Demographics of the Patient Population of a Free Medical Clinic in Vancouver, Washington
Bibliographic record
Abstract
The Free Clinic ofSW Washington (FCSW) is a non-profit public charity. Their mission is ''to provide free, compassionate, quality medical care to children and adults who are otherwise unable to access health services." Medical care includes but is not inclusive to immunizations, head lice treatment, a medication clearinghouse, an emergency prescription program and other basic health care. FCS W medical services are provided by 200 professionals who volunteer their time throughout the year. Currently there is enough volunteer medical support to operate the clinic two evenings per week and starting 2002 operating an extra full day per week. Financially, FCSWis community-supported by donations from individuals, businesses, service organizations and small grants from local foundations. There is no federal or state funding, or direct support from agencies such as United Way.\nWhen receiving donations and grants, some organizations are requesting profiles of patients demographics and/or statistics on types of illnesses and evidence of community support before making donations. The goal of this project was to produce an accurate year-by-year report profiling the patient demographics and illnesses treated at the clinic from 1998-2000. This was accomplished by a retrospective chart review, comparing the paper chart with a newly developed Access@ database program in which all the patient information was transferred into.\nA systematic chart review for accuracy was the majority of the project's time. It resulted in 4,696 charts reviewed, with correction and addition of data that was missing completely. There was a year-by-year patient demographic reports generated for the years 1998-2000.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".