METHODS: Semi-structured interviews were conducted among 31 medical doctors in three Malaysian government hospitals on the implementation of the Total Hospital Information System (THIS) between March and May 2015. A thematic qualitative analysis was performed on the resultant data to deduce the relevant themes.

RESULTS: Five themes emerged as the factors influencing workarounds to the HIS: (a) typing skills, (b) system usability, (c) computer resources, (d) workload, and (e) time.

Methods: The National Societies for Emergency Medicine of Hong Kong, India, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand and Turkey participated in the joint Japanese Association of Acute Medicine (JAAM) and Asian Conference of Emergency Medicine (ACEM) Special Symposium held in October 2013 at Tokyo, Japan. The findings are reviewed in this paper.

Results: Emergency medicine (EM) has over the years evolved into a distinct and recognized medical discipline requiring a unique set of cognitive, administrative and technical skills for managing all types of patients with acute illness or injury. EM has contributed to healthcare by providing effective, safe, efficient and cost-effective patient care. Integrated systems have developed to allow continuity of emergency care from the community into emergency departments. Structured training curriculum for undergraduates, and specialty training programs for postgraduates are in place to equip trainees with the knowledge and skills required for the unique practice of EM.

Methods: Cost and workload data were obtained from hospital records for 2015. Time allocation of staff between laboratory testing and other activities was determined using assumptions from published workload studies.

Results: The laboratory received 20,093 cases for testing in 2015, and total expenditures were US $1.20 million, ie, $61.97 per case. The anatomic pathology laboratory accounted for 5.2% of the laboratory budget at the hospital, compared to 64.3% for the clinical laboratory and 30.5% for the microbiology laboratory. We provide comparisons to a similar laboratory in the United States.

METHODS: This was an observational, cross-sectional survey using a convenience sampling method conducted at the University Malaya Medical Centre (UMMC) In-Patient Pharmacy. A validated online questionnaire assessed user satisfaction and task duration.

RESULTS: A total of 21 pharmacists and 18 pharmacy assistants participated in the survey. Most pharmacists (n = 17/21) were confident in the system, and both pharmacists and pharmacy assistants perceived it to be beneficial for patients (n = 33/39) and for reducing medication errors (n = 32/39). Pharmacy assistants spent approximately 5.34 hours on traditional work including filling medication orders (1.44 hours) after automated tablet dispensing and packaging system (ATDPS) implementation. Pharmacists spent 1.19 hours filling medication orders and 1.71 hours checking/verifying them, in contrast.

METHODS: Using online surveys, availability of specialty manpower and MDTBs among PSTUs was first determined. From the subset of PSTUs with MDTBs, one pediatric surgeon and one pediatric oncologist from each center were queried using 5-point Likert scale questions adapted from published questionnaires.

RESULTS: In 37 (80.4%) of 46 identified PSTUs, availability of pediatric-trained specialists was as follows: oncologists, 94.6%; surgeons, 91.9%; radiologists, 54.1%; pathologists, 40.5%; radiation oncologists, 29.7%; nuclear medicine physicians, 13.5%; and nurses, 81.1%. Availability of pediatric-trained surgeons, radiologists, and pathologists was significantly associated with the existence of MDTBs (P = .037, .005, and .022, respectively). Among 43 (89.6%) of 48 respondents from 24 PSTUs with MDTBs, 90.5% of oncologists reported > 50% oncology-dedicated workload versus 22.7% of surgeons. Views on benefits and barriers did not significantly differ between oncologists and surgeons. The majority agreed that MDTBs helped to improve accuracy of treatment recommendations and team competence. Complex cases, insufficient radiology and pathology preparation, and need for supplementary investigations were the top barriers.

Methods: A descriptive cross-sectional study was carried out at the Kubang Kerian Nursing College, Kelantan which involved 346 respondents using simple random sampling method. The inclusion criteria were year one, two and three of nursing students who have clinical posting and voluntarily joining the study. Perceived Stress Scale (PSS) and Brief COPE inventory were utilised in the data collection. Higher mean score indicates higher degree of stress.

Results: Clinical assignments and workload were the main stressor (mean = 3.19, SD = 1.09). Religion approach was the most coping strategy applied (mean = 3.30, SD = 0.71). Pearson's correlation coefficient test found that six domains of stressors during clinical practices (taking care of patients; clinical educators/instructors and ward staff; clinical assignments and workload; peers and nursing students from other college; lack of professional knowledge and skills and clinical environment) were statistically significant correlation with coping strategies, where P-value < 0.05.

METHODS: The study involves conducting a global survey to fitness coaches, sports scientists, analysts, and physicians with experience in load monitoring within football. The research adheres to the principles of the Helsinki Declaration and complies with General Data Protection Regulation standards, with ethical approvals obtained from multiple Ethics Committees across various countries, including Tunisia. A consortium of professionals collaboratively crafted the survey instrument, dividing it into seven sections, each addressing specific aspects of workload monitoring in football. Survey reliability will undergo evaluation in a pilot study utilizing Cronbach's alpha and intraclass correlation coefficient. To ensure inclusivity, the survey will be translated into multiple languages, facilitating participation from diverse regions. As such, survey distribution will consider online platforms (such as social media) and email invitations, with a specific focus on engaging football clubs, federations, and professional networks. The targeted sample size will remain at 385 participants. Statistical analysis planning encompasses descriptive examination, exploration of variable relationships, hypothesis testing, and qualitative analyses of participant feedback and recommendations regarding load monitoring practices.

EXPECTED RESULTS: Expected outcomes include i) A comprehensive global overview of training and match load monitoring practices in football, ii) The identification of emerging trends, an improved understanding of training optimization processes, and iii) The development of practical recommendations to enhance player well-being and performance.