Comparative Study of Structure and Activity of Health Information Management Association in Selected Countries, 2008
Bibliographic record
Abstract
Introduction: Formation of professional associations is one point of inflection in the health care industry. Health Information Management Association in developed countries originally initiated its activities in the profession of medical records as Medical Records Librarians Association and later changed to Medical Record Association. This study aimed to compare structure, function and activities of Health Information Management Association in selected countries and Iran. Methods: This was a descriptive comparative study in cross-sectional method. The research sample included Health Information Management Association in Australia (HIMAA), United States of America (AHIMA) and Canada (CHIMA) as pioneer countries in initiation of Health Information Management Association and also Medical Record Association of Iran (IMRA). Related data about structural and functional entities was collected through the library investigation, internet and communication with research sample associations via email according to collection forms. Results: The structural and functional elements and entities of the Health Information Management Associations in the selected countries are mostly similar, although they had some differences. Canadian Health Information Management Association Board of Director’s is communal with Canadian College of Health Information Management. Type of association memberships in Australia is different with other associations. Vision and values of HIMAA and IMRA have not been identified and written. In comparison with the other associations, AHIMA has various and multiple activities in provide services to its members. Continuing education and certification in various scope is one of major the activities of AHIMA. Conclusion: commensurate with done Changes in the Health Information Management Profession, the Association of this Profession in countries of Australia, United States and Canada has experienced a lot of change in the structure and activities of their associations accordingly. Position of inspector only existed in Iran's Medical Record Association. In comparison with other association, Iran Medical Record Association with fifteen years of history had not had a lot of systematic and integrated activities. Review of Structural and functional entities and activities of this association, seems necessary. Keywords: Societies; Information Management; Health; 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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".