Information and Knowledge Management using ArcGIS ModelBuilder

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A. Arviansyah, Egon Berghout and Chee-Wee Tan Through this medical treatment, ICT should have significant role in increasing the patient’s Quality of life (QOL). The graphs show that Satisfaction, Usability and Organisation have lower importance when frequency is omitted from the analysis (Figure 8). Conversely, Quality of life (QOL) and Human category emerge as important evaluative dimensions (Figure 8). From the difference analysis (Figure 9), it seems that many researchers used Medical outcome and Cost related category to evaluate ICT investments; however, these two dimensions get lower ranking of importance when frequency is omitted from the analysis. Medical outcome is a well-establish evaluative dimension to evaluate medical intervention such as the new introduction of new drugs or new medical treatment. It is possible that this phenomenon is caused by the progression of evaluation method. Likewise, the cost related as evaluative dimension is frequently mentioned in many researches. A possible explanation to this phenomenon is that the importance of cost is highly recognised; however, specific cost such as adverse drug event (ADE) is more difficult to measure. Moreover, there is also a possibility that many healthcare organisations are government funded institutions. Organisation, human, and technology perspective emerged as important dimensions which show the potential direction of evaluating ICT in healthcare. The complete set of evaluative dimensions for general type of ICT and healthcare setting are Usage, Satisfaction, Time related, Usability, Data or information quality, Organisation, Quality of life (QOL), Human and Technology. 5.4 Distinctive contextual characteristics of the healthcare sector The healthcare service is highly related to the well being of patients as the customers, which make the outcome is less predictable. Patient’s safety should then be the foremost concern for healthcare organizations. Patient’s safety is accomplished by both minimising errors and adverse effects and enhancing medication processes. Sistrom (2005) described healthcare as a labour-intensive sector where by the work process is more cognitive than physical. This process, which involves patients together with patient families, medical professions and administrative personnel, creates a complex, a highly structured and quite a heterogeneous culture. Therefore, Sistrom (2005) argued that ICT tends to disrupt existing social structure as well as established clinical practice and core work process by reengineering the cognitive process and the social structure of the healthcare profession. This problem will lead to dissatisfaction and resistance. An example of resistance occurring in a university medical centre was presented by Lorenzi et al. (1997). The new technology encountered challenges as it disturbed and forced changes to established processes and practice routines. That is, medical staff sees the technology as the enforcement of will and value by the management. The healthcare sector is considered a complex and a multi-stakeholder environment with a split decision-making organisation. Lorenzi et al. (1997) mentioned several reasons why healthcare is a complex service organisation. Based on Mintzberg’s type of organisations, they argued that the healthcare organisation is a combination of a federal structure (i.e. homogenous with regional unit), a machine bureaucracy (i.e. top formal process controlled), a professional bureaucracy (i.e. autonomously professional activities with professional value and culture controlled), and a networked organisation (i.e. independent individuals and sub-organisations that link each other for a certain objective or task) (see also Southon et al, 1999). The healthcare sector is also encouraged to share knowledge due to the knowledge intensive characteristic of the organisation. The knowledge sharing in a knowledge intensive environment will support better decision making among medical professions in one organisation and between organisations in the healthcare sector. Evaluating healthcare information system through an enterprise perspective will encounter difficulties in this multi-stakeholder environment (Connell and Young, 2007). 6. Conclusions and recommendations A gradual progression from conventional standard of RCT to mixed-methods and triangulation indicates a trend and growing demand for multidisciplinary ICT evaluation frameworks. There is a challenge to build more robust and comprehensive evaluation process. One alternative way is by 62
A. Arviansyah, Egon Berghout and Chee-Wee Tan incorporating a multidisciplinary team of evaluator which might reveal diverse insight as well as enrich the understanding of healthcare contextual situation. Determination of success and failure in ICT investment project would depend on how stakeholders define their needs and perceptions of the technology and how evaluator elicits them by using the evaluative dimensions. Therefore, evaluator should clearly identify the key stakeholders as well as utilize proper evaluative dimensions. The identified stakeholders and evaluative dimensions in this study represent the core elements to be incorporated into ICT evaluations in healthcare such that evaluations can be undertaken in an informative and purposeful fashion. Furthermore, as the distinctive contextual characteristics of the healthcare sector might influence organizations’ choice of evaluation constructs and measurement methods, future investigations are needed to decipher their impact on ICT evaluations in healthcare. References Ammenwerth, E., Brender, J., Nykanen, P., Prokosch, H.-U., Rigby, M. & Talmon, J. 2004. Visions And Strategies To Improve Evaluation Of Health Information Systems. Reflections And Lessons Based On The His-Eval Workshop In Innsbruck. International Journal Of Medical Informatics, 73, 479-491. Ammenwerth, E. & De Keizer, N. 2005. An Inventory Of Evaluation Studies Of Information Technology In Health Care Trends In Evaluation Research 1982-2002. Methods Of Information In Medicine, 44, 44-56. Ammenwerth, E., Graber, S., Herrmann, G., Burkle, T. & Konig, J. 2003. Evaluation Of Health Information Systems-Problems And Challenges. International Journal Of Medical Informatics, 71, 125-135. Anderson, J. G. & Aydin, C. E. 2005. Evaluating The Organizational Impact Of Healthcare Information Systems, Springer Verlag. Apkon, M., Mattera, J. A., Lin, Z., Herrin, J., Bradley, E. H., Carbone, M., Holmboe, E. S., Gross, C. P., Selter, J. G., Rich, A. S. & Krumholz, H. M. 2005. A Randomized Outpatient Trial Of A Decision-Support Information Technology Tool. Archives Of Internal Medicine, 165, 2388-2394. Berg, M. 2004. Health Information Management: Integrating Information Technology In Health Care Work, Routledge. Berghout, E. W. 1997. Evaluation Of Information System Proposals: Design Of A Decision Support Method. Doctoral Dissertation Delft University Of Technology, Delft University Of Technology. Beuscart-Zephir, M.-C., Anceaux, F. O., Menu, H., Guerlinger, S., Watbled, L. & Evrard, F. 2005. User-Centred, Multidimensional Assessment Method Of Clinical Information Systems: A Case-Study In Anaesthesiology. International Journal Of Medical Informatics, 74, 179-189. Braaksma, J., Commandeur, A. & Berghout, E. 2006. The Business Case For (Ict) Investment Evaluation In Nonprofit Organisations. Proceedings Of The 13th European Conference On Information Technology Evaluation. Cantwell, J., Gambardella, A. & Granstrand, O. 2004. The Economics And Management Of Technological Diversification, Routledge. Cariello, F. P. 2003. Computerized Telephone Nurse Triage. An Evaluation Of Service Quality And Cost. The Journal Of Ambulatory Care Management, 26, 124-137. Christensen, M. C. & Remler, D. 2009. Information And Communications Technology In U.S. Health Care: Why Is Adoption So Slow And Is Slower Better? Journal Of Health Politics Policy And Law, 34, 1011-1034. Connell, N. A. D. & Young, T. P. 2007. Evaluating Healthcare Information Systems Through An "Enterprise" Perspective. Information & Management, 44, 433-440. De Keizer, N. F. & Ammenwerth, E. 2008. The Quality Of Evidence In Health Informatics: How Did The Quality Of Healthcare It Evaluation Publications Develop From 1982 To 2005? International Journal Of Medical Informatics, 77, 41-49. Farbey, B., Land, F. & Targett, D. 1993. How To Assess Your It Investment: A Study Of Methods And Practice, Butterworth-Heinemann. Friedman, C. P. & Wyatt, J. C. 2006. Evaluation Methods In Medical Informatics, Springer. Fung, C. H. 2006. Computerized Condition-Specific Templates For Improving Care Of Geriatric Syndromes In A Primary Care Setting. Journal Of General Internal Medicine: Official Journal Of The Society For Research And Education In Primary Care Internal Medicine, 21, 989-994. Goodman, C. S. & Ahn, R. 1999. Methodological Approaches Of Health Technology Assessment. International Journal Of Medical Informatics, 56, 97-105. Guba, E. G. & Lincoln, Y. S. 1981. Effective Evaluation, Jossey-Bass Inc Pub. Harison, E. & Berghout, E. 2006. Measuring The Effects Of Information Systems On The Performance Of Operating Rooms (Or). Centre Of It Economics Research. Groningen, The Netherlands: University Of Groningen. Hogbin, G. & Thomas, D. V. 1994. Investing In Information Technology: Managing The Decision-Making Process, London; New York: Mcgraw-Hill. Kaplan, B. 1997. Addressing Organizational Issues Into The Evaluation Of Medical Systems. Journal Of The American Medical Informatics Association, 4, 94. 63
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Proceedings of the 5th European Con
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Contents Paper Title Author(s) Page
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Paper Title Author(s) Page No. Cont
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Preface The 5th European Conference
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Dr Jorge Ricardo da Costa Ferreira
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LSE while working at the British St
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Minna Isomursu, PhD, is a research
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Elmarie Papageorgiou is a Senior Le
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Information and Knowledge Managemen
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João Agrela et al. So modeling bec
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João Agrela et al. ETRS 89 project
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João Agrela et al. (accidents) tha
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Figure 8: Final model João Agrela
Page 27 and 28: João Agrela et al. outputs and res
Page 29 and 30: System Integration Model Based on O
Page 31 and 32: Kamsuriah Ahmad, Azwan Mohamed and
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Page 35 and 36: Building Virtual Communities on top
Page 37 and 38: Cuneyt Gurcan Akcora, Barbara Carmi
Page 43 and 44: References Cuneyt Gurcan Akcora, Ba
Page 45 and 46: Karen Anderson, Göran Samuelsson a
Page 53 and 54: Developing a Model for Assessing IT
Page 55 and 56: Mohammad Abooyee Ardakan et al. Fig
Page 57 and 58: Mohammad Abooyee Ardakan et al. cor
Page 59 and 60: Investigating the Relationship of M
Page 61 and 62: Mohammad Abooyee Ardakan, Babak Soh
Page 67 and 68: Table 3: Goodness of fit indices Mo
Page 69 and 70: Evaluation of ICT Investment in Hea
Page 71 and 72: Figure 1: Search strategy for syste
Page 73 and 74: A. Arviansyah, Egon Berghout and Ch
Page 75 and 76: Managerial A. Arviansyah, Egon Berg
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Page 81 and 82: The Uses of Business Outcomes for I
Page 83 and 84: Dawit Asmelash Measurability of th
Page 85 and 86: Dawit Asmelash affected business pr
Page 87 and 88: Business Units HR Sales Step 2 Iden
Page 89 and 90: Dawit Asmelash In this case, at thi
Page 91 and 92: Data Governance in Practice: The SM
Page 93 and 94: Carolyn Begg and Tom Caira Our rese
Page 95 and 96: Carolyn Begg and Tom Caira In the f
Page 97 and 98: Carolyn Begg and Tom Caira Decision
Page 99 and 100: Carolyn Begg and Tom Caira SMEs nee
Page 101 and 102: Fergal Carton et al. The language u
Page 103 and 104: Fergal Carton et al. 2008) to abstr
Page 105 and 106: Payment integration (payment produc
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Page 109 and 110: Walter Castelnovo devised for, have
Page 111 and 112: Walter Castelnovo the potential ris
Page 113 and 114: Walter Castelnovo allow the informa
Page 115 and 116: Walter Castelnovo Risk assessment,
Page 117 and 118: Embedding Human Values Into Informa
Page 119 and 120: Sunil Choenni, Peter van Waart and
Page 125 and 126: Evaluating the Role and Potential o
Page 127 and 128: Renata Paola Dameri For these reaso
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Final assessment and evaluation. Re
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Renata Paola Dameri STRATEGIC GOALS
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Renata Paola Dameri To clearly com
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ICT and PA: A Marriage Made in Heav
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Maria Concetta De Vivo, Alberto Pol
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Jan Devos, Hendrik Van Landeghem an
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References Jan Devos, Hendrik Van L
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Luciana Duranti and Adam Jansen Dig
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Luciana Duranti and Adam Jansen A
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References Luciana Duranti and Adam
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Kate Dymoke-Bradshaw and Ann Brown
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Graham Fletcher and Marie Cahillane
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How Open Source Software Products:
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Chiara Friso, Valentina Lenarduzzi,
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Il giornale elettronico (Trivella,
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Yuwanuch Gulatee and Barbara Combes
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Table 1: Wholly online participants
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Florian Hamel, Thomas Ph. Herz, Fal
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Martin Hill, John Salt and Graham F
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Transforming Information to Knowled
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Vered Holzmann and Ben Holzmann Tot
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Vered Holzmann and Ben Holzmann kno
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Vered Holzmann and Ben Holzmann Prz
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Grant Howard and Sam Lubbe High-lev
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3. Theoretical discussion 3.1 Green
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Grant Howard and Sam Lubbe 3.6 Envi
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Grant Howard and Sam Lubbe Easterbr
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Evaluating ICT Based Services for O
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Minna Isomursu and Marja Harjumaa t
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4.2 Challenges with research method
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Minna Isomursu and Marja Harjumaa b
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The Geography of Criminality - Info
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Intelligence Paulo João, Jorge Fer
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4.1 Crime hot-spots Paulo João, Jo
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Paulo João, Jorge Ferreira and Jos
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Mobile Virtual Network Operator Inf
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Hallur Leivsgarð Joensen and Torbe
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Björn Johansson and Linda Bergkvis
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A Fair Partnership Model by Sharing
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Ghassan Kbar 2. Partnership and VC
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Ghassan Kbar Entering state of the
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Ghassan Kbar Saudi-chamber, (2011)
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Ghassan Kbar and Abdul Aziz AlDusar
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Dong-Hyun Kim and Hyun-Joo Kim We i
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Dong-Hyun Kim and Hyun-Joo Kim As a
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Dong-Hyun Kim and Hyun-Joo Kim We m
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Erdem Kirkbesoglu and Gizem Ogutcu
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Portfolio Management in Non-Profit
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Bert Kleersnijder and Egon Berghout
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Why is an IS Project Late? - A Case
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2. The project 2.1 Background and r
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Juha Kontio Phase In stallation Ope
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Table 2: Identified reason of the p
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Juha Kontio There are also reasons
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2. Performance review model for NDP
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Misoo Kwon Among the review indicat
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Type Average time saved Misoo Kwon
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Luigi Lavazza In conclusion, when a
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Luigi Lavazza The former can be de
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Luigi Lavazza For each process, we
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6. Conclusions Luigi Lavazza When e
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eBusiness Model Design and Evaluati
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Monika Magnusson categories of busi
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Monika Magnusson Business Model Ele
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5.2 Guiding questions Monika Magnus
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Monika Magnusson Hay, M. and Kamsha
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Monika Magnusson and Marie-Therese
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4.3 Goals at the project level Moni
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Alignment in Enterprise Architectur
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Thanos Magoulas, Aida Hadzic, Ted S
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3.4 Infological alignment Thanos Ma
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Panagiotis Manolitzas et al. to Gov
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Panagiotis Manolitzas et al. Anothe
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Table 1: Criteria weights and satis
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Panagiotis Manolitzas et al. Satisf
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Understanding the Impact of Knowled
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Magdeline Mashilo and Tiko Iyamu Ac
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Magdeline Mashilo and Tiko Iyamu Cu
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Magdeline Mashilo and Tiko Iyamu Th
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Magdeline Mashilo and Tiko Iyamu Ho
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2. Literature review 2.1 The Batik
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Nor Laila Md Noor and Ariza Nordin
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Nor Laila Md Noor and Ariza Nordin
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Isolated Strategies Nor Laila Md No
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HOT-fit Evaluation Framework: Valid
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Maryati Mohd Yusof In order to vali
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Maryati Mohd Yusof Further framewor
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Maryati Mohd Yusof Kaplan, B., and
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Gunilla Myreteg social context (Orl
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Gunilla Myreteg needed routine. Ano
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Gunilla Myreteg used, which in turn
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Environmental Scanning Practice of
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Roslina Othman and Siti Rohimi Hame
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5. Conclusion Roslina Othman and Si
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Understanding Financial and non-Fin
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Elmarie Papageorgiou and Herman de
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Type of non-financial information a
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Shabnam Pasandide, Abbas Toloie Esh
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Can eGovernment Systems Bridge the
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Higher quality of services Elias Pi
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Elias Pimenidis, Lazaros Iliadis, a
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Elias Pimenidis, Lazaros Iliadis, a
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Contributions to the Measurement an
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Rui Alexandre Pires and Maria do C
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assessment Rui Alexandre Pires and
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Rozilawati Razali and Mahamsiatus K
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Figure 1: Research design 3.2 Phase
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David Sammon, Tadhg Nagle and John
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Teresa Santos, Ségio Freire and Jo
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Reflections on the Role of the Lect
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3. Reflective practice Elsje Scott,
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Elsje Scott, Peter Weimann and Nata
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Elena Serova traditional ERP manage
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Elena Serova Increase in percentag
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9. Conclusion Elena Serova At prese
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Sharina Tajul Urus, Alemayehu Molla
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4.2 Description of feral systems Sh
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Sharina Tajul Urus, Alemayehu Molla
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Type Sharina Tajul Urus, Alemayehu
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Open Source Disease Control Softwar
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Jose Teixeira and Reima Suomi do no
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Jose Teixeira and Reima Suomi from
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Jose Teixeira and Reima Suomi Futur
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Value of Knowledge Management Syste
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Nelly Todorova Human capital repres
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Nelly Todorova IT value from pure f
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Nelly Todorova unique and inimitabl
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Accountability and the Reconstructi
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Geert-Jan van Bussel cluding the pr
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Geert-Jan van Bussel (e.g., Wijnhov
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Geert-Jan van Bussel complementary,
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The Question of Selecting Appropria
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Bartosz Wachnik We can discern two
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Bartosz Wachnik Table 1: Criteria o
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Tasks in an ERP implementation proj
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Bartosz Wachnik Tests’ recapitul
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PhD Research Papers 501
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Information Systems for Production
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Denisa Ferenčíková 3. Correctly
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Denisa Ferenčíková method requir
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Denisa Ferenčíková mentioned typ
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1.2 Service oriented architecture A
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Antonio Hidalgo Landa, Ian Owens an
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Hesbon Nyagowa, Dennis Ocholla and
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The Specification of Competency Que
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Yadary Ortega-González et al. Figu
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Yadary Ortega-González et al. merg
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Yadary Ortega-González et al. Comp
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Yadary Ortega-González et al. Lysa
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Michal Pivnička to (Collis 2008),
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Figure 2: List of scorecards window
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Michal Pivnička A Custom view (fig
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Michal Pivnička necessary calculat
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Michal Pivnička combines two or mo
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Michal Pivnička When any informati
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Challenges in Business Case Develop
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Bart-Jan van Putten, Franziska Brec
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Bart-Jan van Putten and Markus Schi
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Mohamad Norzamani Sahroni and Marya
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Table 1: Type of medical error Moha
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Mohamad Norzamani Sahroni and Marya
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Non Academic Papers 577
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Management of Waiting List for Surg
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Rita Cristóvão and Pedro Gomes In
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Figure 4: Circuit of the patient in
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Rita Cristóvão and Pedro Gomes Fi
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Rita Cristóvão and Pedro Gomes ne
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Rita Cristóvão and Pedro Gomes Fi
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Rita Cristóvão and Pedro Gomes T
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Work in Progress Papers with Poster
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Information Management Enabling Col
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Maria Bergenstjerna Data will be co
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2. Methodology Giovanni Camponovo R
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Giovanni Camponovo separate concept
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Giovanni Camponovo A graphical summ
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Giovanni Camponovo 3.5 Motivations
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Giovanni Camponovo Butler, B., Spro
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An Enterprise Ontology Approach for
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Bernardo Gomes, André Vasconcelos
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Soudabeh Khodambashi and Maryati Mo
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National ICT Strategy and its Imple
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Ermelinda Kordha and As. Kozeta Sev
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João Soares, José Tribolet and An
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João Soares, José Tribolet and An
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