DCP-Agent also known as Data Collector and Processing Agent is a standalone solution currently available in the Soarian Financial (SF) world. The solution's intent is to collect any kind of structured data across multiple clients for different enterprise applications viz. SF/Clinicals/Scheduling which essentially have SQL, MySQL, PostGre or Oracle at their back-end.

In today's date the tool is used across multiple teams and is responsible for collecting and processing data from the following SF application reporting areas:

1. Unprocessed Revenue Impact Report (with Smart Support Integration)
2. Daily OOB Report.
3. OOB Beta Report.
4. Monthly 3M Royalty Report.

Apart from these model reports in SF, the tool also easily collects any custom report based on the user's requirement on demand.

Key Highlight/Achievements:
• Reduction of unprocessed revenue data by 81% (Approx. 2.5 M $) over the last 10 months.

• Detection of percentage imbalance through proactive monitoring of OUT OF BALANCE data in SF.

• Collection of IP and ER Check-In Per Day in the NYC Metro Area Hospitals(Clients) for performing Server Capacity analysis for 50% bed capacity increase during the COVID-19 prime time.

• Recognition in the Achievements placemat for the Kolkata Revenue Cycle 2019

FUTURE GOALS:
• Implementation of the Pattern Recognition Algorithms to automate recognition of the hidden pattern and regularities from the real time data
• Implementation of the Data visualization technique to visualize the client specific data pattern with respect to time
• Port to Millennium

TAKE-AWAY:
At the end of the session, the audience will have a clear idea as to how the approach should be when it comes to asynchronous mass data collection from distributed database systems and implementing the Datascience Technologies the data pattern would be identified & visualized.

JIRA : https://jira3.cerner.com/browse/REVCYCIMP-936
GIT: https://github.cerner.com/sc041311/SF-App-Data-Collector-DCP-Agent