to develop employee performance.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.036
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0120.036
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0030.001
Open science0.0000.002
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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.

Opus teacher head0.024
GPT teacher head0.271
Teacher spread0.247 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

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