PATIENT GENERATED DATA AND AFFORDANCES
CONVERSATION CUES IN CLINICAL DECISION MAKING
An increasing number of systems support the use of patient-generated data in patient-provider collabora- tion. However, there is yet limited understanding of how patient-generated data impact the way health personnel work with data in clinical decision-making processes, and whether patient-generated data might be able to support clinical processes, for instance by providing evidence for diagnoses, treatment monitor- ing, or recovery. In this paper, we explore the use of patient-generated data in clinical decisions in two case studies. In the first case an App is used by patients in cancer rehabilitation to track their pain levels, frequency of specific events, and symptoms. Rather than requiring patients to remember past events at the time of the visit, patients can use the App to register events as they happen. In the second case an App is used in conjunction with a set of digital medical devices to track a defined set of parameters in remote care for patients with chronic conditions. Both Apps are designed with the aim to improve data accuracy and ensure data quality. Our findings show that beside gaining data quality and accuracy, patient generated data work as conversational cues in the context of the interaction between patients and health personnel. This finding is relevant as it shows that patient generated data need to be treated not just as facts but as cues or as an affordance for patient-provider dialogue. Based on this understanding, we identify three design implications for Apps for patient-generated data to support patient-provider dialogue.