A Web-based interactive Student Advising system using Java frameworks

The use of open source frameworks and tools has become popular in Java development. These frameworks and tools have core strengths and weaknesses and are selected accordingly for development. Consequently, one of the key issues that developers face is to integrate and configure these tools together. This paper demonstrates the use of popular Java frameworks and tools to develop a Web-based interactive Student Registration and Advising system

Formative Evaluation to Determine Facilitators and Barriers to Nurse-driven Implementation: Designing an Inpatient mHealth Intervention to Support Smoking Cessation

The inpatient setting is often a missed opportunity for the introduction of technology to promote health using behavioral techniques. Nurses are stakeholders in the implementation of technology for patients in the inpatient setting and are essential for the determination of feasibility and relevance. The objective of this study was to identify facilitators and barriers for introduction of health-related patient technology, and specifically the appropriateness of mobile health (mHealth) technology in the hospital setting as identified by nurse leaders and staff. Methods of formative evaluation included nurse leader and staff semi-structured interviews and qualitative analysis. Nurses are comfortable with patients using mHealth technology in the inpatient setting. Facilitators for the introduction of technology to hospitalized patients were identified. Based on the formative evaluation findings, we developed an Implementation Program for mHealth technology introduction in the inpatient setting

A test-bed for the Correlation Center of Digital Services

For an e-business to be successful, companies need to formulate a business strategy, have informative strategic alliances, develop an international system, build a proactive infrastructure, internationalize their model, capture the residual value, exploit the international telecommunications liberalization, homogenize the data structure and globalize human resources. To achieve their objective, businesses need a more integrated automation system to speed up the process of establishing and conducting Internet-based services. In this paper, a component-based prototyping approach is used in developing a generic model and framework for a correlation center that provides entrepreneurs with a tool to quickly build and automate e-commerce linkages, thus enabling companies to establish their businesses over the Internet using a proven methodology

Recommender Systems For Computer Tailored Health Communications

Presentation on the development of a recommender system for a computer-tailored health communications tool that assists with helping tobacco users to quit smoking. This presentation was part of the retreat mini-symposium entitled: Smartphones, Sensors, and Social Networks: The New Tools of Health Behavior Change

Process Personalization Framework for Service-Driven Enterprises

Service functions and service activities are integral part of enterprises. Although technologies have improved for developing service functions, errors persist in service activities. Noted computer scientist Ramamoorthy describes personalization, customization, and humanization of service functions as an effective approach for reducing error in service activities. This paper argues that current personalization approaches does not effectively address the entire spectrum of service functions. The proposed personalization framework can advance current state of personalization through enabling tools as services and services as tools. We discuss the framework utilizing biological research as a service-driven enterprise example. The proposed framework is based on our enterprise process personalization patent

Robotics Enabled In-Home Environment Screening for Fall Risks

Our overarching goal is to investigate, design, create and validate the fundamental scientific and engineering framework for intelligent, networked mobile robots to semi-autonomously perform environmental fall risk assessment in the home. Motivated by the facts that (1) aging in place improves the overall health and well-being of individuals, (2) falls are the leading cause of mortality in older adults, (3) home environmental fall risk assessment is an effective preventive strategy, and (4) extreme costs and shortage of trained personnel are huge barriers for effective and efficient delivery of fall risk home assessments by health care providers, we are iteratively developing user-centric designs for a new class of robotic systems that can be assembled easily and cost-effectively to detect environmental hazards and, as a result, preventively and proactively minimize falls in the home. The tight integration of the research thrusts in robot design and control, task and motion planning under uncertainty, and human-on-the-mesh control of networked robots is aimed at advancing the theory and practice of robotics and lead to the demonstration of innovative approaches to transform healthcare delivery with a focus on wellbeing. In this poster presentation, we will present our preliminary results from developing this framework. We present the communication and control framework for a semi-autonomous mobile robot that can be controlled over an internet connection via a web interface. We will discuss the opportunities and challenges associated with a human-robot team completing the HEROS (http://www.temple.edu/older_adult/) environment safety checklist. Our preliminary results demonstrate that this technology can be helpful to effectively prevent the in-home falls among elderly

Virtual Patient Technology: Engaging Primary Care in Quality Improvement Innovations

BACKGROUND: Engaging health care staff in new quality improvement programs is challenging. OBJECTIVE: We developed 2 virtual patient (VP) avatars in the context of a clinic-level quality improvement program. We sought to determine differences in preferences for VPs and the perceived influence of interacting with the VP on clinical staff engagement with the quality improvement program. METHODS: Using a participatory design approach, we developed an older male smoker VP and a younger female smoker VP. The older male smoker was described as a patient with cardiovascular disease and was ethnically ambiguous. The female patient was younger and was worried about the impact of smoking on her pregnancy. Clinical staff were allowed to choose the VP they preferred, and the more they engaged with the VP, the more likely the VP was to quit smoking and become healthier. We deployed the VP within the context of a quality improvement program designed to encourage clinical staff to refer their patients who smoke to a patient-centered Web-assisted tobacco intervention. To evaluate the VPs, we used quantitative analyses using multivariate models of provider and practice characteristics and VP characteristic preference and analyses of a brief survey of positive deviants (clinical staff in practices with high rates of encouraging patients to use the quit smoking innovation). RESULTS: A total of 146 clinical staff from 76 primary care practices interacted with the VPs. Clinic staff included medical providers (35/146, 24.0%), nurse professionals (19/146, 13.0%), primary care technicians (5/146, 3.4%), managerial staff (67/146, 45.9%), and receptionists (20/146, 13.7%). Medical staff were mostly male, and other roles were mostly female. Medical providers (OR 0.031; CI 0.003-0.281; P=.002) and younger staff (OR 0.411; CI 0.177-0.952; P=.038) were less likely to choose the younger, female VP when controlling for all other characteristics. VP preference did not influence online patient referrals by staff. In high-performing practices that referred 20 or more smokers to the ePortal (13/76), the majority of clinic staff were motivated by or liked the virtual patient (20/26, 77%). CONCLUSIONS: Medical providers are more likely motivated by VPs that are similar to their patient population, while nurses and other staff may prefer avatars that are more similar to them

Genetic region characterization (Gene RECQuest) - software to assist in identification and selection of candidate genes from genomic regions

BACKGROUND: The availability of research platforms like the web tools of the National Center for Biotechnology Information (NCBI) has transformed the time-consuming task of identifying candidate genes from genetic studies to an interactive process where data from a variety of sources are obtained to select likely genes for follow-up. This process presents its own set of challenges, as the genetic researcher has to interact with several tools in a time-intensive, manual, and cumbersome manner. We developed a method and implemented an effective software system to address these challenges by multidisciplinary efforts of professional software developers with domain experts. The method presented in this paper, Gene RECQuest, simplifies the interaction with existing research platforms through the use of advanced integration technologies. FINDINGS: Gene RECQuest is a web-based application that assists in the identification of candidate genes from linkage and association studies using information from Online Mendelian Inheritance in Man (OMIM) and PubMed. To illustrate the utility of Gene RECQuest we used it to identify genes physically located within a linkage region as potential candidate genes for a quantitative trait locus (QTL) for very low density lipoprotein (VLDL) response on chromosome 18. CONCLUSION: Gene RECQuest provides a tool which enables researchers to easily identify and organize literature supporting their own expertise and make informed decisions. It is important to note that Gene RECQuest is a data acquisition and organization software, and not a data analysis method

Share2Quit: Web-Based Peer-Driven Referrals for Smoking Cessation

BACKGROUND: Smoking is the number one preventable cause of death in the United States. Effective Web-assisted tobacco interventions are often underutilized and require new and innovative engagement approaches. Web-based peer-driven chain referrals successfully used outside health care have the potential for increasing the reach of Internet interventions. OBJECTIVE: The objective of our study was to describe the protocol for the development and testing of proactive Web-based chain-referral tools for increasing the access to Decide2Quit.org, a Web-assisted tobacco intervention system. METHODS: We will build and refine proactive chain-referral tools, including email and Facebook referrals. In addition, we will implement respondent-driven sampling (RDS), a controlled chain-referral sampling technique designed to remove inherent biases in chain referrals and obtain a representative sample. We will begin our chain referrals with an initial recruitment of former and current smokers as seeds (initial participants) who will be trained to refer current smokers from their social network using the developed tools. In turn, these newly referred smokers will also be provided the tools to refer other smokers from their social networks. We will model predictors of referral success using sample weights from the RDS to estimate the success of the system in the targeted population. RESULTS: This protocol describes the evaluation of proactive Web-based chain-referral tools, which can be used in tobacco interventions to increase the access to hard-to-reach populations, for promoting smoking cessation. CONCLUSIONS: Share2Quit represents an innovative advancement by capitalizing on naturally occurring technology trends to recruit smokers to Web-assisted tobacco interventions

Using a resource effect study pre-pilot to inform a large randomized trial: the Decide2Quit.Org Web-assisted tobacco intervention

Resource effect studies can be useful in highlighting areas of improvement in informatics tools. Before a large randomized trial, we tested the functions of the Decide2Quit.org Web-assisted tobacco intervention using smokers (N=204) recruited via Google advertisements. These smokers were given access to Decide2Quit.org for six months and we tracked their usage and assessed their six months cessation using a rigorous follow-up. Multiple, interesting findings were identified: we found the use of tailored emails to dramatically increase participation for a short period. We also found varied effects of the different functions. Functions supporting seeking social support (Your Online Community and Family Tools), Healthcare Provider Tools, and the Library had positive effects on quit outcomes. One surprising finding, which needs further investigation, was that writing to our Tobacco Treatment Specialists was negatively associated with quit outcomes