We were tasked with creating a system for automating the acceptance or rejection of loans in the medical space. The system was required to gather financial and other documents and pre-approve based on these.
The medical loans business faces challenges that center on speed of data processing, accuracy and adequate customer experience. These include:
Slow loan approvals or refusals
With manual data processing and poor access to records, loans take an unnecessarily long time to process, with poor results for companies and their customers.
Lack of trust in data processing
Institutions lack ways to share data in a trusted, secure manner, while customers are cautious about sharing personal data with loan providers.
High operational expenses
Disorganized data flows and complex work flows absorb costly manual work hours, while obtaining data and storing it requires IT implementation and staff.
Fragmented patient and credit histories
Clinical and financial histories are fragmented and unclear, with crucial documents distributed across multiple organizations’ databases.
This project faced specific challenges concerning data flows and traffic management.
Selected as the basis for loan application management, the Salesforce LeadFlow engine is powerful and customizable but requires extensive integrations with data sources to function adequately for our purposes.
Data batching and transferring
Asynchronous data batching and transferring from one application to another required careful setup and process design to ensure the system functioned smoothly and effectively.
Loans can be approved or rejected based on automated creditworthiness checks, streamlining and accelerating the process.
Trusted data source
Secure, accurate and fast, with updates in real time, the system finally delivers a trusted source of clinical and financial data.
Give customers the intuitive experience they expect from applications, with a clear, easy application process.
Reduced operational expenses
The system reduces the need for time-consuming and costly manual checking and data-sourcing, reducing costs as well as saving time.
1: Mapped onto Salesforce
The system maps company structure and loan processing stages onto preexisting Salesforce steps like lead and prospects, with Salesforce’s permissioned access supporting company hierarchy like Director and Account Manager roles.
2: Data transfer from third-party system
Data is transferred between Salesforce and third-party systems using internal SQL database triggers, then added to the sfName object table.
3: Scheduled tasks processing
After the SQL database trigger event, a scheduled SSIS task is processed and synchronized with Salesforce’s database. The system offers rules-based automated rejection or preliminary approval, saving operator time and accelerating productivity. Depending on the object type, the result could be:
4-1: New Lead
A new lead, opportunity, contact, or account is added to Salesforce and linked through the value of the Legacy Field ID.
4-2: Update existing
An existing record is updated, first in a temporary SQL table and then in the Salesforce database.
Lightpoint built the system with:
3 developers, 1 QA engineer, 1 Project Manager
MSSQL Server, MongoDB
Salesforce Classic, Salesforce Lightning, SSIS, SOQL
The system is effective in leveraging Salesforce to create a medical loans processing tool that’s rapid, secure, accurate and streamlined. Hours of manual work are saved, with staff redirected to more value-adding activities, and customers express a preference for the simple, easy-to-use experience.
Ready to build something like this for your business?
Get in touch with us.