NFC-BASED ELECTRONIC DATA CAPTURE SYSTEMS - THE CASE OF A QUALITY OF LIFE QUESTIONNAIRE

In this paper, we present a Near Field Communication (NFC)-based electronic data capture prototype for patient self-reported rating scales. Such scales are valuable feedback for medical treatment and care processes. As traditional paper-based questionnaires are time- and cost-consuming and may be affected by low patient compliance, our prototype allows patient monitoring and electronic data acquisition directly from the patient\u27s home. It enables real time representation and analysis of patient data and thus allows direct medical intervention by physicians. In developing the prototype, we followed a design science approach, developed design goals for the special case of patients suffering from impaired motor skills, and tested the prototype in a field study over the course of twelve weeks. We chose NFC, as the interaction paradigm is intuitive and quickly learned, without prior knowledge being necessary. Our results indicate that NFC is almost as simple as to fill out a paper-based questionnaire. During the study patients used the prototype autonomously and with minimal errors. Further, NFC technology was perceived as very intuitive and the information quality of each patient\u27s health status could be improved. Based on the findings we derive recommendations for future research and applications of NFC based electronic data capture systems

Design and Evaluation of a Didactical Service Blueprinting Method For Large Scale Lectures

University instructors face strict economic constraints when designing lectures. Intelligent usage of IT and higher degrees of learner integration can help to face this challenge, but it is difficult to decide which parts of a lecture should be re-designed and how. Thus, we present the Didactical Service Blueprint (DSB), a method to analyze and re-design large scale learning services with reasonable resources by integrating eLearning and peer learning activities. We have used DSB to iteratively improve an IS-lecture over the course of four years and evaluated learning success (n = 404) and satisfaction (n = 389). Results indicate that DSB is suitable to improve lectures considering reasonable consumption of resources. As theoretical contribution, this paper offers an advancement and adaptation of the traditional Service Blueprint explicitly designed for large scale learning services. The practical contribution lies in the application of DSB to develop solutions for common problems in large courses

ENGINEERING KNOWLEDGE-INTENSE, PERSONORIENTED SERVICES – A STATE OF THE ART ANALYSIS

This paper provides a state-of-the-art analysis of service engineering (SE) approaches for knowledgeintense person-oriented (KIPO) services, focussing on IT-enabled provision of such services. Key attributes are derived that distinguish KIPOs from other services. These attributes are integrated in a framework with regard to their applicability on KIPOs development and used for a systematic literature review. KIPOs are of high economic relevance, yet they are laggards in terms of realization of IT potentials. As the most value-creating activities in service provision are bound to persons or personal knowledge, KIPOs design is complicated. The analysis reveals several gaps in SE research. In particular, identified shortcomings of existent approaches are an insufficient level of detail, i.e. no concrete actions or methods for deployment are described, a lack of practical corroboration as well as insufficient IT support. Further, current approaches are not sufficiently equipped to handle the interplay between people-bound activities and technical components. This paper contributes to IS research by clearly identifying these gaps in SE methods. It further provides researchers with ideas for future research activities and guides practitioners in selecting methods that serve as candidates to be integrated into KIPOs development in order to leverage IT potentials more systematically and efficiently

Productivity of Telemedical Services: A State of the Art Analysis of Input and Output Factors

Peters C, Drees A, Leppert F, et al. Productivity of Telemedical Services: A State of the Art Analysis of Input and Output Factors. In: Ganz W, Kicherer F, Schletz A, eds. Productivity of services NextGen : beyond output/input ; RESER 2011, conference proceedings, September 8th - 9th 2011, Hamburg, Germany. Stuttgart: Fraunhofer-Verl.; 2011

Electronic Data Capture in Healthcare-NFC as Easy Way for Self-Reported Health Status Information. Health Policy Technol

This article appeared in a journal published by Elsevier. The attached copy is furnished to the author for internal non-commercial research and education use, including for instruction at the authors institution and sharing with colleagues. Other uses, including reproduction and distribution, or selling or licensing copies, or posting to personal, institutional or third party websites are prohibited. Abstract We present an electronic data capture (EDC) system based on Near Field Communication (NFC). NFC is an easy way for self-reporting of health status information. As traditional paper-based questionnaires are time-and cost-consuming and may be affected by low patient compliance, our EDC system allows patient monitoring and electronic data acquisition directly from the patient's home. It enables real time representation and analysis of patient data and thus allows direct medical intervention by physicians. The results of a field test indicate that NFC is almost as simple as filling out a paper-based questionnaire. During the study patients used the prototype autonomously and with minimal errors. Further, NFC technology was perceived as very intuitive and the information quality of each patient's health status could be improved. Based on the findings we derive recommendations for future research and applications of NFC based electronic data capture systems

Data from: Detection of human disease conditions by single-cell morpho-rheological phenotyping of blood

Blood is arguably the most important bodily fluid and its analysis provides crucial health status information. A first routine measure to narrow down diagnosis in clinical practice is the differential blood count, determining the frequency of all major blood cells. What is lacking to advance initial blood diagnostics is an unbiased and quick functional assessment of blood that can narrow down the diagnosis and generate specific hypotheses. To address this need, we introduce the continuous, cell-by-cell morpho-rheological (MORE) analysis of diluted whole blood, without labeling, enrichment or separation, at rates of 1,000 cells/sec. In a drop of blood we can identify all major blood cells and characterize their pathological changes in several disease conditions in vitro and in patient samples. This approach takes previous results of mechanical studies on specifically isolated blood cells to the level of application directly in blood and adds a functional dimension to conventional blood analysis