The historiography of a profession: The societal and political drivers of the health information management profession in Australia
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.
Bibliographic record
Abstract
Health information permeates healthcare delivery from point-of-care, across the continuum of care and throughout the healthcare system’s policy, population health, research, planning and funding arenas. Health information managers (HIMs) expertly manage that information. This commentary theorises the health information management profession for the first time. Its purpose is to identify and contextualise, via a historiographical account, the societal and political drivers that have shaped contemporary Australian health information management and HIMs’ scientific work. It seeks to build our knowledge of the socio-political influences on the profession’s emergence and development, and the projected drivers of its future. Eight critical, socio-political drivers were identified and are addressed in temporaneous order. Scientific medicine has reflected the influences on medicine in the past century and a half of the medical record and other technologies, laboratory-based sciences, evidence-based medicine and evidence-based health. Standardisation has underpinned and guided the profession’s practice. The hegemony of non-medical healthcare managers and resource- and performance-related accountabilities emerged in the 1960s, as did the efficiencies of bureaucratisation in healthcare and post-bureaucratic shifts to textualisation and technogovernance. Technologisation has driven constant change in health information management, as have the forces of the fast-paced risk society. Since the 1980s, the health consumer movement has propelled regulatory mechanisms that accord patients’ access rights to their medical records and mandate information privacy protections. Finally, a nascent commodification of health information has emerged. These forces exert ongoing impacts on the profession. They will, we conclude, singularly and collectively continue to shape its discourses and direction.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it