How to Achieve a High-Performance Health Care System in the United States
Bibliographic record
Abstract
Letters6 May 2008How to Achieve a High-Performance Health Care System in the United StatesJack A. Ginsburg, MPE, Robert B. Doherty, and J. Fred Ralston Jr., MDJack A. Ginsburg, MPEFrom the American College of Physicians, Philadelphia, PA 19106.Search for more papers by this author, Robert B. DohertyFrom the American College of Physicians, Philadelphia, PA 19106.Search for more papers by this author, and J. Fred Ralston Jr., MDFrom the American College of Physicians, Philadelphia, PA 19106.Search for more papers by this authorAuthor, Article, and Disclosure Informationhttps://doi.org/10.7326/0003-4819-148-9-200805060-00021 SectionsAboutFull TextPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareFacebookTwitterLinkedInRedditEmail IN RESPONSE:Everyone who wrote a letter raised important points that should be considered by public policymakers for achieving universal health insurance coverage. The American College of Physicians identified 2 pathways for consideration: a single-payer model or a pluralistic model with legal guarantees for coverage and subsidies for those who cannot afford it. The College did not recommend one pathway over the other—it noted the advantages and disadvantages of each approach. It examined the U.S. health care system and those of 12 other countries, determined what lessons could be learned, and made recommendations for consideration to ensure that all people ...References1. American College of Physicians–American Society of Internal Medicine. Physicians and joint negotiations. Ann Intern Med. 2001;134:787-92. [PMID: 11329239] Google Scholar2. American College of Physicians. Linking Physician Payments to Quality Care. Philadelphia: American Coll Physicians; 2005. Accessed at www.acponline.org/advocacy/where_we_stand/policy/link_pay.pdf on 21 March 2008. Google Scholar3. American College of Physicians. Reform of the Dysfunctional Healthcare Payment and Delivery System. Philadelphia: American Coll Physicians; 2006. Accessed at www.acponline.org/advocacy/where_we_stand/policy/dysfunctional_payment.pdf on 21 March 2008. Google Scholar4. Braddock CH, Snyder L, for the American College of Physicians Ethics and Human Rights Committee. Ethics and Time, Time Perception, and the Patient–Physician Relationship. Philadelphia: American Coll Physicians; 2005. Accessed at www.acponline.org/running_practice/ethics/issues/policy/ethics_timeplace.pdf on 21 March 2008. Google Scholar Author, Article, and Disclosure InformationAffiliations: From the American College of Physicians, Philadelphia, PA 19106.Disclosures: None disclosed. 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Zarren Metrics Cited ByEnvisioning a Better U.S. Health Care System for All: Reducing Barriers to Care and Addressing Social Determinants of HealthRenee Butkus, BA, Katherine Rapp, BS, Thomas G. Cooney, MD, and Lee S. Engel, MD, for the Health and Public Policy Committee of the American College of Physicians*Comparison of Rate of Utilization of Medicare Services in Private Versus Academic Cardiology PracticePutting Patients First by Reducing Administrative Tasks in Health Care: A Position Paper of the American College of PhysiciansShari M. Erickson, MPH, Brooke Rockwern, MPH, Michelle Koltov, MPH, and Robert M. 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Doherty, BAComparing population health in the United States and CanadaMedical Providers as Global Warming and Climate Change Health Educators: A Health Literacy ApproachQuality Time in HealthcareDutch Electronic Medical Record - Complexity PerspectiveThe Obama Administration's Options for Health Care Cost Control: Hope Versus RealityTheodore Marmor, PhD, Jonathan Oberlander, PhD, and Joseph White, PhDA retrospective analysis of health systems in Denmark and Kaiser Permanente 6 May 2008Volume 148, Issue 9Page: 712KeywordsArmed forcesConflicts of interestFearHealth careHealth insuranceMedical educationMotivationPatientsResearch and reporting methods ePublished: 6 May 2008 Issue Published: 6 May 2008 CopyrightCopyright © 2008 by American College of Physicians. All Rights Reserved.PDF DownloadLoading ...
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".