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  • 1.
    Andersson, Gerhard
    Linköping University, Department of Behavioural Sciences and Learning, Psychology. Linköping University, Faculty of Arts and Sciences.
    Guided internet treatment for anxiety disorders. As effective as face-to-face therapies?2012In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 181, p. 3-7Article in journal (Refereed)
    Abstract [en]

    Introduction: Guided Internet-delivered treatments were developed in the late 1990s and have since been tested in numerous controlled trials. While promising, there are yet few direct comparisons between Internet treatments and traditional face-to-face treatments. The aim of the present study is to present an overview of the evidence in the field of anxiety disorders. Method: Studies were located, including unpublished trials from our research group in Sweden. Results: Results of direct comparative trials on panic disorder (n=3) and social anxiety disorder (n=3) show equivalent outcomes. One study on specific phobia did not show equivalent outcomes with an advantage for face-to-face treatment. However, a systematic review by Cuijpers et al. (2010) found equivalent outcomes across several self-help formats, suggesting that guided self-help overall can be as affective as face-to-face treatments. Conclusion: Overall, there are still few large-scale trials and statistical power is often limited. A preliminary conclusion is that guided Internet treatment can be as effective as face-to-face treatments, but there is a need to investigate moderators and mediators of the outcome.

  • 2.
    Ask, Per
    et al.
    Linköping University, Department of Biomedical Engineering, Physiological Measurements. Linköping University, The Institute of Technology.
    Ekstrand, Kristina
    Katrineholm City, Sweden.
    Hult, Peter
    Linköping University, Department of Biomedical Engineering, Physiological Measurements. Linköping University, The Institute of Technology.
    Lindén, Maria
    Mälardalen University, Västerås, Sweden.
    Pettersson, Nils-Erik
    Örebro County Council, Sweden.
    NovaMedTech - a regional program for supporting new medical technologies in personalized health care2012In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 177, p. 71-5Article in journal (Refereed)
    Abstract [en]

    NovaMedTech is an initiative funded from EU structural funds for supporting new medical technologies for personalized health care. It aims at bringing these technologies into clinical use and to the health care market. The program has participants from health care, industry and academia in East middle Sweden. The first three year period of the program was successful in terms of product concepts tried clinically, and number of products brought to a commercialization phase. Further, the program has led to a large number of scientific publications. Among projects supported, we can mention: Intelligent sensor networks; A digital pen to collect medical information about health status from patients; A web-based intelligent stethoscope; Methodologies to measure local blood flow and nutrition using optical techniques; Blood flow assessment from ankle pressure measurements; Technologies for pressure ulcer prevention; An IR thermometer for improved accuracy; A technique that identifies individuals prone to commit suicide among depressed patients; Detection of infectious disease using an electronic nose; Identification of the lactate threshold from breath; Obesity measurements using special software and MR camera; and An optical probe guided tumor resection. During the present three years period emphasis will be on entrepreneurial activities supporting the commercialization and bringing products to the market.

  • 3.
    Gharehbaghi, Arash
    et al.
    Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering.
    Babic, Ankica
    Linköping University, Department of Biomedical Engineering, Division of Biomedical Engineering. Linköping University, Faculty of Science & Engineering. Department of Information Science and Media Studies, University of Bergen, Norway.
    A-Test Method for Quantifying Structural Risk and Learning Capacity of Supervised Machine Learning Methods2022In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 289, p. 132-135Article in journal (Refereed)
    Abstract [en]

    This paper presents an original method for studying the performance of the supervised Machine Learning (ML) methods, the A-Test method. The method offers the possibility of investigating the structural risk as well as the learning capacity of ML methods in a quantitating manner. A-Test provides a powerful validation method for the learning methods with small or medium size of the learning data, where overfitting is regarded as a common problem of learning. Such a condition can occur in many applications of bioinformatics and biomedical engineering in which access to a large dataset is a challengeable task. Performance of the A-Test method is explored by validation of two ML methods, using real datasets of heart sound signals. The datasets comprise of children cases with a normal heart condition as well as 4 pathological cases: aortic stenosis, ventricular septal defect, mitral regurgitation, and pulmonary stenosis. It is observed that the A[1]Test method provides further comprehensive and more realistic information about the performance of the classification methods as compared to the existing alternatives, the K-fold validation and repeated random sub-sampling.

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  • 4.
    Gharehbaghi, Arash
    et al.
    Department of Biomedical Engineering, Linköping University, Linköping, Sweden.
    Partovi, Elaheh
    Department of Electrical Engineering, Amir Kabir University, Tehran, Iran.
    Babic, Ankica
    Department of Biomedical Engineering, Linköping University, Linköping, Sweden;Department of Information Science and Media Studies, University of Bergen, Norway.
    Recurrent vs Non-Recurrent Convolutional Neural Networks for Heart Sound Classification2023In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365Article in journal (Refereed)
    Abstract [en]

    Convolutional Neural Network (CNN) has been widely proposed for different tasks of heart sound analysis. This paper presents the results of a novel study on the performance of a conventional CNN in comparison to the different architectures of recurrent neural networks combined with CNN for the classification task of abnormal-normal heart sounds. The study considers various combinations of parallel and cascaded integration of CNN with Gated Recurrent Network (GRN) as well as Long- Short Term Memory (LSTM) and explores the accuracy and sensitivity of each integration independently, using the Physionet dataset of heart sound recordings. The accuracy of the parallel architecture of LSTM-CNN reached 98.0% outperforming all the combined architectures, with a sensitivity of 87.2%. The conventional CNN offered sensitivity/accuracy of 95.9%/97.3% with far less complexity. Results show that a conventional CNN can appropriately perform and solely employed for the classification of heart sound signals.

  • 5.
    Hucíková, Anežka
    et al.
    Department of Information Science and Media Studies, University of Bergen, Bergen, Norway.
    Babic, Ankica
    Department of Information Science and Media Studies, University of Bergen, Bergen, Norway;Department of Biomedical Engineering, Linköping University, Linköping, Sweden.
    User Needs of Young Czech Adults with Multiple Sclerosis in a Lifestyle App Design2023In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365Article in journal (Refereed)
    Abstract [en]

    This paper presents a study that examined desired functionality, content, and design of a mobile application for young Czech adults living with Multiple Sclerosis (MS). The study was structured around a high-fidelity prototype developed for the corresponding user group in Norway. Both groups were active on social media and willing to contribute to designing an application promoting a healthy lifestyle and well-being. Adopting the content analysis, the study first compared the social content shared within the Facebook communities in the Norwegian and Czech user groups that were active. Regardless of the similarities, the Czech group expected that solutions regarding main functionalities and content should stand out from other competitive applications offered on the market. Most of all, they would like to see healthcare staff being engaged in content creation by providing credible information, especially regarding new treatments and clinical trials. Enhanced interaction between all the stakeholders (patients, and healthcare providers) would add value and relevance to the content already provided by social media.

  • 6.
    Karlsson, Daniel
    Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.
    A design and prototype for a decision-support system in the field of urinary tract infections: application of openGALEN techniques for indexing medical information2001In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 84, no 1, p. 479-483Article in journal (Refereed)
    Abstract [en]

    Differences in expert and end-user contexts may be detrimental to the use of decision-support systems. A way to attend to this problem is to triangulate decision-support methods and information sources such as in the case of the expertext system model. To organize the information contained in the system, a common domain model is suggested as a instrument for annotating information. In this paper, a design and a prototype for a decision-support system in the field of urinary tract infections using techniques and methods developed in the GALEN projects is presented.

  • 7.
    Karlsson, David
    et al.
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, The Institute of Technology.
    Ekberg, Joakim
    Linköping University, Department of Medical and Health Sciences, Division of Community Medicine. Linköping University, Faculty of Health Sciences.
    Spreco, Armin
    Linköping University, Department of Medical and Health Sciences, Division of Community Medicine. Linköping University, Faculty of Health Sciences.
    Eriksson, Henrik
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, The Institute of Technology.
    Timpka, Toomas
    Linköping University, Department of Medical and Health Sciences, Social Medicine and Public Health Science. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Center for Health and Developmental Care, Center for Public Health.
    Visualization of infectious disease outbreaks in routine practice2013In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 192, p. 697-701Article in journal (Refereed)
    Abstract [en]

    Throughout the history of epidemiology, visualizations have been used as the interface between public-health professionals and epidemiological data. The aim of this study was to examine the impact of the level of abstraction when using visualizations on routine infectious disease control. We developed three interactive visualization prototypes at increasing levels of abstraction to communicate subsets of influenza outbreak surveillance information. The visualizations were assessed through workshops in an exploratory evaluation with infectious disease epidemiologists. The results show that despite the potential of processed, abstract, and information-dense representations, increased levels of abstraction decreased epidemiologists understanding and confidence in visualizations. Highly abstract representations were deemed not applicable in routine practice without training. Infectious disease epidemiologists work routines and decision-making need to be further studied in order to develop visualizations that meet both the quality requirements imposed by policy-makers and the contextual nature of work practice.

  • 8.
    Lidström, Helene
    et al.
    Linköping University, Department of Social and Welfare Studies, Division of Health, Activity and Care. Linköping University, Faculty of Medicine and Health Sciences.
    Lindskog-Wallander, Magnus
    Health and Habilitation Centre, Uppsala County Council, Uppsala, Sweden..
    Arnemo, Eva
    Health and Habilitation Centre, Uppsala County Council, Uppsala, Sweden..
    Using a Participatory Action Research Design to Develop an Application Together with Young Adults with Spina Bifida2015In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 217, p. 189-194Article in journal (Refereed)
    Abstract [en]

    INTRODUCTION: Young adults with spina bifida often have cognitive difficulties. As a result, young adults with disabilities are facing challenges with respect to housing, education, relationships and vocation which increases risk of unemployment.

    AIM: The aim is to describe a method to develop a smartphone application together with young adults with spina bifida as an assistive technology for cognition.

    METHOD: In a Participatory Action Research approach, young adults (n = 5) with spina bifida were individually interviewed with Canadian Occupational Performance Measure (COPM). The participants' restrictions in everyday life activities, identified by COPM, were discussed in a focus group formed by the young adults and the result was analyzed using qualitative content analysis. Developing the application the principles of Human-Centered-Design and Universal Design was followed.

    RESULT: An application made for iOS with a focus on usability and worthiness, done by creating a clear and intuitive interface, with a calendar function useful for example to initiate and plan social activities was developed.

    CONCLUSION: The method seems useful when the outcome from the project, a beta version of an application for iOS Smartphone, was achieved in agreement with the participants. The study highlight the importance of involving individuals with disabilities when developing smartphone applications.

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  • 9.
    Lind, Leili
    Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.
    Evaluation of the Use of Digital Pens for Pain Assessment in Palliative Home Healthcare2008In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 136, p. 101-106Article in journal (Refereed)
    Abstract [en]

    An information system supporting pain assessment in palliative home healthcare was implemented at the hospital-based home care clinic of University Hospital in Linkoping, Sweden. Using digital pens and pain diaries, pain assessments were sent from the patients home to the professional caregiver. A total of 12 patients participated in the study. Patients, spouses and professional caregivers were interviewed. Qualitative content analyses were performed on the study material. All patients managed to use the pain assessment method, they experienced an improved contact with the caregivers and had a sense of increased security. After an initial cautious outlook the caregivers experienced positive outcomes for themselves and their patients. The medical records showed that the method had had impact on treatment. In conclusion, the home healthcare solution provided an effortless method for pain assessment with a high degree of user acceptance for palliative patients and had positive influences on the care.

  • 10.
    Lind, Leili
    et al.
    Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.
    Karlsson, Daniel
    Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.
    Digital pen-based telemonitoring of elderly heart failure patients2013In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 192, p. 1062-1062Article in journal (Refereed)
    Abstract [en]

    Considering that a majority of elderlies are non-users of computers and Internet we developed a telemonitoring system for elderly heart failure (HF) home care patients based on digital pen technology - a technology never used before by this patient group. We implemented the system in clinical use in a 13 months long study. Fourteen patients (mean/median age 84 years) with severe HF participated. They accepted the technology and performed daily reports of their health state using the digital pen and a Health Diary form. Via the system the clinicians detected all HF-related deteriorations at an early stage and thereby prevented hospital re-admissions for all patients during the study, implying improved symptom control and large cost savings.

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  • 11.
    Ngugi, Philomena N
    et al.
    University of Bergen, Norway.
    Gesicho, Milka B
    University of Bergen, Norway.
    Babic, Ankica
    Linköping University. University of Bergen, Norway.
    Impact of Electronic Medical Records Systems in Reporting HIV Health Data Indicators in Kenya.2022In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 294, p. 234-238Article in journal (Refereed)
    Abstract [en]

    Electronic Medical Records Systems (EMRs) improve the quality of patient care and reduce medical errors. Nevertheless, their role in health data indicator reporting performance is unclear. We assessed reporting completeness and timeliness of HIV indicator data to the national aggregate reporting system, District Health Information Software 2 (DHIS2) in Kenya. We compared the reporting performance of facilities with and without EMRs implementation for the year 2013 as EMRs uptake was in progress. The comparative analysis involved 104 facilities implemented with and 152 without KenyaEMR system on three HIV programmatic areas. There were no statistically significant differences in performance regarding reporting completeness and timeliness by facilities with or without EMRs (p-values > 0.05 on all the three areas). The KenyaEMR system assessed in this study, therefore, cannot be associated with the transformed performance in reporting health indicators. This was probably due to the fact that the EMRs do not report electronically to DHIS2. Additional analysis can be conducted to compare reporting performance once data exchange functionality is fully established between KenyaEMR and DHIS2 systems.

  • 12.
    Razavi, Amir Reza
    et al.
    Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.
    Gill, Hans
    Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.
    Åhlfeldt, Hans
    Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.
    Shahsavar, Nosrat
    Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, The Institute of Technology.
    A Data Mining Approach to Analyze Non-compliance with a Guideline for the Treatment of Breast Cancer2007In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 129, p. 591-597Article in journal (Refereed)
    Abstract [en]

    Postmastectomy radiotherapy (PMRT) is prescribed in order to reduce the local recurrence of breast cancer and improve overall survival. A guideline supports the trade-off between benefits and adverse effects of PMRT. However, this guideline is not always followed in practice. This study tries to find a method for revealing patterns of non-compliance between the actual treatment and the PMRT guideline.

    Data from breast cancer patients admitted to Linköping University Hospital between 1990 and 2000 were analyzed in this study. Cases that were not treated in accordance with the guideline were selected and analyzed by decision tree induction (DTI). Thereafter, four resulting rules, as representations for groups of patients, were compared to the guideline.

    Finding patterns of non-compliance with guidelines by means of rules can be an appropriate alternative to manual methods, i.e. a case-by-case comparison when studying very large datasets. The resulting rules can be used in a knowledge base of a guideline-based decision support system to alert when inconsistencies with the guidelines may appear.

  • 13.
    Scandurra, Isabella
    et al.
    APRI|eHealth AB, Örnsköldsvik, Sweden.
    Forsell, Camilla
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Ynnerman, Anders
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology. Linköping University, Center for Medical Image Science and Visualization (CMIV).
    Ljung, Patric
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology.
    Lundström, Claes
    Linköping University, Department of Science and Technology, Visual Information Technology and Applications (VITA). Linköping University, The Institute of Technology. Linköping University, Center for Medical Image Science and Visualization (CMIV).
    Persson, Anders
    Linköping University, Department of Medical and Health Sciences, Radiology. Linköping University, Faculty of Health Sciences. Linköping University, Center for Medical Image Science and Visualization (CMIV). Östergötlands Läns Landsting, Center for Diagnostics, Department of Radiology in Linköping.
    Advancing the state-of-the-art for Virtual Autopsies--initial forensic workflow study2010In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 160, p. 639-643Article in journal (Refereed)
    Abstract [en]

    There are numerous advantages described of how imaging technology can support forensic examinations. However, postmortem examinations of bodies are mainly performed to address demands which differ from those of traditional clinical image processing. This needs to be kept in mind when gathering information from image data sets for forensic purposes. To support radiologists and forensic clinicians using Virtual Autopsy technologies, an initial workflow study regarding post-mortem imaging has been performed, aiming to receive an improved understanding of how Virtual Autopsy workstations, image data sets and processes can be adjusted to support and improve conventional autopsies. This paper presents potential impacts and a current forensic Virtual Autopsy workflow aiming to form a foundation for collaborative procedures that increase the value of Virtual Autopsy. The workflow study will provide an increased and mutual understanding of involved professionals. In addition, insight into future forensic workflows based on demands from both forensic and radiologist perspectives bring visualization and medical informatics researchers together to develop and improve the technology and software needed.

  • 14.
    Vimarlund, Vivian
    et al.
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, The Institute of Technology. International Business School, Jönköping University, Sweden.
    Davoody, Nadia
    Karolinska institutet, Stockholm, Sweden.
    Koch, Sabine
    Karolinska institutet, Stockholm, Sweden.
    Steps to Consider for Effective Decision Making when Selecting and Prioritizing eHealth Services2013In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 192, p. 239-243Article in journal (Refereed)
    Abstract [en]

    Making the best choice for an organization when selecting IT applications or eHealth services is not always easy as there are a lot of parameters to take into account. The aim of this paper is to explore some steps to support effective decision making when selecting and prioritizing eHealth services prior to implementation and/or procurement. The steps presented in this paper were identified by interviewing nine key stakeholders at Stockholm County Council. They are supposed to work as a guide for decision making and aim to identify objectives and expected effects, technical, organizational, and economic requirements, and opportunities important to consider before decisions are taken. The steps and their respective issues and variables are concretized in a number of templates to be filled in by decision makers when selecting and prioritizing eHealth services.

  • 15.
    Vimarlund, Vivian
    et al.
    Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, The Institute of Technology. Jönköping International Business School, Sweden.
    Le Rouge, Cynthia
    School of Public Health, Saint Louis University, Saint Louis, MO, USA.
    Barriers and opportunities to the widespread adoption of telemedicine: a bi-country evaluation2013In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 192, p. 933-933Article in journal (Refereed)
    Abstract [en]

    Recognizing that current practices for healthcare delivery are no longer sustainable, OECD governments are focusing more and more on how to leverage ICT to facilitate superior healthcare delivery. One such possibility is the use of Telemedicine. A major goal of telemedicine today is to develop next-generation telemedicine tools and technologies. However, key andquot;classicandquot; barriers continue to challenge widespread telemedicine adoption by health care organizations. These barriers include technology, financial, legal/standards, business strategy, and human resources issues. This comparative study explores the current status of barriers and opportunities to the widespread adoption of telemedicine in two different countries: Sweden, and USA.

  • 16.
    Warmerdam, Lisanne
    et al.
    VU University Amsterdam, The Netherlands.
    Riper, Heleen
    VU University Amsterdam, The Netherlands.
    Klein, Michel
    VU University Amsterdam, The Netherlands.
    van den Ven, Pepijn
    University of Limerick, Ireland.
    Rocha, Artur
    INESCP, Porto, Portugal.
    Ricardo Henriques, Mario
    INESCP, Porto, Portugal.
    Tousset, Eric
    AARDEX, Liege, Belgium.
    Silva, Hugo
    PLUX, Lisbon, Portugal.
    Andersson, Gerhard
    Linköping University, Department of Behavioural Sciences and Learning, Psychology. Linköping University, Faculty of Arts and Sciences.
    Cuijpers, Pim
    VU University Amsterdam, The Netherlands.
    Innovative ICT Solutions to Improve Treatment Outcomes for Depression: The ICT4Depression Project2012In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 181, p. 339-343Article in journal (Refereed)
    Abstract [en]

    Depression is expected to be the disorder with the highest disease burden in high-income countries by the year 2030. ICT4Depression (ICT4D) is a European FP7 project, which aims to contribute to the alleviation of this burden by making use of depression treatment and ICT innovations. In this project we developed an ICT-based system for use in primary care that aims to improve access as well as actual care delivery for depressed adults. Innovative technologies within the ICT4D system include 1) flexible self-help treatments for depression, 2) automatic assessment of the patient using mobile phone and web-based communication 3) wearable biomedical sensor devices for monitoring activities and electrophysiological indicators, 4) computational methods for reasoning about the state of a patient and the risk of relapse (reasoning engine) and 5) a flexible system architecture for monitoring and supporting people using continuous observations and feedback via mobile phone and the web. The general objective of the ICT4D project is to test the feasibility and acceptability of the ICT4D system within a pilot study in the Netherlands and in Sweden during 2012 and 2013.

  • 17.
    Ölvingson, Christina
    et al.
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    Hallberg, Niklas
    Linköping University, Department of Computer and Information Science. Linköping University, The Institute of Technology.
    Timpka, Toomas
    Linköping University, Department of Department of Health and Society. Linköping University, Faculty of Health Sciences.
    Greenes, RA
    Adaptation of the critical incident technique to requirements engineering in public health2001In: Studies in Health Technology and Informatics, ISSN 0926-9630, E-ISSN 1879-8365, Vol. 84, no 2, p. 1180-1184Article in journal (Refereed)
    Abstract [en]

    The introduction of modern information systems in public health provides new possibilities for improvements in public health services and hence also of population's health. However, development of information systems that truly supports public health practices requires that technical, cognitive, and social issues be taken into consideration. In requirements engineering for public health, a notable problem is that of capturing all aspects of the future user's voices, i.e., the viewpoints of different public health practitioners. Failing to capture these voices will result in inefficient or even useless systems. The aim of this paper is to report a requirements-engineering instrument to describe problems in the daily work of public health professionals. The issues of concern thus captured can be used as the basis for formulating the requirements of information systems for public health professionals.

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