Obtain a comprehensive view of how patients move through health care systems, track patterns, and identify changes in conditions.
When patients seek care across different settings (such as primary care, a behavioral health clinic, and the emergency room), all of these data may be stored in separate places. Because data is stored across multiple systems, it is difficult to gain a comprehensive picture of a patient's total care as they move through the health care system.
Longitudinal data from the NeuroBlu Database can facilitate the creation of patient journeys to reveal:
how patients move through the health care system, from entry to discharge
treatments patients receive over time
development of disease severity over time, measured by structured outcomes measures and other semi-structured information
Why does this matter?
Granular data within the NeuroBlu Database enables researchers to better understand patients' lived experiences at specific time points in their journey through the health care system.
Longitudinal data facilitates observational studies that track patterns or associations over time, giving researchers a better sense of factors that could contribute to improvements in patient condition.
The ability to see a patient's entire journey in one view, without having to track down disparate data sources, saves time and supports efficient resource allocation.