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The Future Hospital: A Business Architecture View

Mokhtar AM

Malays J Med Sci, 2017 Oct;24(5):1-6.
PMID: 29386967 DOI: 10.21315/mjms2017.24.5.1

The future hospital is a resilient, physical learning facility featuring digital enhancement and leveraging an ecosystem of platforms for the Internet of Things (IoT) and analytics, achieving patient-centric care delivery via multidisciplinary healthcare provider teams coordinated to meet patients' medical, psychological, social and economic needs. It exists in a just ecosystem that assimilates the care spectrum from healthy living, the prevention of disease to acute care and the rehabilitation of patients recuperating from illnesses. It will take some time for these future hospitals to be built or for current hospitals to evolve and/or transform, but efforts to spread wisdom among the stakeholders, healthcare providers and patients must start now. The development of the digital components can also begin today, as can competency building for the healthcare providers who will be staffing these future hospitals, ensuring that they are equipped with competent staff employing patient-centric care processes that cater to patients' current and future needs.

Matched MeSH terms: Internet
Fulltext Online handwritten signature verification using neural network classifier based on principal component analysis

Iranmanesh V, Ahmad SM, Adnan WA, Yussof S, Arigbabu OA, Malallah FL

ScientificWorldJournal, 2014;2014:381469.
PMID: 25133227 DOI: 10.1155/2014/381469

One of the main difficulties in designing online signature verification (OSV) system is to find the most distinctive features with high discriminating capabilities for the verification, particularly, with regard to the high variability which is inherent in genuine handwritten signatures, coupled with the possibility of skilled forgeries having close resemblance to the original counterparts. In this paper, we proposed a systematic approach to online signature verification through the use of multilayer perceptron (MLP) on a subset of principal component analysis (PCA) features. The proposed approach illustrates a feature selection technique on the usually discarded information from PCA computation, which can be significant in attaining reduced error rates. The experiment is performed using 4000 signature samples from SIGMA database, which yielded a false acceptance rate (FAR) of 7.4% and a false rejection rate (FRR) of 6.4%.

Matched MeSH terms: Internet*
Open source EMR software: profiling, insights and hands-on analysis

Kiah ML, Haiqi A, Zaidan BB, Zaidan AA

Comput Methods Programs Biomed, 2014 Nov;117(2):360-82.
PMID: 25070757 DOI: 10.1016/j.cmpb.2014.07.002

The use of open source software in health informatics is increasingly advocated by authors in the literature. Although there is no clear evidence of the superiority of the current open source applications in the healthcare field, the number of available open source applications online is growing and they are gaining greater prominence. This repertoire of open source options is of a great value for any future-planner interested in adopting an electronic medical/health record system, whether selecting an existent application or building a new one. The following questions arise. How do the available open source options compare to each other with respect to functionality, usability and security? Can an implementer of an open source application find sufficient support both as a user and as a developer, and to what extent? Does the available literature provide adequate answers to such questions? This review attempts to shed some light on these aspects.

Matched MeSH terms: Internet*
Fulltext UltiMatch-NL: a Web service matchmaker based on multiple semantic filters

Mohebbi K, Ibrahim S, Zamani M, Khezrian M

PLoS One, 2014;9(8):e104735.
PMID: 25157872 DOI: 10.1371/journal.pone.0104735

In this paper, a Semantic Web service matchmaker called UltiMatch-NL is presented. UltiMatch-NL applies two filters namely Signature-based and Description-based on different abstraction levels of a service profile to achieve more accurate results. More specifically, the proposed filters rely on semantic knowledge to extract the similarity between a given pair of service descriptions. Thus it is a further step towards fully automated Web service discovery via making this process more semantic-aware. In addition, a new technique is proposed to weight and combine the results of different filters of UltiMatch-NL, automatically. Moreover, an innovative approach is introduced to predict the relevance of requests and Web services and eliminate the need for setting a threshold value of similarity. In order to evaluate UltiMatch-NL, the repository of OWLS-TC is used. The performance evaluation based on standard measures from the information retrieval field shows that semantic matching of OWL-S services can be significantly improved by incorporating designed matching filters.

Matched MeSH terms: Internet*
DENVirDB: a web portal of dengue virus sequence information on Asian isolates

Asnet MJ, Rubia AG, Ramya G, Nagalakshmi RN, Shenbagarathai R

J Vector Borne Dis, 2014 Jun;51(2):82-5.
PMID: 24947213

DENVirDB is a web portal that provides the sequence information and computationally curated information of dengue viral proteins. The advent of genomic technology has increased the sequences available in the public databases. In order to create relevant concise information on Dengue Virus (DENV), the genomic sequences were collected, analysed with the bioinformatics tools and presented as DENVirDB. It provides the comprehensive information of complete genome sequences of dengue virus isolates of Southeast Asia, viz. India, Bangladesh, Sri Lanka, East Timor, Philippines, Malaysia, Papua New Guinea, Brunei and China. DENVirDB also includes the structural and non-structural protein sequences of DENV. It intends to provide the integrated information on the physicochemical properties, topology, secondary structure, domain and structural properties for each protein sequences. It contains over 99 entries in complete genome sequences and 990 entries in protein sequences, respectively. Therefore, DENVirDB could serve as a user friendly database for researchers in acquiring sequences and proteomic information in one platform.

Matched MeSH terms: Internet*
Fulltext FusoBase: an online Fusobacterium comparative genomic analysis platform

Ang MY, Heydari H, Jakubovics NS, Mahmud MI, Dutta A, Wee WY, et al.

Database (Oxford), 2014;2014.
PMID: 25149689 DOI: 10.1093/database/bau082

Fusobacterium are anaerobic gram-negative bacteria that have been associated with a wide spectrum of human infections and diseases. As the biology of Fusobacterium is still not well understood, comparative genomic analysis on members of this species will provide further insights on their taxonomy, phylogeny, pathogenicity and other information that may contribute to better management of infections and diseases. To facilitate the ongoing genomic research on Fusobacterium, a specialized database with easy-to-use analysis tools is necessary. Here we present FusoBase, an online database providing access to genome-wide annotated sequences of Fusobacterium strains as well as bioinformatics tools, to support the expanding scientific community. Using our custom-developed Pairwise Genome Comparison tool, we demonstrate how differences between two user-defined genomes and how insertion of putative prophages can be identified. In addition, Pathogenomics Profiling Tool is capable of clustering predicted genes across Fusobacterium strains and visualizing the results in the form of a heat map with dendrogram.

Matched MeSH terms: Internet*
Fulltext Cloud service selection using multicriteria decision analysis

Whaiduzzaman M, Gani A, Anuar NB, Shiraz M, Haque MN, Haque IT

ScientificWorldJournal, 2014;2014:459375.
PMID: 24696645 DOI: 10.1155/2014/459375

Cloud computing (CC) has recently been receiving tremendous attention from the IT industry and academic researchers. CC leverages its unique services to cloud customers in a pay-as-you-go, anytime, anywhere manner. Cloud services provide dynamically scalable services through the Internet on demand. Therefore, service provisioning plays a key role in CC. The cloud customer must be able to select appropriate services according to his or her needs. Several approaches have been proposed to solve the service selection problem, including multicriteria decision analysis (MCDA). MCDA enables the user to choose from among a number of available choices. In this paper, we analyze the application of MCDA to service selection in CC. We identify and synthesize several MCDA techniques and provide a comprehensive analysis of this technology for general readers. In addition, we present a taxonomy derived from a survey of the current literature. Finally, we highlight several state-of-the-art practical aspects of MCDA implementation in cloud computing service selection. The contributions of this study are four-fold: (a) focusing on the state-of-the-art MCDA techniques, (b) highlighting the comparative analysis and suitability of several MCDA methods, (c) presenting a taxonomy through extensive literature review, and (d) analyzing and summarizing the cloud computing service selections in different scenarios.

Matched MeSH terms: Internet*
Fulltext Effect of temporal relationships in associative rule mining for web log data

Khairudin NM, Mustapha A, Ahmad MH

ScientificWorldJournal, 2014;2014:813983.
PMID: 24587757 DOI: 10.1155/2014/813983

The advent of web-based applications and services has created such diverse and voluminous web log data stored in web servers, proxy servers, client machines, or organizational databases. This paper attempts to investigate the effect of temporal attribute in relational rule mining for web log data. We incorporated the characteristics of time in the rule mining process and analysed the effect of various temporal parameters. The rules generated from temporal relational rule mining are then compared against the rules generated from the classical rule mining approach such as the Apriori and FP-Growth algorithms. The results showed that by incorporating the temporal attribute via time, the number of rules generated is subsequently smaller but is comparable in terms of quality.

Matched MeSH terms: Internet*
Expanding nursing education through e-learning: A case study in Malaysia

Syed-Mohamad SM, Pardi KW, Zainal NA, Ismail Z

Stud Health Technol Inform, 2006;122:186-9.
PMID: 17102245

The School of Health Sciences, Universiti Sains Malaysia (SHS) is planning to expand its contribution to produce more graduate nurses by offering a nursing degree through e-learning. After three years of using e-learning by four lecturers in seven nursing courses, we conducted a study to get the lecturers feedback and to compare the students' preference and their actual experiences in e-learning. Lecturers' feedback were collected based on six open-ended questions. Feedback from all the 36 final year nursing students were collected using Constructivist On-line Learning Environment Survey (COLLES)--the Student Experience/Preferred Form. Results show that lecturers and students have positive perception on e-learning. They perceive e-learning as a powerful and effective tool for expanding nursing education to meet the demand for a labour force that is knowledgeable, highly skilled and equipped with positive values. We believe blended learning is the most suitable approach to implement e-learning and social constructivism theory provides the dynamic view of learning. To increase success in e-learning implementation for the nursing programme, lecturers should be educated regarding proper instructional design so that their content delivery blends well with the technology and pedagogy.

Matched MeSH terms: Internet*
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: Internet*
Patient empowerment via 'pushed' delivery of Personalised Healthcare educational content over the internet

Abidi SS, Han CY, Abidi SR

Stud Health Technol Inform, 2001;84(Pt 2):1425-9.
PMID: 11604961

We present an Internet-based Personalised Healthcare Information (PHI) dissemination system. Information personalisation is guided by the individual's current health profile as recorded in his/her EMR. A PHI package is composed by intelligently selecting and synthesizing various topic-specific documents, each corresponding to some health parameter noted in the EMR. To ensure medical consistency, constraint satisfaction techniques are employed during the information selection phase. The resultant PHI package--covering both long-term and immediate health-maintenance requirements--can be pro-actively pushed to the individual via email, thereby ensuring the timely availability of situation-specific health maintenance information. The featured work is in line with the Malaysian Multimedia Super Corridor Telemedicine initiative and can serve as a test-bed to evaluate the effectiveness of PHI, system design and operational considerations for larger-scale deployment.

Matched MeSH terms: Internet*
Excessive internet use in young women: What are the implications?

Jaafar NRN, Bahar N, Ibrahim N, Wan Ismail WS, Baharudin A

Curr Opin Psychiatry, 2017 Jul;30(4):260-267.
PMID: 28426547 DOI: 10.1097/YCO.0000000000000336

PURPOSE OF REVIEW: There are considerable gender differences in youth engaging in excessive internet use (EIU). This review provides updates based on the recent literature focusing on the EIU in young women to describe its implications including what it constitutes of, its correlates, sequelae and preventive and/or treatment strategies.
RECENT FINDINGS: Definition of EIU and its conceptualization still requires refinement. Recent studies indicate a changing trend towards female predominance of EIU. Women also differ in their internet use compared with men regarding their preference in the internet content and online activities, motives of use and factors related to access to the internet, including the device, sociocultural restrictions, etc. The correlates and sequelae of EIU encompass psychological, physical, biological, family and social domains that could form the basis of identifying individuals at risk and strategizing treatment.
SUMMARY: The findings indicate the need for standardization in definition and measures of EIU for better recognition of EIU and identification of its at-higher-risk females. Effective preventive and treatment measures are still limited by various methodology flaws outlined here.

Matched MeSH terms: Internet*
Prevalence of internet gaming disorder in adolescents: A meta-analysis across three decades

Fam JY

Scand J Psychol, 2018 Oct;59(5):524-531.
PMID: 30004118 DOI: 10.1111/sjop.12459

The inclusion of "Internet gaming disorder (IGD)" in the fifth edition of Diagnostic and statistical manual of mental disorders (DSM-5) creates a possible line of research. Despite the fact that adolescents are vulnerable to IGD, studies had reported wide array of prevalence estimates in this population. The aim of this paper is to review the published studies on prevalence of IGD among adolescents. Relevant studies prior to March 2017 were identified through databases. A total of 16 studies met the inclusion criteria. The pooled prevalence of IGD among adolescents was 4.6% (95% CI = 3.4%-6.0%). Male adolescents generally reported higher prevalence rate (6.8%, 95% CI = 4.3%-9.7%) than female adolescents (1.3%, 95% CI = 0.6%-2.2%). Subgroup analyses revealed that prevalence estimates were highest when studies were conducted in: (i) 1990s; (ii) use DSM criteria for pathological gambling; (iii) examine gaming disorder; (iv) Asia; and (v) small samples (<1,000). This study confirms the alarming prevalence of IGD among adolescents, especially among males. Given the methodological deficits in past decades (such as reliance on DSM criteria for "pathological gambling," inclusion of the word "Internet," and small sample sizes), it is critical for researchers to apply a common methodology for assess this disorder.

Matched MeSH terms: Internet/statistics & numerical data*
Fulltext Physical Activity, Sedentary Behavior, and Diet-Related eHealth and mHealth Research: Bibliometric Analysis

Müller AM, Maher CA, Vandelanotte C, Hingle M, Middelweerd A, Lopez ML, et al.

J Med Internet Res, 2018 04 18;20(4):e122.
PMID: 29669703 DOI: 10.2196/jmir.8954

BACKGROUND: Electronic health (eHealth) and mobile health (mHealth) approaches to address low physical activity levels, sedentary behavior, and unhealthy diets have received significant research attention. However, attempts to systematically map the entirety of the research field are lacking. This gap can be filled with a bibliometric study, where publication-specific data such as citations, journals, authors, and keywords are used to provide a systematic overview of a specific field. Such analyses will help researchers better position their work.

OBJECTIVE: The objective of this review was to use bibliometric data to provide an overview of the eHealth and mHealth research field related to physical activity, sedentary behavior, and diet.

METHODS: The Web of Science (WoS) Core Collection was searched to retrieve all existing and highly cited (as defined by WoS) physical activity, sedentary behavior, and diet related eHealth and mHealth research papers published in English between January 1, 2000 and December 31, 2016. Retrieved titles were screened for eligibility, using the abstract and full-text where needed. We described publication trends over time, which included journals, authors, and countries of eligible papers, as well as their keywords and subject categories. Citations of eligible papers were compared with those expected based on published data. Additionally, we described highly-cited papers of the field (ie, top ranked 1%).

RESULTS: The search identified 4805 hits, of which 1712 (including 42 highly-cited papers) were included in the analyses. Publication output increased on an average of 26% per year since 2000, with 49.00% (839/1712) of papers being published between 2014 and 2016. Overall and throughout the years, eHealth and mHealth papers related to physical activity, sedentary behavior, and diet received more citations than expected compared with papers in the same WoS subject categories. The Journal of Medical Internet Research published most papers in the field (9.58%, 164/1712). Most papers originated from high-income countries (96.90%, 1659/1717), in particular the United States (48.83%, 836/1712). Most papers were trials and studied physical activity. Beginning in 2013, research on Generation 2 technologies (eg, smartphones, wearables) sharply increased, while research on Generation 1 (eg, text messages) technologies increased at a reduced pace. Reviews accounted for 20 of the 42 highly-cited papers (n=19 systematic reviews). Social media, smartphone apps, and wearable activity trackers used to encourage physical activity, less sedentary behavior, and/or healthy eating were the focus of 14 highly-cited papers.

CONCLUSIONS: This study highlighted the rapid growth of the eHealth and mHealth physical activity, sedentary behavior, and diet research field, emphasized the sizeable contribution of research from high-income countries, and pointed to the increased research interest in Generation 2 technologies. It is expected that the field will grow and diversify further and that reviews and research on most recent technologies will continue to strongly impact the field.

Matched MeSH terms: Internet/instrumentation*
Fulltext Integrating contextual sentiment analysis in collaborative recommender systems

Osman NA, Mohd Noah SA, Darwich M, Mohd M

PLoS One, 2021;16(3):e0248695.
PMID: 33750957 DOI: 10.1371/journal.pone.0248695

Recently. recommender systems have become a very crucial application in the online market and e-commerce as users are often astounded by choices and preferences and they need help finding what the best they are looking for. Recommender systems have proven to overcome information overload issues in the retrieval of information, but still suffer from persistent problems related to cold-start and data sparsity. On the flip side, sentiment analysis technique has been known in translating text and expressing user preferences. It is often used to help online businesses to observe customers' feedbacks on their products as well as try to understand customer needs and preferences. However, the current solution for embedding traditional sentiment analysis in recommender solutions seems to have limitations when involving multiple domains. Therefore, an issue called domain sensitivity should be addressed. In this paper, a sentiment-based model with contextual information for recommender system was proposed. A novel solution for domain sensitivity was proposed by applying a contextual information sentiment-based model for recommender systems. In evaluating the contributions of contextual information in sentiment-based recommendations, experiments were divided into standard rating model, standard sentiment model and contextual information model. Results showed that the proposed contextual information sentiment-based model illustrates better performance as compared to the traditional collaborative filtering approach.

Matched MeSH terms: Internet/trends*
Web-based interventions for the management of type 2 diabetes mellitus: a systematic review of recent evidence

Ramadas A, Quek KF, Chan CK, Oldenburg B

Int J Med Inform, 2011 Jun;80(6):389-405.
PMID: 21481632 DOI: 10.1016/j.ijmedinf.2011.02.002

Introduction: The Internet has emerged as a potentially effective medium for information exchange. The Internet's potential has been recognised and web-based education programmes have been steadily adopted in recent years in preventing and managing chronic diseases such as diabetes mellitus. This review provides a descriptive discussion of web-based behavioural interventions for the management of type 2 diabetes mellitus.
Method: Systematic literature searches were performed using MEDLINE, EMBASE, PUBMED, PsycINFO, Web of Science and Cochrane Library to retrieve articles published between 2000 and June 2010 which fulfilled all inclusion criteria. Methodological quality assessment and data synthesis were then performed.
Results: Twenty articles representing 13 different studies were reviewed. None of the studies were ranked as low in the methodological quality. Goal-setting, personalised coaching, interactive feedback and online peer support groups were some of the successful approaches which were applied in e-interventions to manage type 2 diabetes mellitus. Strong theoretical background, use of other technologies and longer duration of intervention were proven to be successful strategies as well.
Conclusion: The web-based interventions have demonstrated some level of favourable outcomes, provided they are further enhanced with proper e-research strategies.

Matched MeSH terms: Internet*
Fulltext Unethical research trend: shadow libraries

Asim Z, Sorooshian S

Sao Paulo Med J, 2017 08 21;136(1):96-97.
PMID: 28832811 DOI: 10.1590/1516-3180.2017.0122210517
Matched MeSH terms: Internet/ethics*
Internet analytics of an innovative digital educational resource of type 1 diabetes HelloType1 in local languages for people living with diabetes families and healthcare professionals in Southeast Asia

Ng SM, Malene IV, Nguyen TK, Le K, Lim YXL, Lek N, et al.

BMC Endocr Disord, 2023 Nov 16;23(1):249.
PMID: 37974071 DOI: 10.1186/s12902-023-01501-4

BACKGROUND: There is minimal data of health outcomes for Type 1 Diabetes (T1D) in Southeast Asia (SEA) where government funding of insulin and blood glucose monitoring either do not exist or is limited. The full impact of Covid-19 pandemic on the national economies of SEA remain unknown. In the midst of the pandemic, in 2021, HelloType1 was developed by Action4Diabetes (A4D), a non-government organisation charity in collaboration with Southeast Asia local healthcare professionals as an innovative digital educational resource platform of T1D in local languages. HelloType1 was launched in Cambodia, Vietnam, Thailand and Malaysia in 2021 to 2022 with Memorandums of Understandings (MOUs) signed between A4D and each country. Internet data analytics were undertaken between the 1st of January 2022 to 31st of December 2022.
AIMS: The aims of this study were to explore the usability and internet data analytics of the HelloType1 online educational platform within each country.
METHODS: The data analytics were extracted Google analytics that tracks data from the website hellotype1.com and Facebook analytics associated with the website.
RESULTS: There was a 147% increase in the number of HelloType1 users between the first 6 months versus the latter 6 months in 2022 and a 15% increase in the number of pages visited were noted. The majority of traffic source were coming from organic searches with a significant increase of 80% growth in 2022.
CONCLUSIONS: The results of the analytics provide important insights on how an innovative diabetes digital educational resource in local languages may be optimally delivered in low-middle income countries with limited resources.

Matched MeSH terms: Internet*
Fulltext A preliminary investigation of user perception and behavioral intention for different review types: customers and designers perspective

Qazi A, Raj RG, Tahir M, Waheed M, Waheed M, Khan SU, et al.

ScientificWorldJournal, 2014;2014:872929.
PMID: 24711739 DOI: 10.1155/2014/872929

Existing opinion mining studies have focused on and explored only two types of reviews, that is, regular and comparative. There is a visible gap in determining the useful review types from customers and designers perspective. Based on Technology Acceptance Model (TAM) and statistical measures we examine users' perception about different review types and its effects in terms of behavioral intention towards using online review system. By using sample of users (N = 400) and designers (N = 106), current research work studies three review types, A (regular), B (comparative), and C (suggestive), which are related to perceived usefulness, perceived ease of use, and behavioral intention. The study reveals that positive perception of the use of suggestive reviews improves users' decision making in business intelligence. The results also depict that type C (suggestive reviews) could be considered a new useful review type in addition to other types, A and B.

Matched MeSH terms: Internet
Fulltext Health innovations in patient decision support: Bridging the gaps and challenges

Ng CJ, Lee YK, Lee PY, Abdullah KL

Australas Med J, 2013;6(2):95-9.
PMID: 23483776 DOI: 10.4066/AMJ.2013.1655

Patient decision aids (PDAs) help to support patients in making an informed and value-based decision. Despite advancement in decision support technologies over the past 30 years, most PDAs are still inaccessible and few address individual needs. Health innovation may provide a solution to bridge these gaps. Information and computer technology provide a platform to incorporate individual profiles and needs into PDAs, making the decision support more personalised. Health innovation may enhance accessibility by using mobile, tablet and Internet technologies; make risk communication more interactive; and identify patient values more effectively. In addition, using databases to capture patient data and the usage of PDAs can help: developers to improve PDAs' design; clinicians to facilitate the decisionmaking process more effectively; and policy makers to make shared decision making more feasible and cost-effective. Health innovation may hold the key to advancing PDAs by creating a more personalised and effective decision support tool for patients making healthcare decisions.

Matched MeSH terms: Internet

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