Standardization of Third-party Data in Electronic Health Records

Koren, Ana; Prasad, Ramjee

doi:10.1109/wpmc55625.2022.10014929

Cited by 2 publications

(1 citation statement)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Existing EHR implementations already utilize ITI messages in conjunction with HL7 standards, featuring predefined and implemented service endpoints for various ITI messages. Previous research [16] and [17] thoroughly investigate the essential prerequisites and potential remedies for seamlessly incorporating external data into EHR systems, as they have evolved into a fundamental element of the core health information infrastructure in a significant number of European countries.…”

Section: Standardization and Specification Of Semantic Data Constraintsmentioning

confidence: 99%

Setting Standards for Personal Health Data in the Age of 5G and 6G Networks

Koren,

Prasad

2024

JICTS

View full text Add to dashboard Cite

Electronic health records (EHRs) play a vital role in simplifying thorough and effective patient treatment, promoting smooth exchange of information between medical professionals, and enhancing the process of making clinical decisions. With the increasing adoption of sensor-embedded smart wearables and home automation devices, new opportunities arise for innovative solutions in various sectors, such as eHealth. In the age of 5G and 6G, the potential of utilizing user-collected health data becomes vast, promising significant improvements in people’s health and well-being. Realizing continuous healthcare access takes a step closer to reality by equipping EHRs to effectively store and interpret data collected by these sensors. This would result in personalized medical services that adhere to standardized practices. This paper presents a comprehensive review of contemporary advancements in the realm of standardization methods aimed at managing personal health data. The study delves into an extensive analysis of state-of-the-art solutions that have emerged to address the intricate challenges associated with the harmonization and uniformity of personal health information. By systematically examining these cutting-edge approaches, the review elucidates the diverse strategies employed to establish a cohesive framework for organizing, storing, and exchanging personal health data. Furthermore, the review critically evaluates the effectiveness and limitations of each solution in terms of promoting interoperability, safeguarding data privacy, and facilitating seamless data sharing among healthcare stakeholders. Furthermore, this paper then presents an approach to standardize the data by establishing semantic constraints for healthcare data types and proposing a validation procedure to ensure compliance with relevant standards and regulations.

show abstract

Section: Standardization and Specification Of Semantic Data Constraintsmentioning

confidence: 99%