Power BI Analytics Dashboard For Patient Management
About Client
The USA based client is an owner of a leading chain of super multi specialty hospitals, in the healthcare segment, spread out in different cities of USA. All the hospitals are equipped with advanced medical tools and provide best medical treatments to its patients who come with different kinds of ailments.
Client's Business Goals
The hospital management needs to supervise all working areas of the hospital encompassing management of patients, their statistics category-wise, details of patients and their treatment, etc. To offer the best, most advanced, and personalized services, hospital management needs to effectively manage patient-related controls.
Key Challenges
With little experience in the technical world, the client was finding it difficult to extract desired information, for better management and supervision. They were in look for a dashboard that could offer them all the needed details.
Effectively manage patient related controls
extract desired information, for better patient management and supervision.
A dashboard that could offer them all the needed details
A high degree of manual work that had to be extracted, cleansed and analyzed while culling out information
Need to load and analyze 10 years of data-driven visualization to look at every patient-related information based on different parameters
Since the hospital has many centers all over, they were in look for tight & controlled access to users
The client also wanted to embed the dashboard in their web portal
Our Solution
SPEC INDIA understood the client’s requirements and offered them an effective Power BI Dashboard solution that helped the client to monitor and manage all their patients and healthcare units with ease and security.
Visualization metrics displayed on the dashboard
- Number of Patients – Total patients, Patients in ICU, Died patients & Re-admitted patients
- Average Days of Discharge
- Number of Patients by Gender
- Number of Patients by Hospital Hierarchy (County | State | City | Name)
- Number of Patients by Division and Department
- Number of Patients by Age Group
- Number of Patients by LOS (length of stay) Bucket
- Number of Patients by Discharge Type
- Number of Patients by City
- Average waiting time by Division and Department
Key Inclusions
Use of SSIS Package to migrate data from the transaction system to data warehouse
Tabular Model to handle large and near real-time data
Use of Power BI row-level security for restricted data access for given users
Use of custom lollipop chart for better visualization
Use of custom code to embed the dashboard in the client’s web portal
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Technologies & Tools
Our Process
Research/Analysis
Our detailed and accurate research , analysis, and refinement leads to a comprehensive study that describes the requirements, functions, and roles in a transparent manner.
Design
We have a team of creative design experts who are apt at producing sleek designs of the system components with modernized layouts.
Coding
Our programmers are well versed with latest programming languages, tools, and techniques to effectively interpret the analysis and design into code.
Testing
Quality is at the helm of our projects. We leave no stone unturned in ensuring superior excellence and assurance in all our solutions and services.
Launch
We have well-defined, robust, and secure launch criteria that offers us a successful implementation clubbed with detailed testing, customer acceptance, and satisfaction.
Business Benefits
Improved real-time insights from structured and unstructured data coming from diverse sources, including business systems, EMR, weblogs, medical units and medical devices
Effective and well-optimized reports with rich graphical displays
Enhanced insights to make optimal business decisions using a comparison of monthly data-driven visualization
Proactively identify and indicate patterns and trends within the data streams
Simplified sharing of data, reports, and dashboards with CXO to make timely decisions
Tight and secure user access control
Reduced report load time and query time to few minutes and seconds respectively
Reducing storage to less than 5% when compared with competing data visualization platforms, owing to Power BI
Setting up threshold data points on specific parameters and alerting key stakeholders in real-time due to Power BI
Reduction in complexity while understanding fragmented data due to Power BI
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