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381. Statistical Brief #127: Changes in Co-pays for Employer-Sponsored Health Insurance Plans, 1999–2003 (pdf file)
     meps.ahrq.gov/data_files/publications/st127/stat127.pdf
     June 01, 2006 - Data for employees working for small (fewer than 50 employees) and large firms (50 or more employees … co-pay in ployees (60.8 y small For both small and large employers, the percentage of enrolled … While both small and large firms posted an increase in employees in plans with high physician co-pays … , the jump was much greater for small firms (from 3.0 percent to 19.2 percent) than for large firms … Employees of both small and large firms enrolled in a health insurance plan showed large declines over

382. Identifying Key Areas for Delivery System Research | Agency for Healthcare Research and Quality
     www.ahrq.gov/practiceimprovement/delivery-initiative/casalino/paper/idkeydsr2.html
     February 01, 2014 - approached global capitation) in California in the late 1980s and 1990s led to the formation of very large … For example, a large medical group with strong leadership, a culture of quality improvement, and financial … Do large medical groups provide higher quality care but refuse to treat Medicaid patients? … Are physicians more likely to be employed by hospitals (and/or by large medical groups) in areas where … Which type of organization performs better: independent practice associations (IPAs) vs. large medical

383. Artificial Intelligence | Digital Healthcare Research
     digital.ahrq.gov/technology/artificial-intelligence
     January 01, 2025 - to Reduce Laboratory Test Overutilization The foundational capabilities of large … The foundational capabilities of large language models in predicting postoperative risks using clinical … Proficiency and Complex Care Needs Evaluating accuracy and reproducibility of large … Evaluating accuracy and reproducibility of large language model performance on critical care assessments

384. Journal Publication | Digital Healthcare Research
     digital.ahrq.gov/document-type/journal-publication
     January 01, 2025 - Understanding of Lab Test Results Preliminary analysis of the impact of lab results on large … Preliminary analysis of the impact of lab results on large language model generated differential diagnoses … SEE-Diabetes Modules Predicting suicide attempts among people with diabetes using a large … Predicting suicide attempts among people with diabetes using a large multicenter electronic health records

385. Machine Learning | Digital Healthcare Research
     digital.ahrq.gov/technology/machine-learning
     January 01, 2025 - to Reduce Laboratory Test Overutilization The foundational capabilities of large … The foundational capabilities of large language models in predicting postoperative risks using clinical … Asthma Treatment Response Preliminary analysis of the impact of lab results on large … Preliminary analysis of the impact of lab results on large language model generated differential diagnoses

386. Psn-Pdf (pdf file)
     psnet.ahrq.gov/node/867758/psn-pdf
     March 12, 2025 - This article explores the potential weaknesses in large administrative databases – weaknesses inherent … ahrq-quality-indicators https://psnet.ahrq.gov/issue/unlocking-potential-free-text-electronic-health-records-large-language-models-llm-enhancing

387. Hospital Differences in Adult Inpatient Stays with Healthcare-Associated Infections, 2019 and 2021 (pdf file)
     hcup-us.ahrq.gov/reports/statbriefs//sb314-hospital-differences-HAIs-2019-2021.pdf
     January 01, 2021 - Because of the large sample size of the SID, small differences can be statistically significant but … Highlights ■ Large, public non-Federal, teaching, and metropolitan hospitals consistently had higher … ■ In both 2019 and 2021, public hospitals, large hospitals, teaching hospitals, urban hospitals, and … ■ In both 2019 and 2021, public hospitals, large hospitals, teaching hospitals, and urban hospitals … Private not-for-profit hospitals, large hospitals, teaching hospitals, and safety-net hospitals had

388. Hospital Differences in Adult Inpatient Stays with Healthcare-Associated Infections, 2019 and 2021 (pdf file)
     hcup-us.ahrq.gov/reports/statbriefs/sb314-hospital-differences-HAIs-2019-2021.pdf
     January 01, 2021 - Because of the large sample size of the SID, small differences can be statistically significant but … Highlights ■ Large, public non-Federal, teaching, and metropolitan hospitals consistently had higher … ■ In both 2019 and 2021, public hospitals, large hospitals, teaching hospitals, urban hospitals, and … ■ In both 2019 and 2021, public hospitals, large hospitals, teaching hospitals, and urban hospitals … Private not-for-profit hospitals, large hospitals, teaching hospitals, and safety-net hospitals had

389. Psn-Pdf (pdf file)
     psnet.ahrq.gov/node/47193/psn-pdf
     September 05, 2018 - situation-background-assessment-recommendation-sbar-communication-tool-handoff-health-care https://psnet.ahrq.gov/issue/implementing-sbar-across-large-multihospital-health-system … communication-failures-insidious-contributor-medical-mishaps https://psnet.ahrq.gov/primer/handoffs-and-signouts https://psnet.ahrq.gov/issue/large-scale-implementation-i-pass-handover-system-academic-medical-centre … https://psnet.ahrq.gov/issue/large-scale-implementation-i-pass-handover-system-academic-medical-centre

390. Adult Ratings of Neighborhood Medical Care Availability in Nonmetropolitan and Metropolitan Areas, United States 2021
     meps.ahrq.gov/data_files/publications/st564/stat564.shtml
     July 01, 2025 - consider medical care availability to be fair or poor compared to only 14.0 percent in large … subdivided into urban and suburban areas, and nonmetropolitan areas can be subdivided into large … areas rated access as fair or poor—the highest among all groups—followed by 14.0 percent in large … For example, in large rural areas, 16.9 percent of adults aged 18-44 reported availability … They are categorized as large rural (codes 4-6) and small rural (codes 7-19).

391. Statistical Brief 564: Adult Ratings of Neighborhood Medical Care Availability in Nonmetropolitan and Metropolitan Areas, United States 2021 (pdf file)
     meps.ahrq.gov/data_files/publications/st564/stat564.pdf
     July 01, 2025 - rural areas consider medical care availability to be fair or poor compared to only 14.0 percent in large … can be subdivided into urban and suburban areas, and nonmetropolitan areas can be subdivided into large … rural areas rated access as fair or poor—the highest among all groups—followed by 14.0 percent in large … For example, in large rural areas, 16.9 percent of adults aged 18-44 reported availability of medical … They are categorized as large rural (codes 4–6) and small rural (codes 7–19).

392. Psn-Pdf (pdf file)
     psnet.ahrq.gov/node/46446/psn-pdf
     September 27, 2017 - high reliability: a comprehensive safety program to improve quality of care and safety culture in a large … High Reliability: A Comprehensive Safety Program to Improve Quality of Care and Safety Culture in a Large … psnet.ahrq.gov/issue/error-management-lessons-aviation https://psnet.ahrq.gov/issue/risk-mitigation-large-scale-systems-lessons-high-reliability-organizations

393. Nil per os orders for imaging: a teachable moment. | PSNet
     psnet.ahrq.gov/issue/nil-os-orders-imaging-teachable-moment
     November 13, 2024 - RIS Download Citation Related Resources From the Same Author(s) Large … April 13, 2011 Medical large language models are vulnerable to data-poisoning attacks … April 4, 2011 Responding to large-scale testing errors.

394. Psn-Pdf (pdf file)
     psnet.ahrq.gov/node/866524/psn-pdf
     August 14, 2024 - This article provides a primer on AI terminology (e.g., generative AI, large language models), opportunities … curated-library/artificial-intelligence-system-level-considerations https://psnet.ahrq.gov/issue/performance-large-language-models-medical-oncology-examination-questions

395. Retrospective | Digital Healthcare Research
     digital.ahrq.gov/research-method/retrospective
     January 01, 2025 - Decision-Making in Pediatric Obesity Care The foundational capabilities of large … The foundational capabilities of large language models in predicting postoperative risks using clinical … Project Name Identifying Sepsis Phenotypes Associated with Antibiotic-Resistant Pathogens Using Large … Management of Hypertension in Youth: Comparing Approaches for Extending Effective CDS for use in a Large

396. Quantitative | Digital Healthcare Research
     digital.ahrq.gov/research-method/quantitative
     January 01, 2025 - Decision-Making in Pediatric Obesity Care The foundational capabilities of large … The foundational capabilities of large language models in predicting postoperative risks using clinical … Management During Burn Care Transition Evaluating accuracy and reproducibility of large … Evaluating accuracy and reproducibility of large language model performance on critical care assessments

397. AHRQ's Guide to Evaluating Health Information Exchange Projects - Appendix D (pdf file)
     digital.ahrq.gov/sites/default/files/docs/page/guide-to-evaluating-hie-projects-appendix-d.pdf
     June 16, 2021 - If a sample is too large or too small, the results may be expensive or ambiguous. … an e-prescribing system in an outpatient practice, the office manager believed they were making a large … Number of Errors in 100 Sampled Prescriptions 27 3 Observed Error Rate 27% 3% Given the large … If you find the required sample size is too large, you may need to reprioritize the measures you will

398. Psn-Pdf (pdf file)
     psnet.ahrq.gov/node/865818/psn-pdf
     May 08, 2024 - explores the importance of effective policy to guide the development, training, and use of chatbots, large … artificial-intelligence-health-care-benefits-and-challenges-technologies-augment-patient-care https://psnet.ahrq.gov/issue/diagnostic-accuracy-large-language-model-pediatric-case-studies

399. Executive summary_Comparative Effectiveness Review No. 250_Living Systematic Review on Cannabis and Other Plant-Based Treatments for Chronic Pain: 2024 Update (pdf file)
     effectivehealthcare.ahrq.gov/sites/default/files/related_files/cer-250-cannabis-2024-surv-rep-update-executive-sum.pdf
     January 01, 2024 - There may be a large increased risk of dizziness and sedation (SOE: low) and a moderate increased risk … THC plus CBD is probably associated with large increased risk of nausea (SOE: moderate). … (high THC to CBD ratio) versus placebo, updated meta-analyses changed pooled estimates for nausea (large … , Oral Moderate effect (6, 1 new)a [] Insufficient (2, 1 new) Large effect (4, 1 new) [ … Large effect (1) [] Insufficient (1) Large effect (1) [] No evidence No evidence Low THC –

400. Division of Research Education, Office of Extramural Research, Education, and Priority Populations (OEREP) | Digital Healthcare Research
     digital.ahrq.gov/program/division-research-education-office-extramural-research-education-and-priority-populations
     January 01, 2023 - Identifying Sepsis Phenotypes Associated with Antibiotic-Resistant Pathogens Using Large … Language Models and Machine Learning Description This research uses large language models