Towards an evaluation framework for medical web applications

Copyright @ 2013 EMCIS.The main aim of this study is to review and analyse various evaluation frameworks used to assess the operational effectiveness of various Information Technology (IT) processes/applications and identify their strengths in order to form a new holistic framework for economic evaluation of web applications. This research aims to address the need for a new holistic evaluation framework for the purpose of the evaluation of the medical web applications. Over the last decade more and more, companies used accountancy techniques such as the frameworks analysed in this research. This new holistic framework that was developed will include also steps regarding the indirect and intangible costs and benefits identification and their incorporation in the evaluation process. Moreover the new emerging market of the medical websites and the embedded on them web applications requires also a new evaluation framework that will provide accurate results in the estimation of the efficiency of an investment on them. The paper first presents an introduction about why economic evaluation is important when evaluating the Information Technology in organizations. Various studies are reviewed, which highlight the ever increasing importance of integrating economic evaluation processes, such as Cost Benefit Analysis (CBA) and Return on Investment (ROI), into systems and processes of organizations and economic organizations, and analyse the factors that govern their role. Finally, the evaluation frameworks and methods that are found in these studies should be used as a part of a proactive systematic action plan that the organizations could use to avoid budget reduction due to incorrect planning. The next part of this study includes a comprehensive presentation and review of past frameworks used to evaluate Information Technology. The frameworks that are reviewed are the Framework for evaluation of information systems, the Information Technology Adoption Model (ITAM), the Total Evaluation and Acceptance Methodology (TEAM) framework, the ROI Process Model and HOT-fit evaluation framework for Health Information Systems

Emerging Alternatives to the Impact Factor

Purpose: The authors document the proliferating range of alternatives to the impact factor that have arisen within the past five years, coincident with the increased prominence of open access publishing. Methodology/Approach: This paper offers an overview of the history of the impact factor as a measure for scholarly merit; a summary of frequent criticisms of the impact factor’s calculation and usage; and a framework for understanding some of the leading alternatives to the impact factor. Findings: This paper identifies five categories of alternatives to the impact factor: a. Measures that build upon the same data that informs the impact factor. b. Measures that refine impact factor data with “page rank” indices that weight electronic resources or Web sites through the number of resources that link to them. c. Measures of article downloads and other usage factors. d. Recommender systems, in which individual scholars rate the value of articles and a group’s evaluations pool together collectively. e. Ambitious measures that attempt to encompass the interactions and influence of all inputs in the scholarly communications system. Value of Paper: Librarians can utilize the measures described in this paper to support more robust collection development than is possible through reliance on the impact factor alone

Ultrasound IMT measurement on a multi-ethnic and multi-institutional database: Our review and experience using four fully automated and one semi-automated methods

Automated and high performance carotid intima-media thickness (IMT) measurement is gaining increasing importance in clinical practice to assess the cardiovascular risk of patients. In this paper, we compare four fully automated IMT measurement techniques (CALEX, CAMES, CARES and CAUDLES) and one semi-automated technique (FOAM). We present our experience using these algorithms, whose lumen-intima and media-adventitia border estimation use different methods that can be: (a) edge-based; (b) training-based; (c) feature-based; or (d) directional Edge-Flow based. Our database (DB) consisted of 665 images that represented a multi-ethnic group and was acquired using four OEM scanners. The performance evaluation protocol adopted error measures, reproducibility measures, and Figure of Merit (FoM). FOAM showed the best performance, with an IMT bias equal to 0.025 ± 0.225 mm, and a FoM equal to 96.6%. Among the four automated methods, CARES showed the best results with a bias of 0.032 ± 0.279 mm, and a FoM to 95.6%, which was statistically comparable to that of FOAM performance in terms of accuracy and reproducibility. This is the first time that completely automated and user-driven techniques have been compared on a multi-ethnic dataset, acquired using multiple original equipment manufacturer (OEM) machines with different gain settings, representing normal and pathologic case

GOVERNANCE OF HIGHER EDUCATION IN INDIAN SYSTEMS OF MEDICINE:\ud ISSUES, CONCERNS, AND CHALLENGES

This article tries to identify the major issues, concerns and challenges pertaining to higher education in Indian systems of medicine (Ayurveda, Siddha and Unani) in the context of current global scenario

Design and management of biomedical applications systems for NASA Quarterly report, 1 Oct. - 31 Dec. 1968

Design and management of program relating aerospace technology to biomedical application

Considerations regarding the Performance Improvement of the Hospital Healthcare Services from Romania by the Implementation of an Integrated Management System

The continuous quality improvement is an obligatory condition for the achievement and maintaining of the performance in healthcare services. Introducing the concepts of quality improvement in medical practice represents a distinctive component of the hospital reform in Romania. Healthcare quality is a more important principle in sanitary field, because the level of patients ‘knowledge is increasing concomitantly with the technological and therapeutic progresses. The continuous quality improvement is an obligatory condition for the achievement and maintaining the performance in healthcare organization, especially in hospital. The integration of many management systems (quality management, environmental management, security and occupational health management, information security management) and the development of an integrated management model applicable to Romanian hospitals, which have as principal goal to improve the performance of health services, represent a challenge for the Romanian health system. An integrated management system is a logical and systematic managerial approach, which permits taking-up optimum strategic and operational decisions. These decisions take into consideration all the essential aspects which lead to an efficient functionality of health organization, in terms of quality, environment, security and occupational health, and information security.healthcare, hospital, quality, integrated management system

Adaption of structured analysis design techniques methodology for construction project planning

The construction industry has been heavily criticised by researchers and governmental organisations for its performance especially excessive delay. Ballard and Howell (2003) indicated that only about 50% of the tasks on weekly work plans are completed by the end of the plan week. This is a result of a lack of either effective project planning or effective production control. It therefore seems the traditional approach of planning is insufficient to meet the current demand and complexity of construction projects. This paper proposes to critically evaluate the adaptation of Structured Analysis Design Techniques (SADT) methodology as a tool for project planning. SADT which was further developed into IDEF (Integrated Definition) techniques claims to be a complete methodology to provide the means of understanding complex production systems and aid the implementation of change. The use of this methodology has led to process improvement. The research uses a literature review followed by interviews with academics and practitioners to investigate their knowledge and understanding of SADT (IDEFO). The results of the interviews indicated that SADT (IDEFO) methodology is seldom known and used in the construction industry. However, this study indicates that SADT methodology appears to be an effective project planning tool. This study contributes to the limited project planning techniques in construction industry by exploring the possible adaption of SADT

NCBO Ontology Recommender 2.0: An Enhanced Approach for Biomedical Ontology Recommendation

Biomedical researchers use ontologies to annotate their data with ontology terms, enabling better data integration and interoperability. However, the number, variety and complexity of current biomedical ontologies make it cumbersome for researchers to determine which ones to reuse for their specific needs. To overcome this problem, in 2010 the National Center for Biomedical Ontology (NCBO) released the Ontology Recommender, which is a service that receives a biomedical text corpus or a list of keywords and suggests ontologies appropriate for referencing the indicated terms. We developed a new version of the NCBO Ontology Recommender. Called Ontology Recommender 2.0, it uses a new recommendation approach that evaluates the relevance of an ontology to biomedical text data according to four criteria: (1) the extent to which the ontology covers the input data; (2) the acceptance of the ontology in the biomedical community; (3) the level of detail of the ontology classes that cover the input data; and (4) the specialization of the ontology to the domain of the input data. Our evaluation shows that the enhanced recommender provides higher quality suggestions than the original approach, providing better coverage of the input data, more detailed information about their concepts, increased specialization for the domain of the input data, and greater acceptance and use in the community. In addition, it provides users with more explanatory information, along with suggestions of not only individual ontologies but also groups of ontologies. It also can be customized to fit the needs of different scenarios. Ontology Recommender 2.0 combines the strengths of its predecessor with a range of adjustments and new features that improve its reliability and usefulness. Ontology Recommender 2.0 recommends over 500 biomedical ontologies from the NCBO BioPortal platform, where it is openly available.Comment: 29 pages, 8 figures, 11 table