• 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 ...
    • 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 ...
    • 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 ...