Last year, RE-SAMPLE colleagues from RRD (Roessingh Research and Development) participated in a workshop "Exploring Human-Centered AI in Healthcare" at the ECSCW conference. Their paper "Balancing data-hungriness of AI and the workload of manual data collection" can be openly accessed following this link.
Artificial intelligence systems need big data sets for the development of models or machine learning algorithms. This data has to be collected, which is not always possible to do automatically. Manual data collection in healthcare is often performed by patients or their caregivers, which adds workload to their existing disease burden. This paper reports on a qualitative study with Dutch patients and healthcare professionals focusing on data collection on patients living with chronic obstructive pulmonary disease. Both groups were concerned about the response burden of patients filling in questionnaires on a daily basis, who have limited energy at their disposal, to begin with.
Recently, RRD produced a video that summarises end-user walkthroughs (tests conducted to elicit user impressions and assess their acceptance of eHealth technology). To watch, click here or below: