International Journal of Computers in Clinical Practice

This paper is based on a 2008 chapter (Shahtahmasebi, 2008) exploring the availability of information for public health policy purposes which argued its ineffectiveness to add insight and inform the process of policy development. Processes are dynamic by nature which politicians and professionals often neglect in addressing public health issues. The Chapter argued that whilst information is a major currency within health systems a lack of understanding of what constitutes information has disguised available data as small change. Since 2008, against a backdrop of reorganisations, restructuring, buzzwords, and coupled with the rapid advancement in technology the issues remain the same but are somewhat more complicated due to the feedback effect of dynamic processes. For example, a curious persistence of various governments with electronic health records has done nothing to address the gap in “information” or incompatibility in the information systems developed and managed by various care agencies. Furthermore, changing information to “intelligence” (e.g. Public Health Intelligence Units) or “observatories” to carry out similar tasks of reporting health outcomes using the same routine data will not solve the problem. This paper proposes a re-evaluation of the author's focus on informatics and suggests a move away from a technological “solution” based approach to a human behaviour-led approach that utilises the full potential of technologies to address important issues. To this end, this paper proposes a conceptual model to improve access, over and above clinical data, to health data.

Said Shahtahmasebi

The Information Paradox

信息悖论

Home caregivers provide multidimensional support to family and friends who are aged, disabled, and unable to care for self. Often experiencing the negative effects of caregiver stress, they face potential physical and emotional strain, changes in health requiring emergency treatment, and financial burden. Today, families are turning to mobile technology to lessen their burden and to cope with the stress of caring for members through activities including healthcare information searches. The purpose of this study is to explore how the Internet is helping caretakers to make decisions on the selection of doctors and treatment options. Multivariate regression analysis and individual level data from the Pew Internet and American Life Project is used. The authors' findings suggest that while caregivers are using the Internet for making decisions on family health needs, they are not as likely to use it to protect their own health.

Mary Schmeida

Ramona McNeal

Consulting Online Healthcare Information

在线医疗信息咨询

The paper discusses the use of RFID technologies in healthcare setting examining the status of applications and prospective views. The authors have identified two classes of applications of RFID technologies in healthcare setting: people monitoring/management and items/assets management applications. While for the perspective views it is provided their classification in: future scenarios, emerging applications and needs. Moreover, a discussion on components, development, key strengths and critical issues affecting the RFID usage in healthcare setting is given in the paper.

Alessia D'Andrea

Fernando Ferri

Patrizia Grifoni

RFID Technologies in Healthcare Setting

医疗环境中的RFID技术

Online communities of practice (CoPs) are recognised as a KM initiative, whereby practitioners conduct discussions and share their experiences online. The imperative of the evaluation in measuring the effectiveness of Online CoPs fulfills its role and support for healthcare practitioners knowledge sharing has been recognized by practitioners and researchers in the KM field. Success measures of Online CoPs should support healthcare organizations in different methods; it could suggest ways to improve the design, implementation, usage, and operation of Online CoPs by addressing and understanding the main factors that impact the Online CoPs success and acceptance. Presently, establishing an evaluation framework has become essential for the advancement of research and practice in this area. The author has classified the existing researches, based on the area of evaluation. The study concludes by proposing a conceptual framework to measure the success of online CoPs in health care sector.

Haitham Alali

Online Healthcare Communities of Practice

在线医疗实践社区

Health care related technology, or E-health, has the potential to lessen the impact of the growing aging population on the health care system and support older adults' preference for aging in place. However, for technologies to be adopted by older users, research is needed to understand older adults' unique health care needs, their preferences for support, and their perceptions of technologies designed for health care. Specifically directed toward older users, this article highlights the need for user-centered design and the implications for technology acceptance, and describes studies that employed systematic subjective methods such as focus groups, interviews, and questionnaires to provide a rich, detailed depiction of older users' interactions with E-health. User-centered design evaluations involving older adults can help designers create products and services that are more likely to be adopted by older adult end users.

Tracy L. Mitzner

Katinka Dijkstra

Evaluating User Centered Design of E-Health for Older Adults

评估面向老年人的电子健康用户中心设计

The field of robotic surgery is being developed and is increasingly being applied to many and different surgical procedures. This results in the need of looking for different patient placements, which will give the surgeon the best view of the area of clinical interest. The purpose of this paper is to study and investigate the various ways of patient preparation and positioning in the field of robotic surgery. Also, this paper proposes a classification and comparing between these different positions, depending on the procedure.

Charalambos Rafail Vasilopoulos

Dimitrios Dedousis

John Klavdianos

Konstantinos Deligiorgis

Athanasios Anastasiou

Patient Preparation and Positioning on Robot-Assisted and Robotic Surgeries

机器人辅助及机器人手术中的患者准备与定位

Anemia is a major cause of morbidity and mortality of SCD patients in many parts of the world with the burden much higher in Sub Saharan Africa. This study developed an ensemble of machine learning algorithm for the prediction of the risk of anemia in pediatric SCD patients. Data for this study was collected from 115 pediatric SCD outpatients receiving treatment at a tertiary hospital in South-Western Nigeria. This study adopted a stack-ensemble model composed of deep neural network (DNN), multi-layer perceptron (MLP), and support vector machines (SVM) as base and meta-classifiers using the WEKA software. The ensemble models were compared following the stack-ensemble developed using SVM as a meta-classifier had the best performance with an accuracy of 72.7%. The study concluded that information about socio-demographic and clinical data can be used to assess the risk of anemia among SCD patients.

Jeremiah Ademola Balogun

Adanze O. Asinobi

Olawale Olaniyi

Samuel Ademola Adegoke

Florence Alaba Oladeji

Peter Adebayo Idowu

Ensemble Model for the Risk of Anemia in Pediatric Patients With Sickle Cell Disorder

镰状细胞病患儿贫血风险的综合模型

In the healthcare field, a critical issue is how to reason and represent uncertainties that present in clinical knowledge domain, signs, and symptoms to make the correct decisions. Although several researchers have developed various models of clinical modeling, many of them are incapable of handling uncertainties correctly. The paper provides the working details of rule-based inference methodology using evidence reasoning (RIMER) methodology applied to model the inference process and clinical guidelines. In RIMER, belief-degree are embedded in all possible consequences of the rule. It can handle uncertainties and provide a causal relationship between the rules. Traditional IF-THEN rules do not provide a causal relationship between antecedent and consequent attributes of the rule only provide that the rule is either 100% true or 100% false. Also, a case study is used to demonstrate that the results generated by the system using RIMER are more reliable in terms of accuracy and performance compared to results generated manually for a diabetes diagnosis.

Meenakshi Sharma

Himanshu Aggarwal

Applying Belief Rule-Based Inference Methodology Using Evidential Reasoning Approach to Clinical Reporting System

应用基于证据推理的信念规则推理方法于临床报告系统

This article provides the reader with a literature overview of the newest empirical evidences available on the use of assistive technology-based programs for teaching and improving adaptive responding of children with severe to profound developmental disabilities. Four main categories of studies were selected, regarding (a) the technology for promoting independent access to positive stimulation, (b) the combination between microswitch and VOCA aimed at asking for social contact with a caregiver, (c) the cluster technology for increasing an adaptive response, and simultaneously reducing a challenging behavior, (d) the technology for requesting and choosing desired item or the access to the literacy. Overall, 26 studies were reviewed, and 75 participants were involved. The outcomes were largely positive, although few failures occurred. Psychological and Rehabilitative implications of the findings for both research and clinical practices were critically discussed

Viviana Perilli

Fabrizio Stasolla

Adele Boccasini

Technological Solutions for Helping Adaptive Responding of Children with Severe to Profound Developmental Disabilities

严重至极重度发育障碍儿童适应性反应辅助技术解决方案

The aim of this article is the development and use of a smart accountability system (both systemic and individual) during the provision of health services, which will free up a large number of resources within a Health Organization. Compared to traditional manual recording, the new system of Digital Pen and Paper (DPP) achieves a significant reduction in the organization's operating cost. Over the duration of seven months from January to July 2016, 693 forms were collected from three public hospitals of Greece. 49 nurses who worked in intensive care units (ICU) took part in the survey. 18,934 fields were filled in 1,466 of which were counted with errors. The accuracy percentage rate of the data amounts to 92.3% and the corresponding rate of errors to 7.7%. The average time for a form to be filled in by a nurse using the digital pen amounts to 3 minutes and 35 seconds. The highest percentage rate of data accuracy reached 94.76% and the best time of filling in the form was under 3 minutes per form. Results can be improved even more through user training and application of entry rules.

Dimitrios P Tsoromokos

Athina A Lazakidou

Transforming Health Information Management Through the Digital Pen and Paper (DPP) Technology

通过数字笔和纸技术变革健康信息管理

Publication Information	Publisher: IGI Global，Publishing cycle: ，Journal Type: journal，Open Access Journals: No
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International Journal of Computers in Clinical Practice

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