A Conceptual Framework to Ensure Privacy in Patient Record Management System

Semantha, Farida Habib; Azam, Sami; Shanmugam, Bharanidharan; Yeo, Kheng Cher; Beeravolu, Abhijith Reddy

doi:10.1109/access.2021.3134873

Cited by 15 publications

(10 citation statements)

References 68 publications

(105 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The perceived value of a product depends to a large extent on whether consumers conform to social or subjective norms. Additionally, many academic sources show that the things mentioned here have a big impact on the perception of various systems in various industries (Kodapanakkal et al, 2022;Semantha et al, 2021). However, the findings in this study predicted that these factors influence individual perception towards new technology such as BDM.…”

Section: Individual Dimensioncontrasting

confidence: 61%

“…ERMS will let an organization keep its electronic records in one location while helping to increase productivity by providing features to help managers plan their workflow. ERMS is capable of dealing with various sorts of files, including emails, word-processing documents, spreadsheets, PDFs, scanned photos, and more (Gandomi & Haider, 2015;Semantha et al, 2021).…”

Section: Erms Potentialitymentioning

confidence: 99%

See 1 more Smart Citation

The Influence of Big Data Management on Organizational Performance in Organizations: The Role of Electronic Records Management System Potentiality

Hawash

Mukred

Mokhtar

et al. 2023

IJIKM

View full text Add to dashboard Cite

Aim/Purpose: The use of digital technology, such as an electronic records management system (ERMS), has prompted widespread changes across organizations. The organization needs to support its operations with an automation system to improve production performance. This study investigates ERMS’s potentiality to enhance organizational performance in the oil and gas industry. Background: Oil and gas organizations generate enormous electronic records that lead to difficulties in managing them without any system or digitalization procedure. The need to use a system to manage big data and records affects information security and creates several problems. This study supports decision-makers in oil and gas organizations to use ERMS to enhance organizational performance. Methodology: We used a quantitative method by integrating the typical partial least squares (SEM-PLS) approach, including measurement items, respondents’ demographics, sampling and collection of data, and data analysis. The SEM-PLS approach uses a measurement and structural model assessment to analyze data. Contribution: This study contributes significantly to theory and practice by providing advancements in identity theory in the context of big data management and electronic records management. This study is a foundation for further research on the role of ERMS in operations performance and Big Data Management (BDM). This research makes a theoretical contribution by studying a theory-driven framework that may serve as an essential lens to evaluate the role of ERMS in performance and increase its potentiality in the future. This research also evaluated the combined impacts of general technology acceptance theory elements and identity theory in the context of ERMS to support data management. Findings: This study provides an empirically tested model that helps organizations to adopt ERMS based on the influence of big data management. The current study’s findings looked at the concerns of oil and gas organizations about integrating new technologies to support organizational performance. The results demonstrated that individual characteristics of users in oil and gas organizations, in conjunction with administrative features, are robust predictors of ERMS. The results show that ERMS potentiality significantly influences the organizational performance of oil and gas organizations. The research results fit the big ideas about how big data management and ERMS affect respondents to adopt new technologies. Recommendations for Practitioners: This study contributes significantly to the theory and practice of ERMS potentiality and BDM by developing and validating a new framework for adopting ERMS to support the performance and production of oil and gas organizations. The current study adds a new framework to identity theory in the context of ERMS and BDM. It increases the perceived benefits of using ERMS in protecting the credibility and authenticity of electronic records in oil and gas organizations. Recommendation for Researchers: This study serves as a foundation for future research into the function and influence of big data management on ERMS that support the organizational performance. Researchers can examine the framework of this study in other nations in the future, and they will be able to analyze this research framework to compare various results in other countries and expand ERMS generalizability and efficacy. Impact on Society: ERMS and its impact on BDM is still a developing field, and readers of this article can assist in gaining a better understanding of the literature’s dissemination of ERMS adoption in the oil and gas industry. This study presents an experimentally validated model of ERMS adoption with the effect of BDM in the oil and gas industry. Future Research: In the future, researchers may be able to examine the impact of BDM and user technology fit as critical factors in adopting ERMS by using different theories or locations. Furthermore, researchers may include the moderating impact of demographical parameters such as age, gender, wealth, and experience into this study model to make it even more robust and comprehensive. In addition, future research may examine the significant direct correlations between human traits, organizational features, and individual perceptions of BDM that are directly related to ERMS potentiality and operational performance in the future.

show abstract

Section: Individual Dimensioncontrasting

confidence: 61%

Section: Erms Potentialitymentioning

confidence: 99%

The Influence of Big Data Management on Organizational Performance in Organizations: The Role of Electronic Records Management System Potentiality

Hawash

Mukred

Mokhtar

et al. 2023

IJIKM

View full text Add to dashboard Cite

show abstract

“…The objective of the research articles [59], [60], [61], [62], [26], [63], [64], [65], [66], [67], [68] was to comprehensively assess the landscape of secure software development through the implementation of a systematic mapping study (SMS). This SMS included the identification of pertinent literature based on rigorous inclusion and exclusion criteria, the extraction of pertinent data from these sources, and the subsequent classification of these articles using various criteria.…”

Section: Comparison Studiesmentioning

confidence: 99%

A Novel Framework for Information Security During the SDLC Implementation Stage: A Systematic Literature Review

Mikael Octavinus Chan,

Setiadi Yazid

2024

J. RESTI (Rekayasa Sist. Teknol. Inf.)

View full text Add to dashboard Cite

This research delves into the critical aspects of information security during the implementation stage of the Software Development Life Cycle (SDLC). By employing a systematic literature review, the study synthesizes findings from various digital repositories, including IEEE Xplore, ACM Digital Library, Scopus, and ScienceDirect, to outline a comprehensive framework addressing the implementation stage's unique security challenges. This research contributes to the field by proposing a novel assurance model for software development vendors that focuses on enhancing information security measures during the implementation stage. The study's findings reveal 12 key steps organizations can adopt to mitigate security risks and enhance information security measures during this critical phase. These steps provide actionable insights and strategies tailored to support security protocols effectively. The article concludes that by incorporating these steps, organizations can significantly improve their security posture, ensuring the integrity and reliability of the software development process, particularly during the implementation stage. This approach not only addresses immediate security concerns but also sets a precedent for future research and practice in secure software development, particularly in the critical implementation stage of the SDLC.

show abstract

“…Semantha et al [17] proposed a conceptual framework for privacy-preserving in patient record management systems (PRMS). The proposed framework is mainly used to identify the key components and variables for privacy-preserving policies.…”

Section: Related Workmentioning

confidence: 99%

Securing and privacy preserving for electronic health records using two-phased scheme

Arulmozhi

P.D.S.

2023

Preprint

View full text Add to dashboard Cite

Patient medical data are stored as Electronic Health Records (EHRs) in the cloud for decentralized clinical access. Information related to a patient’s health, diagnosis, and medication is vital for which individual privacy and security are vital considerations. This article introduces a Two-Phased Privacy Preserving Security Scheme (TP3SS) for EHR stored in clouds. The proposed scheme offers secure access control and attribute-based encryption for privacy-preserving and preventing data falsification. Secure access control is achieved by establishing mutual key-dependent smart contracts between the user, doctors and the EHR storage. The key authentication is provided using record-related attribute encryption that is valid within the contract period. The access and key validity are confined to the smart contract allocated interval by verifying the user identity. Here validity verification and access confinement are pursued using ledge-stored user information. The validation occurs for ensuring the EHR and user attributes are mapped together in the current and previous smart contract access sessions. In the record management process, Hyperledger fabric blockchain is used for preventing internal computation complexities. Similarly, the attribute that is inferred by the Hyperledger fabric blockchain in the current access session is alone used for a key generation; used for accessing and sharing the records. This process prevents the entry of adversary access and improves the security level under controlled complexity.

show abstract

A Conceptual Framework to Ensure Privacy in Patient Record Management System

Abstract: Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000.

Cited by 15 publications

References 68 publications

The Influence of Big Data Management on Organizational Performance in Organizations: The Role of Electronic Records Management System Potentiality

The Influence of Big Data Management on Organizational Performance in Organizations: The Role of Electronic Records Management System Potentiality

A Novel Framework for Information Security During the SDLC Implementation Stage: A Systematic Literature Review

Securing and privacy preserving for electronic health records using two-phased scheme

Contact Info

Product

Resources

About