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Record W2914192834 · doi:10.1108/lhs-10-2017-0063

Developing an innovative business model for hospital services in Iran: a case study of Moheb Hospitals

2018· article· en· W2914192834 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLeadership in health services · 2018
Typearticle
Languageen
FieldEconomics, Econometrics and Finance
TopicHIV/AIDS Impact and Responses
Canadian institutionsQueen's University
Fundersnot available
KeywordsGeneral partnershipBusinessHealth careOriginalityBusiness modelQuality (philosophy)Business caseValue (mathematics)Operations managementProcess managementNursingMedicineKnowledge managementMarketingComputer scienceEngineeringQualitative researchSociologyEconomicsEconomic growth

Abstract

fetched live from OpenAlex

PURPOSE: This paper aims to focus on the role of hospital business models by examining the innovative business model of Moheb Hospitals, which have successfully achieved the goal of reducing costs and delivering high-quality health-care services in Iran by encouraging public-private partnership. DESIGN/METHODOLOGY/APPROACH: This paper is a single case study. FINDINGS: The study results illustrate the hospital's current business model and its underlying elements. After presenting the findings, this paper is concluded by presenting the standing issues that should also be addressed and how improvements and adjustments can be made. ORIGINALITY/VALUE: This study offers new insight to identify and analyze the shortcomings of health-care sector in Iran and introduces new methods to efficiently use current competencies.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.186
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.222
GPT teacher head0.350
Teacher spread0.128 · 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