A Generic Adaptation Framework for Web-Based Hypermedia Systems

2008 ◽  
pp. 148-167
Author(s):  
Alexandros Paramythis ◽  
Constantine Stephanidis
Keyword(s):  
European Commission ◽  
Local Information ◽  
Lessons Learned ◽  
Adaptive Hypermedia ◽  
Web Based ◽  
Adaptive Hypermedia Systems ◽  
Future Work ◽  
Web Publishing

This chapter introduces a framework intended for facilitating the implementation of Web-based adaptive hypermedia systems. The framework is orthogonal to Web “serving” approaches, and poses only minimal requirements in that direction. As such, it can be easily integrated into existing, non-adaptive Web-publishing solutions. This chapter presents in detail several aspects of the framework, and provides an overview of its application in the European Commission-funded IST-1999-20656 PALIO project (“Personalised Access to Local Information and Services for Tourists”). Furthermore, it discusses some of the lessons learned from our work on the framework thus far, as well as what we consider the most likely directions of future work in the area.

A Generic Adaptation Framework for Web-Based Hypermedia Systems

2011 ◽  
pp. 80-103 ◽  
Author(s):  
Alexandros Paramythis ◽  
Constantine Stephanidis
Keyword(s):  
European Commission ◽  
Local Information ◽  
Lessons Learned ◽  
Adaptive Hypermedia ◽  
Web Based ◽  
Adaptive Hypermedia Systems ◽  
Future Work ◽  
Web Publishing

This chapter introduces a framework intended for facilitating the implementation of Web-based adaptive hypermedia systems. The framework is orthogonal to Web “serving” approaches, and poses only minimal requirements in that direction. As such, it can be easily integrated into existing, non-adaptive Web-publishing solutions. This chapter presents in detail several aspects of the framework, and provides an overview of its application in the European Commission-funded IST-1999-20656 PALIO project (“Personalised Access to Local Information and Services for Tourists”). Furthermore, it discusses some of the lessons learned from our work on the framework thus far, as well as what we consider the most likely directions of future work in the area.

Automating a program for the evidence-based reimbursement of oncology drugs across a complex network: Benefits and challenges.

2014 ◽  
Vol 32 (30_suppl) ◽  
pp. 39-39
Author(s):  
John Gilks ◽  
Marta Yurcan ◽  
Tim Yardley ◽  
Scott Gavura ◽  
Vishal Kukreti
Keyword(s):  
Best Practice ◽  
Lessons Learned ◽  
Web Based ◽  
Funding Program ◽  
Design Build ◽  
Treatment Data ◽  
Specific Factors ◽  
Survey Responses ◽  
Ordering Systems ◽  
Future Work

39 Background: Ontario hospitals are reimbursed for IV chemotherapy through Cancer Care Ontario’s (CCO) New Drug Funding Program (NDFP). By 2009, 54 indications (annual budget $195MM) were managed through largely paper based processes. A new web based system (eClaims) was developed focusing on clinic workflow and integration to chemotherapy ordering systems. Interfaces were developed for CCO’s OPIS and commercial systems (HL7v3). eClaims provides users with clinical best practice, pre-approval, immediate adjudication and simple means of tracking outstanding claims. The benefits and challenges are described. Methods: Evaluation used several strategies: debriefs after each deployment; post-go live user surveys and lessons learned workshops. Results: eClaims was deployed in 80 hospitals over two years. At most sites (50/80) treatment data flows from CPOE systems to eClaims in near real time. Over 50% of claims are machine adjudicated. Newly approved indications can be posted within hours. The main learnings during the deployment process were the need to understand and adjust for hospital specific factors and the unique business relationships among clusters of hospitals. Survey responses were received at a 19% response rate. The later deployment groups reported greater satisfaction than earlier adopters with more positive responses in all categories. Workshop key theme was the need to match complex clinical workflows with design/build processes. Secondly, evaluation of historical data before migration is necessary. Conclusions: Introducing an application into complex, varied clinical workflows is difficult. The phased approach to deployment and evaluation worked, allowing for increasingly smooth go lives. Future work revolves around balancing user needs through eClaims modifications vs simplifying clinical processes to make the tool more usable.

Adapting an Evidence-Based Early Childhood Tier 2 Social-Emotional Learning Intervention for Web-Based Delivery

2021 ◽  
pp. 004723952110160
Author(s):  
Kristen L. Granger ◽  
Maureen A. Conroy ◽  
Kevin S. Sutherland ◽  
Edward G. Feil ◽  
Jessica Wright ◽  
...  
Keyword(s):  
Early Childhood ◽  
Intervention Program ◽  
Phase 1 ◽  
Lessons Learned ◽  
Study Phase ◽  
Evidence Based ◽  
Tier 2 ◽  
Web Based ◽  
Testing Phase ◽  
Panel Review

The purpose of this article is to describe the adaptation process of an evidence-based early childhood Tier-2 intervention program, BEST in CLASS-Prekindergarten, from a face-to-face format to a web-based delivery format called BEST in CLASS-Web. We describe the three-phase iterative development process used to adapt the parent program for delivery via the web. Activities in these phases included focus groups, interviews, an expert panel review, alpha and beta testing (Phase 1), feasibility testing (Phase 2), and a pilot promise study (Phase 3). Each phase included a series of refinements and improvements to materials based on data and stakeholder feedback. Lessons learned and implications for developing and implementing professional development services via online platforms are discussed.

scholarly journals Integrated Robotic systems for Humanitarian Demining

10.5772/5694 ◽  
2007 ◽  
Vol 4 (2) ◽  
pp. 24 ◽  
Author(s):  
E. Colon ◽  
G. De Cubber ◽  
H. Ping ◽  
J-C Habumuremyi ◽  
H. Sahli ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Lessons Learned ◽  
Mine Detection ◽  
Detection Systems ◽  
Visual Positioning ◽  
Humanitarian Demining ◽  
Typical Data ◽  
Terrain Following ◽  
Software Interfaces ◽  
Future Work

This paper summarises the main results of 10 years of research and development in Humanitarian Demining. The Hudem project focuses on mine detection systems and aims at provided different solutions to support the mine detection operations. Robots using different kind of locomotion systems have been designed and tested on dummy minefields. In order to control these robots, software interfaces, control algorithms, visual positioning and terrain following systems have also been developed. Typical data acquisition results obtained during trial campaigns with robots and data acquisition systems are reported. Lessons learned during the project and future work conclude this paper.

scholarly journals Developing Web-based Education Resources: Lessons Learned From Three Experiences

2017 ◽  
Vol 25 (2) ◽  
pp. 13
Author(s):  
Jo Ann Carr
Keyword(s):  
Case Studies ◽  
Web Site ◽  
Lessons Learned ◽  
The Internet ◽  
Technological Changes ◽  
Web Based ◽  
Education Resources ◽  
Annotated List ◽  
Web Based Education

This article reviews the development of three Web-based education resources and the potential for each of these resources to meet the needs of users for a 'killer app'. Three case studies (the Annotated List of Education Journals, the IDEAS Portal Web Site and the Eisenhower National Clearinghouse Web Site)review the purpose, audience, content, funding, publicity and structure of the sites. Differences in staffing, funding and the centrality of these sites to the mission of their sponsoring institutions impacted the growth of these sites. Technological changes and the diffuse nature of the Internet also impacted the development of these resources.

scholarly journals Web-based questionnaires: Lessons learned from practical implementation of a pharmacoepidemiological study

F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 135
Author(s):  
Raissa Cândido ◽  
Edson Perini ◽  
Cristiane Menezes de Pádua ◽  
Daniela Junqueira
Keyword(s):  
Data Collection ◽  
Information Science ◽  
Cognitive Enhancement ◽  
Lessons Learned ◽  
Practical Implementation ◽  
Considerable Effort ◽  
Pharmacoepidemiological Study ◽  
Web Based ◽  
Respondent Burden ◽  
Online Mode

Web-based questionnaires may offer advantages over traditional methods of data collection, including a less administrative workload and reduced respondent burden. However, the implementation of this mode of data collection carries other challenges and may demand more technical expertise to be designed and delivered. Here, we use the preliminary data from a survey developed to estimate the prevalence of methylphenidate use for cognitive enhancement among undergraduate and graduate students, to share the lessons we learned while implementing this online mode of data collection. We show that surveys using a web-based questionnaire should be carried out by a multidisciplinary team with support from Information Science specialists. Limitations to access these resources or budget constraints may demand a considerable effort to assure the success of the survey. Web-questionnaires are usually described as easy to use and economically encouraging. Therefore, we believe our experience, and the lessons we learned, may be a relevant resource for researchers from general backgrounds intending to undertake their first web-questionnaire.

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