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Objective: This study aimed to reduce the number of patients discharged without scheduled follow-up appointments by implementing lean management principles., Methods: Conducted at the Sultan Qaboos Comprehensive Cancer Center in Muscat, Oman, the research utilized a one-group pretest-posttest quasi-experimental design to evaluate the impact of lean management interventions on the rate of patient discharges without follow-up appointments. Strategies such as the Kaizen principle, Gemba Walks, cross-functional collaboration, standard work procedures, and waste reduction were employed to enhance operational efficiency., Results: Spanning from Quarter 3 of 2022 to Quarter 2 of 2023, the study demonstrated a significant decrease in the percentage of patients discharged without planned follow-up appointments. The rate dropped from 9% in September 2022 to 0% in March 2023, with statistically significant differences observed (X2= 65.05, p value=<.0001)., Conclusion: By effectively implementing lean management principles, this research successfully enhanced care continuity for oncology patients after being discharged.

Objective: This project aimed to mitigate the risk of falls among oncology patients using Failure Modes and Effects Analysis (FMEA) in the outpatient setting., , , , Methods: The project was conducted within outpatient settings, specifically encompassing outpatient clinics, daycare, radiology and radiotherapy, and rehabilitation at the SQCCCRC. The project employed an observational analytical design to assess the fall risk assessment procedure in outpatient settings. The project integrated a 7-step procedure for conducting an FMEA methodology, including defining the system or process, identifying potential failure mode, evaluating the effects of each failure mode, Assigning severity, likelihood, and detection of occurrence ratings, and identifying and implement corrective actions. In addition, Risk Priority Numbers (RPNs) were used to identify the impact of the interventions in reducing the risk of patient fall assessment and management., , , , Result: In the patient fall screening process, interventions yielded substantial reductions in RPNs for failure modes like "Wrong assessment" (57% decrease) and "Complex risk assessment scale" (63% decrease), addressing knowledge gaps and simplifying risk assessment. Similarly, the "Missed fall assessment" failure mode saw an impressive 80% reduction in RPN, rectifying unclear processes and knowledge gaps. In the Fall risk precaution measures process, interventions led to noteworthy RPN reductions, such as 80% for "Unclear fall precaution measures-responsibilities" and 57% for "Missed bracelets for high risk," demonstrating successful risk mitigation. Moreover, interventions in the Patient Education process achieved significant RPN reductions (57% and 55%) for "No/improper education" and "Unuse of educational material and resources," enhancing staff education and patient awareness. The total reduction in RPNs was 62% in all failure modes in the fall assessment and management process. , , , , Conclusion: Overall, FMEA is a valuable strategy for reducing fall risks among oncology patients, but its success depends on addressing these limitations and ensuring the thorough execution and maintenance of the identified corrective actions.

Background Artificial intelligence (AI) is increasingly used in healthcare, but more data are needed about the knowledge, perceptions, attitudes, and preparedness of medical students in Oman towards this technology. This study aimed to investigate these aspects among clinical-year medical students at Sultan Qaboos University. Methodology A web-based validated exploratory questionnaire adapted from a study conducted at the University of Toronto was distributed to all clinical year (phase III) medical students at Sultan Qaboos University. The questionnaire collected demographic and background information, tested students' knowledge of AI, and assessed their perceptions and attitudes toward it. The data were analyzed using the Statistical Package for Social Sciences (SPSS, IBM Corp., Armonk, NY). Results A total of 221 out of 368 clinical-year medical students (60%) completed the survey. Most respondents were in their junior clerkship year (n = 94, 42.5%). Most students (n = 167, 75.4%) had no prior exposure to AI in healthcare, with a median knowledge score of 3.25 out of 5 in AI, and showed no improvement over the years. However, they overall had positive perceptions and attitudes towards AI. Students also had concerns about the impact of AI on employment prospects and ethical issues but were generally receptive to incorporating AI into medical school curricula, as 174 students (78.7%) believed every medical trainee should receive training on AI competencies. Conclusion This study provides valuable insights into the knowledge, perceptions, attitudes, and preparedness of medical students in Oman toward AI in healthcare. Medical educators in Oman should consider incorporating AI into medical school curricula to prepare future physicians for using this technology in healthcare., Competing Interests: The authors have declared that no competing interests exist., (Copyright © 2023, Al Hadithy et al.)

Background: Peripartum cardiomyopathy (PPCM) is an idiopathic life-threatening condition occurring towards the end of pregnancy or in the first few months following delivery that might affect the maternal and neonatal outcomes., Objectives: To assess the incidence and to evaluate the antenatal risk factors and the maternal and neonatal outcomes in Omani women diagnosed with PPCM., Methods: A retrospective cohort study was conducted at two tertiary institutions in Oman between the 1 st of January 2010 to the 31 st of December 2018. All cases fitting the standard definition of PPCM were included in the analysis. Patients with pre-existing dilated cardiomyopathy, chronic obstructive pulmonary disease and significant valvular heart disease have been excluded., Results: A total of 113,104 deliveries were screened during the study period. PPCM was confirmed in 116 cases with an incidence of 1.02 per 1000 deliveries. Independent predictors for the development of PPCM were age; especially women at the mid reproductive age (26-35 years), singleton pregnancy and gestational hypertension. In general, maternal outcomes were favorable, with full recovery of left ventricular ejection fraction in 56.0%, recurrence of 9.2%, and an overall mortality rate of 3.4%. The most common maternal complication was pulmonary edema (16.3%). The neonatal mortality rate was 4.3% and the preterm birth rate was 35.7%. Neonatal outcomes included 94.3% live births, out of which 64.3% were term with Apgar scores of more than 7 at five minutes in 91.5% of the neonates., Conclusion: Our study resulted in an overall incidence of PCCM in Oman of 1.02 in 1000 deliveries. Given the significance of maternal and neonatal complications, establishing a national PPCM database and local practice guidelines, and emphasizing their implementations in all regional hospitals, are fundamental for early recognition of the disease, timely referral, and application of therapy. Future studies, with a clearly defined control group, are highly recommended to appraise the significance of antenatal comorbidities in PPCM compared to non-PPCM cases., Competing Interests: The authors have no competing interests to declare., (Copyright: © 2023 The Author(s).)