Displaying publications 1 - 20 of 36 in total

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  1. 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*
  2. Economics of health informatics in developing countries
    Hébert RJ
    Stud Health Technol Inform, 2011;164:162-7.
    PMID: 21335705
    Health Informatics (HI) has become a world wide issue since 2005 when the WHO Health Metrics Network (HMN) was formed to encourage all of the developing countries (151) to get started in eHealth. Prior to this HMN initiative the only countries with HI in place were the developed countries (40) and a few developing countries (Jamaica, Malaysia, etc.) that were just getting started in HI with a very limited number of applications compared to the developed countries. This paper suggests that much of the experience in HI gained in the developed countries can be shared with the developing countries as 'lessons learnt' - as long as the issue of economics is kept front and foremost in the planning.
    Matched MeSH terms: Medical Informatics/economics*
  3. 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*
  4. 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*
  5. E-health implementation challenges in Iranian medical centers: a qualitative study in Iran
    Sharifi M, Ayat M, Jahanbakhsh M, Tavakoli N, Mokhtari H, Wan Ismail WK
    Telemed J E Health, 2013 Feb;19(2):122-8.
    PMID: 23374035 DOI: 10.1089/tmj.2012.0071
    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*
  6. Fulltext Embedding a learning management system into an undergraduate medical informatics course in Saudi Arabia: lessons learned
    Zakaria N, Jamal A, Bisht S, Koppel C
    Med 2 0, 2013 Nov 27;2(2):e13.
    PMID: 25075236 DOI: 10.2196/med20.2735
    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.
    Matched MeSH terms: Medical Informatics
  7. Classification of antecedents towards safety use of health information technology: A systematic review
    Salahuddin L, Ismail Z
    Int J Med Inform, 2015 Nov;84(11):877-91.
    PMID: 26238706 DOI: 10.1016/j.ijmedinf.2015.07.004
    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.
    Matched MeSH terms: Medical Informatics
  8. Fulltext Evaluation and selection of open-source EMR software packages based on integrated AHP and TOPSIS
    Zaidan AA, Zaidan BB, Al-Haiqi A, Kiah ML, Hussain M, Abdulnabi M
    J Biomed Inform, 2015 Feb;53:390-404.
    PMID: 25483886 DOI: 10.1016/j.jbi.2014.11.012
    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.
    Matched MeSH terms: Medical Informatics/methods*
  9. 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*
  10. 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*
  11. A personalised Healthcare Information Delivery System: pushing customised healthcare information over the WWW
    Abidi SS, Goh A
    Stud Health Technol Inform, 2000;77:663-7.
    PMID: 11187636
    Easier and focused access to healthcare information can empower individuals to make 'informed' choices and judgements about personal health maintenance. To achieve 'optimum' patient empowerment, we need to re-evaluate and potentially re-design the processes of healthcare information delivery. Our suggestion is that healthcare information should be personalised according to each individual's healthcare needs and it should be pro-actively delivered, i.e. pushed towards the individual. We present an intelligent Personalised Healthcare Information Delivery Systems that aims to enhance patient empowerment by pro-actively pushing customised, based on one's Electronic Medical Record, health maintenance information via the WWW.
    Matched MeSH terms: Medical Informatics Computing*
  12. An XML-Java system for HL7-based healthcare informatics
    Goh A, Kum YL, Mak SY, Quek YT
    Stud Health Technol Inform, 2000;77:1051-5.
    PMID: 11187482
    Health-Level (HL) 7 message semantics allows effective functional implementation of Electronic Medical Record (EMR)--encompassing both clinical and administrative (i.e. demographic and financial) information--interchange systems, at the expense of complexity with respect the Protocol Data Unit (PDU) structure and the client-side application architecture. In this paper we feature the usage of the Extensible Markup Language (XML) document-object modelling and Java client-server connectivity towards the implementation of a Web-based system for EMR transaction processing. Our solution features an XML-based description of EMR templates, which are subsequently transcribed into a Hypertext Markup Language (HTML)-Javascript form. This allows client-side user interfaceability and server-side functionality--i.e. message validation, authentication and database connectivity--to be handled through standard Web client-server mechanisms, the primary assumption being availability of a browser capable of XML documents and the associated stylesheets. We assume usage of the Internet as the interchange medium, hence the necessity for authentication and data privacy mechanisms, both of which can be constructed using standard Java-based building blocks.
    Matched MeSH terms: Medical Informatics Computing*
  13. Health information systems adoption: findings from a systematic review
    Yusof MM, Stergioulas L, Zugic J
    Stud Health Technol Inform, 2007;129(Pt 1):262-6.
    PMID: 17911719
    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.
    Matched MeSH terms: Medical Informatics
  14. Fulltext A Fast SVM-Based Tongue's Colour Classification Aided by k-Means Clustering Identifiers and Colour Attributes as Computer-Assisted Tool for Tongue Diagnosis
    Kamarudin ND, Ooi CY, Kawanabe T, Odaguchi H, Kobayashi F
    J Healthc Eng, 2017;2017:7460168.
    PMID: 29065640 DOI: 10.1155/2017/7460168
    In tongue diagnosis, colour information of tongue body has kept valuable information regarding the state of disease and its correlation with the internal organs. Qualitatively, practitioners may have difficulty in their judgement due to the instable lighting condition and naked eye's ability to capture the exact colour distribution on the tongue especially the tongue with multicolour substance. To overcome this ambiguity, this paper presents a two-stage tongue's multicolour classification based on a support vector machine (SVM) whose support vectors are reduced by our proposed k-means clustering identifiers and red colour range for precise tongue colour diagnosis. In the first stage, k-means clustering is used to cluster a tongue image into four clusters of image background (black), deep red region, red/light red region, and transitional region. In the second-stage classification, red/light red tongue images are further classified into red tongue or light red tongue based on the red colour range derived in our work. Overall, true rate classification accuracy of the proposed two-stage classification to diagnose red, light red, and deep red tongue colours is 94%. The number of support vectors in SVM is improved by 41.2%, and the execution time for one image is recorded as 48 seconds.
    Matched MeSH terms: Medical Informatics/instrumentation; Medical Informatics/methods*
  15. An analysis of the healthcare informatics and systems in Southeast Asia: a current perspective from seven countries
    Nguyen QT, Naguib RN, Abd Ghani MK, Bali RK, Lee IM
    Int J Electron Healthc, 2008;4(2):184-207.
    PMID: 18676343
    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*
  16. 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
  17. 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
  18. 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
  19. Fulltext Development of a Search Strategy for an Evidence Based Retrieval Service
    Ho GJ, Liew SM, Ng CJ, Hisham Shunmugam R, Glasziou P
    PLoS One, 2016;11(12):e0167170.
    PMID: 27935993 DOI: 10.1371/journal.pone.0167170
    BACKGROUND: Physicians are often encouraged to locate answers for their clinical queries via an evidence-based literature search approach. The methods used are often not clearly specified. Inappropriate search strategies, time constraint and contradictory information complicate evidence retrieval.

    AIMS: Our study aimed to develop a search strategy to answer clinical queries among physicians in a primary care setting.

    METHODS: Six clinical questions of different medical conditions seen in primary care were formulated. A series of experimental searches to answer each question was conducted on 3 commonly advocated medical databases. We compared search results from a PICO (patients, intervention, comparison, outcome) framework for questions using different combinations of PICO elements. We also compared outcomes from doing searches using text words, Medical Subject Headings (MeSH), or a combination of both. All searches were documented using screenshots and saved search strategies.

    RESULTS: Answers to all 6 questions using the PICO framework were found. A higher number of systematic reviews were obtained using a 2 PICO element search compared to a 4 element search. A more optimal choice of search is a combination of both text words and MeSH terms. Despite searching using the Systematic Review filter, many non-systematic reviews or narrative reviews were found in PubMed. There was poor overlap between outcomes of searches using different databases. The duration of search and screening for the 6 questions ranged from 1 to 4 hours.

    CONCLUSION: This strategy has been shown to be feasible and can provide evidence to doctors' clinical questions. It has the potential to be incorporated into an interventional study to determine the impact of an online evidence retrieval system.

    Matched MeSH terms: Medical Informatics/methods; Medical Informatics/standards; Medical Informatics/statistics & numerical data
  20. Computerized segmentation and measurement of chronic wound images
    Ahmad Fauzi MF, Khansa I, Catignani K, Gordillo G, Sen CK, Gurcan MN
    Comput Biol Med, 2015 May;60:74-85.
    PMID: 25756704 DOI: 10.1016/j.compbiomed.2015.02.015
    An estimated 6.5 million patients in the United States are affected by chronic wounds, with more than US$25 billion and countless hours spent annually for all aspects of chronic wound care. There is a need for an intelligent software tool to analyze wound images, characterize wound tissue composition, measure wound size, and monitor changes in wound in between visits. Performed manually, this process is very time-consuming and subject to intra- and inter-reader variability. In this work, our objective is to develop methods to segment, measure and characterize clinically presented chronic wounds from photographic images. The first step of our method is to generate a Red-Yellow-Black-White (RYKW) probability map, which then guides the segmentation process using either optimal thresholding or region growing. The red, yellow and black probability maps are designed to handle the granulation, slough and eschar tissues, respectively; while the white probability map is to detect the white label card for measurement calibration purposes. The innovative aspects of this work include defining a four-dimensional probability map specific to wound characteristics, a computationally efficient method to segment wound images utilizing the probability map, and auto-calibration of wound measurements using the content of the image. These methods were applied to 80 wound images, captured in a clinical setting at the Ohio State University Comprehensive Wound Center, with the ground truth independently generated by the consensus of at least two clinicians. While the mean inter-reader agreement between the readers varied between 67.4% and 84.3%, the computer achieved an average accuracy of 75.1%.
    Matched MeSH terms: Medical Informatics/methods
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