ATLAS Tutorial: Data Sources - Visit
Summary
TLDRThis 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.
Outlines
📊 Exploring Visit Report in Atlas Platform
This paragraph introduces the functionality of the Atlas platform's data sources capability, focusing on the visit report. The visit report begins with a tree map representation, which visually displays the prevalence and density of different types of visits. Users can interact with the tree map to get specific insights, such as the percentage of outpatient visits and the average number of visits per person. The report also includes a tabular view, listing the types of visits, the number of persons affected, prevalence, and records per person. By selecting a specific visit type, users can drill down into more detailed reports, such as the prevalence of outpatient visits stratified by year, age, and gender. The graph provides a macro understanding of the trajectory of visits over time, showing patterns like gender differences and age group utilization. The paragraph concludes with a box plot analysis of the age at first occurrence of an outpatient visit, illustrating the median, percentiles, and interquartile range.
🔚 Conclusion of Visit Report Demonstration
The final paragraph wraps up the demonstration of the visit report feature within the data sources tab of the Atlas platform. It serves as a conclusion, summarizing the capabilities and inviting viewers to seek more information about Odyssey, including additional details on Atlas and the variety of reports available. The paragraph directs interested parties to visit Odyssey's official website for further exploration and resources.
Mindmap
Keywords
💡Atlas platform
💡Data sources
💡OMOP Common Data Model
💡Visit report
💡Tree map
💡Prevalence
💡Tabular view
💡Drill down
💡Stratification
💡Trellis graph
💡Box plot
💡Odyssey
Highlights
Introduction to exploring the visit report within the data sources capability of the Atlas platform.
Ability to select data sources standardized to the OMOP common data model.
Selection of the visit report for detailed analysis.
Tree map representation of the prevalence and density of different types of visits.
Interactive hover feature to present detailed visit information.
Outpatient visit statistics: 76% of persons with an average of 37 visits.
Inpatient visit statistics: 12% of the population with an average of 1.7 visits.
Tabular view of data with line listings for different visit types.
Drill-down feature to explore additional information on selected visit types.
Prevalence of outpatient visits stratified by year, age, and gender.
Trellis graph displaying visit data across different age groups and genders.
Observed values for outpatient visits among specific age and gender groups.
Macro understanding of the trajectory of visits over time.
Visualization of the frequency of visits by calendar month.
Analysis of the stability of visit frequency over time.
Age at first occurrence graph with box plot representation.
Median age at first outpatient visit and distribution analysis.
Capability to explore inpatient visits for consistent utilization patterns.
Summary of all concepts in the data domain with drill-down capability.
Conclusion of the visit report demonstration and invitation to Odyssey.org for more information.
Transcripts
[Music]
today we're going to explore the visit
report within the data sources
capability of the Atlas platform from
Atlas I can click on data sources and
from here I can select any source of
data that has been standardized to the o
mop common data model and select any
number of different reports within the
data sources capability here I've
selected the visit report the visit
report starts with this tree map
representation showing me the prevalence
and density of information associated
with different types of visits within
this particular data source if I hover
over any of these boxes I'm presented
with information representing the
information here for example we can see
that this source 76 percent of persons
have an outpatient visit and on average
persons with an outpatient visit had 37
such visits 12 percent of the population
or 11 million patients had at least one
inpatient visit in on average persons
with an inpatient visit had 1.7 visits
this tree map display allows you to
explore the relative composition however
in this graph above we can see a tab
that says table which represents the
data in a tabular view so here we can
see a line listing representing the four
different types of visits in this data
source outpatient visit emergency room
is an inpatient visit in long term care
visit and we can see the number of
persons the prevalence in the population
and for those different types the
records per person for each of these
particular records we can click on a row
to drill down to additional information
so for example here I will select the
outpatient visit concept once i've
selected that concept additional drill
down reports will be presented here I
can see the prevalence of outpatient
visits stratified by year age and gender
on this graph we can see that the x-axis
represents calendar year
we can see that this source of data for
example has information from the year
2000 through 2017 we can see that the
graph is trellis by age deciles starting
from 0 to 9 all the way through 90 to 99
and each graph has a line series
representing the gender here blue
representing male and pink representing
female if I hover over any particular
line we can see the observed value so
here on where I'm pointing
we can see that amongst patients age 30
to 39 in the year 2011 there were 600
and 2021 outpatient visits per thousand
persons this graph provides you a macro
understanding of the trajectory of
visits over time the composition of
which patients seem to experiencing
these so here we can see that women
appear to have more visits than men the
seems to be some growth in this
particular database and it also seems
that there's a high utilization
consistent across the different age
groups the second graph here is the
prevalence by month here the x-axis is
representing calendar month and the
y-axis is representing the prevalence
per thousand person years for if I hover
over the graph for any given calendar
month I can see the prevalence per
thousand persons so here we can see
April 2007 there were 300 outpatient
visits per thousand persons when this
graph can allow you to see whether or
not the frequency of a particular visit
is stable over time the last graph shown
in the visit drill down is age at first
occurrence here we can see that we are
grouping by gender being male and female
we are showing on the y-axis the age at
first occurrence and we see a box plot
represented here so here in this
particular data source we can see that
the median age at first occurrence of an
outpatient visit was 40 and we can also
see the full distribution represented by
the 10th and 90th percentile as well as
the interquartile range at the 25th and
7
percentile this rounds it up for our
ability to explore the outpatient visit
but we can see that we can select any
concept from this table so now we can
also explore inpatient visits to see
whether or not the pattern of
utilization is consistent for that
particular concept
so in this modality we can see a
complete summary of all the different
concepts represented in this data domain
but be able to drill down to each and
every one this concludes our
demonstration of the visit report in the
data sources tab for more information
about Odyssey including additional
detail on Atlas and the additional
reports available within the data
sources tab please check us out at
Odyssey org
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