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Volume 7 Issue 6
June 2026
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Antitrust Policy in EHR AI
| Author(s) | Vivek Yadav |
|---|---|
| Country | United States |
| Abstract | Electronic Health Record (EHR) systems in the United States have gained momentum over the past few years, completely changing the way healthcare providers deliver services and manage patient information. They allowed digitization of patient records thus enabling easier access and better clinical decisions. On the other hand, the integration of cutting, edge technologies such as Artificial Intelligence (AI) and Generative AI (GenAI) in these EHR systems is quite challenging due to monopolistic practices of a few dominant vendors who have medical data of most of the American patients. Such behaviors not only limit interoperability and use of third, party innovative solutions but also artificially inflate the price of administrative and clinical solutions powered by AI thus inconveniencing the end users. Antitrust policies therefore are considered pivotal in resolving such problems as they lead to a competitive market, equal data access conditions, and finally, a more open and accessible healthcare technology environment. This article delves into how the concentration of the EHR market affects the introduction of AI tools, their pricing, as well as the suppression of competition. Through the use of qualitative research methodology in analyzing industry practices, regulatory interventions, and market trends, together with economic understanding of market power and its influence on innovation, the article exposes the deeply ingrained obstacles that new health, tech firms face. The key findings reveal that the consolidated EHR companies not only hinder the integration of AI but also influence the pricing structures in such a way that it discourages competition, thus affecting the efficiency and cost, effectiveness of healthcare. The research emphasizes the need for focused antitrust interventions and interoperability mandates to facilitate fairness in AI adoption, cost reduction, and overall patient care improvement. |
| Keywords | EHR, AI, GenAI tools, antitrust, healthcare interoperability, market consolidation. |
| Field | Engineering |
| Published In | Volume 7, Issue 1, January 2026 |
| Published On | 2026-01-08 |
| DOI | https://doi.org/10.70528/IJLRP.v7.i1.2132 |
| Short DOI | https://doi.org/hb27pw |
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IJLRP DOI prefix is
10.70528/IJLRP
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