The Procedures for Documenting Organizational Knowledge and Experiences: A Scoping Review.

Background: The present study was motivated by issues with earlier studies on documenting knowledge and experiences. This scoping review investigates and maps the procedures for documenting organizational knowledge and experiences. Methods: Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) extension for Scoping Reviews (PRISMA-ScR) guidelines, a scoping review was conducted. Data were obtained by searching PubMed, Web of Science, Scopus, ProQuest, Embase, and Emerald Insight databases and Persian databases, such as Magiran, Noormags, and Ensani. The selected terms were searched using the Boolean AND/OR operators, phrases, parentheses, and truncations in the title, abstract, keywords, and text word fields. The inclusion criteria were resources relevant to the research question, studies in English and Persian, original research articles, and resources published between 2011 and 2022. Finally, 8 related papers were selected as the research population after screening records. Results: The review of the selected studies indicates that there have been different steps for documenting knowledge and experiences according to the subject's scope and the goals of the studies. The included articles revealed numerous steps for documentation-including planning, acquisition, registration, evaluation, submission, maintenance, publication, application, payment, and compensation. Conclusion: Although a systematic mechanism for documenting knowledge and experience is essential, many processes and phases are offered for documentation. Therefore, a complete review that synthesizes and integrates past study findings must still be included. Several shortcomings in past research on documenting knowledge and expertise prompted the present study. The results of the present study can be of great use to managers and employees of various organizations in topics such as the creation of standards for documenting knowledge and experiences, organizational-structural planning in this field, and training on different documentation methods.

A theory based study on diabetes self-management in older Chinese adults.

Approximately 1 in 3 (or 80 million) Chinese age 60 years or older are living with type 2 diabetes in China. New perspectives are needed to understand the intricate phenomenon of diabetes self-management (DSM) in older Chinese adults. Guided by the expanded Tripartite Model of Self-Management, this study aimed to identify the inter-relationships between the tripartite components simultaneously and their influencing factors. This cross-sectional study included a stratified random sample of 98 community-dwelling adults age 60 or older with type 2 diabetes. Findings revealed distinct predictors for knowledge about DSM, DSM behaviors and coping. There were significant inter-relationships among the tripartite components. The theoretical model was a good fit for the data. This study provides valuable insights into the complex relationships between knowledge about DSM, DSM behaviors, and coping strategies, offering direct implications for improving the health outcomes of older adults with diabetes.

A Case Study in Application of the Risk Knowledge Infinity Cycle.

The Risk Knowledge Infinity (RKI) Cycle Framework was featured as part of the ICH-sanctioned training materials supporting the recent issuance of ICH Q9(R1) Quality Risk Management To support ICH Q9(R1) understanding and adoption, this paper presents a case study on the application of the RKI Cycle, based on an underlying out-of-specification investigation. This case study provides a stepwise walk-through of the cycle to illustrate how key concepts within the ICH Q9(R1) revision can be achieved through better connecting quality risk management and knowledge management with a framework such as the RKI Cycle.

An innovative referral system: Bridging healthcare providers and community supports for pregnant and parenting people.

The connection between community healthcare providers and available community-based programs is often weak. For community members to be connected with services, a strong referral link between providers and programs is paramount. The Referral Express and Central Hub (REACH) project was born out of this need for Nurse-Family Partnership (NFP) program sites in the Denver Metro area of Colorado to be better connected and coordinated with local referral sources. The objective of the REACH pilot was to create a centralized referral system and determine its feasibility in practice. After a 12-month pilot, this innovative referral system supported the increase in a number of referral partners to Denver Metro area sites, an increase in clients served across the Denver Metro area, as well as an increase in the "refer to enroll" rate which increased by 37%. The success of the pilot of REACH led the developers to test the process on a second program, Child First, which was also successful. REACH has proved to be sustainable and continues to operate for both programs. Additionally, REACH acts as a consultant to NFP sites outside the Denver Metro area, in the state of Colorado, as each site works to increase its relationships with referral partners.

Factors influencing knowledge sharing between scientific specialists in knowledge networks and communities of practice: A systematic literature review.

Knowledge sharing is a competitive advantage and necessity for the success of any organization. Meanwhile, knowledge networks have been introduced as a way to enhance knowledge sharing between individuals and as an effective tool to facilitate knowledge exchange in clinical, educational, and commercial fields. The purpose of this paper is to identify the factors that can affect the level of knowledge sharing and exchange between academic and scientific specialists in knowledge networks and Communities of Practice (COP). A systematic literature review was conducted using the PRISMA guidelines. Four databases were searched, including Scopus, Web of Science, PubMed, and ProQuest. Google Scholar search was conducted to complete the search and ensure the tracking of the gray literature. Also, relevant sources, references, and reference lists of the related articles were reviewed. The studies were searched from April until August 2022 and finally the content analysis of the findings was done. Two reviewers independently assessed the quality of included studies. Data were extracted using the Joanna Briggs Institute (JBI) checklist tool. Of the 1439 records, 13 studies met the inclusion criteria. This study identified three main categories of factors affecting knowledge sharing in knowledge networks and COPs as individual factors, organizational, and structural. The results showed that knowledge networks provide opportunities to overcome professional barriers and complex systemic challenges and lead to knowledge sharing and exchange among scientific specialists. This article has important implications for managers, health policymakers, and academics who wish to expand knowledge sharing of scientific specialists through knowledge networks and CoPs in knowledge-based organizations.

Artificial Intelligence Algorithms for Expert Identification in Medical Domains: A Scoping Review.

With abundant information and interconnectedness among people, identifying knowledgeable individuals in specific domains has become crucial for organizations. Artificial intelligence (AI) algorithms have been employed to evaluate the knowledge and locate experts in specific areas, alleviating the manual burden of expert profiling and identification. However, there is a limited body of research exploring the application of AI algorithms for expert finding in the medical and biomedical fields. This study aims to conduct a scoping review of existing literature on utilizing AI algorithms for expert identification in medical domains. We systematically searched five platforms using a customized search string, and 21 studies were identified through other sources. The search spanned studies up to 2023, and study eligibility and selection adhered to the PRISMA 2020 statement. A total of 571 studies were assessed from the search. Out of these, we included six studies conducted between 2014 and 2020 that met our review criteria. Four studies used a machine learning algorithm as their model, while two utilized natural language processing. One study combined both approaches. All six studies demonstrated significant success in expert retrieval compared to baseline algorithms, as measured by various scoring metrics. AI enhances expert finding accuracy and effectiveness. However, more work is needed in intelligent medical expert retrieval.

Health and social care managers' self-assessed competence in knowledge management: A descriptive cross-sectional study.

AIM: To describe health and social care managers' self-assessed competence in knowledge management and the factors associated with management competence. BACKGROUND: It has been shown that the performance of an organization is as good as the competence of its managers, so health and social care managers' competence in knowledge management should be assessed to improve organizational performance. DESGIN: A descriptive cross-sectional design. METHODS: A total of 116 managers participated from six Finnish public health and social care organizations. The data were collected in February and August 2022 using the managers' competence in knowledge management (MCKM) instrument and analysed using descriptive statistical methods. RESULTS: Health and social care managers rated their self-reported total competence in knowledge management as good. Among the dimensions of knowledge management competence, managing a culture of competence received the highest rating, while planning competence development and cooperation was perceived as the weakest dimension. The results indicate that background factors such as the healthcare setting, the number of units managed and the number of direct staff had a statistically significant association with the health and social care managers' self-assessed competence in planning competence development and cooperation. CONCLUSION: Even though the health and social care managers' total self-assessed competence level in knowledge management was rated as good, the results underscore the significance of continuous competence development among these managers in all dimensions of knowledge management. IMPACT: By enhancing and clarifying managers' tasks and competence in knowledge management, managers can increase staff retention, attractiveness and work well-being. IMPLICATIONS: The results can be utilized to identify managers' strengths and weaknesses in knowledge management and, thus, effectively target their limited competence development resources. REPORTING METHOD: The STrengthening the Reporting of OBservational studies in Epidemiology (STROBE) checklist. PATIENT OR PUBLIC CONTRIBUTION: There is no patient or public contribution.

The knowledge and holistic management indicators to measure the sustainability of area-based infrastructure project (AIP).

For determining the effectiveness of area-based infrastructure management, a comprehensive measurement to implement and develop an infrastructure project would need to be integrated in holistic and knowledge management. The main objective of this study was to identify the keys to measurement the sustainability of area-based infrastructure project (AIP) management. First, the key performance indicators were reviewed and selected. Next, the interviews with project developers and managers of the pilot site were conducted to investigate the real context of significant keys. The discussion with five experts who have relevant experience in area-based infrastructure projects management then arose to validate possible key performance indicators. Based on the expert comments, the questionnaire was revised for its validity and clarity. Then, the data collection using a questionnaire was sent out to representative samples across Thailand. Later, there was the analysis to interpret the survey results. The results revealed that there are two groups of keys to measure the sustainability of AIP management. One was the "Holistic Management (HM)", which consisted of seventeen components. The other was the "Knowledge Management (KM)", which involved six similarity items. It was found that the aforementioned factors can explain 70.024% of the total cumulative variance in the entire datasets compiled for the assessment of keys to measurement the sustainability of AIP management. The main outcomes from this study can be beneficial for the development of effective and good governance strategies for achieving sustainability patterns of area-based infrastructure project management. This theory offers the understanding of how the effectiveness of key measurement of AIP management can drive sustainable development project s, which can help in project manager and developer research on identity-related transitions.

Procedures for transferring organizational knowledge during generational change: A systematic review.

The loss of organizational knowledge has emerged as a prevalent issue for 21st-century organizations. This systematic review aims to scrutinize knowledge transfer procedures applied to individuals in managerial and intermediate positions during generational change or knowledge management initiatives. Following the PRISMA statement [1], this review progressed through four stages, applying inclusion and exclusion criteria, and ultimately identifying 28 articles for the final analysis. Descriptive indicators and content-related metrics were employed in the study. Key findings include: (1) predominant investment in knowledge retention studies and procedure design is observed among large companies, primarily in the secondary sector; (2) digitalization emerges as a critical aspect of effective organizational knowledge transfer procedures and protocols; (3) intra-organizational communication styles are predominantly employed for knowledge transfer; (4) organizations prefer a collective approach to transferring both tacit and explicit knowledge. In summary, this research offers fresh insights into a pivotal area of business management, showcasing originality in its exploration of knowledge transfer within the realms of generational change and knowledge management.

Sharing Digital Health Educational Resources in a One-Stop Shop Portal: Tutorial on the Catalog and Index of Digital Health Teaching Resources (CIDHR) Semantic Search Engine.

BACKGROUND: Access to reliable and accurate digital health web-based resources is crucial. However, the lack of dedicated search engines for non-English languages, such as French, is a significant obstacle in this field. Thus, we developed and implemented a multilingual, multiterminology semantic search engine called Catalog and Index of Digital Health Teaching Resources (CIDHR). CIDHR is freely accessible to everyone, with a focus on French-speaking resources. CIDHR has been initiated to provide validated, high-quality content tailored to the specific needs of each user profile, be it students or professionals. OBJECTIVE: This study's primary aim in developing and implementing the CIDHR is to improve knowledge sharing and spreading in digital health and health informatics and expand the health-related educational community, primarily French speaking but also in other languages. We intend to support the continuous development of initial (ie, bachelor level), advanced (ie, master and doctoral levels), and continuing training (ie, professionals and postgraduate levels) in digital health for health and social work fields. The main objective is to describe the development and implementation of CIDHR. The hypothesis guiding this research is that controlled vocabularies dedicated to medical informatics and digital health, such as the Medical Informatics Multilingual Ontology (MIMO) and the concepts structuring the French National Referential on Digital Health (FNRDH), to index digital health teaching and learning resources, are effectively increasing the availability and accessibility of these resources to medical students and other health care professionals. METHODS: First, resource identification is processed by medical librarians from websites and scientific sources preselected and validated by domain experts and surveyed every week. Then, based on MIMO and FNRDH, the educational resources are indexed for each related knowledge domain. The same resources are also tagged with relevant academic and professional experience levels. Afterward, the indexed resources are shared with the digital health teaching and learning community. The last step consists of assessing CIDHR by obtaining informal feedback from users. RESULTS: Resource identification and evaluation processes were executed by a dedicated team of medical librarians, aiming to collect and curate an extensive collection of digital health teaching and learning resources. The resources that successfully passed the evaluation process were promptly included in CIDHR. These resources were diligently indexed (with MIMO and FNRDH) and tagged for the study field and degree level. By October 2023, a total of 371 indexed resources were available on a dedicated portal. CONCLUSIONS: CIDHR is a multilingual digital health education semantic search engine and platform that aims to increase the accessibility of educational resources to the broader health care-related community. It focuses on making resources "findable," "accessible," "interoperable," and "reusable" by using a one-stop shop portal approach. CIDHR has and will have an essential role in increasing digital health literacy.

A network of regulatory innovations to improve FDA quality assessments of human drug applications.

A network of regulatory innovations brings a holistic approach to improving the submission, assessment, and lifecycle management of pharmaceutical quality information in the U.S. This dedicated effort in the FDA's Center for Drug Evaluation and Research (CDER) aims to enhance the quality assessment of submissions for new drugs, generic drugs, and biological products including biosimilars. These regulatory innovations include developing or contributing: (i) the Knowledge-Aided Assessment and Structured Application (KASA), (ii) a new common technical document for quality (ICH M4Q(R2)), (iii) structured data on Pharmaceutical Quality/Chemistry, Manufacturing and Controls (PQ/CMC), (iv) Integrated Quality Assessment (IQA), (v) the Quality Surveillance Dashboard (QSD), and (vi) the Established Conditions tool from the ICH Q12 guideline. The innovations collectively drive CDER toward a more coordinated, effective, and efficient quality assessment. Improvements are made possible by structured regulatory submissions, a systems approach to quality risk management, and data-driven decisions based on science, risk, and effective knowledge management. The intended result is better availability of quality medicines for U.S. patients.

If you build it, will they come? Exploring the success factors of knowledge management systems in the Malaysian public sector.

The current study investigates the factors that influence the success of knowledge management systems in the public sector. This study integrates the DeLone and McLean Model with critical organizational factors. The model has been tested on the data collected from 158 employees in the public sector in Malaysia, the study found that knowledge content quality has a higher significant impact on the use of knowledge management systems than system quality. Perceived usefulness also has a greater impact than user satisfaction in determining the system's overall success. Among the organizational factors, leadership is the most significant determinant of success. However, the culture of sharing, perceived trust, and incentives do not significantly influence the use of knowledge management systems. The findings suggest that public sector organizations should focus on both system and organizational factors to implement successful knowledge management systems.

Translating a value-based framework for resilient e-learning impact in post COVID-19 times: Research-based Evidence from Higher Education in Kuwait.

The covid-19 pandemic has changed people's daily lives and behaviors all across the world and has impacted practically every element of human existence. The introduction of remote education systems and the move toward online learning have had some of the most significant effects. The on-site operations of educational institutions, such as schools, colleges, and universities, have had to be suspended in order to stop the virus' spread. In order to effectively disseminate instructional material and guarantee the unbroken progression of students' academic endeavors, educators have been forced to look for novel approaches. The study used the Value-Based Adoption Model (VAM) as a conceptual framework to look into the factors that affected Kuwait's e-learning outcomes in the midst of the covid-19 pandemic. 382 students at Kuwaiti universities and colleges were the source of quantitative data collection. The findings revealed that peer interaction emerged as the most influential factor in shaping outcomes within the educational context of Kuwait, while instructors and course design factors were not significant. Using the VAM, this study investigated the impact of several factors on students' e-learning results during times of crisis. The research expands the existing knowledge base in the field on this subject and suggests developing a well-organized online learning crisis approach. The main contribution of this work is summarized on (i) An integrated framework for the quality of the e-learning experience in universities in post-covid-19 times and (ii) A resilient higher education institutional learning strategy model in post-covid-19 times. The findings of this paper can be generalizable to other Gulf Corporation Council (GCC) countries such as Kingdom of Saudi Arabia, Qatar, United Arab Emirates (UAE), Bahrain and Oman. This is due to the shared cultural traditions and values, along with similar educational systems among these nations.

Developing an online knowledge sharing platform and community of practice for health professionals: Experiences from C-WorKS developed in North East England and Yorkshire during COVID-19.

BACKGROUND: Although knowledge sharing online has been recognised as an important strategy for health professionals to apply research findings to their practice, limited research exists on how to develop and implement these platforms to help facilitate collaboration and knowledge sharing. OBJECTIVES: This study evaluated an online knowledge sharing platform and community of practice developed in the North East of England and Yorkshire during COVID-19 to support UK health and care professionals to reduce the impact of the wider consequences of COVID-19. METHODS: Semi-structured interviews with stakeholders (n = 8) and users of C-WorKS (n = 13), followed by an online survey (n = 19) among a wider group of users to analyse knowledge use. RESULTS: Interview and survey findings highlighted several strengths, weaknesses, opportunities and threats to support future development of online knowledge sharing platforms. DISCUSSION: Online knowledge sharing supports six 'pillars' of successful research and innovation partnerships. This requires distributed forms of leadership and linking of different knowledge sharing strategies, and careful combination of platforms with communities of practice. CONCLUSION: Online knowledge sharing provides pragmatic and timely strategies for health professionals in the UK to apply research evidence to their practice. Our study provides generalisable, practical insights in how to develop and implement a knowledge sharing platform.

Social networks in radiology: Toward a new paradigm in medical education?

The universally accepted system for the transmission of scientific knowledge in the field of medicine has long been grounded in scientific publications. Social networks can be a useful alternative or complementary method of transmitting this knowledge. Social networks (e.g., Twitter, Instagram, Facebook, LinkedIn, YouTube, and TikTok) generate educational contents that enable quality training, despite their informality. Each of these networks has strengths and weaknesses that users should know about. These platforms are free and allow for real-time discussion. They make it easy to incorporate content and to contact experts or access sources of knowledge directly. Aware of their influence, publishers have incorporated metrics to measure the impact of their articles in social networks (Altmetrics). These networks should be incorporated into departmental training programs immediately. Nevertheless, navigating through social networks is complex, and the hashtag-based system of searching is inefficient, limiting their use in education. Despite the informality of the knowledge generated on social networks, the importance of these networks as a source of knowledge is growing. Radiology departments must design a strategy for using social networks for education rather than for propaganda, creating well-organized focal groups that search for contents through systematic, filtered review of information, digital repositories, and review sessions and for sharing this knowledge both inside and outside the department. Departments must also implement a strategy for communicating through these networks.

Knowledge-intensive teamwork development through social media adoption after the COVID-19 pandemic in higher education institutions.

Although knowledge drives organizational growth, limited teamwork skills have hindered effective knowledge sharing and utilization across departments and individuals in higher education institutions (HEIs). Thus, this paper develops a pertinent knowledge-intensive teamworking model for HEIs. Educational background, leadership, and social media adoption were independent variables, while knowledge acquisition, development, application, revision, and knowledge-intensive teamwork were dependent variables. Using an online questionnaire, a quantitative investigation of 918 people across different HEIs tested hypotheses based on PLS-SEM findings. Results showed that educational background, leadership, and social media adoption are integral enablers in smoothing knowledge management operations, while the synergistic combination of process phases drives teamwork. Consequently, outcomes establish foundations for fostering a continuous learning culture, accountability, and cooperation in HEIs.

Guía en redes sociales de radiología. ¿Hacia un nuevo paradigma en educación médica? / Social networks in radiology: Toward a new paradigm in medical education?

El sistema universalmente aceptado para la transmisión del conocimiento científico en medicina se basa desde hace mucho en las publicaciones científicas. Las redes sociales (RRSS) son una alternativa o complemento que puede ser útil. Las RRSS (Twitter, Instagram, Facebook, LinkedIn, YouTube, TikTok) tienen generadores de contenidos educativos que pueden proporcionar formación de calidad, a pesar de su informalidad. Cada una tiene sus puntos fuertes y sus debilidades, que conviene conocer. Son gratuitas y permiten discutir en vivo, incorporar contenidos ágilmente y contactar directamente con expertos o fuentes de conocimiento. Las editoriales son conscientes de su influencia y han incorporado métricas que miden el impacto en ellas de los artículos (Altmetrics). La estrategia formativa de cualquier servicio debe incorporarlas ya. Sin embargo, navegar en ellas es complejo y el sistema de búsqueda, basado en hashtags, es ineficiente, por lo que su uso en educación sigue siendo cosa de excéntricos. El conocimiento generado en las RRSS, a pesar de su informalidad, es una fuente cada vez más importante de conocimiento. Los servicios de radiología deben definir una estrategia de RRSS, no con fines de propaganda, sino educativos, creando grupos focales bien formados que busquen contenidos mediante revisión sistemática y filtros, repositorios digitales y sesiones de revisión y los compartan dentro y fuera del servicio. Igualmente, debe ser implementada una estrategia de comunicación a través de redes.(AU)

The universally accepted system for the transmission of scientific knowledge in the field of medicine has long been grounded in scientific publications. Social networks can be a useful alternative or complementary method of transmitting this knowledge. Social networks (e.g., Twitter, Instagram, Facebook, LinkedIn, YouTube, and TikTok) generate educational contents that enable quality training, despite their informality. Each of these networks has strengths and weaknesses that users should know about. These platforms are free and allow for real-time discussion. They make it easy to incorporate content and to contact experts or access sources of knowledge directly. Aware of their influence, publishers have incorporated metrics to measure the impact of their articles in social networks (Altmetrics). These networks should be incorporated into departmental training programs immediately. Nevertheless, navigating through social networks is complex, and the hashtag-based system of searching is inefficient, limiting their use in education. Despite the informality of the knowledge generated on social networks, the importance of these networks as a source of knowledge is growing. Radiology departments must design a strategy for using social networks for education rather than for propaganda, creating well-organized focal groups that search for contents through systematic, filtered review of information, digital repositories, and review sessions and for sharing this knowledge both inside and outside the department. Departments must also implement a strategy for communicating through these networks.(AU)

Using a Natural Language Processing Approach to Support Rapid Knowledge Acquisition.

Implementing artificial intelligence to extract insights from large, real-world clinical data sets can supplement and enhance knowledge management efforts for health sciences research and clinical care. At Vanderbilt University Medical Center (VUMC), the in-house developed Word Cloud natural language processing system extracts coded concepts from patient records in VUMC's electronic health record repository using the Unified Medical Language System terminology. Through this process, the Word Cloud extracts the most prominent concepts found in the clinical documentation of a specific patient or population. The Word Cloud provides added value for clinical care decision-making and research. This viewpoint paper describes a use case for how the VUMC Center for Knowledge Management leverages the condition-disease associations represented by the Word Cloud to aid in the knowledge generation needed to inform the interpretation of phenome-wide association studies.

Examining Knowledge Management and the Culture Change Movement in Long-Term Care: A Study of High-Medicaid-Census Nursing Homes.

High-quality nursing home (NH) care has long been a challenge within the United States. For decades, policymakers at the state and federal levels have adopted and implemented regulations to target critical components of NH care outcomes. Simultaneously, our delivery system continues to change the role of NHs in patient care. For example, more acute patients are cared for in NHs, and the Center for Medicare and Medicaid Services (CMS) has implemented value payment programs targeting NH settings. As a part of these growing pressures from the broader healthcare delivery system, the culture-change movement has emerged among NHs over the past two decades, prompting NHs to embody more person-centered care as well as promote settings which resemble someone's home, as opposed to institutionalized healthcare settings. Researchers have linked culture change to high-quality outcomes and the ability to adapt and respond to the ever-changing pressures brought on by changes in our regulatory and delivery system. Making enduring culture change within organizations has long been a challenge and focus in NHs. Despite research suggesting that culture-change initiatives that promote greater resident-centered care are associated with several desirable patient outcomes, their adoption and implementation by NHs are resource intensive, and research has shown that NHs with high percentages of low-income residents are especially challenged to adopt these initiatives. This chapter takes a novel approach to examine factors that impact the adoption of culture-change initiatives by assessing knowledge management and the role of knowledge management activities in promoting the adoption of innovative care delivery models among under-resourced NHs throughout the United States. Using primary data from a survey of NH administrators, we conducted logistic regression models to assess the relationship between knowledge management and the adoption of a culture-change initiative as well as whether these relationships were moderated by leadership and staffing stability. Our study found that NHs were more likely to adopt a culture-change initiative when they had more robust knowledge management activities. Moreover, knowledge management activities were particularly effective at promoting adoption in NHs that struggle with leadership and nursing staff instability. Our findings support the notion that knowledge management activities can help NHs acquire and mobilize informational resources to support the adoption of care delivery innovations, thus highlighting opportunities to more effectively target efforts to stimulate the adoption and spread of these initiatives.