Healthcare Knowledge Management Research Articles

A framework on interplay of knowledge types and dimensions in pandemics – Example of COVID‐19

AbstractRecent literature has documented numerous knowledge management (KM) policy frameworks and models utilised for managing pandemics such as COVID‐19. Perhaps the major focus of existing scholarly work is on the role and relevance of healthcare KM in the COVID‐19 crisis compared to the understanding of healthcare knowledge dimensions and knowledge types in pandemic management and control. Considering the complexities of COVID‐19, we attempt to address a literature gap in the management knowledge of pandemics as the study problem in this paper. The paper proposes a framework to analyse the interplay between the dimensions and knowledge types and its application benefits using the example of COVID‐19 management in the state of Kerala. Considering the disparities in how the pandemic was managed globally, we use the Kerala case to illuminate the different interactions between the three types and four dimensions of knowledge for pandemic management. Future studies may explore the extension and testing of the proposed interplay framework in other contexts.

Mapping the growth and trends of knowledge management in health organizations: A bibliometric exploration

This study performs a detailed bibliometric analysis of 168 research papers on knowledge management (KM) in healthcare from the Scopus database, spanning from 1996 to 2023. Utilizing tools like RStudio with the Biblioshiny package, VOSviewer, and KnowledgeMatrix Plus, the analysis reveals a notable increase in publications over the last ten years. The United Kingdom emerges as the top publisher, followed by the United States and Malaysia. Major themes identified include knowledge, KM, and KM systems, especially focusing on significant papers concerning KM systems in healthcare. This thorough analysis offers important insights into the current trends in KM research within healthcare settings, emphasizing key topics, influential works, leading publishing countries, and collaboration patterns. It's suggested that the analysis could improve by directly comparing these findings with existing research and discussing the strengths and limitations in comparison to other studies. Nevertheless, the results offer practical advice for writers, researchers, and practitioners for identifying gaps in research and creating effective KM strategies in healthcare. This paper adds to the existing knowledge base in the field and lays the groundwork for future research and practical implementation of KM strategies in healthcare.

Knowledge management and innovation in healthcare

In order to increase the effectiveness of medical care and adapt to Industry 4.0 technologies, it becomes necessary to determine the current directions of healthcare development. The study purpose is to identify trends and development patterns of innovative technologies in the field of healthcare using data mining methods. The research methodology is based on the methods’ application of information messages’ text analysis. The data set was formed by parsing publications from Google RSS feeds and PubMed database for the period 2018–2022. To analyze the generated data sets, a dynamic modification of the BERTopic natural language processing model and the Bibliometrix library were used. To assess the differences in the structure of publications in the annual section, the Wilcoxon T-test was applied. The data sets contain 10,307 informational messages from leading publishers and 4,673 scientific publications. Four most relevant areas of research for the healthcare sector have been identified: 1) adaptive management in the field of healthcare; 2) information technologies in healthcare; 3) resource provision of medical organizations; 4) medical care for diseases. The most actively developing direction is related to the use of information technology. The number of publications on this issue in 2022 increased by 137.42% compared to 2020. The main areas of research are the development of medical CRM systems, the use of information technologies both for the development of tools for combating pandemics, and for methods of quality management and lean manufacturing. The study results can be used to improve the quality of medical care to the population of Russia.

Healthcare information management and operational cost performance: empirical evidence.

Healthcare knowledge management systems can mitigate hospitals' operational inefficiency. As a healthcare information technology, the electronic health record (EHR) receives much attention from medical institutions due to its considerable impact on operational cost performance. This paper focuses on EHR systems to address operational inefficiency by which patients pay more for health care services, and many U.S. hospitals are filing for bankruptcy. From the theoretical perspective of the practice-based view, this paper introduces a path to implement EHR systems for improving cost performance. The empirical investigation is archival data of 200 hospitals collected from the U.S. healthcare agencies. Findings contribute to prior work by hypothesizing moderating and mediating roles in EHR systems implementation. This paper introduces absorptive capacity and monitoring mechanisms as enablers of implementing EHR systems. The results showed that hospital monitoring strengthens the relationship between absorptive capacity and electronic health record systems implementation, which results in better operational cost performance. Theoretically, this study supports the long-term potential benefits of EHR adoption, and its findings are consistent with optimizing efficiency through data standardization and interoperability. From a practical perspective, this study supports hospitals' investments in evolving healthcare information technology systems through the development of a knowledge-based system employing EHR, particularly when hospitals are merging or need a financial strategic plan to control expenses.

How Can Transformer Models Shape Future Healthcare: A Qualitative Study.

Transformer models have been successfully applied to various natural language processing and machine translation tasks in recent years, e.g. automatic language understanding. With the advent of more efficient and reliable models (e.g. GPT-3), there is a growing potential for automating time-consuming tasks that could be of particular benefit in healthcare to improve clinical outcomes. This paper aims at summarizing potential use cases of transformer models for future healthcare applications. Precisely, we conducted a survey asking experts on their ideas and reflections for future use cases. We received 28 responses, analyzed using an adapted thematic analysis. Overall, 8 use case categories were identified including documentation and clinical coding, workflow and healthcare services, decision support, knowledge management, interaction support, patient education, health management, and public health monitoring. Future research should consider developing and testing the application of transformer models for such use cases.

Knowledge management as an asset for operational processes in marginal healthcare centers

PurposeThis research paper aims to explore the added value of knowledge management (KM) and its antecedents for innovation and organizational performance (OP) in marginal healthcare organizations.Design/methodology/approachUsing insights from the resource-based view and knowledge-based theory of the firm, the model explains the effects of technology capabilities (TC) and organizational culture (OC) on the KM process, process innovation (PIN), administrative innovation (AIN) and OP. The authors used partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis (fsQCA) to analyze data collected from 168 healthcare practitioners in Cameroon using a survey.FindingsThe authors reveal that TC and OC positively impact some KM components. Knowledge sharing (KS), knowledge acquisition (KA) and responsiveness to knowledge (RK) influence PIN, while only PIN and KA influence OP. FsQCA provided several configurations that lead to high OP within healthcare centers. As a result, the results are adaptable to any healthcare center that wishes to set up one or more KM processes.Research limitations/implicationsGiven that the results will help the health workforce make concerted decisions about medical care, the authors contribute significantly to the definition and optimization of KM in healthcare by implementing various processes and policies to ensure the continued existence of high-quality and outstanding healthcare systems. The KM propositions will enable healthcare centers to: (1) improve the quality of patient care through collegiality in medical practice; (2) optimize processes in the patient care chain; and (3) leverage knowledge gained though knowledge sharing among the medical team. The propositions open up avenues for future research in addition to providing practical implications for healthcare center practitioners.Originality/valueThis study sheds new empirical light on the relationships between KM antecedents and processes, innovation and OP in healthcare centers. This research is one of the few to examine the relationship between TC, OC, KM processes, innovation and OP in developing countries. This paper aims to fill this gap and inform future research concerning KM in the healthcare sector. Further, this study goes beyond testing the PLS-SEM approach's hypotheses by applying fsQCA to provide practical and comprehensive knowledge on how to increase the efficiency of a healthcare center through KM.

Enhancing learning and exploratory search with concept semantics in online healthcare knowledge management systems: An interactive knowledge visualization approach

Healthcare is a knowledge intensive process, which requires large amount of information from various healthcare knowledge providers. However, this growing information makes challengeable for users in finding useful healthcare information to support their healthcare decision making. Knowledge management and knowledge management systems are drawing increasing attention in healthcare community. This paper proposes an online healthcare knowledge management framework and system prototype, featured with integrating knowledge learning and exploratory search for solving problems efficiently. Inspired by the knowledge to action framework in healthcare and the iterative process in software engineering, an iterative and incremental knowledge management model is designed to organize the activities during the knowledge learning and searching procedure. Supported by the knowledge-enhanced infrastructure of online healthcare information designed, domain knowledge learning and task knowledge learning environment can work collaboratively and interactively to improve the result of learning and exploratory search. Knowledge base also provides helpful information in an interactive way for solving problems. Given exploiting probabilistic information retrieval model and concept semantics described in Description Logics, a search intent discovery method and search intent guided learning and searching mechanism are designed within this environment for achieving the learning and search goal. The results of the experiments have proved the efficacy of the methods and process model used in the leaning-focused healthcare knowledge management system.

Enhancing Knowledge Management in Healthcare: An Embedding Fusion Approach to Business Rule Representation

Enterprise Decision Management systems are vital for delivering efficient healthcare services. However, the ever-changing clinical terminology creates complex business rules, making healthcare IT systems difficult to maintain. In this study, we present an embedding fusion technique using unsupervised Natural Language Processing (NLP) to represent business rules as semantic vectors by incorporating multiple text data sources for each rule. We apply this method to a dental insurance administration case study and find that our approach is over 200 times more likely to identify redundant rule pairs compared to random pairs. This case study suggests that an embedding-based technique can significantly improve knowledge management efficiency in healthcare IT systems.

A Systematic Literature Review of Health Information Systems for Healthcare

Health information system deployment has been driven by the transformation and digitalization currently confronting healthcare. The need and potential of these systems within healthcare have been tremendously driven by the global instability that has affected several interrelated sectors. Accordingly, many research studies have reported on the inadequacies of these systems within the healthcare arena, which have distorted their potential and offerings to revolutionize healthcare. Thus, through a comprehensive review of the extant literature, this study presents a critique of the health information system for healthcare to supplement the gap created as a result of the lack of an in-depth outlook of the current health information system from a holistic slant. From the studies, the health information system was ascertained to be crucial and fundament in the drive of information and knowledge management for healthcare. Additionally, it was asserted to have transformed and shaped healthcare from its conception despite its flaws. Moreover, research has envisioned that the appraisal of the current health information system would influence its adoption and solidify its enactment within the global healthcare space, which is highly demanded.

Knowledge management as a management function

Introduction. Due to rapid expansion of the global knowledge-based economy many organizations, including medical ones, have to find and implement the most appropriate knowledge capital solutions that will enable them to achieve sustainable competitive advantages. Background. The paper is aimed to provide theoretical overview of the knowledge management concept in the management system, its functions, effects and advantages of implementation in medical organizations.
 Materials and methods. Analysis and synthesis of scientific publications were used to define the conceptual idea of knowledge management, its functions, principles, advantages, implementation and application.
 Results. The study showed that knowledge management (KM) as a concept and a management function remains understudied in modern scientific literature. In terms of strategic management and sustainable development of medical organizations, scientific works studying KM are poorly presented, which does not allow to fully assess the prospects and possibilities of knowledge management in medicine and healthcare.
 For citation: Zudin AB, Gurtskoy LD, Ananchenkova PI. Knowledge management as a management function. City Healthсare. 2023; 4 (1): 98-104. doi: 10.47619/2713-2617.zm.2023.v.4i1;98-104

The Impact of Big Data Quality Analytics on Knowledge Management in Healthcare Institutions: Lessons Learned from Big Data's Application within The Healthcare Sector

It is widely acknowledged that knowledge management is critical to an organization's survival and growth. Every day, higher education institutions that are considered knowledge centers generate massive volumes of data. When this data is analyzed using appropriate computational methods and technology, it can provide knowledge to improve organizational performance and students' academic experience. Healthcare organizations create massive volumes of data as a result of the usage of digital technologies to manage patient information and the organization's operations. When used successfully, this data aids in the creation of information that improves patient health and everyday organizational functioning, as well as the prevention of unfavorable public health scenarios such as the spread of infectious illnesses. This is where big data analytics comes in, providing rational methods for navigating enormous quantities of data to disclose knowledge that assists businesses and analysts in making faster and better decisions. Higher education, like healthcare, creates large amounts of heterogeneous data that hides useful knowledge. As a result, the strategies used by healthcare companies to improve their performance using big data are replicable in the education domain as well. This article examines the use of big data for knowledge management in healthcare using case studies incorporating various analytics and draws parallels to be applied in higher education. As a result, it highlights the possibility of adapting analytics technology and tools from healthcare to higher education with appropriate revisions and adaptations.

A Framework for Implementing a Computer-Based Knowledge Management System in Healthcare Organisations

Computer-based knowledge management systems provide sustainable management of organisational knowledge. The adoption of computer-based knowledge management systems assists organisations in harmonizing critical knowledge pertaining to their business procedures, and processes to effectively collaborate, reuse, and coordinate their efforts. However, available studies show that the implementation of computer-based knowledge management systems is problematic across a multitude of organisations, especially those in the healthcare sector. In this study, a framework and assessment tool were developed to enable healthcare organisations implement computer-based knowledge management systems successfully. The framework and assessment tool developed were tested as a proof of concept and the evaluation was done by two healthcare knowledge management executives and two industry experts. The framework provides implementation teams with a holistic approach, guidance, and conduct of good practice towards implementing a computer-based knowledge management system, which increases chances of success.

Total Quality and Innovation Management in Healthcare (TQIM-H) for an Effective Innovation Development: A Conceptual Framework and Exploratory Study

To thrive, an organization must adapt to the fast and constant change in the economic environment caused by an aging society, technological changes, and the pandemic crisis. Innovation becomes important for the adaptation of industries. Healthcare is one of them. Innovation development in hospitals is effective and acceptable when its management is effective and aligns with the healthcare quality context since quality is a philosophy of work in life-related settings. To the best of our knowledge, quality management and innovation management in healthcare have never been integrated. Therefore, this research aimed to create an integrated framework of quality and innovation management in healthcare (TQIM-H). To establish the effectiveness of applying TQIM-H for the development of effective healthcare innovation, this study developed a TQIM-H conceptual framework using multiple methodologies including a literature review, multiple case studies analysis, Delphi study with healthcare experts, Technology Acceptance Model (TAM), and triangulation with an external dataset. We constructed a TQIM-H conceptual framework, consisting of seven dimensions, that can be used in developing innovation projects in hospitals and which agrees with safety and quality principles in hospitals.

A Systematic Approach to Healthcare Knowledge Management Systems in the Era of Big Data and Artificial Intelligence

Big data in healthcare contain a huge amount of tacit knowledge that brings great value to healthcare activities such as diagnosis, decision support, and treatment. However, effectively exploring and exploiting knowledge on such big data sources exposes many challenges for both managers and technologists. In this study, we therefore propose a healthcare knowledge management system that ensures the systematic knowledge development process on various data in hospitals. It leverages big data technologies to capture, organize, transfer, and manage large volumes of medical knowledge, which cannot be handled with traditional data-processing technologies. In addition, machine-learning algorithms are used to derive knowledge at a higher level in supporting diagnosis and treatment. The orchestration of a knowledge system, big data, and artificial intelligence brings many advances to healthcare. Our research results show that the system fully ensures the knowledge development process, serving for knowledge exploration and exploitation to improve decision-making in healthcare. The knowledge system is illustrated for the detection and classification of high blood pressure and brain hemorrhage in text and CT/MRI image formats, respectively, from medical records of hospitals. It can support doctors to accurately diagnose the diseases to give appropriate treatment regimens.

Knowledge management effects and performance in health care: a systematic literature review

ABSTRACT Knowledge management is intended to achieve organisational goals through effective management of knowledge resources and performance. This paper presents a review of knowledge management effects and performance in health care. Six databases were searched, the searches employing Boolean operators and combinations of key words. In total, 16 articles fulfilled the criteria set for inclusion. Data were analysed using inductive content analysis. The review shows that in health care knowledge management effects and performance have been viewed from various perspectives: it has been linked to health care functions such as management, finance, patient care, quality and safety, IT, continued improvement of clinical operations, and organisational culture. However, the effects of knowledge management extend also to employees’ work, job satisfaction, learning, knowledge distribution, and productivity. This review aims to summarise the recent research on knowledge management effects and performance in health care. Some of the effects are universal and some are context-specific.

The Effect of Knowledge Management in Healthcare Services: A Systematic Review

The quality of service at health facilities needs to be improved, one of the main keys is the service provided by health workers. The aim of this systematic review was to analyze the effectiveness of knowledge management in healthcare. The systematic review was carried out in March-April 2020 with a range of article search times from 2016-2020 using 5 electronic databases (Scopus, PubMed, Science Direct, CINAHL and ProQuest). The Center for Review and Dissemination and the Joanna Briggs Institute Guideline were used to assess the quality and PRISMA's checklist for this review guide. The literature search described four keyword groups based on Medical Subject Heading (MeSH) and the search description was (knowledge management*' OR 'SECI knowledge management') AND ('health care' OR hospital). The article searched was found 13 articles suitable with the eligibility criteria, the results of the systematic review found that knowledge management had the effectiveness to provide information and knowledge processes, improve decision-making abilities, improve performance and quality of health services and increase organizational effectiveness. As health service providers, hospitals and other health care institutions must continue to improve the quality of services. By improving the quality of services, it is expected to be able to answer the demands of the community to always provide optimal health services. With the application of good knowledge management, ideas and creativity from the workforce will be created in creating health service innovations.

Perception of privacy issues and awareness in health-care knowledge management systems: empirical study in Indian health-care context

PurposeFocusing on the Indian context, with the increase in the amount of data and its analysis in health-care knowledge management (KM), the privacy concerns rise which results in loss of trust of an individual in e-health-care systems. Privacy issues in health care, specific to India, are caused by prevalent complacency, culture, politics, budget limitations, large population and infrastructures. Because of these factors, data security requires a backseat that allows easy access to confidential information. Furthermore, the prevalent culture affects health-care disclosure in India. In many cultures, disclosing sensitive personal health-care data is considered ill mannered. This leads to discrepancies in the recorded health-care data and a decrease in the level of treatment meted out. The results and statistics of treatments given do not match the records because of inaccurate data reporting. With the significant rise in the analysis and use of technology in health-care KM systems, it is important to understand the perception of KM in terms of its use and awareness about data sharing in the KM system. The purpose of the paper is to measure the perception of privacy issues in the context of Indian healthcare management systems.Design/methodology/approachTo measure the perception of the use of the KM system, a set of 20 questions was circulated with a sample size of 337 which includes health-care researchers, doctors, practitioners and patients. The questions focused upon the use, share the sensitive health data in the KM platform. All the demographic information such as age, sex, religion, occupation is recorded. The privacy of the individual is maintained while circulating the questionnaire. The usage of health KM system and its privacy is measured through means and t-test.FindingsThe results of the t-test were found positive. This research study finds that the privacy factor is important among the Indians to share the information with the KM repository. It is also found that medical practitioners or data custodians are not much serious about sensitive data is being stored for analysis. From the statistical perception of usage of KM and its privacy, new architecture and privacy guidelines were suggested which can be considered in future research.Research limitations/implicationsFrom the literature review, the questionnaire has developed which can help policymakers and hospital administrators collect information about KM processes in health-care organizations, and this can result in higher performance of health organizations. The privacy factor can also be included in typical health KM architecture ensure that while knowledge acquisition process, privacy of individual or organization can be maintained.Social implicationsKM enhances the value of corporations and business industries through knowledge production, distribution and provides reliable access to the knowledge resources. KM in health care can comprise a confluence of formal methodologies and techniques to facilitate the creation, identification, acquisition, development, preservation, dissemination and finally the utilization of the various facets of a health-care enterprise’s knowledge assets. According to IBM Global executive report in the year 2012, the entire health-care system has changed from diseases-centric to patient-centric. India is emerging in terms of revenue and employment in the health-care field. The advances of information and communication technology help the health-care sector streamline for data structure and access and health analytics.Originality/valueIn India, the KM is frequently used in health-care industries majorly by health-care practitioners and professionals. As health-care data and knowledge are considered to be sensitive, the privacy of an individual while using the data cannot be compromised. The proposed empirical work will provide a solution in determining the main barriers of implementing privacy policies that need to be solved first and to ensure effective implementation of KM in the health care of India.

Knowledge Management and its role in Health Care Education

Knowledge management in health care is a hot cake to study. Since this sector is heavily relying on theknowledge of different ingredients, and evidence based medicine is expected to be implemented in dailyhealth care activities; besides, delivery of care replies on cooperation of several partners that need toexchange their knowledge in order to provide quality of care. IN health care a knowledge based treatmentand consultancy is most required things in contemporary scenario. Since lot more challenges are lies inthe way of knowledge management. In public health decision is mainly based on data and a shift is neededtowards evidence based decision making. It is obvious that health care can profit from many advantages thatKM can provide. Nevertheless, several challenges are ahead, some are proper to KM and other particular tothe health care field. This chapter will overview KM, its methods and techniques, and provide and insightinto health care current challenges and needs, discuss applications of KM in health care and provide somefuture perspectives for KM in health care.

IMPACT OF HEALTHCARE KNOWLEDGE MANAGEMENT ON THE STRATEGIC POSITION OF HOSPITALS: AN ANALYTICAL STUDY

Healthcare knowledge management HKM has attracted extensive attention in the previous years as a strategical partner with the general strategy of organizations. The HKM aims to identify the organization strategic position within the competitive market. The present study tries to answer many questions that formed the study problem including do hospitals and health units depend on the healthcare knowledge storage to perform its strategical tasks and how to run this healthcare knowledge; does the healthcare knowledge transformation represent the main base to attain these especial strategic tasks by identifying its strategic position. A virtual form has been proposed that reflects the interaction relation nature between variables. The virtual form is clarified by the study's main assumption which was tested using data obtained from surveys and other different data collecting methods about different Iraqi hospitals and health units. The study highlighted the significant role of the HKM in hospitals and health units. Also, it was found that the Iraqi hospitals and health units have a growing interest to diagnose its weaknesses to build a strong internal environment. The present study recommends holding training courses continuously to improve the staff’s abilities. In addition, the study recommends establishing environmental analysis units to study and evaluate environmental changes.

Knowledge management in health care: an integrative and result-driven clinical staff management model

Purpose This paper aims to propose an integrative and result-driven health-care knowledge management (HKM) model and discuss the findings of a research that examines how the KM initiatives of a major private Brazilian hospital system are linked to its health-care performance outcomes. Design/methodology/approach Data were collected from a top-level Brazilian private hospital system (Mater Dei Healthcare System – MDHS), which is composed of three large hospitals internationally accredited by ISO 9001/2000, NIAHO and JCI. Multiple qualitative approaches were used to collect data such as 16 in-depth interviews with health professionals and managers, document analysis, participatory observation and benchmarking interviews with two reference hospital networks in Brazil. Findings The proposed health-oriented KM model is an expansion of the organizational knowing cycle model (Choo, 1996), adding absorptive capacity (ACAP) as a new construct. The paper discusses how ACAP integrates with sense-making, knowledge creation and decision-making processes within the health-care context. Information technology and clinical governance were identified as support factors to the HKM processes. Practical implications The paper presents a pragmatic and result-driven knowledge management (KM) model using health-care-welfare key performance indicators, as well as the emergence of KM as an integrative and strategic approach to hospital management. Originality/value The present study presents a knowledge-based perspective to clinical staff management, demonstrating the tangible results of KM initiatives that contribute to health and management performance outcomes.