Public universities in Saudi Arabia today are making substantial investments in e-learning as part of their educational system, especially in the implementation of learning management systems (LMS). To our knowledge, this is the first study conducted in Saudi Arabia exploring medical students' experience with an LMS, particularly as part of a medical informatics course.
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.
Evaluating and selecting software packages that meet the requirements of an organization are difficult aspects of software engineering process. Selecting the wrong open-source EMR software package can be costly and may adversely affect business processes and functioning of the organization. This study aims to evaluate and select open-source EMR software packages based on multi-criteria decision-making. A hands-on study was performed and a set of open-source EMR software packages were implemented locally on separate virtual machines to examine the systems more closely. Several measures as evaluation basis were specified, and the systems were selected based a set of metric outcomes using Integrated Analytic Hierarchy Process (AHP) and TOPSIS. The experimental results showed that GNUmed and OpenEMR software can provide better basis on ranking score records than other open-source EMR software packages.
Earlier evaluation studies on Health Information Systems (HIS) adoption have highlighted a large number of adoption problems that were attributed to the lack of fit between technology, human and organisation factors. Lessons can be learned from these evaluation studies by identifying the most important factors of HIS adoption. In order to study the adoption issue, a qualitative systematic review has been performed using a recently introduced framework, known as HOT-fit (Human, Organisation and Technology fit). The paper identifies and highlights the following critical adoption factors: technology (ease of use, system usefulness, system flexibility, time efficiency, information accessibility and relevancy); human (user training, user perception, user roles, user skills, clarity of system purpose, user involvement); organisation (leadership and support, clinical process, user involvement, internal communication, inter organisational system, as well as the fit between them. The findings can be used to guide future system development and inform relevant decision making.
The continuing rise in tuberculosis incidence and the problem of drug resistance strains have prompted the research on new drug candidates and the mechanism of drug resistance. Molecular docking and molecular dynamics simulation (MD) were performed to study the binding of isoniazid onto the active site of Mycobacterium tuberculosis enoyl-acyl carrier protein reductase (InhA) in an attempt to address the mycobacterial resistance against isoniazid. Results show that isonicotinic acyl-NADH (INADH) has an extremely high binding affinity toward the wild type InhA by forming stronger interactions compared to the parent drug (isoniazid) (INH). Due to the increase of hydrophobicity and reduction in the side chain's volume of A94 of mutant type InhA, both INADH and the mutated protein become more mobile. Due to this reason, the molecular interactions of INADH with mutant type are weaker than that observed with the wild type. However, the reduced interaction caused by the fluctuation of INADH and the mutant protein only inflected minor resistance in the mutant strain as inferred from free energy calculation. MD results also showed there exists a water-mediated hydrogen bond between INADH and InhA. However, the bridged water molecule is only present in the INADH-wild type complex, reflecting the putative role of the water molecule in the binding of INADH to the wild type protein. The results support the assumption that the conversion of prodrug isoniazid into its active form INADH is mediated by KatG as a necessary step prior to target binding on InhA. Our findings also contribute to a better understanding of INH resistance in mutant type.
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.
E-health encompasses a wide scope and has excellent potential to grow in the future. Growing numbers of experts believe that e-health will fuel the next breakthroughs in health system improvements throughout the world. There is frequent evidence that largely indicates failures or unsustainable e-health implementations in different countries for different reasons. Iran is also a developing country that is presently applying this promising technology for its traditional healthcare delivery.
Matched MeSH terms: Medical Informatics Applications*
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.
This paper provides a systematic review of safety use of health information technology (IT). The first objective is to identify the antecedents towards safety use of health IT by conducting systematic literature review (SLR). The second objective is to classify the identified antecedents based on the work system in Systems Engineering Initiative for Patient Safety (SEIPS) model and an extension of DeLone and McLean (D&M) information system (IS) success model.
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.
The goal of consensus clustering methods is to find a consensus partition that optimally summarizes an ensemble and improves the quality of clustering compared with single clustering algorithms. In this paper, an enhanced voting-based consensus method was introduced and compared with other consensus clustering methods, including co-association-based, graph-based, and voting-based consensus methods. The MDDR and MUV data sets were used for the experiments and were represented by three 2D fingerprints: ALOGP, ECFP_4, and ECFC_4. The results were evaluated based on the ability of the clustering method to separate active from inactive molecules in each cluster using four criteria: F-measure, Quality Partition Index (QPI), Rand Index (RI), and Fowlkes-Mallows Index (FMI). The experiments suggest that the consensus methods can deliver significant improvements for the effectiveness of chemical structures clustering.
The 2010 annual conference of the Asia Pacific Bioinformatics Network (APBioNet), Asia's oldest bioinformatics organisation formed in 1998, was organized as the 9th International Conference on Bioinformatics (InCoB), Sept. 26-28, 2010 in Tokyo, Japan. Initially, APBioNet created InCoB as forum to foster bioinformatics in the Asia Pacific region. Given the growing importance of interdisciplinary research, InCoB2010 included topics targeting scientists in the fields of genomic medicine, immunology and chemoinformatics, supporting translational research. Peer-reviewed manuscripts that were accepted for publication in this supplement, represent key areas of research interests that have emerged in our region. We also highlight some of the current challenges bioinformatics is facing in the Asia Pacific region and conclude our report with the announcement of APBioNet's 100 BioDatabases (BioDB100) initiative. BioDB100 will comply with the database criteria set out earlier in our proposal for Minimum Information about a Bioinformatics and Investigation (MIABi), setting the standards for biocuration and bioinformatics research, on which we will report at the next InCoB, Nov. 27 - Dec. 2, 2011 at Kuala Lumpur, Malaysia.
This paper shall first investigate the informatics areas and applications of the four Traditional Medicine systems - Traditional Chinese Medicine (TCM), Ayurveda, Traditional Arabic and Islamic Medicine and Traditional Malay Medicine. Then, this paper shall examine the national informatics infrastructure initiatives in the four respective countries that support the Traditional Medicine systems. Challenges of implementing informatics in Traditional Medicine Systems shall also be discussed.
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*
This paper presents an overview of the healthcare systems in Southeast Asia, with a focus on the healthcare informatics development and deployment in seven countries, namely, Singapore, Cambodia, Malaysia, Thailand, Laos, the Philippines and Vietnam. Brief geographic and demographic information is provided for each country, followed by a historical review of the national strategies for healthcare informatics development. An analysis of the state-of-the-art healthcare infrastructure is also given, along with a critical appraisal of national healthcare provisions.
Matched MeSH terms: Medical Informatics/methods; Medical Informatics/organization & administration*
Text categorization has been used extensively in recent years to classify plain-text clinical reports. This study employs text categorization techniques for the classification of open narrative forensic autopsy reports. One of the key steps in text classification is document representation. In document representation, a clinical report is transformed into a format that is suitable for classification. The traditional document representation technique for text categorization is the bag-of-words (BoW) technique. In this study, the traditional BoW technique is ineffective in classifying forensic autopsy reports because it merely extracts frequent but discriminative features from clinical reports. Moreover, this technique fails to capture word inversion, as well as word-level synonymy and polysemy, when classifying autopsy reports. Hence, the BoW technique suffers from low accuracy and low robustness unless it is improved with contextual and application-specific information. To overcome the aforementioned limitations of the BoW technique, this research aims to develop an effective conceptual graph-based document representation (CGDR) technique to classify 1500 forensic autopsy reports from four (4) manners of death (MoD) and sixteen (16) causes of death (CoD). Term-based and Systematized Nomenclature of Medicine-Clinical Terms (SNOMED CT) based conceptual features were extracted and represented through graphs. These features were then used to train a two-level text classifier. The first level classifier was responsible for predicting MoD. In addition, the second level classifier was responsible for predicting CoD using the proposed conceptual graph-based document representation technique. To demonstrate the significance of the proposed technique, its results were compared with those of six (6) state-of-the-art document representation techniques. Lastly, this study compared the effects of one-level classification and two-level classification on the experimental results. The experimental results indicated that the CGDR technique achieved 12% to 15% improvement in accuracy compared with fully automated document representation baseline techniques. Moreover, two-level classification obtained better results compared with one-level classification. The promising results of the proposed conceptual graph-based document representation technique suggest that pathologists can adopt the proposed system as their basis for second opinion, thereby supporting them in effectively determining CoD.
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.
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*