Getting Started with Power BI for Healthcare Analytics

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Get Started Using Power BI for Healthcare Analytics

Do you currently rely on ad-hoc queries and Excel for your healthcare analytics data? Is your team spending more time trying to find the data you need instead of performing analysis on your data? Are you using VLookups to try to mash up your data from different systems? If so, stop wasting time data wrangling and implement a modern data analytic solution like Power BI for healthcare analytics.

Transform how you leverage your data and get more value with self-service reporting.

Create interactive visualizations to see trends, patterns and outliers in your healthcare data
Decrease cost, increase revenue, and improve service by gaining better insights into your data
Integrate data from various applications into consolidated reports to deliver better insights
Enable self-service reporting by automating data refreshes and keep your reports up to date
Gain new insights from your data

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Why Use Power BI for Healthcare Analytics

Affordable Solution for all Enterprises
Automate manual reporting and get your team analyzing data
Share your reports on PowerBI.com (stop emailing huge Excel files)
Securely access data from anywhere
Schedule reports to be sent via Email and stay up to date
Create Dashboards that focus on KPIs and Metrics everyone needs to see
High User adoption
Increase your teams ability to understand critical data
Receive alerts when thresholds are hit on KPIs

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Request a POC – Healthcare Dashboard

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Learn More – Healthcare Analytics Dashboards

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Healthcare Analytics – Use Cases

Healthcare companies have a wide variety of data that can be leveraged to create Power BI Healthcare Analytics. Below are some of the common use cases that many companies can benefit from. I recommend you start with a proof of concept in an area that has data that is readily available and easy to understand. Getting started with Power BI in this way enables you to see how data used in Power BI can be used differently than your current reporting solution or Excel.

Claims
Member Demographics
Internal Operations
Call Center
Quality
Appeals and Denials
Authorizations
Patient Experience
Schedules
Finance and Admin Expenses
Capital Projects vs Budget
Provider Metrics
HEDIS

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Sample Healthcare Claims Data Example

Regardless of the claims system you are using. You can get deep insights on your data quickly using Power BI. In this example, you will see a few columns from a sample Excel output of typical claims data. The process to using Power BI for healthcare data is to select your data source. This could be a database connection, Excel or csv file or one of the other 60+ data sources Power BI can access. In the examples that follow, I imported a 403 MB Excel file with my claim data and created reports that return results quickly without having to recalculate a spreadsheet or email to others.

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Power BI Healthcare Payer Claim Summary Example

After importing the data into Power BI, many different types of reports can be created based on your needs. In this example, I created a summary overview that lets me see claim count, claim amount and member count by year. In addition, I can see the number of claims by ICD code along with the Average of Paid Amount by ICD. As you can see, this single image gives you many different views of the data.

At the bottom of this page is the live interactive Power BI report used in this blog. Please read and test out the report to see how Power BI enables Healthcare Analytics.

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Filtering Healthcare Data in Power BI by Date

To gain more insights into the same data without any additional programming. I used the built in drill down functionality to drill into the quarter on two of the charts. I could continue to drill down to month and even day if I wanted. Then I selected 2020, Qtr 1 data by clicking it with my mouse and this filters the entire page.

All of the data is now reflecting the information for 2010, Qtr 1.

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Filtering Power BI Healthcare Data by Table Value

In this image, I have changed how I am filtering from 2010, Qtr 1 to selecting a value from the table on the right. By clicking on Lymphatic diag proc NEC. All of the visuals on the page are now filtered to show the ratio of this ICD code to the total. You can see the trends of these claims by year, quarter. In addition, you can still drill down to month or day if required to get more detailed insights.

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Healthcare Analytics Trend Analysis with Power BI

In the same report, I built another page that focuses on trends related to claim count and average paid amounts. The chart on the top right, shows the average of paid claims over 3 years. The red dotted line is the average trend. As you explore the data the average trend line automatically recalculates. The bottom right graph plots the claim count as bars to the average of paid claims as the line. You can quickly see the average claim cost has gone up quarter by quarter. The table on the left shows summary information by ICD long description. Each column can be sorted just by clicking the column name.

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Filtering Heathcare Data Trends in Power BI

In this image, I have filtered the report by clicking on the Biopsy of lymphatic structure to focus on the claims and average of cost all claims associated to this code. Self service reporting such as this. Enables your entire team to quickly look into your data and get better insights. No need to ask for additional data pulls or more ad-hoc requests. As you can see from these reports. Taking data from your claim system and publishing it to Power BI creates a powerful new way for your team to perform analytics and improve your operations.

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If you are interested in learning more please read my other blogs and check out the CDO Advisors YouTube channel. Start your healthcare analytics journey in weeks with our quick start solutions that show you how to get move value from your data.

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Derek

I am the founder and CEO of CDO Advisors a data and analytics consulting and training company. We specialize in helping companies get more value from their data with high value low risk projects.I have been publishing articles and books for over 20 years on SQL Server, data and architecture.