Practice Spotlight: “Reaching New Heights” in Pharmaceutical Care at Altum Health
Bibliographic record
Abstract
C hronic noncancer pain is a significant problem in modern society, and its negative effects on quality of life and productivity result in immense social and economic impact. 1 To aid clinicians in the management of chronic noncancer pain and to address related challenges in managing opioid therapy, the National Opioid Use Guideline Group published the most recent version of the Canadian Guideline for Safe and Effective Use of Opioids for Chronic Non-Cancer Pain in 2010. 1 The guideline highlights the challenge of balancing effective treatment of chronic pain and prevention of harm, emphasizing that client care is improved if clinicians collaborate across disciplines.These core concepts form the foundation for clinical pharmacist services in support of better client care at Altum Health, an ambulatory clinic within the University Health Network in Toronto, Ontario..Altum Health provides innovative care for injured workers through specialty programs created to provide comprehensive care for these clients.These programs are covered through third-party insurers, including Ontario's Workplace Safety and Insurance Board.Altum Health is recognized nationally as a leading provider of rehabilitation programs and services.These specialty programs address a variety of physical, psychosocial, and behavioural issues related to injury, including chronic pain.Collaborative services offered by physiotherapists, occupational therapists, kinesiologists, cognitive-behavioural therapists, psychologists, physicians, psychiatrists, and return-to-work coordinators involve treatment goals for clients that range from prevention and management of acute and chronic injury to integration back into the workplace and home life.In 2009 Altum Health, formerly known as Rehabilitation Solutions, recognized a need to add clinical pharmacists to its
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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 | 0.006 | 0.014 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.007 | 0.005 |
| Scholarly communication | 0.008 | 0.009 |
| Open science | 0.003 | 0.009 |
| Research integrity | 0.015 | 0.013 |
| Insufficient payload (model declined to judge) | 0.122 | 0.023 |
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".