Leveraging the electronic health record for research and quality improvement: Current strengths and future challenges

Arsoniadis, Elliot G.; Melton, Genevieve B.

doi:10.1053/j.scrs.2016.01.009

Cited by 3 publications

(1 citation statement)

References 52 publications

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“…Conclusions were drawn that although large-scale use of these data can lead to significant technological and medical progress, it also raises many issues such as heterogeneity, structuration, interoperability temporality, purpose of use, quality, and storage as well as the issue of the legal and ethical framework for reusing these data. A brief overview of informatics approaches for clinical research, particularly research and quality improvement initiatives germane to Colon and Rectal Surgery was presented in [94]. Current challenges and key areas for improvement such as unstructured data and data heterogeneity were identified.…”

Section: Reviewmentioning

confidence: 99%

A systematic review and meta-data analysis of clinical data repositories in Africa and beyond: recent development, challenges, and future directions

Adewole,

Alozie,

Olagunju

et al. 2024

Discov Data

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A Clinical Data Repository (CDR) is a dynamic database capable of real-time updates with patients' data, organized to facilitate rapid and easy retrieval. CDRs offer numerous benefits, ranging from preserving patients' medical records for follow-up care and prescriptions to enabling the development of intelligent models that can predict, and potentially mitigate serious health conditions. While several research works have attempted to provide state-of-the-art reviews on CDR design and implementation, reviews from 2013 to 2023 cover CDR regulations, guidelines, standards, and challenges in CDR implementation without providing a holistic overview of CDRs. Additionally, these reviews need to adequately address critical aspects of CDR; development and utilization, CDR architecture and metadata, CDR management tools, CDR security, use cases, and artificial intelligence (AI) in CDR design and implementation. The collective knowledge gaps in these works underscore the imperative for a comprehensive overview of the diverse spectrum of CDR as presented in the current study. Existing reviews conducted over the past decade, from 2013 to 2023 have yet to comprehensively cover the critical aspects of CDR development, which are essential for uncovering trends and potential future research directions in Africa and beyond. These aspects include architecture and metadata, security and privacy concerns, tools employed, and more. To bridge this gap, in particular, this study conducts a comprehensive systematic review of CDR, considering critical facets such as architecture and metadata, security and privacy issues, regulations guiding development, practical use cases, tools employed, the role of AI and machine learning (ML) in CDR development, existing CDRs, and challenges faced during CDR development and deployment in Africa and beyond. Specifically, the study extracts valuable discussions and analyses of the different aspects of CDR. Key findings revealed that most architectural models for CDR are still in the theoretical phase, with low awareness and adoption of CDR in healthcare environments, susceptibility to several security threats, and the need to integrate federated learning in CDR systems. Overall, this paper would serve as a valuable reference for designing and implementing cutting-edge clinical data repositories in Africa and beyond.

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Section: Reviewmentioning

confidence: 99%

A systematic review and meta-data analysis of clinical data repositories in Africa and beyond: recent development, challenges, and future directions

Adewole,

Alozie,

Olagunju

et al. 2024

Discov Data

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Trends in Health Care Information Technology and Informatics

Ruffin

Hawkins

2018

Encyclopedia of Information Science and Technology, Fourth Edition

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Trends in Health Care Information Technology and Informatics

Ruffin

Hawkins

2019

Advanced Methodologies and Technologies in Medicine and Healthcare

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It was not until 1994 that the United States healthcare industry established information systems capable of handling a universal delivery system. The healthcare industry has been one of the unhurried organizations to embrace the computer revolution in regards to patient care. Healthcare comprises of the use and management of a profusion of information that must be collected, managed, reviewed, processed, and mined. Technology changes rapidly and maintaining the status quo in healthcare actually means falling behind, and health organizations cannot afford to do that in a technology-driven world. This chapter investigates the trends in healthcare information technology and informatics. The chapter will consist of the following sections: background; issues, controversies, and problems; solutions and recommendations; future research directions; and finally the conclusion. This will enhance the field of health information and technology and its influences on all aspects of health organizations and society in general.

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Leveraging the electronic health record for research and quality improvement: Current strengths and future challenges

Cited by 3 publications

References 52 publications

A systematic review and meta-data analysis of clinical data repositories in Africa and beyond: recent development, challenges, and future directions

A systematic review and meta-data analysis of clinical data repositories in Africa and beyond: recent development, challenges, and future directions

Trends in Health Care Information Technology and Informatics

Trends in Health Care Information Technology and Informatics

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