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Since 2021, hospitals have been required to report the prices of common, shoppable services, including drugs, as per the Hospital Price Transparency Rule. In this paper, we used Hospital Price Transparency data aggregated by Turquoise Health to investigate the usability of price transparency data to evaluate variation in reimbursement for provider-administered drugs. We extracted records for 30 procedure codes corresponding to provider-administered drugs reported by at least 1,000 National Provider Identifiers (NPIs) and evaluated variability in rates reported for each procedure code. Among 3,321,502 records extracted, 65% had missing NPI, reimbursement rate, or National Drug Code (NDC) information. The remaining 35% of entries reporting NDC information did not necessarily report negotiated rates in the quantity of the NDC. Instead, they contained a combination of prices expressed in at least 3 different quantities: the quantity in which the procedure code is expressed, the unit of the NDC, and the total quantity of drugs administered to the patient. Until providers follow standardized requirements for the reporting of the data, the Hospital Price Transparency data should be used with caution, as the inability to correctly identify the unit in which prices are expressed can lead to incorrect inferences about drug prices.
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http://dx.doi.org/10.18553/jmcp.2025.31.4.338 | DOI Listing |
J Med Ethics
September 2025
Shrewsbury Public Schools, Shrewsbury, Massachusetts, USA
The integration of artificial intelligence (AI) into pharmaceutical practices raises critical ethical concerns, including algorithmic bias, data commodification and global health inequities. While existing AI ethics frameworks emphasise transparency and fairness, they often overlook structural vulnerabilities tied to race, gender and socioeconomic status. This paper introduces relational accountability-a feminist ethics framework-to critique AI-driven pharmaceutical practices, arguing that corporate reliance on biased algorithms exacerbates inequalities by design.
View Article and Find Full Text PDFJ Pharm Policy Pract
September 2025
Jeffrey Cheah School of Medicine and Health Sciences (JCSMHS), Monash University Malaysia, Bandar Sunway, Malaysia.
Background: Medicine affordability is a critical component of a country's redistributive health policies aimed at ensuring equitable access to healthcare. This study aims to investigate key stakeholders' perspectives on pharmaceutical pricing control in Malaysia as the country is moving towards sustainable healthcare.
Methods: Semi-structured interviews ( = 16) were conducted with a purposive sampling of key stakeholders, which included practitioners and policymakers engaged in Malaysia's public health policy.
Proc Nutr Soc
September 2025
Institute for Health Transformation, Global Centre for Preventive Health and Nutrition, School of Health and Social Development, Faculty of Health, Deakin University, Geelong, Australia.
Healthy diets are unaffordable for billions of people worldwide, with food prices rising in high-, middle- and low-income nations in recent times. Despite widespread attention to this issue, recent actions taken to inform policy prioritisation and government responses to high food inflation have not been comprehensively synthesised. Our review summarises (i) innovative efforts to monitor national food and healthy diet price, ii) new policy responses adopted by governments to address food inflation and (iii) future research directions to inform new evidence.
View Article and Find Full Text PDFJ Am Coll Radiol
August 2025
Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island. Electronic address:
Purpose: The consolidation of radiology practices by hospitals and private equity (PE) firms has accelerated in recent years, reshaping the landscape of radiology practice ownership. There is limited systematic evidence on the growing prevalence of hospital and PE ownership in radiology and its association with negotiated prices for imaging services. The aim of this study was to examine how commercial insurance negotiated prices for radiologic services vary by practice ownership structure, including independent, hospital, and PE-affiliated radiology practices.
View Article and Find Full Text PDFSci Rep
August 2025
CSE, Vasavi College of Engineering, Hyderabad, Telangana, India.
AI has propelled the potential for moving toward personalized health and early prediction of diseases. Unfortunately, a significant limitation of many of these deep learning models is that they are not interpretable, restricting their clinical utility and undermining trust by clinicians. However, all existing methods are non-informative because they report generic or post-hoc explanations, and few or none support patient-specific, accurate, individualized patient-level explanations.
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