underwritingqs
New Member
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Hello everyone, I'm doing a project on health insurance underwriting and wanted to get this community's take on what the job would look like in say, 10 years. I've got a list of things that I'm thinking about and would like to get your thoughts on which ones you agree on/disagree on and why, and what might I be missing or not thinking about.
If this would be better posted in a different forum, please let me know!
If this would be better posted in a different forum, please let me know!
- Less time will be spent manually aggregating data and performing data analysis
- Increased involvement in supporting the sales process including higher involvement in negotiations, attracting new business, retention of existing business and informing other product and services to meet consumer needs
- More information on risk quantification and segmentation will be available on-demand
- Risk types will become more complex, requiring novel strategies for underwriters to accurately assess
- Basic risk assessments will be automated while more complex risks will still require underwriter's direct attention
- Increased process alignment among all markets
- Demand for more transparent pricing will rise
- Demand for more personalized coverage and flexibility will rise
- Demand for the process from application to onboarding to be faster will rise
- Robotic process automation, machine learning, predictive modeling, and data analytics will automate the manual pieces of the underwriter's job to improve risk pricing and consumer experience
- Automation will be used to screen data and flag risks that should be escalated for human intervention
- Aggregated data will be available on demand
- Access to more types of data will allow for building an enriched customer risk profile
- Data types include: Medical, claims, prescription, IoT, customer behavioral data, social determinants of health, nutritional habits, personal preferences, water intake, activity levels, social media
- Underwriter will participate in more of an advisory role in new product development and the way in which risk pools are funded
- The end-to-end underwriting process will be data-driven with insights informing all aspects
- Data will be used to create individualized member risk profiles that can be accurately aggregated into group profiles
- Personalized risk profiles will be used to target specific customers