Ensuring data integrity of healthcare information in the era of digital health

Zarour, Mohammad; Alenezi, Mamdouh; Ansari, Tarique Mahmood; Pandey, Abhishek; Ahmad, Masood; Agrawal, Alka; Kumar, Rajeev; Khan, Raees Ahmad

doi:10.1049/htl2.12008

Cited by 67 publications

(34 citation statements)

References 33 publications

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“…Another research intends to describe the threat plot of data integrity in healthcare through numerous attack statistics from around the world and Saudi Arabia and identify the criticality in Saudi Arabia in particular. The results of this SLR conducted by Mohammad et al [9] strongly indicate that the healthcare sector needs a new and more robust data integrity approach.…”

Section: Related Workmentioning

confidence: 88%

Towards more integrated Medical Information Systems: How HIS and MIS hand in hand will be able to be beneficial increasingly?

Azadi

Peñalvo

2022

Preprint

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Nowadays according to the intention of many hospitals and medical centers to computerize their processes and medical treatments including data forms and medical images which are generating a huge amount of data, IT specialists and data scientists who are oriented to eHealth and related issues know the importance of data integrity and its benefits. This study attempts to indicate the significance of data integrity, especially in medical information systems. It means that the medical sub-systems in HIS (Hospital Information System) must be integrated and it is also necessary to unify with MIS (Management Information System). In this paper accuracy level of the extracted reports from the Information System (to evaluate the staff’s performance) in two ways has been measured: 1- At first, the performance of the clinic reception staff will be evaluated. In this way, the personnel attendance system is an independent and separated software, and the mentioned evaluation has been done by its report. 2- Next year in the same location precisely the same evaluation has been done based on the data extracted from the personnel attendance sub-system which has been added to the medical information system as an integrated information system. After comparing the accuracy level of both ways, this paper concludes that when the personnel attendance sub-system as a part of MIS has been unified with HIS and its sub-systems, how much the reports and consequently management decisions will be more accurate and more reliable and therefore the managers and decision-makers will perceive the importance of data integrity more than the past.

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Section: Related Workmentioning

confidence: 88%

Towards more integrated Medical Information Systems: How HIS and MIS hand in hand will be able to be beneficial increasingly?

Azadi

Peñalvo

2022

Preprint

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“…The authors used here F.AHP.TOPSIS integrated technique for ranking the factors as discussed in Figure 2. 10,11 The authors have designed a hierarchy by the help of experts and applied the F.-AHP.TOPSIS on it.…”

Section: Fuzzy Ahp Topsismentioning

confidence: 99%

“…And evaluate the results of both methods and compare them with Fuzzy AHP.TOPSIS method. [10][11][12][13][14] They compared the results of the methods depicted in Figure 6. From the comparison, we observed that F.-AHP.TOPSIS generated better results than the Fuzzy Weighted Average and Classical AHP.TOPSIS method.…”

Section: Declaration Of Conflicting Interestsmentioning

confidence: 99%

“…The authors have prioritized the data integrity techniques that are used for maintaining the integrity of healthcare data. 11 M.H. Behzadi (2015) did a comparative study on Fuzzy AHP and Fuzzy TOSIS approaches in math teachers’ selection and found that both the fuzzy based techniques obtained better results than the traditional approaches.…”

Section: Introductionmentioning

confidence: 99%

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Securing healthcare information system through fuzzy based decision-making methodology

Alharbi

Ahmad

Alosaimi

et al. 2022

Health Informatics J

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The purpose of the healthcare Information System (HIS) is to replace the conventional method of data gathering and organization in hospitals into a modern method of systematic data collection, maintenance and dissemination. There has been an unprecedented rise in the malware and cyber-attacks on HIS recently. Cyber-attacks have become a major crisis for the healthcare industry. To address this scenario, the present paper conducts a study on the security factors integral to the healthcare information system and conducts the performance analysis of these factors. For this intent, the study has employed the Fuzzy Analytic Hierarchy Process (F.AHP) integrated with Technique Order Preference by Similarity to Ideal Solution (TOPSIS) integrated framework for evaluating the performance of each factor. Thereafter, the factors that play a vital role in healthcare data security breaches have been prioritized as per their security weights. Furthermore, the validity of the results obtained by the stated methodology has been established by conducting the sensitivity analysis and comparison of results with the other methods by using the same data set. Based on results thus obtained, the access control and software security have been identified as the most promising security factors.

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“…Data are the currency of the digital world and have become necessary for many disciplines to carry out day-to-day activities [ 2 ]. The use of technology and electronics worldwide has introduced an array of innovative and instrumental possibilities for scientists and researchers [ 3 ]. However, these possibilities have emerging risks.…”

Section: Introductionmentioning

confidence: 99%

Preventing and Protecting Against Internet Research Fraud in Anonymous Web-Based Research: Protocol for the Development and Implementation of an Anonymous Web-Based Data Integrity Plan

Hohn¹,

Bice²,

DeVita³

2022

JMIR Res Protoc

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Background Data integrity is a priority in any internet research study; it should be maintained to protect the safety and privacy of human participants and to maintain the validity and reliability of research findings. However, one noteworthy risk of web-based research is fraudulent respondent activity. When investigators must utilize anonymous web-based recruitment techniques to reach hidden and expanded populations, steps should be taken to safeguard the integrity of data collected. Objective The purpose of this paper is to present a novel protocol in the form of an anonymous web-based research data integrity plan (DIP) protocol that outlines steps for securing data integrity while conducting anonymous web-based data collection. Methods In this paper, we discuss a protocol regarding the development and implementation of a specific DIP in response to fraudulent activity in an original large-scale mixed methods study launched in April 2021. Four primary steps, each with a set of affiliated procedures, are presented: (1) defining the risks, (2) planning research protocols, (3) securing data collection and recruitment, and (4) determining enrollment. Results Following the relaunch of a large-scale original study and implementation of the DIP protocol, preliminary analyses demonstrated no fraudulent activity. A pre-post analysis is underway to evaluate the effectiveness of the DIP strategies from February 2022 through May 2023. Conclusions Implementing the DIP protocol could save valuable research time, provides a process to examine data critically, and enables the contribution of rigorous findings to various health fields. International Registered Report Identifier (IRRID) DERR1-10.2196/38550

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Ensuring data integrity of healthcare information in the era of digital health

Cited by 67 publications

References 33 publications

Towards more integrated Medical Information Systems: How HIS and MIS hand in hand will be able to be beneficial increasingly?

Towards more integrated Medical Information Systems: How HIS and MIS hand in hand will be able to be beneficial increasingly?

Securing healthcare information system through fuzzy based decision-making methodology

Preventing and Protecting Against Internet Research Fraud in Anonymous Web-Based Research: Protocol for the Development and Implementation of an Anonymous Web-Based Data Integrity Plan

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