Because they are economical and flexible, registries are ideal for collecting data from a wide range of patients and practice sites. However, the flexibility of registries also creates risk. To generate useable, uniform data, registries must be carefully designed and administered. Consider these seven factors to design and launch a successful registry.
The shift of clinical assessment from the controlled environment of a trial site to the uncontrolled environment of a patient's home is a considerable challenge. Read about the creation of a suite of wearables that could be combined and deployed in a nonclinical setting and tailored to specific therapeutic areas.
Human factor analysis (HFA) uses uniquely structured datasets to reveal underlying behaviors and factors that are otherwise difficult for humans to sense or reconstruct, but ultimately are the root cause of an incident. Read how HFA can be incorporated into risk-based monitoring as a useful approach for protecting your clinical data.
Emerging mHealth technologies are transforming patient care by integrating health data across the healthcare landscape. Wearable mobile sensors, smart drug delivery devices, smartphone apps, and individualized telemedicine increasingly provide continuous data collection, treatment adjustment, and active patient engagement in real time.
Centralizing and tracking training requirements for all your trials through a learning management system, designed to make it easier for site and study staff, will help your team and bring real benefits to your clinical studies.