HEALTHCARE LEADERSHIP SKILLS NEEDED FOR POPULATION HEALTH
Bibliographic record
Abstract
Many countries and economies-- developed and emerging-- are demanding better health for their populations and workers. A population’s health is determined by its environment, heredity, lifestyles, and medical care system. These factors must be improved in order to improve health, and collaboration among many organizations and sectors of society is needed to improve these factors. However, health care leaders historically have not done this. They have focused mostly on medical care services and have collaborated mostly with only other medical care providers and insurers. To meet demands for better health in their countries and economies, health care leaders must now collaborate with a broader and more diverse group of economic and social partners-- such as churches, schools, businesses, youth groups, courts, public agencies, volunteer groups, neighborhood associations, and others. To do this well, health care leaders must use skills in leadership, stakeholder management, and collaboration. 2 During the past decade, the United States, Canada, and other countries have increased their efforts to improve population health, and this trend is likely to continue in the future (Boufford 1999; Hancock 1999; Marmot 1999; Podger 1999). An important part of these efforts has involved leaders of health care organizations (HCOs) working to improve health in their local communities, rather than only providing acute medical care to the ill and injured. In doing so, these leaders have found that they must work with a new, wide, diverse group of organizations. When their mission was only to deliver acute medical care, health care organizations (HCOs) and their leaders worked closely with other HCOs-- hospitals, medical groups, outpatient centers, rehabilitation facilities, mental health clinics, as well as the payer and financing organizations. However, health is much broader; the World Health Organization (1944) defines it as a “state of complete physical, mental and social well-being and not merely the absence of disease or infirmity. ” Thus, to really improve health and achieve complete wellbeing, HCO leaders must now work with organizations in other economic sectors and parts of society
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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 | 0.008 | 0.019 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.006 | 0.003 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.003 | 0.008 |
| Insufficient payload (model declined to judge) | 0.023 | 0.009 |
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".