About Milliman Medicare Suggest
Milliman Medicare Suggest brings software features together in one system, maintained by Milliman. Due to limited public documentation, verify capabilities with the vendor before relying on specifics. Key capabilities: Reporting and visibility Core workflow management Data export and backup Integration support Configurable settings and roles Best for: organizations seeking centralized process management and reporting.
Milliman Medicare Suggest Details
Vendor
Milliman
Year Launched
1947
Location
1301 Fifth Avenue, Suite 3800, Seattle, WA 98101-2605, US
Deployment
cloud, web browser
Training Options
demo, account manager, community
Countries Served
All Countries
Languages
English, Spanish, French, German, Italian, Portuguese, Japanese, Chinese, Korean
Users
Insurance Agents, Brokers, Insurance Carriers, Medicare beneficiaries, Healthcare Providers
Industries Served
Insurance, Healthcare
Tags
Insurance, Medicare, Milliman
Milliman Medicare Suggest's In-App Market Place
Does Milliman Medicare Suggest have an in-app market place?
Yes
How many Mini-Apps in the marketplace?
1
Mini Apps
N.A
Pricing Options
Free trial
Free version
Request a quote
Promo Offer
Accepted Payment Currencies
USD ($), GBP (£), EUR (€), CAD (CA$), AUD (A$), JPY (¥), CHF (CHF), SEK (kr), NZD (NZ$), SGD (S$)
Pros & Cons
- Personalized results based on your actual past medical visits and prescriptions lead to much higher accuracy.
- The software cuts through the confusion of generic brochures by showing exactly what you will likely pay.
- Using a massive database of millions of people makes the cost predictions feel trustworthy and well-researched.
- It saves a ton of time by comparing all types of Medicare plans in one single interface.
- Because it's cloud-based and uses APIs, businesses can set it up quickly without technical headaches.
- The tool’s accuracy depends heavily on having access to a user's comprehensive past health data.
- Organizations must pay a subscription fee, which might be a barrier for smaller, budget-conscious brokerages.
- Users might feel uneasy about a machine learning algorithm making significant decisions about their healthcare future.
- The system is entirely dependent on an internet connection and cloud stability to function at all.
- Heavily customized business settings might accidentally hide plans that could actually benefit the specific user.