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Record W1923454566 · doi:10.1017/s1049023x00002740

Recommended Modifications and Applications of the Hospital Emergency Incident Command System for Hospital Emergency Management

2005· article· en· W1923454566 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenuePrehospital and Disaster Medicine · 2005
Typearticle
Languageen
FieldHealth Professions
TopicDisaster Response and Management
Canadian institutionsnot available
Fundersnot available
KeywordsMedical emergencyEmergency managementMedicineEmergency medicinePolitical science

Abstract

fetched live from OpenAlex

Abstract The Hospital Emergency Incident Command System (Hospital Emergency Incident Command System), nowin its third edition, has emerged asa popular incident command system model for hospital emergency response in the United States and other countries. Since the inception of the Hospital Emergency Incident Command System in 1991, several events have transformed the requirements of hospital emergency management, including the 1995 Tokyo Subway sarin attack, the 2001 US anthrax letter attacks, and the 2003 Severe Acute Respiratory Syndrome (Severe Acute Respiratory Syndrome) outbreaks in eastern Asia and Toronto, Canada. Several modifications of the Hospital Emergency Incident Command System are suggested to match the needs of hospital emergency management today, including: (1) an Incident Consultant in the Administrative Section of the Hospital Emergency Incident Command System to provide expert advice directly to the Incident Commander in chemical, biological, radiological, nuclear (CBRN) emergencies as needed, as well as consultation on mental health needs; (2) new unit leaders in the Operations Section to coordinate the management of contaminated or infectious patients in chemical, biological, radiological, nuclear emergencies; (3) new unit leaders in theOperations Section to coordinate mental health support for patients, guests, healthcare workers, volunteers, anddependents in terrorismrelated emergencies or events that produce significant mental health needs; (4) a new Decedent/Expectant Unit Leader in the Operations Section to coordinate the management of both types ofpatients together; and (5) a new Information Technology Unit Leader in the Logistics Section to coordinate the management of information technology and systems. New uses of the Hospital Emergency Incident Command System in hospital emergency management also are recommended, including: (1) the adoption of the Hospital Emergency Incident Command System as the conceptual framework for organizing all phases of hospital emergency management, including mitigation, preparedness, response, and recovery; and (2) the application of the Hospital Emergency Incident Command System not only to healthcare facilities, but also to healthcare systems. Finally, three levels of healthcare worker competencies in the Hospital Emergency Incident Command Systemare suggested: (1) basic understanding of the Hospital Emergency Incident Command System for all hospital healthcare workers; (2) advanced understanding and proficiency in the Hospital Emergency Incident Command Systemfor hospital healthcare workers likely to assume leadership roles in hospital emergency response; and (3) special proficiency in constituting the Hospital Emergency Incident Command System ad hoc from existing healthcare workers in resource-deficient settings. The Hospital Emergency Incident Command System should be viewed asa work in progress that will mature as additional challenges arise and ashospitals gain further experience with its use.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.340
Threshold uncertainty score0.657

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
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 head0.024
GPT teacher head0.342
Teacher spread0.318 · 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