Headquaters
United States
Industry
Health Care
Technology Used
GCP, Dataflow, and BigQuery.
Secondwave Delivery Systems is a new generation startup that aligns clinical coding, Clinical documentation integrity and Care coordination best practices to deliver accurate patient risk and better HEDIS compliance to value based organization. Their customers, various insurance companies and providers, work with Second wave to help uncover issues in patient risk, streamline documentation and provide concrete data and documentation on missed factors and improve risk accuracy. Secondwaves unique platform allows clinicians to rapidly analyze the data and provide feedback to customers and automate the entire end to end process
Challenges
Secondwave management needed a business intelligence system that helped them understand the productivity
Solutions
Knoldus designed and built a Google Bigquery based data lake.
Results
The solution was a great success and the business started using the system within 6 weeks of the start. Due to streaming, the data is always fresh to seconds.
Challenges
As a rapidly growing startup, Secondwave management needed a business intelligence system that helped them understand the productivity and business value delivered on a daily and sometimes hourly basis. On one end, This analysis required intricate analysis of activity performed by clinicians real time which help identify issues early on and ensure promised dates to customers are met. While On the other end, provide accurate, explainable reports to customers that have a huge financial impact.
The company needs performance data ‘as of a date in the past.’ i.e. A point-in-time report is one which allows executives to go back in time, look at the statistics as of a particular date and be able to compare with what it was a year ago or now. This requires, not just the current state of data but every mutation to the data along with time.
Solution
Upon onboarding Knoldus, the team spent the first few days getting familiar with Health Care industry terminology and acquired the domain knowledge required to start the architecture process. The engineers read the report published by CMS (Medicare services) to Congress, that illustrates the evolution of measuring patient risk. The knowledge is documented in confluence and an onboarding document was prepared.
Next Knoldus team spent a couple of days understanding the customer processes, agreeing on development methodology, CICD standards, Infrastructure standards, documentation standards, Approval processes etc.
With basic knowledge required and understanding of process burden, Knoldus kick started the ‘Fusion’ exercise, in which Knoldus had a series of workshops with key stakeholders to define goals, success criteria, vision, approach, communication standards and Agile processes. A high level road map is prepared for the next few sprints and a backlog is generated.
The next step was architecture release, in which Knoldus executed a series of evaluations of tech stack and solutions to determine the best approach. Knoldus built basic components in 1 sprint (2 weeks) in which various technical decisions were made.
Results
The solution was a great success and the business started using the system within 6 weeks of the start. Today business relies heavily on Looker to understand the business, generate compliance reports in minutes and provide reporting for customers on demand. Due to streaming, the data is always fresh to seconds. The scalability of big query and pubsub, provides elasticity and speed required.
The solution is HIPAA and SOC2 Compliant, which is a basic necessity in the healthcare industry.
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