Advancements in telemedicine have been helpful for frequent monitoring of patients with Parkinson’s disease (PD) from remote locations and assessment of their individual symptoms and treatment-related complications. These data can be useful for helping clinicians and patients to interpret symptom states and individually tailor the treatments by visualizing the physiological information collected by sensor-based systems. Here we present various visualization and interaction techniques developed to help patients track their daily activities. We also present our most recent development to aid physicians in exploring this data in more detailed fashion. Both sets of interfaces are designed to visualize symptom and medication information, collected by an Internet of Things (IoT)-based system comprising of a smartphone, electronic dosing device, wrist sensor and a bed sensor.