• Adaptive Elements in Internet-Delivered Psychological Treatment Systems: Systematic Review 

      Mukhiya, Suresh Kumar; Wake, Jo Dugstad; Inal, Yavuz; Pun, Ka I; Lamo, Yngve (Journal article; Peer reviewed, 2020)
      Background: Internet-delivered psychological treatments (IDPTs) are built on evidence-based psychological treatment models, such as cognitive behavioral therapy, and are adjusted for internet use. The use of internet ...
    • Adaptive Systems for Internet-Delivered Psychological Treatments 

      Mukhiya, Suresh Kumar; Wake, Jo Dugstad; Inal, Yavuz; Lamo, Yngve (Journal article; Peer reviewed, 2020)
      Internet-Delivered Psychological Treatments (IDPT) are based on evidence-based psychological treatment models adjusted for interaction through the Internet. The use of Internet technologies has the potential to increase ...
    • 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 ...
    • 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 ...
    • Internet-delivered mental health treatment systems in Scandinavia – A usability evaluation 

      Yogarajah, Aravinthan; Kenter, Robin Maria Francisca; Lamo, Yngve; Kaldo, Viktor; Nordgreen, Tine (Journal article; Peer reviewed, 2020)
      Mental health problems are a major public health concern worldwide. Approximately 50% of the population will experience mental problems during their life. Traditional treatment is based on psychopharmacotherapy or ...
    • 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 ...