ATLAS Tutorial: Data Sources - Visit

Summary

This video explores the Atlas platform's data sources capability, focusing on the visit report. It demonstrates how to analyze different types of visits through a tree map, table, and various graphs. The platform allows users to drill down into detailed reports, such as outpatient visits, stratified by year, age, and gender. The script also covers the analysis of visit frequency by month and the age at first occurrence, providing a comprehensive understanding of patient visit patterns over time.

Takeaways

• 🗺️ The Atlas platform allows users to explore data sources and reports through a standardized common data model.
• 📊 The visit report begins with a tree map representation, which shows the prevalence and density of different types of visits.
• 🔍 Hovering over sections of the tree map provides detailed statistics about the visits, such as percentages and averages.
• 📝 The report includes a table view for a more detailed and organized look at the data, listing different types of visits and their prevalence.
• 🔑 Users can drill down into specific visit types to access additional reports and stratifications.
• 📈 The prevalence of outpatient visits is shown over time, with a trellis graph by age and gender, providing insights into demographic trends.
• 📉 The report also includes a graph showing the prevalence of visits by month, indicating any seasonal variations in visit frequency.
• 📊 The 'age at first occurrence' graph uses a box plot to display the median and distribution of ages for first visits, by gender.
• 🔄 The visit report demonstrates the ability to explore data for different concepts, such as inpatient visits, for comparative analysis.
• 🔗 The script concludes with an invitation to visit Odyssey.org for more information about Atlas and the platform's capabilities.

Q & A

What is the main focus of the video script?

The video script focuses on demonstrating the visit report feature within the data sources capability of the Atlas platform, which allows users to explore and analyze various types of patient visits using the OMOP common data model.

What is the OMOP common data model mentioned in the script?

The OMOP common data model is a standardized data structure used in observational health data research, which allows for the systematic analysis of data from different sources in a consistent manner.

What does the tree map representation in the visit report show?

The tree map representation in the visit report shows the prevalence and density of information associated with different types of visits, providing a visual overview of the data composition.

How can users interact with the tree map in the visit report?

Users can hover over the boxes in the tree map to get more detailed information about the data, such as the percentage of persons with a certain type of visit and the average number of visits.

What additional view is available for the visit report data?

Besides the tree map, there is also a tabular view available, which lists the different types of visits and provides detailed statistics such as the number of persons, prevalence, and records per person.

How can users drill down into specific visit types for more detailed analysis?

Users can click on a row representing a specific visit type in the table view to access additional drill-down reports that provide more in-depth information stratified by various factors like year, age, and gender.

What type of graph is used to represent the prevalence of outpatient visits over time?

A line graph is used, with the x-axis representing the calendar year and the y-axis showing the prevalence of visits per thousand persons, trellised by age deciles and with separate line series for males and females.

What insights can be derived from the prevalence graph by year, age, and gender?

The graph provides insights into the trajectory of visits over time, the composition of patients experiencing these visits, differences in visit prevalence between genders, and how utilization varies across different age groups.

What does the prevalence by month graph represent?

The prevalence by month graph represents the frequency of a particular type of visit, with the x-axis showing the calendar month and the y-axis showing the prevalence per thousand person years.

How is the age at first occurrence of an outpatient visit represented in the visit drill down?

The age at first occurrence is represented using a box plot, showing the median age, as well as the distribution of ages at the 10th, 25th, 75th, and 90th percentiles.

What additional information can users explore beyond outpatient visits?

Users can also explore inpatient visits and other concepts within the data domain, with the ability to drill down into each concept for a complete summary and detailed analysis.

Where can users find more information about Atlas and the additional reports available within the data sources tab?

For more information about Atlas and the additional reports available, users can visit the Odyssey website at Odyssey.org.