
@ShahidNShah
Healthcare institutions fast implemented Electronic Health Records (EHRs) as part of their digital transformation because these systems optimize patient care and document maintenance procedures while boosting clinical decision quality. The numerous advantages of EHRs are challenged by major obstacles concerning data security together with privacy elements and integration capabilities. The expansion of health data together with the progress of advanced cyber risks makes existing security methods insufficient. The health care sector fights against separate data islands and communication system breakdowns and unauthorized use threats which generate operational deficits and threatening data breaches. The rising number of cyberattacks against healthcare institutions demonstrates that healthcare organizations need resilient and expandable solutions to offer complete data security along with smooth exchange capabilities. The medical field is undergoing a breakthrough due to Blockchain technology combined with Artificial Intelligence (AI) which have transformed how EHRs achieve management as well as security and interoperability.
This study outlines major challenges for extended adoption which include expensive setup costs together with problems related to standards and barriers raised by regulations. This paper connects empty research areas to deliver operational guidelines for healthcare organizations and their executive leaders and government officials seeking secure EHRs with interoperable capabilities through AI-Blockchain infrastructure deployment. The evaluation indicates Blockchain technology and AI principles hold great transformative power through strategic investments into alignment with regulations and development of infrastructure and automation powered by AI. Research must address the ongoing development of AI-Blockchain systems which will assess their effect on patients' real-time clinical care solutions and personalized medical treatments.
Continue reading at researchgate.net
An artificial intelligence (AI) model developed by researchers at the Icahn School of Medicine at Mount Sinai improved outcomes in hospitalized patients by quadrupling the rate of detection and …
Connecting innovation decision makers to authoritative information, institutions, people and insights.
Medigy accurately delivers healthcare and technology information, news and insight from around the world.
Medigy surfaces the world's best crowdsourced health tech offerings with social interactions and peer reviews.
© 2025 Netspective Foundation, Inc. All Rights Reserved.
Built on May 16, 2025 at 12:37pm