scholarly journals A Systematic Literature Review on Privacy by Design in the Healthcare Sector

Electronics ◽  
2020 ◽  
Vol 9 (3) ◽  
pp. 452 ◽  
Author(s):  
Farida Habib Semantha ◽  
Sami Azam ◽  
Kheng Cher Yeo ◽  
Bharanidharan Shanmugam
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Data Privacy ◽  
Personal Information ◽  
Healthcare Sector ◽  
Privacy By Design ◽  
Sharp Rise ◽  
Private Data ◽  
Information Domain ◽  
High Degree

In this digital age, we are observing an exponential proliferation of sophisticated hardware- and software-based solutions that are able to interact with the users at almost every sensitive aspect of our lives, collecting and analysing a range of data about us. These data, or the derived information out of it, are often too personal to fall into unwanted hands, and thus users are almost always wary of the privacy of such private data that are being continuously collected through these digital mediums. To further complicate the issue, the infringement cases of such databanks are on a sharp rise. Several frameworks have been devised in various parts of the globe to safeguard the issue of data privacy; in parallel, constant research is also being conducted on closing the loopholes within these frameworks. This study aimed to analyse the contemporary privacy by design frameworks to identify the key limitations. Seven contemporary privacy by design frameworks were examined in-depth in this research that was based on a systematic literature review. The result, targeted at the healthcare sector, is expected to produce a high degree of fortification against data breaches in the personal information domain.

scholarly journals Federated Learning in a Medical Context: A Systematic Literature Review

2021 ◽  
Vol 21 (2) ◽  
pp. 1-31
Author(s):  
Bjarne Pfitzner ◽  
Nico Steckhan ◽  
Bert Arnrich
Keyword(s):  
Machine Learning ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Data Privacy ◽  
Research Area ◽  
Learning Models ◽  
Related Data ◽  
Private Data ◽  
Large Databases ◽  
Machine Learning Models

Data privacy is a very important issue. Especially in fields like medicine, it is paramount to abide by the existing privacy regulations to preserve patients’ anonymity. However, data is required for research and training machine learning models that could help gain insight into complex correlations or personalised treatments that may otherwise stay undiscovered. Those models generally scale with the amount of data available, but the current situation often prohibits building large databases across sites. So it would be beneficial to be able to combine similar or related data from different sites all over the world while still preserving data privacy. Federated learning has been proposed as a solution for this, because it relies on the sharing of machine learning models, instead of the raw data itself. That means private data never leaves the site or device it was collected on. Federated learning is an emerging research area, and many domains have been identified for the application of those methods. This systematic literature review provides an extensive look at the concept of and research into federated learning and its applicability for confidential healthcare datasets.

scholarly journals The Role of Vitamin D in the Development of Diabetes Post Gestational Diabetes Mellitus: A Systematic Literature Review

Nutrients ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 1733
Author(s):  
Amélie Keller ◽  
Carmen Varela Vazquez ◽  
Rojina Dangol ◽  
Peter Damm ◽  
Berit Lilienthal Heitmann ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Vitamin D ◽  
Literature Review ◽  
Gestational Diabetes ◽  
Gestational Diabetes Mellitus ◽  
Systematic Literature Review ◽  
Observational Studies ◽  
Vitamin D Supplementation ◽  
Diabetes Development ◽  
High Degree

Women diagnosed with gestational diabetes mellitus (GDM) are more likely to later develop diabetes. Evidence from some previous reviews suggests that low vitamin D status during pregnancy increases the risk of developing GDM, but whether vitamin D during pregnancy also influences the risk of diabetes post GDM is less well studied. Thus, the aim of this systematic literature review was to summarize the current available literature on that topic. This review considered observational studies and randomized controlled trials (RCTs). Five databases were searched. The risk of bias of the included studies was assessed. A total of six studies were included: three observational studies and three RCTs. Findings were inconsistent across the six included studies. However, when considering RCTs only, the findings more strongly suggested that vitamin D supplementation during and after pregnancy did not have an influence on markers of diabetes development or diabetes development post GDM. This systematic review highlights inconsistent findings on the associations between vitamin D supplementation or concentration during and after pregnancy and markers of diabetes development or diabetes development post GDM; and although results from randomized interventional studies more strongly suggested no associations, the conclusion holds a high degree of uncertainty.

scholarly journals Business Process Management for optimizing clinical processes: A systematic literature review

2019 ◽  
Vol 26 (2) ◽  
pp. 1305-1320 ◽  
Author(s):  
Alberto De Ramón Fernández ◽  
Daniel Ruiz Fernández ◽  
Yolanda Sabuco García
Keyword(s):  
Literature Review ◽  
Business Process ◽  
Systematic Literature Review ◽  
Business Process Management ◽  
Process Management ◽  
Healthcare Sector ◽  
Industrial Services ◽  
Technological Support ◽  
New Strategy

Business Process Management is a new strategy for process management that is having a major impact today. Mainly, its use is focused on the industrial, services, and business sector. However, in recent years, it has begun to apply for optimizing clinical processes. So far, no studies that evaluate its true impact on the healthcare sector have been found. This systematic review aims to assess the results of the application of Business Process Management methodology on clinical processes, analyzing whether it can become a useful tool to improve the effectiveness and quality of processes. We conducted a systematic literature review using ScienceDirect, Web of Science, Scopus, PubMed, and Springer databases. After the electronic search process in different databases, 18 articles met the pre-established requirements. The findings support the use of Business Process Management as an effective methodology to optimize clinical processes. Business Process Management has proven to be a feasible and useful methodology to design and optimize clinical processes, as well as to automate tasks. However, a more comprehensive follow-up of this methodology, better technological support, and greater involvement of all the clinical staff are factors that play a key role for the development of its true potential.

scholarly journals A systematic literature review of Native American and Pacific Islanders’ perspectives on health data privacy in the United States

2020 ◽  
Vol 27 (12) ◽  
pp. 1987-1998
Author(s):  
Riley Taitingfong ◽  
Cinnamon S Bloss ◽  
Cynthia Triplett ◽  
Julie Cakici ◽  
Nanibaa’ Garrison ◽  
...  
Keyword(s):  
Native American ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Alaska Native ◽  
Health Research ◽  
Data Privacy ◽  
Indigenous Communities ◽  
The United States ◽  
Health Data ◽  
Willingness To Participate

Abstract Background Privacy-related concerns can prevent equitable participation in health research by US Indigenous communities. However, studies focused on these communities' views regarding health data privacy, including systematic reviews, are lacking. Methods We conducted a systematic literature review analyzing empirical, US-based studies involving American Indian/Alaska Native (AI/AN) and Native Hawaiian or other Pacific Islander (NHPI) perspectives on health data privacy, which we define as the practice of maintaining the security and confidentiality of an individual’s personal health records and/or biological samples (including data derived from biological specimens, such as personal genetic information), as well as the secure and approved use of those data. Results Twenty-one studies involving 3234 AI/AN and NHPI participants were eligible for review. The results of this review suggest that concerns about the privacy of health data are both prevalent and complex in AI/AN and NHPI communities. Many respondents raised concerns about the potential for misuse of their health data, including discrimination or stigma, confidentiality breaches, and undesirable or unknown uses of biological specimens. Conclusions Participants cited a variety of individual and community-level concerns about the privacy of their health data, and indicated that these deter their willingness to participate in health research. Future investigations should explore in more depth which health data privacy concerns are most salient to specific AI/AN and NHPI communities, and identify the practices that will make the collection and use of health data more trustworthy and transparent for participants.

scholarly journals Data Privacy, What Still Need Consideration in Online Application System?

2020 ◽  
Vol 16 (1) ◽  
pp. 49-63
Author(s):  
Dewi Puspa ◽  
Adhiawan Soegiharto ◽  
Achmad Nizar Hidayanto ◽  
Qorib Munajat
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Data Protection ◽  
Data Privacy ◽  
Application System ◽  
Online Application ◽  
Control Setting ◽  
Preliminary Study ◽  
Scopus Database ◽  
Risk Managment

This paper aims to conduct an analysis and exploration of matters that still needs to be considered in relation to data privacy in the online application system. This research is still a preliminary study. We conduct research related to data privacy using systematic literature review approach (SLR). Bt using SLR stages, we made a synthesis of 44 publications from Scopus Database Online that were released in the range 2015 - 2019. Based on this study, we found six things points to consider in data privacy, namely security and data protection, user awareness, risk managment, control setting, ethics, and transparency.

The present and future of intellectual capital in the healthcare sector

2020 ◽  
Vol 21 (3) ◽  
pp. 357-379 ◽  
Author(s):  
Niccolò Paoloni ◽  
Giorgia Mattei ◽  
Alberto Dello Strologo ◽  
Massimiliano Celli
Keyword(s):  
Human Capital ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Intellectual Capital ◽  
Healthcare Sector ◽  
Future Research ◽  
Relational Capital ◽  
Content Type ◽  
Main Research ◽  
Structural Capital

PurposeThis systematic literature review analyzes and identifies research areas where researchers have already studied the role of intellectual capital (IC) in the healthcare sector. This review also analyzes how they carried out their work to understand future research directions.Design/methodology/approachThe analysis is conducted through a systematic literature review. Therefore, following systematic literature review protocol, it was possible to select 225 papers. An analysis of the content was done to identify the main topics debated and understand what components of IC are the most studied by scholars.FindingsThe authors highlight how the components of IC (human capital, structural capital and relational capital) in the healthcare sector have not been discussed with the same frequency and intensity by researchers. The research shows that there are already widely discussed areas, such as structural capital, while other components of IC have remained on the shadow, such as relational capital. Human capital is the most undiscussed component.Research limitations/implicationsThe manual analysis of the articles can be considered a limitation of this work.Originality/valueThis systematic literature review makes several useful contributions. First, it enables others to replicate scientific research, thanks to its clear and transparent process. Second, it identifies the main areas of research and the main research methods. It enables researchers to identify which issues their work should address and suggests possible areas for future research.

scholarly journals Talent Management in Healthcare: A Systematic Qualitative Review

2021 ◽  
Vol 13 (8) ◽  
pp. 4469
Author(s):  
Konstantinos D. Mitosis ◽  
Demetris Lamnisos ◽  
Michael A. Talias
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Organizational Context ◽  
Management Practices ◽  
Human Resources Management ◽  
Talent Management ◽  
Healthcare Services ◽  
Healthcare Sector ◽  
Healthcare Organizations ◽  
Management Factors

Talent Management (T.M.) constitutes a modern and emerging research area in Human Resources Management (HRM). Using a systematic literature approach, we searched in Talent Management literature in the healthcare sector context. We conclude that the number of related studies is minimal. The benefits of implementing Talent Management strategies in healthcare organizations are essential for the organization’s sustainable development and the talented staff and healthcare services patients. Our goal is to undertake a systematic literature review to identify these factors related to talent management practices suitable for healthcare organizations and professionals. We have conducted, according to PRISMA guidelines, a systematic literature review (2010–2020) in the electronic databases PubMed, CINAHL, Cochrane Database of Systematic Reviews, Health Source/Nursing Academic Edition. Search terms related to T.M. were (“Talent Management” AND “Talent Healthcare”). Strict inclusion and exclusion criteria were set for observational studies, while grey and unpublished literature, uncontrolled studies, protocols, commentaries, and conference proceedings were excluded. All included items were assessed for their quality according to set criteria. Six hundred and eighty-four studies were identified, of which 24 met the requirements. The resulting Talent Management Factors were grouped into nine categories: Programming, Attraction, Development, Preservation, Performance Assessment, Work Climate, Culture, Succession Planning, and Leadership. Based on these factors, we provide a holistic picture of the referred domain’s leading developments. The paper determines the Talent Management factors and explains what happens in practice. In this way, we contribute to building a theoretical framework for T.M. in terms of the organizational context.

scholarly journals Fast Health Interoperability Resources Standard: A Systematic Literature Review (Preprint)

2020 ◽  
Author(s):  
Muhammad Ayaz Sr ◽  
Muhammad Fermi Pasha 2nd ◽  
Mohammed Y. Alzahrani 3rd ◽  
Rahmat Budiarto 4th ◽  
Deris Stiawan 5th
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Patient Information ◽  
New Technologies ◽  
New Technology ◽  
Relevant Literature ◽  
Healthcare Providers ◽  
Data Migration ◽  
Healthcare Sector ◽  
Open Questions

BACKGROUND The information technology has transferred the paper-based healthcare sector into the digital form, where the patient information transfers electronically from one place to another. However, there are still a number of challenges and issues present in this domain because of the lack of proper standards, growth of new technologies (mobile, tablets, ubiquitous computing, etc.), and healthcare providers, who are reluctant to share patient information. Accordingly, a solid systematic literature review was conducted to understand the use of this new technology in the healthcare sector. The main purpose was to explore the relevant literature on Fast Health Interoperability Resources (FHIR) in the healthcare domain and identifies its implementation, exciting challenges, and open questions raised by us in healthcare regarding FHIR. To the best of the our knowledge, there was a lack of comprehensive systemic literature review that could focus on FHIR-based Electronic Health Record (EHR). In addition, FHIR was found to be the latest standard, but it was in the infancy stage of its development. Therefore, it was anticipated that the study under review was a hot area for us and that there were huge research opportunities in it. OBJECTIVE This paper aims mainly to explore the works in FHIR and performs a systematic review of the literatures surrounding FHIR, challenges to FHIR, implementation of FHIR, opportunities, and future FHIR applications. METHODS In January 2020, we searched articles published during January 2012 to December 2019 via all major digital databases in the field of computer science and healthcare, including ACM, IEEE Xplore, Springer, Google Scholar, PubMed, and ScienceDirect. Consequently, an analysis was carried out of the systematic literature review. RESULTS As a result, we reviewed more than 8000 scientific studies published in the last eight years, selected the most significant approaches, and thoroughly surveyed the health care field related to FHIR. We identified open questions, challenges, implementations models, used resources, beneficiary applications, data migration approaches, and goals of the FHIR. CONCLUSIONS Ultimately, the literature analysis necessitated the need and role of FHIR in the healthcare domain in the near future.

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