Empowering Healthcare Professionalsto Query and Analyse Patient Cohorts in Clinical Decision Making

Patient records data sources contain large volume of data, which healthcareprofessionals would like to explore and analyse for clinical decision making. A taskthat, assumably, should effectively and independently be accomplished by a healthcare professional. However, the lack of inadequate solutions and healthcare professional's limited knowledge in information technology cause a cumbersome and time-consuming workflow, which involves the assistance of different domain experts. First the healthcare professional contacts the database expert to query the cohorts. After receiving the needed cohorts, the data analyst creates the required data visualisations. This workflow runs through on every new hypothesis. This research project introduces a design concept which empowers healthcare professionals to independently query patient cohorts and to analyse the cohorts' datafor hypothesis testing. The introduced design concept uses a visual query approach with text filtering to build the needed patient cohorts. Furthermore, the design concept allows the healthcare professionals to compare and analyse any preferred parameter combinations on various data visualisations