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EDITORIAL

2011· editorial· es· W4234886517 on OpenAlexaboutno aff

Bibliographic record

VenueJournal of Healthcare Management · 2011
Typeeditorial
Languagees
FieldBusiness, Management and Accounting
TopicLeadership and Management in Organizations
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

As a graduate student in the late 1980s, I attended a presentation given by then-executive director of the Australian Healthcare and Hospitals Association Dr. Errol Pickering. During his lecture, Pickering, who later served as director general of the International Hospital Federation, talked about various aspects of healthcare delivery in Australia and in other countries. When an audience member asked how the US healthcare system compared with that of other countries, Pickering responded, “The US health system is both superlative and abysmal.” I was quite surprised by his assessment. Superlative, sure, but abysmal? No way. How could such a remarkably expensive system, rich in advanced technologies and research, full of splendid facilities, and replete with highly trained workers, ever be considered abysmal? Over time and with greater understanding, however, I grew more comfortable with this ambiguous, paradoxical view. While parts of the system are clearly world class, overall quality continues to be uneven, and the system just doesn't work well for many people. The sheer expense of our currently structured system, and the demands facing it, threaten not only the viability of our healthcare institutions but also our health and economic stability. Where is our health system heading? Will it continue to be an expensive paradox, will it go into decline, will it implode and bankrupt us, or will it improve to affordable perfection? While the Journal of Healthcare Management cannot answer these questions with certainty, its articles provide an evidencebased record of research results that can generate discussion, offer direction, and advance understanding for our readers. In this issue's interview, Patrick Charmel, FACHE, discusses a variety of topics, including how his relatively small institution, Griffin Hospital, became an influential leader in the field. He speaks of the hospital's innovative and entrepreneurial spirit and its atypical commitment to community health, health promotion, and wellness. He further describes the patient-centered Planetree model, which originated in California, and how it found its way to Connecticut, eventually becoming part of Griffin Health Services. Finally, he comments on the hospital's strong emphasis on employee pride and the leadership skills necessary to create and enhance it. Medicare's recovery audit contract (RAC) audit program is the focus of the Trends column by Alan Goldberg and Linda Young. They provide an overview of the program, key RAC review and appeal issues for providers, and advice for monitoring this looming element of the revenue cycle. In his Reform column, Nathan Kaufman describes the existence of a healthcare bubble that he believes will eventually burst due to unsustainable levels of spending on health services. He offers three strategic directions to help healthcare leaders prepare for such a possibility. Employing a qualitative case study of ambulatory electronic health record (EHR) system implementation, Paula Song, PhD, and colleagues explore the extent to which a business case analysis can support investment decisions about adopting EHR systems by providing a clearer picture of resource needs, clinical and financial indicators to watch, and a foundation for continued organizational support. Nir Menachemi, PhD, and colleagues longitudinally examine practice- and physician-related characteristics of EHR usage among Florida physicians in outpatient settings. They find significant increases in levels of EHR adoption between 2005 and 2008. Over this time, medical practices appeared better able to surmount the cost and logistical obstacles associated with EHR adoption. The findings reported have significant implications for healthcare management and policy makers. For instance, as the HITECH Act seeks to encourage EHR adoption by incentivizing physicians through Medicare and Medicaid, the relationship of those two government programs to level and rate of EHR adoption is particularly important. Frank Roger Tortorella, JD, MBA, FACHE, and colleagues examine hospital patient transfers to The University of Texas MD Anderson Cancer Center and the issues surrounding an overhaul to the processes their transfer center employed in accepting patients. The authors describe the problems motivating the need for change in the transfer center, the interventions undertaken to address these problems, and the specific positive outcomes resulting from these initiatives. We conclude this issue with an Academy of Management abstract by Michael Leiter, PhD, and colleagues that examines the rationales used by Canadian nurses to justify rude behavior at work. The authors developed a rudeness rationale scale that can be used to assess the level of civility and respect within a healthcare setting. Stephen J. O'Connor PhD, FACHE Editor Corrections: In Volume 56, Number 1, author name Kevin J. Bozic was printed without his middle initial. In Volume 56, Number 2, author name Beatrice Kalisch was abbreviated and author name Dana Tschannen was misspelled.

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)0.004
metaresearch head score (Gemma)0.028
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Editorial · Consensus signal: Editorial
Teacher disagreement score0.193
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.028
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.001
Science and technology studies0.0030.002
Scholarly communication0.0070.004
Open science0.0020.002
Research integrity0.0060.007
Insufficient payload (model declined to judge)0.1930.110

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 head0.022
GPT teacher head0.260
Teacher spread0.239 · 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 designNot applicable
Domainnot available
GenreEditorial

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
Published2011
Admission routes1
Has abstractyes

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