LOOOP is well accepted among students and teachers, has positive effect on curriculum development, facilitates effective utilisation of educational resources and improves student's outcomes. Currently, LOOOP is used in five undergraduate medical curricula including 85,000 mapped learning opportunities (lectures, seminars), 5000 registered users (students, teachers) and 380,000 yearly page-visits.

Access to patients is a crucial factor for student-centred medical education. However, increasing numbers of students, teacher shortage, a patient spectrum consisting of rarer diseases, and quicker discharges limit this necessary access, and therefore pose a challenge for curriculum designers. The herein presented algorithm improves access to patients in four steps by using routinely available electronic patient data already during curriculum development. Step I: Learning objectives are mapped to appropriate ICD-10 (International Statistical Classification of Diseases) codes. Step II: It is determined which learning opportunities need to be considered first for patient allocation in order to maximise overall benefit. Step III: Hospital's departments with the highest expertise on respective learning objectives are assessed and selected for teaching. Step IV: Patients of the chosen department that present the best match for a given learning opportunity are assigned to participation. This integrated analysis of learning objectives and existing clinical data during curriculum development is a well-structured method to maximise access to patients. Furthermore, this algorithm identifies learning objectives of a curriculum that do not correspond well to the spectrum of patients of the respective teaching hospital and which should therefore be taught in learning formats without patient contact.

Cardiovascular disease especially ST segment elevation (STEMI) is still a major health problem with high morbidity and mortality rates. Although recent advances in the treatment of STEMI patients have yielded better results, the need for intensive care of patients with a prolonged length of stay (LOS) can increase the burden of health care costs. An understanding of the description of LOS in STEMI patients and the factors that influence it as an effort to improve the quality of care and shorten LOS. To describe length of stay (LOS) in acute myocardial infarction patients with STEMI after treatment percutaneous coronary intervention.This study used narrative review design. The databases used were Pubmed, Ebscohost, Scopus, Taylor and Francis, and Google Scholar. The strategy for searching articles using the PCC framework with the keywords namely “Adults”, “Length of Stay”, “Percutaneous Coronary Intervention” and “Myocardial Infarction”. The results showed that 20 articles were analyzed and most of the articles said that the shortest LOS in STEMI patients after PCI was only 5.9 hours, while the longest LOS was 14 days. Most of the articles said that the LOS in STEMI patients after PCI was prolonged. Many factors affect the duration of LOS in STEMI patients, namely age, gender, complications (bleeding), history of comorbidities (diabetes mellitus, hypertension, and kidney failure), and disease severity are the predictors most experienced by STEMI patients. Keywords: Length of Stay, Myocardial Infarct, STEMI  ABSTRAK Penyakit kardiovaskular khususnya STEMI masih menjadi permasalahan kesehatan utama dengan tingkat morbiditas dan mortalitas yang tinggi. Meskipun kemajuan terbaru dalam penanganan STEMI telah memberikan hasil yang lebih baik, kebutuhan perawatan intensif pasien dengan durasi length of stay (LOS) yang memanjang dapat meningkatan beban biaya perawatan kesehatan. Pemahaman mengenai gambaran LOS pasien STEMI serta faktor yang mempengaruhinya penting diketahui sebagai upaya untuk meningkatkan kualitas perawatan dan mempersingkat LOS. Untuk mendeskripsikan LOS atau lama rawat Pasien Infark miokard dengan STEMI setelah percutaneous coronary intervention. Penelitian ini menggunakan desain narrative review. Basis data yang digunakan meliputi Pubmed, EBSCO-host, Scopus, Taylor and Francis, dan Google Scholar. Strategi pencarian artikel menggunakan kerangka kerja PCC dengan kata kunci “Adults”, “Length of Stay”, “Percutaneous Coronary Intervention” and “Myocardial Infarction”.  Hasil penelitian menunjukkan, dari 20 artikel yang dianalisis, sebagian besar artikel menyebutkan bahwa LOS terpendek pada pasien STEMI pasca PCI hanya 5,9 jam, sedangkan LOS terlama adalah 14 hari. Sebagian besar artikel mengatakan LOS pada pasien STEMI setelah PCI memanjang. Banyak faktor yang mempengaruhi lama LOS pada pasien STEMI yaitu usia, jenis kelamin, komplikasi (perdarahan), riwayat penyakit penyerta (diabetes melitus, hipertensi, dan gagal ginjal), dan tingkat keparahan penyakit merupakan prediktor yang paling banyak dialami oleh pasien STEMI. Kata Kunci: Lama Rawat, Infark Miokardial, STEMI

Background Infection Prevention and Control Linked Nurses (IPCLN) are the spearhead of implementing the Infection Control Prevention Program. The performance of nurses in preventing and controlling infections during the Covid-19 pandemic greatly influenced the quality of services. Objective This study aimed to determine the factors that influence the performance of IPCLN during the Covid-19 pandemic. Methods Cross-sectional study was performed on 34 nurses at Cicendo Eye Hospital with a total sampling technique. The questionnaire in this study included knowledge, motivation, supervision, and the performance of nurses which had previously been tested with these characteristics with a result of Cronbach's alpha of 0.75. Data were analyzed using univariate, bivariate, and multivariate analyses. Results The mean score of IPCLN knowledge in this study was 14.82 ± 4.01, motivation 92.47 ± 15.85, supervision 34.74 ± 5.89, and performance 7.94 ± 2.71. There is a relationship between knowledge ( p = .000), motivation ( p = .000), and supervision ( p = .000) on nurse performance. Motivation is the dominant factor influencing IPCLN performance compared to knowledge and supervision (Stand. Estimate = 0.5121; 95% CI = 0.1301–0.487; p < .001). Conclusion Motivation is a dominant factor in IPCLN performance in this study. However, hospital management needs to maximize and make policies to improve IPCLN performance in terms of motivation. These policies can be through providing incentives for nurses, developing free continuing education programs, and issuing funds for nursing education scholarships.