Three years of data indicates fewer opioid prescriptions (save addiction treatment), a pinch that coincides with an uptick in unprescribed Fentanyl deaths.
To illustrate the challenge of data integration, Arcadia combines 2 million records into one all-encompassing image of healthcare's interconnectedness.
After deploying text messages in vaccine campaign, Arcadia used machine learning to track patients' reception, from warmth to antipathy.
In examining a patient's travels to get to their doctor, patterns emerge, like loyalty to specialists and the need for nearby emergency care.
Healthcare spending exhibits trends based on demographics, like maternity and ultrasound for women 25-35 and outpatient children's care.
Incorporating socioeconomic data alongside the traditional risk and morbidity, Arcadia tracks the results of patients in complex case management programs.
Wearable devices generate a wealth of data, and here, Arcadia looks at diabetics' blood glucose over seven days, including variations throughout the week.
Multiple co-morbidities lead to costly care. This data shows that the particular diagnosis—be it diabetes or obesity—will impact that distribution.
When patient data migrates from practice to practice, there's a risk of losing important information. What story does one patient's data tell in aggregate?