"Knowledge management"

BACKGROUND: As healthcare and especially health technology evolve rapidly, new challenges require healthcare professionals to take on new roles. Consequently, the demand for health informatics competencies is increasing, and achieving these competencies using frameworks, such as Technology Informatics Guiding Reform (TIGER), is crucial for future healthcare. AIM: The study examines essential health informatics and educational competencies and health informatics challenges based on TIGER Core Competency Areas...

BACKGROUND: Registries are regarded as a just valuable fount of data on determining neonates suffering prematurity or low birth weight (LBW), ameliorating provided care, and developing studies. OBJECTIVE: This study aimed to probe the studies, including premature infants' registries, adapt the needed minimum data set, and provide an offered framework for premature infants' registries. MATERIAL AND METHODS: For this descriptive study, electronic databases including PubMed, Scopus, Web of Science, ProQuest, and Embase/Medline were searched...

OBJECTIVE: Define the modes of procedure of the Deductive Care Methodology (DCM) in the generation of knowledge about person's health care. METHODOLOGY: Design and test of the DCM modes based on three phases: mapping of the MDC, generation of models from this methodology and testing of the models through studies in a clinical context. RESULTS: The MDC presents five levels of abstraction with three modes broken down to 16 types. The modes are: Philosophical Mode to conceptualize and obtain generalities about reality, Mathematical Mode to operate with generalities, and Physical Mode to operationally verify, validating the results and the predictive capacity of the model...

Clinical trials aim to study new tests and evaluate their effects on human health outcomes, which has a huge market size. However, carrying out clinical trials is expensive and time-consuming and often ends in no results. It will revolutionize clinical practice if we can develop an effective model to automatically estimate the status of a clinical trial and find out possible failure reasons. However, it is challenging to develop such a model because of the lack of a benchmark dataset. To address these challenges, in this paper, we first build a new dataset by extracting the publicly available clinical trial reports from ClinicalTrials...

Predicting adverse drug reactions (ADRs) of drugs is one of the most critical steps in drug development. By pre-estimating the adverse reactions, researchers and drug development companies can greatly prevent the potential ADR risks and tragedies. However, the current ADR prediction methods suffer from several limitations. First, the prediction results are based on pure drug-related information, which makes them impossible to be directly applied for the personalized ADR prediction task. The lack of personalization of models also makes rare adverse events hard to be predicted...

Recent advances in natural language processing enable more intelligent ways to support knowledge sharing in factories. In manufacturing, operating production lines has become increasingly knowledge-intensive, putting strain on a factory's capacity to train and support new operators. This paper introduces a Large Language Model (LLM)-based system designed to retrieve information from the extensive knowledge contained in factory documentation and knowledge shared by expert operators. The system aims to efficiently answer queries from operators and facilitate the sharing of new knowledge...

Artificial intelligence (AI) has seen numerous applications for risk analysis and provides ample opportunities for developing new and improved methods and models for this purpose. In the present article, we conceptualize the use of AI for risk analysis by framing it as an input-algorithm-output process and linking such a setup to three tasks in establishing a risk description: consequence characterization, uncertainty characterization, and knowledge management. We then give an overview of currently used concepts and methods for AI-based risk analysis and outline potential future uses by extrapolating beyond currently produced types of output...

This study validated the content of an instrument designed to assess the knowledge, involvement (attitudes) and management (practice) of dentists relative to sickle-cell disease (KAPD-SCD). The instrument consisted of five domains composed of a total of thirteen items: I. Dentist's self-assessment relative to sickle-cell disease; II. Dentist's knowledge of the repercussions of sickle-cell disease on the stomatognathic system; III. Dentist's knowledge of the complications of sickle-cell disease in the stomatognathic system; IV...

BACKGROUND: Due to the changing conditions of education, research, and treatment in the world, especially the recent pandemic, and more use of virtual space, there is a need for evaluation of digital professionalism in faculty members as the most influential people who have a direct and deep impact on the next generation. METHODS: In this analytical cross-sectional study that was conducted in 2023 on 149 faculty members of Iran University of Medical Sciences, they were invited to participate in the study through various methods (SMS, E-mail, and media messages)...

OBJECTIVE: In many medical schools, students are exposed to obstetrics for 2 weeks during the third-year obstetrics and gynecology clerkship. Hence, the purpose of this study was to evaluate the effectiveness of a curriculum combining online obstetric modules and a normal spontaneous vaginal delivery (NSVD) simulation on medical student knowledge and comfort pertaining to obstetrics at the start of the clerkship. METHODS: Students completed the curriculum at the start of the clerkship...

OBJECTIVE: To support a pragmatic, electronic health record (EHR)-based randomized controlled trial, we applied user-centered design (UCD) principles, evidence-based risk communication strategies, and interoperable software architecture to design, test, and deploy a prognostic tool for children in emergency departments (EDs) with pneumonia. METHODS: Risk for severe in-hospital outcomes was estimated using a validated ordinal logistic regression model to classify pneumonia severity...

The skill of knowledge management empowers practitioners to efficiently integrate and apply knowledge in the clinical context. Current medical knowledge is vast which is beyond the human capacity to retain. Hence, modern-day learning is not just knowledge acquisition, but the organization of knowledge in a retrievable manner. Advancing technology in digital learning spaces and artificial intelligence enables the development of personalized knowledge platforms. Clinicians should find their own ideal spaces for knowledge management from the early stages of their careers, and develop it into a lifelong learning platform, which will eventually lead to better patient care...

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...

BACKGROUND: In Saudi Arabia, cardiovascular diseases (CVDs) establish a significant health challenge, with a high prevalence and substantial impact on mortality and disability burden. Evaluating the knowledge, attitude, and practices (KAPs) of hospital pharmacy professionals towards CVDs prevention and management is crucial for effective healthcare strategies. METHODS: A cross-sectional, multicenter study was conducted using a self-administered survey targeting hospital pharmacists and pharmacy technicians in the Madinah region of Saudi Arabia...

BACKGROUND: China is among the 10 high-burden tuberculosis (TB) countries in the world; thus, investigation and management of household contacts is an essential part of TB prevention strategy. OBJECTIVE: To explore the knowledge, attitude, and practice (KAP) toward TB prevention and management among household contacts of TB patients. METHODS: This cross-sectional study enrolled household contacts in Suzhou Hospital of Integrated Traditional Chinese and Western Medicine between September 2022 and January 2023; KAP and demographic characteristics were assessed with the self-designed questionnaire and analyzed by multivariate logistic regression...

INTRODUCTION: In medical education, department chairs should play a significant role. The present qualitative study was conducted to identify factors that influence the performance improvement of department chairs at medical schools in Iran. METHODS: The study was conducted in Iran in 2022 and used a thematic analysis method. Using a purposeful sampling method, 20 participants were invited to participate, including medical school deans and department chairs. Focus group discussion (FGD) was used for qualitative data gathering...

BACKGROUND: The COVID-19 pandemic is one of the worst health catastrophes of the last century, which caused severe economic, political, and social consequences worldwide. Despite these devastating consequences, lessons learned provide a great opportunity that can drive the reform of health systems to become high-performing, effective, equitable, accessible, and sustainable organisations. This work identifies areas in which changes must be encouraged that will enable health systems to deal effectively with current and future challenges, beyond COVID-19...

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...

BACKGROUND: In recent years, the fast-paced adoption of digital health (DH) technologies has transformed health care delivery. However, this rapid evolution has also led to challenges such as uncoordinated development and information silos, impeding effective health care integration. Recognizing these challenges, nations have developed digital health strategies (DHSs), aligning with their national health priorities and guidance from global frameworks. The World Health Organization (WHO)'s Global Strategy on Digital Health 2020-2025 (GSDH) guides national DHSs...

OBJECTIVE: This study aimed to evaluate the effect of a new health communication intervention focusing on knowledge management skills on health literacy and medication adherence during the first year following kidney transplantation. METHODS: We randomized 195 patients during 2020-2021, to either intervention- or control group. Questionnaires were completed at baseline and at 12 months post-transplantation with a 12-month response rate of 84%. Health literacy was measured by the multidimensional Health Literacy Questionnaire (HLQ) instrument...