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Utilization of information technology in medical education: a questionnaire survey of students in a Malaysian institution

Nurjahan MI, Lim TA, Yeong SW, Foong AL, Ware J

Med J Malaysia, 2002 Dec;57 Suppl E:58-66.
PMID: 12733195

OBJECTIVE: The objective of this survey was to obtain a self-reported assessment of the use of Information and Communication Technology (ICT) by medical students at the International Medical University, Malaysia.
MATERIALS AND METHODS: Students' perceived skills and extent of usage of ICT were evaluated using a questionnaire. Chi-square analysis were performed to ascertain the association between variables. Further statistical testing using Chi-square test for trend was done when one of the variables was ordered, and Spearman rank correlation when both variables were ordered.
RESULTS: Overall, (98%) of students responded to the questionnaire. Twenty seven students (5.7%) did not use a computer either in the university or at home. Most students surveyed reported adequate skills at word processing (55%), e-mailing (78%) and surfing the internet (67%).
CONCLUSION: The results suggests that in order to increase the level of computer literacy among medical students, positive steps would need to be taken, for example the formal inclusion of ICT instruction in the teaching of undergraduate medicine. This will enhance medical students' ability to acquire, appraise, and use information in order to solve clinical and other problems quickly and efficiently in the course of their studies, and more importantly when they graduate.

Matched MeSH terms: Medical Informatics/education; Medical Informatics/standards*
Fulltext Translating Evidence Into Practice via Social Media: A Mixed-Methods Study

Maloney S, Tunnecliff J, Morgan P, Gaida JE, Clearihan L, Sadasivan S, et al.

J Med Internet Res, 2015 Oct 26;17(10):e242.
PMID: 26503129 DOI: 10.2196/jmir.4763

BACKGROUND: Approximately 80% of research evidence relevant to clinical practice never reaches the clinicians delivering patient care. A key barrier for the translation of evidence into practice is the limited time and skills clinicians have to find and appraise emerging evidence. Social media may provide a bridge between health researchers and health service providers.
OBJECTIVE: The aim of this study was to determine the efficacy of social media as an educational medium to effectively translate emerging research evidence into clinical practice.
METHODS: The study used a mixed-methods approach. Evidence-based practice points were delivered via social media platforms. The primary outcomes of attitude, knowledge, and behavior change were assessed using a preintervention/postintervention evaluation, with qualitative data gathered to contextualize the findings.
RESULTS: Data were obtained from 317 clinicians from multiple health disciplines, predominantly from the United Kingdom, Australia, the United States, India, and Malaysia. The participants reported an overall improvement in attitudes toward social media for professional development (P

Matched MeSH terms: Medical Informatics
Transforming XML-based electronic patient records for use in medical case based reasoning systems

Abidi SS, Manickam S

Stud Health Technol Inform, 2000;77:709-13.
PMID: 11187645

Electronic patient records (EPR) can be regarded as an implicit source of clinical behaviour and problem-solving knowledge, systematically compiled by clinicians. We present an approach, together with its computational implementation, to pro-actively transform XML-based EPR into specialised Clinical Cases (CC) in the realm of Medical Case Base Systems. The 'correct' transformation of EPR to CC involves structural, terminological and conceptual standardisation, which is achieved by a confluence of techniques and resources, such as XML, UMLS (meta-thesaurus) and medical knowledge ontologies. We present below the functional architecture of a Medical Case-Base Reasoning Info-Structure (MCRIS) that features two distinct, yet related, functionalities: (1) a generic medical case-based reasoning system for decision-support activities; and (2) an EPR-CC transformation system to transform typical EPR's to CC.

Matched MeSH terms: Medical Informatics Computing*
Towards an evaluation framework for information quality management (IQM) practices for health information systems--evaluation criteria for effective IQM practices

Mohammed SA, Yusof MM

J Eval Clin Pract, 2013 Apr;19(2):379-87.
PMID: 22502634 DOI: 10.1111/j.1365-2753.2012.01839.x

Poor information quality (IQ) must be understood as a business problem rather than systems problem. In health care organization, what is required is an effective quality management that continuously manages and reviews the factors influencing IQ in health information systems (HIS) so as to achieve the desired outcomes. Hence, in order to understand the issues of information quality management (IQM) practices in health care organizations, a more holistic evaluation study should be undertaken to investigate the IQM practices in health care organizations. It is the aim of this paper to identify the significant evaluation criteria that influence the production of good IQ in HIS.

Matched MeSH terms: Medical Informatics/standards*
Fulltext The status of Malaysian school children’s visual acuity from year 1990 to 2017

Saidatul Norbaya Buang, Abdul Shukor Salha, Marhaida Mahmood, Noor Haire Sumarlie Nordin

Malaysian Journal of Medicine and Health Sciences, 2019;15(104):100-100.
MyJurnal

Introduction: Refractive error is the most common cause of visual impairment among the school children. The visual acuity screening has long been administered through the school health service in Malaysia. The objective of this study was to examine the status of refractive error in the school health screening from year 1990 to 2017. Methods: Every year an average of 1.2 million students were screened for refractive errors through school health service. Stu-dents with visual acuity reading of 6/9 or worst based on 6-meter Snellen chart ware referred for confirmation of refractive error. Secondary data on school visual acuity screening from the Health Informatics for the period of 1990 to 2017 were used to describe the changing pattern of refractive errors. Results: It was observed that the prevalent of suspected refractive errors amongst the Standard 1 student increased from 7 per 1,000 students examined in 1990 to 44.4 per 1,000 students in the 2000 and further increased to 74 per 1,000 students before slow decline to 55 per 1,000 students from year 2015 to 2017. A higher level of detection was observed for students in standard 6 and form 3 between the period of 1990 to 2009 (78/1,000 and 65/1,000 respectively) and further decline thereafter to lowest level in 2017 (33/1,000 to 21.5/1,000 respectively). Conclusion: The Standard 1 students in the 21st century have higher rate of suspected refractive errors compared to their counterpart that lived in the 20th century. Community awareness program need to be introduce for early detection of visual acuity problem.

Matched MeSH terms: Medical Informatics
The m-Health revolution: Exploring perceived benefits of WhatsApp use in clinical practice

Ganasegeran K, Renganathan P, Rashid A, Al-Dubai SA

Int J Med Inform, 2017 01;97:145-151.
PMID: 27919374 DOI: 10.1016/j.ijmedinf.2016.10.013

BACKGROUND: The dawn of m-Health facilitates new horizons of professional communication through WhatsApp, allowing health professionals to interact fast and efficiently for effective patient management. This preliminary study aimed to investigate perceived benefits, if any, of WhatsApp use across general medical and emergency teams during clinical practice in Malaysia.
METHODS: A cross-sectional study was conducted in a universal sample of 307 health professionals comprising of nurses, medical assistants, medical residents, medical officers and physicians across medical and casualty departments in a Malaysian public hospital. The self-administered questionnaire consisted of items on socio-demographics, WhatsApp usage characteristics and the type of communication events during clinical practice.
RESULTS: The majority of respondents (68.4%) perceived WhatsApp as beneficial during clinical practice. In multivariate analysis, perceived benefits was significantly higher amongst the clinical management group (aOR=2.6, 95% CI 1.5-4.6, p=0.001), those using WhatsApp for >12months (aOR=1.7, 95% CI 1.0-3.0, p=0.047), those receiving response ≤15min to a new communication (aOR=1.9, 95% CI 1.1-3.2, p=0.017), and frequent information giving events (aOR=2.4, 95% CI 1.2-4.8, p=0.016).
CONCLUSION: Perceived benefits of WhatsApp use in clinical practice was significantly associated with usage characteristics and type of communication events. This study lays the foundation for quality improvement innovations in patient management delivered through m-Health technology.

Matched MeSH terms: Medical Informatics*
Synthesis of novel N-(1,3-thiazol-2-yl)benzamide clubbed oxadiazole scaffolds: Urease inhibition, Lipinski rule and molecular docking analyses

Athar Abbasi M, Raza H, Aziz-Ur-Rehman, Zahra Siddiqui S, Adnan Ali Shah S, Hassan M, et al.

Bioorg Chem, 2019 03;83:63-75.
PMID: 30342387 DOI: 10.1016/j.bioorg.2018.10.018

Present work aimed to synthesize some unique bi-heterocyclic benzamides as lead compounds for the in vitro inhibition of urease enzyme, followed by in silico studies. These targeted benzamides were synthesized in good yields through a multi-step protocol and their structures were confirmed by IR, 1H NMR, 13C NMR, EI-MS and elemental analysis. The in vitro screening results showed that most of the ligands exhibited good inhibitory potentials against the urease. Chemo-informatics analysis envisaged that all these compounds obeyed the Lipinski's rule. Molecular docking results showed that 7h exhibited good binding energy value (-8.40 kcal/mol) and was bound within the active region of urease enzyme. From the present investigation, it was inferred that some of these potent urease inhibitors might serve as novel templates in drug designing.

Matched MeSH terms: Informatics
Proposing an ecologically viable and economically sound farming system using a matrix-based geo-informatics approach

Senanayake S, Pradhan B, Huete A, Brennan J

Sci Total Environ, 2021 Nov 10;794:148788.
PMID: 34323751 DOI: 10.1016/j.scitotenv.2021.148788

Healthy farming systems play a vital role in improving agricultural productivity and sustainable food production. The present study aimed to propose an efficient framework to evaluate ecologically viable and economically sound farming systems using a matrix-based analytic hierarchy process (AHP) and weighted linear combination method with geo-informatics tools. The proposed framework has been developed and tested in the Central Highlands of Sri Lanka. Results reveal that more than 50% of farming systems demonstrated moderate status in terms of ecological and economic aspects. However, two vulnerable farming systems on the western slopes of the Central Highlands, named WL1a and WM1a, were identified as very poor status. These farming systems should be a top priority for restoration planning and soil conservation to prevent further deterioration. Findings indicate that a combination of ecologically viable (nine indicators) and economical sound (four indicators) criteria are a practical method to scrutinize farming systems and decision making on soil conservation and sustainable land management. In addition, this research introduces a novel approach to delineate the farming systems based on agro-ecological regions and cropping areas using geo-informatics technology. This framework and methodology can be employed to evaluate the farming systems of other parts of the country and elsewhere to identify ecologically viable and economically sound farming systems concerning soil erosion hazards. The proposed approach addresses a new dimension of the decision-making process by evaluating the farming systems relating to soil erosion hazards and suggests introducing policies on priority-based planning for conservation with low-cost strategies for sustainable land management.

Matched MeSH terms: Informatics
Predictors of Work-Family Role Conflict and Its Impact on Professional Women in Medicine, Engineering, and Information Technology in Nigeria

Uzoigwe AG, Low WY, Noor SN

Asia Pac J Public Health, 2016 Oct;28(7):629-637.
PMID: 27637552 DOI: 10.1177/1010539516667782

This study examines work-family role conflict and the factors predicting it, with a sample of 173 professional women in engineering and information technology (IT) firms, including 2 hospitals-1 public and 1 private. Our findings show no significant difference in the level of work-family role conflict encountered by women across medicine, engineering, and IT, whereas hours of work, family responsibilities, job demand, and work role overload were significantly correlated with work-family role conflict. Multiple linear regression analysis indicates that only work role overload, family responsibilities, and hours of work significantly predicted 45.9% of work-family role conflict. This implies that working women are burdened by work demands, which invariably affects the work-family role conflict they experience and leads to deterioration of their occupational health. It is suggested that employers should create a flexible work schedule and establish family-friendly policies in the workplace to promote a healthy work-life balance for women in science careers.

Matched MeSH terms: Informatics
Fulltext Perceived skill and utilisation of information technology in medical education among final year medical students, Universiti Putra Malaysia

Lim TA, Wong WH, Lim KY

Med J Malaysia, 2005 Oct;60(4):432-40.
PMID: 16570704

The objective of this survey was to obtain a self-reported assessment of the use of information technology (IT) by final year medical students. Two hundred and sixty five students responded to a questionnaire survey. 81.5% of students considered their computer skills adequate, while 87.9% had access to computers outside the campus. Most students reported adequate skills at word processing, e-mailing and surfing the Internet. Fifty three percent of students spent three hours or more each week on the computer. While students indicated a general willingness to access Internet-based materials, further steps need to be taken to increase the use of this method of instruction.

Matched MeSH terms: Medical Informatics/education*
Fulltext Medical informatics for medical students and medical practitioners

Mohan, Jai

International e-Journal of Science, Medicine & Education, 2010;4(1):-.
MyJurnal

The importance of incorporating medical (or health) informatics into the education of medical students and medical practitioners is being increasingly recognised. The advances in information and communication technology and the pervasion of the Internet into everyday life have important implications for healthcare services and medical education. Students and practitioners should learn to utilise biomedical information for problem solving and decision making based on evidence. The extensive introduction of electronic health information systems into hospitals and clinics and at the enterprise level in Malaysia and elsewhere is driving a demand for health professionals who have at least basic skills in and appreciation of the use of these technologies. The essential clinical informatics skills have been identified and should be incorporated into the undergraduate medical curriculum. It is recommended that these be introduced in stages and integrated into existing programmes rather than taught as a separate module. At the same time, medical schools should support the integration of e-learning in the educational process in view of the numerous potential benefits.

Matched MeSH terms: Medical Informatics
Fulltext Mathematical epidemiologic and simulation modelling of first wave COVID-19 in Malaysia

Ariffin MRK, Gopal K, Krishnarajah I, Che Ilias IS, Adam MB, Arasan J, et al.

Sci Rep, 2021 Oct 20;11(1):20739.
PMID: 34671103 DOI: 10.1038/s41598-021-99541-0

Since the first coronavirus disease 2019 (COVID-19) outbreak appeared in Wuhan, mainland China on December 31, 2019, the geographical spread of the epidemic was swift. Malaysia is one of the countries that were hit substantially by the outbreak, particularly in the second wave. This study aims to simulate the infectious trend and trajectory of COVID-19 to understand the severity of the disease and determine the approximate number of days required for the trend to decline. The number of confirmed positive infectious cases [as reported by Ministry of Health, Malaysia (MOH)] were used from January 25, 2020 to March 31, 2020. This study simulated the infectious count for the same duration to assess the predictive capability of the Susceptible-Infectious-Recovered (SIR) model. The same model was used to project the simulation trajectory of confirmed positive infectious cases for 80 days from the beginning of the outbreak and extended the trajectory for another 30 days to obtain an overall picture of the severity of the disease in Malaysia. The transmission rate, β also been utilized to predict the cumulative number of infectious individuals. Using the SIR model, the simulated infectious cases count obtained was not far from the actual count. The simulated trend was able to mimic the actual count and capture the actual spikes approximately. The infectious trajectory simulation for 80 days and the extended trajectory for 110 days depicts that the inclining trend has peaked and ended and will decline towards late April 2020. Furthermore, the predicted cumulative number of infectious individuals tallies with the preparations undertaken by the MOH. The simulation indicates the severity of COVID-19 disease in Malaysia, suggesting a peak of infectiousness in mid-March 2020 and a probable decline in late April 2020. Overall, the study findings indicate that outbreak control measures such as the Movement Control Order (MCO), social distancing and increased hygienic awareness is needed to control the transmission of the outbreak in Malaysia.

Matched MeSH terms: Public Health Informatics/methods*
Leveraging intelligent agents for knowledge discovery from heterogeneous healthcare data repositories

Zaidi SZ, Abidi SS, Manickam S

Stud Health Technol Inform, 2002;90:335-40.
PMID: 15460713

This paper presents a case for an intelligent agent based framework for knowledge discovery in a distributed healthcare environment comprising multiple heterogeneous healthcare data repositories. Data-mediated knowledge discovery, especially from multiple heterogeneous data resources, is a tedious process and imposes significant operational constraints on end-users. We demonstrate that autonomous, reactive and proactive intelligent agents provide an opportunity to generate end-user oriented, packaged, value-added decision-support/strategic planning services for healthcare professionals, manages and policy makers, without the need for a priori technical knowledge. Since effective healthcare is grounded in good communication, experience sharing, continuous learning and proactive actions, we use intelligent agents to implement an Agent based Data Mining Infostructure that provides a suite of healthcare-oriented decision-support/strategic planning services.

Matched MeSH terms: Medical Informatics*
Introducing SNOMED CT to cardiology, from Malaysia

Sulaiman IM, Sheikh Ahmad MK, Bouzekri K, Ismail D

Eur Heart J, 2015 Jul 7;36(26):1636-9.
PMID: 26366446
Matched MeSH terms: Medical Informatics
Intelligent healthcare information assistant: towards agent-based healthcare knowledge management

Hashmi ZI, Abidi SS, Cheah YN

Stud Health Technol Inform, 2002;90:601-5.
PMID: 15460764

Initiatives in healthcare knowledge management have provided some interesting solutions for the implementation of large-scale information repositories vis-à-vis the implementation of Healthcare Enterprise Memories (HEM). In this paper, we present an agent-based Intelligent Healthcare Information Assistant (IHIA) for dynamic information gathering, filtering and adaptation from a HEM comprising an amalgamation of (i) databases storing empirical knowledge, (ii) case-bases storing experiential knowledge, (iii) scenario-bases storing tacit knowledge and (iv) document-bases storing explicit knowledge. The featured work leverages intelligent agents and medical ontologies for autonomous HEM-wide navigation, approximate content matching, inter- and intra-repositories content correlation and information adaptation to meet the user's information request. We anticipate that the use of IHIA will empower healthcare stakeholders to actively communicate with an 'information/knowledge-rich' HEM and will be able to retrieve with ease 'useful' task-specific information via the presentation of cognitively intuitive queries.

Matched MeSH terms: Medical Informatics*
Fulltext Information technology for patient safety

Huckvale C, Car J, Akiyama M, Jaafar S, Khoja T, Bin Khalid A, et al.

Qual Saf Health Care, 2010 Aug;19 Suppl 2:i25-33.
PMID: 20693213 DOI: 10.1136/qshc.2009.038497

BACKGROUND: Research on patient care has identified substantial variations in the quality and safety of healthcare and the considerable risks of iatrogenic harm as significant issues. These failings contribute to the high rates of potentially avoidable morbidity and mortality and to the rising levels of healthcare expenditure seen in many health systems. There have been substantial developments in information technology in recent decades and there is now real potential to apply these technological developments to improve the provision of healthcare universally. Of particular international interest is the use of eHealth applications. There is, however, a large gap between the theoretical and empirically demonstrated benefits of eHealth applications. While these applications typically have the technical capability to help professionals in the delivery of healthcare, inadequate attention to the socio-technical dimensions of their use can result in new avoidable risks to patients.
RESULTS AND DISCUSSION: Given the current lack of evidence on quality and safety improvements and on the cost-benefits associated with the introduction of eHealth applications, there should be a focus on implementing more mature technologies; it is also important that eHealth applications should be evaluated against a comprehensive and rigorous set of measures, ideally at all stages of their application life cycle.

Matched MeSH terms: Medical Informatics/standards*
Informatics and Computational Approaches for the Discovery and Optimization of Natural Product-Inspired Inhibitors of the SARS-CoV-2 2'-O-Methyltransferase

Hanna GS, Benjamin MM, Choo YM, De R, Schinazi RF, Nielson SE, et al.

J Nat Prod, 2024 Feb 23;87(2):217-227.
PMID: 38242544 DOI: 10.1021/acs.jnatprod.3c00875

The urgent need for new classes of orally available, safe, and effective antivirals─covering a breadth of emerging viruses─is evidenced by the loss of life and economic challenges created by the HIV-1 and SARS-CoV-2 pandemics. As frontline interventions, small-molecule antivirals can be deployed prophylactically or postinfection to control the initial spread of outbreaks by reducing transmissibility and symptom severity. Natural products have an impressive track record of success as prototypic antivirals and continue to provide new drugs through synthesis, medicinal chemistry, and optimization decades after discovery. Here, we demonstrate an approach using computational analysis typically used for rational drug design to identify and develop natural product-inspired antivirals. This was done with the goal of identifying natural product prototypes to aid the effort of progressing toward safe, effective, and affordable broad-spectrum inhibitors of Betacoronavirus replication by targeting the highly conserved RNA 2'-O-methyltransferase (2'-O-MTase). Machaeriols RS-1 (7) and RS-2 (8) were identified using a previously outlined informatics approach to first screen for natural product prototypes, followed by in silico-guided synthesis. Both molecules are based on a rare natural product group. The machaeriols (3-6), isolated from the genus Machaerium, endemic to Amazonia, inhibited the SARS-CoV-2 2'-O-MTase more potently than the positive control, Sinefungin (2), and in silico modeling suggests distinct molecular interactions. This report highlights the potential of computationally driven screening to leverage natural product libraries and improve the efficiency of isolation or synthetic analog development.

Matched MeSH terms: Informatics
Improved biliary detection and diagnosis through intelligent machine analysis

Logeswaran R

Comput Methods Programs Biomed, 2012 Sep;107(3):404-12.
PMID: 21194781 DOI: 10.1016/j.cmpb.2010.12.002

This paper reports on work undertaken to improve automated detection of bile ducts in magnetic resonance cholangiopancreatography (MRCP) images, with the objective of conducting preliminary classification of the images for diagnosis. The proposed I-BDeDIMA (Improved Biliary Detection and Diagnosis through Intelligent Machine Analysis) scheme is a multi-stage framework consisting of successive phases of image normalization, denoising, structure identification, object labeling, feature selection and disease classification. A combination of multiresolution wavelet, dynamic intensity thresholding, segment-based region growing, region elimination, statistical analysis and neural networks, is used in this framework to achieve good structure detection and preliminary diagnosis. Tests conducted on over 200 clinical images with known diagnosis have shown promising results of over 90% accuracy. The scheme outperforms related work in the literature, making it a viable framework for computer-aided diagnosis of biliary diseases.

Matched MeSH terms: Medical Informatics/methods
Fulltext ICDTag: a prototype for a web-based system for organizing physician-written blog posts using a hybrid taxonomy-folksonomy approach

Batch Y, Yusof MM, Noah SA

J Med Internet Res, 2013;15(2):e41.
PMID: 23470419 DOI: 10.2196/jmir.2353

Medical blogs have emerged as new media, extending to a wider range of medical audiences, including health professionals and patients to share health-related information. However, extraction of quality health-related information from medical blogs is challenging primarily because these blogs lack systematic methods to organize their posts. Medical blogs can be categorized according to their author into (1) physician-written blogs, (2) nurse-written blogs, and (3) patient-written blogs. This study focuses on how to organize physician-written blog posts that discuss disease-related issues and how to extract quality information from these posts.

Matched MeSH terms: Medical Informatics Applications
Hidden Concepts in the History and Philosophy of Origins-of-Life Studies: a Workshop Report

Mariscal C, Barahona A, Aubert-Kato N, Aydinoglu AU, Bartlett S, Cárdenas ML, et al.

Orig Life Evol Biosph, 2019 Sep;49(3):111-145.
PMID: 31399826 DOI: 10.1007/s11084-019-09580-x

In this review, we describe some of the central philosophical issues facing origins-of-life research and provide a targeted history of the developments that have led to the multidisciplinary field of origins-of-life studies. We outline these issues and developments to guide researchers and students from all fields. With respect to philosophy, we provide brief summaries of debates with respect to (1) definitions (or theories) of life, what life is and how research should be conducted in the absence of an accepted theory of life, (2) the distinctions between synthetic, historical, and universal projects in origins-of-life studies, issues with strategies for inferring the origins of life, such as (3) the nature of the first living entities (the "bottom up" approach) and (4) how to infer the nature of the last universal common ancestor (the "top down" approach), and (5) the status of origins of life as a science. Each of these debates influences the others. Although there are clusters of researchers that agree on some answers to these issues, each of these debates is still open. With respect to history, we outline several independent paths that have led to some of the approaches now prevalent in origins-of-life studies. These include one path from early views of life through the scientific revolutions brought about by Linnaeus (von Linn.), Wöhler, Miller, and others. In this approach, new theories, tools, and evidence guide new thoughts about the nature of life and its origin. We also describe another family of paths motivated by a" circularity" approach to life, which is guided by such thinkers as Maturana & Varela, Gánti, Rosen, and others. These views echo ideas developed by Kant and Aristotle, though they do so using modern science in ways that produce exciting avenues of investigation. By exploring the history of these ideas, we can see how many of the issues that currently interest us have been guided by the contexts in which the ideas were developed. The disciplinary backgrounds of each of these scholars has influenced the questions they sought to answer, the experiments they envisioned, and the kinds of data they collected. We conclude by encouraging scientists and scholars in the humanities and social sciences to explore ways in which they can interact to provide a deeper understanding of the conceptual assumptions, structure, and history of origins-of-life research. This may be useful to help frame future research agendas and bring awareness to the multifaceted issues facing this challenging scientific question.

Matched MeSH terms: Informatics/history*

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