Data Gallery | Page 2 of 5

A data gallery of visualizations and infographics built from clinical and claims datasets.

Data Gallery

Opioids, the latest data: the past three years of prescriptions

Three years of data indicates fewer opioid prescriptions (save addiction treatment), a pinch that coincides with an uptick in unprescribed Fentanyl deaths.

Data Gallery

Harmony of data integration: combining 2 billion claims and EHR records

To illustrate the challenge of data integration, Arcadia combines 2 million records into one all-encompassing image of healthcare's interconnectedness.

Data Gallery

Sentiment in patient engagement: patient responses to text outreach

After deploying text messages in vaccine campaign, Arcadia used machine learning to track patients' reception, from warmth to antipathy.

Data Gallery

A drive to the doctor: 100k visits and the path to get there

In examining a patient's travels to get to their doctor, patterns emerge, like loyalty to specialists and the need for nearby emergency care.

Data Gallery

The cost of a year of healthcare: categorizing 500 million claims

Healthcare spending exhibits trends based on demographics, like maternity and ultrasound for women 25-35 and outpatient children's care.

Data Gallery

The impact of care management: risk stratification and hands-on care

Incorporating socioeconomic data alongside the traditional risk and morbidity, Arcadia tracks the results of patients in complex case management programs.

Data Gallery

Small data, big data: a diabetic self portrait

Wearable devices generate a wealth of data, and here, Arcadia looks at diabetics' blood glucose over seven days, including variations throughout the week.

Data Gallery

The cost of multiple conditions: 9 common co-conditions, 190k patients

Multiple co-morbidities lead to costly care. This data shows that the particular diagnosis—be it diabetes or obesity—will impact that distribution.

Data Gallery

Patient data profiles: a wealth of data for a single patient

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?