A Systematic Review of Natural Language Processing for Knowledge Management in Healthcare

Driven by the visions of Data Science, recent years have seen a paradigm shift in Natural Language Processing (NLP). NLP has set the milestone in text processing and proved to be the preferred choice for researchers in the healthcare domain. The objective of this paper is to identify the potential of NLP, especially, how NLP is used to support the knowledge management process in the healthcare domain, making data a critical and trusted component in improving health outcomes. This paper provides a comprehensive survey of the state-of-the-art NLP research with a particular focus on how knowledge is created, captured, shared, and applied in the healthcare domain. Our findings suggest, first, the techniques of NLP those supporting knowledge management extraction and knowledge capture processes in healthcare. Second, we propose a conceptual model for the knowledge extraction process through NLP. Finally, we discuss a set of issues, challenges, and proposed future research areas

A Systematic Review of Natural Language Processing for Knowledge Management in Healthcare

Driven by the visions of Data Science, recent years have seen a paradigm shift in Natural Language Processing (NLP). NLP has set the milestone in text processing and proved to be the preferred choice for researchers in the healthcare domain. The objective of this paper is to identify the potential of NLP, especially, how NLP is used to support the knowledge management process in the healthcare domain, making data a critical and trusted component in improving the health outcomes. This paper provides a comprehensive survey of the state-of-the-art NLP research with a particular focus on how knowledge is created, captured, shared, and applied in the healthcare domain. Our findings suggest, first, the techniques of NLP those supporting knowledge management extraction and knowledge capture processes in healthcare. Second, we propose a conceptual model for the knowledge extraction process through NLP. Finally, we discuss a set of issues, challenges, and proposed future research areas

Opportunities and Challenges in the Use of Big Data in Healthcare: A Literature Review

Digitalisation and the use of technology are pushing the spread of new business models and improving the efficiency of processes. The demand for innovative and revolutionary applications is increasing, along with the use of big data (BD). The proliferation of large quantities of data is receiving considerable attention in all sectors due to the possibility of using these data in decision-making processes. In the healthcare sector, the role of BD is prominent, especially regarding patient diagnostics, fast epidemic recognition and patient management improvement. To ensure personalised care, the health system must transform individual medical services into electronic forms and favour complete and systemic automation based on the advanced technologies of Industry 4.0. This paper consists of a systematic literature review of the use of BD in the healthcare sector, focusing on the opportunities and challenges. To this end, we selected articles from the Scopus and Web of Science databases. Providing a deep understanding of the state of the art, this paper aims to reveal the implications of the use of BD and offer valuable insights to address future research and identify emerging issues. Keywords: big data, healthcare, digitalisation, internet of things, artificial intelligenc

A Systematic Review of Factors Influencing the Maintenance Management of Public Hospitals in Nigeria

Public hospitals are essential for providing healthcare services to the population, especially in developing countries. However, many public hospitals in Nigeria face challenges in maintaining their buildings and facilities, which can affect the quality and safety of healthcare delivery. This study uses the PRISMA guidelines to conduct a systematic review of the factors influencing the maintenance management of public hospitals in Nigeria. A comprehensive search of relevant databases, such as Scopus, Web of Science, PubMed, Google Scholar, and other reliable journals, was conducted in February 2023, resulting in 406 articles. After applying the inclusion and exclusion criteria, 39 articles were selected for data extraction and analysis. The data analysis involved descriptive statistics, thematic analysis, and meta-analysis. The results showed that the factors influencing the maintenance management of public hospitals in Nigeria can be categorized into six groups: statutory requirements, design stage, construction stage, budget for maintenance tasks, managing maintenance unit activities and user’s perception regarding maintenance management. The meta-analysis revealed that the lack of an adequate budget for maintenance was the most significant factor affecting the maintenance performance of public hospitals in Nigeria. The study also identified some gaps and limitations in the existing literature and suggested directions for future research. The study concluded with some recommendations for improving the maintenance management of public hospitals in Nigeria. Keywords: Maintenance management; public hospitals; Nigeria; systematic review; meta-analysis DOI: 10.7176/ADS/107-01 Publication date:September 30th 202

Risks to healthcare organizations and staff who manage obese (bariatric) patients and use of obesity data to mitigate risks: A literature review

This literature review explores obesity risks to healthcare staff and organizations that manage and caring for obese (bariatric) patients. These risks are anticipated to increase due to Australian population obesity rate projections increasing from 31% in 2018 to 42% by the year 2035, which will result in increased hospital admissions of patients with obesity. Literature searches were conducted through the Cumulative Index to Nursing and Allied Health Literature (CINAHL), MEDLINE, Scopus, and Web of Science. Thirty studies met the inclusion criteria and were tabulated and critiqued using appropriate appraisal techniques. High risk of injury to healthcare staff was identified relating to bariatric patient handling tasks. High liability and financial risks of organizations were also identified relating to workers’ compensation and common law claims by injured staff and medical negligence claims by patients with obesity. Availability of obesity data was identified within clinically captured information, which could be utilized to inform obesity risk management programs. Future research should focus on improving the use and quality of obesity data to better understand obesity risks to healthcare organizations and staff, including accurate identification of obese patient admissions, enhanced ability to measure bariatric patient handling hazards and related staff injuries and improved assessment of bariatric intervention effectiveness

A critical review of the research literature on Six Sigma, Lean and StuderGroup's Hardwiring Excellence in the United States: the need to demonstrate and communicate the effectiveness of transformation strategies in healthcare

<p>Abstract</p> <p>Background</p> <p>U.S. healthcare organizations are confronted with numerous and varied transformational strategies promising improvements along all dimensions of quality and performance. This article examines the peer-reviewed literature from the U.S. for evidence of effectiveness among three current popular transformational strategies: Six Sigma, Lean/Toyota Production System, and Studer's Hardwiring Excellence.</p> <p>Methods</p> <p>The English language health, healthcare management, and organizational science literature (up to December 2007) indexed in Medline, Web of Science, ABI/Inform, Cochrane Library, CINAHL, and ERIC was reviewed for studies on the aforementioned transformation strategies in healthcare settings. Articles were included if they: appeared in a peer-reviewed journal; described a specific intervention; were not classified as a pilot study; provided quantitative data; and were not review articles. Nine references on Six Sigma, nine on Lean/Toyota Production System, and one on StuderGroup meet the study's eligibility criteria.</p> <p>Results</p> <p>The reviewed studies universally concluded the implementations of these transformation strategies were successful in improving a variety of healthcare related processes and outcomes. Additionally, the existing literature reflects a wide application of these transformation strategies in terms of both settings and problems. However, despite these positive features, the vast majority had methodological limitations that might undermine the validity of the results. Common features included: weak study designs, inappropriate analyses, and failures to rule out alternative hypotheses. Furthermore, frequently absent was any attention to changes in organizational culture or substantial evidence of lasting effects from these efforts.</p> <p>Conclusion</p> <p>Despite the current popularity of these strategies, few studies meet the inclusion criteria for this review. Furthermore, each could have been improved substantially in order to ensure the validity of the conclusions, demonstrate sustainability, investigate changes in organizational culture, or even how one strategy interfaced with other concurrent and subsequent transformation efforts. While informative results can be gleaned from less rigorous studies, improved design and analysis can more effectively guide healthcare leaders who are motivated to transform their organizations and convince others of the need to employ such strategies. Demanding more exacting evaluation of projects consultants, or partnerships with health management researchers in academic settings, can support such efforts.</p

Electronic Health Records: Cure-all or Chronic Condition?

Computer-based information systems feature in almost every aspect of our lives, and yet most of us receive handwritten prescriptions when we visit our doctors and rely on paper-based medical records in our healthcare. Although electronic health record (EHR) systems have long been promoted as a cost-effective and efficient alternative to this situation, clear-cut evidence of their success has not been forthcoming. An examination of some of the underlying problems that prevent EHR systems from delivering the benefits that their proponents tout identifies four broad objectives - reducing cost, reducing errors, improving coordination and improving adherence to standards - and shows that they are not always met. The three possible causes for this failure to deliver involve problems with the codification of knowledge, group and tacit knowledge, and coordination and communication. There is, however, reason to be optimistic that EHR systems can fulfil a healthy part, if not all, of their potential

Improving access to health services – Challenges in Lean application

Purpose: Healthcare organisations face significant productivity pressures and are undergoing major service transformation. This paper serves to disseminate findings from a Lean healthcare project using a NHS Single Point of Access environment as the case study. It demonstrates the relevance and extent that Lean can be applied to this type of healthcare service setting. Design/methodology/approach: Action research was applied and Lean tools used to establish current state processes, identify wastes and develop service improvement opportunities based upon defined customer values. Findings: The quality of referral information was found to be the root cause of a number of process wastes and causes of failure for the service. Understanding the relationship and the nature of interaction between the service‟s customer/supplier led to more effective and sustainable service improvement opportunities and the co-creation of value. It was also recognised that not all the Lean principles could be applied to this type of healthcare setting. Practical implications: The study is useful to organisations using Lean to undertake service improvement activities. The paper outlines how extending the value stream beyond the organisation to include suppliers can lead to improved co-production and generation of service value. Originality/value: The study contributes to service productivity research by demonstrating the relevance and limitations of Lean application in a new healthcare service setting. The case study demonstrates the practical challenges of implementing Lean in reciprocal service design models and adds validity to existing contextual models