• Analysis of patient pathways with contextual process mining 

      Rabbi, Fazle; Seyedehbahareh, Fatemivanani; Wendy, MacCaull (Journal article; Peer reviewed, 2022)
      The volume and diversity of healthcare information available through the use of modern technology offers great potential for improving health services delivery. Giving healthcare practitioners and health system administrators ...
    • A bottom up approach for synchronous user interaction design and workflow modelling 

      Barendregt, Rosaline; Lamo, Yngve; Rabbi, Fazle (Peer reviewed; Journal article, 2016)
      Traditionally, both interaction design and workflow modelling have been developed in a top down approach. The user interaction design process consist of several phases of user requirement engineering involving interviews, ...
    • Challenges and possible solutions in cross-disciplinary and cross-sectorial research teams within the domain of e-mental health 

      Nordgreen, Tine; Rabbi, Fazle; Tørresen, Jim; Skar, Yngvar Sigmund; Guribye, Frode; Inal, Yavuz; Flobak, Eivind; Wake, Jo Dugstad; Mukhiya, Suresh Kumar; Aminifar, Amin; Myklebost, Sunniva Brurok; Lundervold, Astri J.; Kenter, Robin Maria Francisca; Hammar, Åsa Karin; Kahlon, Smiti; Nordby, Emilie; Sekse, Ragnhild Johanne Tveit; Griffin, Kristine Fonnes; Jakobsen, Petter; Pham, Hoang Minh; Côté-Allard, Ulysse Teller Masao; Noori, Farzan Majeed; Lamo, Yngve (Journal article; Peer reviewed, 2021)
      Purpose: Mental illness presents a huge individual, societal and economic challenges, currently accounting for 20% of the worldwide burden of disease. There is a gap between the need for and access to services. Digital ...
    • Evaluating the Effectiveness of GPT Large Language Model for News Classification in the IPTC News Ontology 

      Fatemi, Bahareh; Rabbi, Fazle; Opdahl, Andreas Lothe (Peer reviewed; Journal article, 2023)
      News classification plays a vital role in newsrooms, as it involves the time-consuming task of categorizing news articles and requires domain knowledge. Effective news classification is essential for categorizing and ...
    • Extremely Randomized Trees With Privacy Preservation for Distributed Structured Health Data 

      Aminifar, Amin; Matin, Shokri; Rabbi, Fazle; Pun, Violet Ka I; Lamo, Yngve (Journal article; Peer reviewed, 2022)
      Artificial intelligence and machine learning have recently attracted considerable attention in the healthcare domain. The data used by machine learning algorithms in healthcare applications is often distributed over multiple ...
    • A GraphQL approach to Healthcare Information Exchange with HL7 FHIR 

      Rabbi, Fazle; Rutle, Adrian; Lamo, Yngve; Pun, Ka I (Peer reviewed; Journal article, 2019-11-21)
      Interoperability is accepted as a fundamental necessity for the successful realization of Healthcare Information Systems. It can be achieved by utilizing consistent standards defining syntactic and semantic meaning of the ...
    • A Model Based Slicing Technique for Process Mining Healthcare Information 

      Rabbi, Fazle; Lamo, Yngve; MacCaull, Wendy (Chapter, 2020)
      Process mining is a powerful technique which uses an organization’s event data to extract and analyse process flow information and develop useful process models. However, it is difficult to apply process mining techniques ...
    • A model based slicing technique for process mining healthcare information 

      Rabbi, Fazle; Lamo, Yngve; MacCaull, Wendy (Journal article; Peer reviewed, 2020)
      Process mining is a powerful technique which uses an organization’s event data to extract and analyse process flow information and develop useful process models. However, it is difficult to apply process mining techniques ...
    • A model driven approach to the design of a gamified e-learning system for clinical guidelines 

      Nyameino, Job; Rabbi, Fazle; Mughal, Khalid Azim; Were, Martin C; Lamo, Yngve (Peer reviewed; Journal article, 2019-08-21)
      Clinical practice guidelines (CPGs) are indispensable in the practice of evidence-based medicine. However, the cost of effective CPG dissemination strategies is prohibitive and not cost-effective. Therefore, scalable ...
    • Model-Driven Automatic Question Generation for a Gamified Clinical Guideline Training System 

      Nyameino, Job Nyangena; Ebbesvik, Ben-Richard Sletten; Rabbi, Fazle; Were, Martin C.; Lamo, Yngve (Journal article; Peer reviewed, 2020)
      Clinical practice guidelines (CPGs) are a cornerstone of modern medical practice since they summarize the vast medical literature and provide care recommendations based on the current best evidence. However, there are ...
    • A Practical Methodology for Anonymization of Structured Health Data 

      Aminifar, Amin; Lamo, Yngve; Pun, Ka I; Rabbi, Fazle (Peer reviewed; Journal article, 2019)
      Hospitals, as data custodians, have the need to share a version of the data in hand with external research institutes for analysis purposes. For preserving the privacy of the patients, anonymization methods are employed ...
    • A Reference Architecture for Data-Driven and Adaptive Internet-Delivered Psychological Treatment Systems: Software Architecture Development and Validation Study 

      Mukhiya, Suresh Kumar; Lamo, Yngve; Rabbi, Fazle (Journal article; Peer reviewed, 2022)
      Background: Internet-delivered psychological treatment (IDPT) systems are software applications that offer psychological treatments via the internet. Such IDPT systems have become one of the most commonly practiced and ...
    • Reusable data visualization patterns for clinical practice 

      Rabbi, Fazle; Wake, Jo Dugstad; Nordgreen, Tine (Chapter, 2020)
      Among clinical psychologists involved in guided internet-facilitated interventions, there is an overarching need to understand patients symptom development and learn about patients need for treatment support. Data ...
    • Towards Adaptive Technology in Routine Mental Healthcare 

      Lamo, Yngve; Mukhiya, Suresh Kumar; Rabbi, Fazle; Aminifar, Amin; Lillehaug, Svein Ivar; Tørresen, Jim; Pham, Minh H.; Côté-Allard, Ulysse Teller Masao; Noori, Farzan Majeed; Guribye, Frode; Inal, Yavuz; Flobak, Eivind; Wake, Jo Dugstad; Myklebost, Sunniva Brurok; Lundervold, Astri J.; Hammar, Åsa Karin; Nordby, Emilie Sektnan; Kahlon, Smiti; Kenter, Robin Maria Francisca; Sekse, Ragnhild Johanne Tveit; Griffin, Kristine Fonnes; Jakobsen, Petter; Ødegaard, Ketil Joachim; Skar, Yngvar Sigmund; Nordgreen, Tine (Journal article; Peer reviewed, 2022)
      This paper summarizes the information technology-related research findings after 5 years with the INTROducing Mental health through Adaptive Technology project. The aim was to improve mental healthcare by introducing new ...
    • Towards an automated journalism framework for social data monitoring 

      Fatemi, Bahareh; Rosnes, Daniel; Tessem, Bjørnar; Rabbi, Fazle (Conference poster, 2022)
      News and information dissemination have long been a vital human practice. Concurrent with the traditional media channels such as radio and television, online social networks (OSNs), are regarded as the new generation of ...
    • User-centred design of clinical dashboards for guided iCBT 

      Wake, Jo Dugstad; Rabbi, Fazle; Inal, Yavuz; Nordgreen, Tine (Journal article; Peer reviewed, 2022)
      As Internet-based technology spreads to most areas of life, it becomes a challenge to grasp opportunities arising from enormous amounts of data being generated from various sources such as smart homes, smart cities, health ...
    • Visual User-Generated Content Verification in Journalism: An Overview 

      Khan, Sohail Ahmed; Sheikhi, Ghazaal; Opdahl, Andreas Lothe; Rabbi, Fazle; Stoppel, Sergej; Trattner, Christoph; Dang Nguyen, Duc Tien (Journal article; Peer reviewed, 2023)
      Over the past few years, social media has become an indispensable part of the news generation and dissemination cycle on the global stage. These digital channels along with the easy-to-use editing tools have unfortunately ...