Insights from semi-structured interviews on integrating artificial intelligence in clinical chemistry laboratory practices.

BACKGROUND: Artificial intelligence (AI) is gradually transforming the practises of healthcare providers. Over the last two decades, the advent of AI into numerous aspects of pathology has opened transformative possibilities in how we practise laboratory medicine. Objectives of this study were to explore how AI could impact the clinical practices of professionals working in Clinical Chemistry laboratories, while also identifying effective strategies in medical education to facilitate the required changes. METHODS: From March to August 2022, an exploratory qualitative study was conducted at the Section of Clinical Chemistry, Department of Pathology and Laboratory Medicine, Aga Khan University, Karachi, Pakistan, in collaboration with Keele University, Newcastle, United Kingdom. Semi-structured interviews were conducted to collect information from diverse group of professionals working in Clinical Chemistry laboratories. All interviews were audio recorded and transcribed verbatim. They were asked what changes AI would involve in the laboratory, what resources would be necessary, and how medical education would assist them in adapting to the change. A content analysis was conducted, resulting in the development of codes and themes based on the analyzed data. RESULTS: The interviews were analysed to identify three primary themes: perspectives and considerations for AI adoption, educational and curriculum adjustments, and implementation techniques. Although the use of diagnostic algorithms is currently limited in Pakistani Clinical Chemistry laboratories, the application of AI is expanding. All thirteen participants stated their reasons for being hesitant to use AI. Participants stressed the importance of critical aspects for effective AI deployment, the need of a collaborative integrative approach, and the need for constant horizon scanning to keep up with AI developments. CONCLUSIONS: Three primary themes related to AI adoption were identified: perspectives and considerations, educational and curriculum adjustments, and implementation techniques. The study's findings give a sound foundation for making suggestions to clinical laboratories, scientific bodies, and national and international Clinical Chemistry and laboratory medicine organisations on how to manage pathologists' shifting practises because of AI.

Developing and piloting an online course on osteoporosis using a multidisciplinary multi-institute approach- a cross-sectional qualitative study.

INTRODUCTION: Postgraduate medical trainees (PGs) in developing nations face various educational hurdles due to limited access to quality resources and training facilities. This study aimed to assess the effectiveness of e-learning, particularly Massive Open Online Courses (MOOCs), within postgraduate medical education. It involved the development of a customized online course focused on osteoporosis for PGs and an examination of their perspectives and preferences concerning online learning methods like Virtual Learning Environment (VLE) platforms. METHODS: The study was conducted from January 2018 to December 2020. A multi-institutional, multidisciplinary team was assembled to design an osteoporosis course on the VLE platform. PGs (n = 9) from diverse disciplines and institutions were selected with informed consent. Focus group discussions (FGDs) among these PGs identified their preferences for the online course, which subsequently guided the development of the MOOC. The modular MOOC comprised recorded micro-lectures, flashcards, videos, case challenges, and expert interviews. The educational impact of the VLE was assessed using pre- and post-module tests among the participants, and their perceptions of the PGs and course facilitators were gathered via an online survey. RESULTS: The study identified the involvement of PGs in the course design process as beneficial, as it allowed for content customization and boosted their motivation for peer-to-peer learning. During the FGDs, PGs expressed a strong preference for flexible learning formats, particularly short downloadable presentations, and micro-lectures. They also identified challenges related to technology, institutional support, and internet connectivity. In the subsequently customized MOOC course, 66% of PGs (n = 6) attempted the pre-test, achieving a mean score of 43.8%. Following the VLE module, all PGs (n = 9) successfully passed the end-of-module test, averaging a score of 96%, highlighting its impact on learning. The majority (n = 8, 88.9%) agreed that the course content could be applied in clinical practice, and 66.7% (n = 6) expressed extreme satisfaction with the learning objectives and content. Participants favoured end-of-module assessments and the use of best-choice questions for evaluation. CONCLUSION: This study highlights the importance of virtual learning, particularly MOOCs, in addressing the educational challenges faced by developing nations. It emphasizes the need for tailored online courses that cater to the preferences and requirements of PGs. The findings suggest that MOOCs can foster collaboration, networking, and opportunities for professional development, and interdisciplinary collaboration among faculty members can be a key strength in course development. This research provides valuable insights for educators, institutions, and e-learning developers seeking to enhance their teaching methodologies and establish accessible educational environments in the digital age.

Assessing the knowledge, attitude and practice of osteoporosis among Pakistani women: A national social-media based survey.

BACKGROUND: There are numerous risk factors for osteoporosis and understanding and recognizing these risk factors is critical when deciding whether to take preventive measures. It is critical to reduce the healthcare expenditure burden of the Pakistani population by raising awareness and implementing osteoporosis-preventable measures. This survey aims to assess the knowledge, attitudes, and practices (KAP) of Pakistani women as well as their misconceptions about osteoporosis. METHODS: A cross-sectional survey was conducted from August 2021 to January 2022 by the Bone & Mineral Disease research group at Section of Chemical Pathology, Department of Pathology and Laboratory Medicine, Aga Khan University, Karachi, with exemption from the ethical review committee. Using snowball sampling, a validated Osteoporosis Prevention and Awareness Tool (OPAAT) was disseminated online via social media. With informed consent, 400 Pakistani women aged ≥ 18 years were included in the study. SPSS Statistics version 25.0 was used for data analysis. Chi-square test for association and Fisher-exact test were applied, and significance level was α<0.05. RESULTS: Based on the OPAAT scores of all (n = 400) participants, 22% (n = 88) had low knowledge, 44% (n = 176) had average knowledge, while 34% (n = 136) had good knowledge of osteoporosis. The most common misconceptions were about age-related risk, presentation of symptoms, radiation risk, associated risk factors like tooth loss, osteoarthritis, and knowledge about predictors of bone health. CONCLUSION: Adult Pakistani women have a fair understanding of osteoporosis, but the OPAAT tool clarifies some common misconceptions. There is a need to develop educational strategies to increase the knowledge of osteoporosis among Pakistani adults and to promote a bone-healthy lifestyle.

Factors Associated With Awareness Of Literate Mothers About Newborn Screening: A Cross-Sectional Study From A Low-Middle-Income Country.

Objectives: To explore the awarenesslevel of literate mothersregarding newborn screening programmes, and to evaluate the associated factors. METHODS: The descriptive, cross-sectional study was conducted at the Section of Chemical Pathology, Department of Pathology andLaboratoryMedicine,AgaKhanUniversity,Karachi,fromJanuary toSeptember 2021, andcomprisedmothers aged 18 years or more. Data was collected using a structured questionnaire about newborn screening, and the subjects were compared in terms of age, residential background, education and parity. Data was analysed using SPSS 23. RESULTS: Of the 1016 responses, 896(88.2%) were analysed. The mean age of the sample was 37.7±10.87 years. There were 470(52.4%) mothers aged 31-45 years, 859(95.87%) were from urban areas, 751(84%) had a graduate degree, 652(72.7%) weremultiparous andhad824(91.9%)hadhealthy children.Overall, 386 (43%)mothershadawarenessofnewbornscreening programmes. The main factors associated with awareness were age, education, primiparity, having healthy children, and province ofresidencebeing Sindh andPunjab(p<0.05),while the urban-ruraldividedwas not a significantfactor(p=0.737). Cost of healthcare 417(46.5%) and lack of awareness among physicians 356(39.7%) were identified asthe main challenges in establishing newborn screening servicesin the country. CONCLUSIONS: The awareness among mothers about new born screening programmes was generally low among the subjects studied.

An Urgent Need for Local Guidelines to Address Phosphate Homeostasis in Children with Transfusion-dependent ß-thalassemia Major.

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