Insightin Health

𝐀𝐬𝐤: "Which members are likely to give poor CAHPS scores?"

𝐆𝐞𝐭: 8,234 members identified with reasons, Plus: Complete campaign template

𝐓𝐢𝐦𝐞: 60 seconds

• Co-developed with Microsoft's Healthcare AI team

• Built on 250B healthcare data points

• Proven with 10M+ members

𝐓𝐡𝐞 𝐟𝐮𝐭𝐮𝐫𝐞 𝐨𝐟 𝐡𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐢𝐬 𝐡𝐞𝐫𝐞.

Real conversation with a health plan analyst:

"I spend 70% of my time preparing data for campaigns. 30% actually thinking about strategy. That's backwards."

She's right.

𝐂𝐮𝐫𝐫𝐞𝐧𝐭 𝐑𝐞𝐚𝐥𝐢𝐭𝐲: 70% data prep and 30% strategy

𝐖𝐢𝐭𝐡 𝐢𝐧𝐆𝐀𝐆𝐄 𝐈𝐐: 30% data prep and 70% strategy

inGAGE IQ flips this ratio. Ask questions in plain English. Get campaign-ready templates instantly.

Analysts should analyze, not wrestle with spreadsheets.

We just asked 10 Quality Leaders: "𝐖𝐡𝐚𝐭'𝐬 𝐲𝐨𝐮𝐫 𝐛𝐢𝐠𝐠𝐞𝐬𝐭 𝐚𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐩𝐚𝐢𝐧?"

Top 3 answers:

1) "Too many systems to check" (67%)

2) "Takes forever to segment members" (58%)

3) "By the time we analyze, it's too late" (71%)

One platform solves all three.

What would you add to this list?

Which members will give us poor CAHPS scores?

This question just took a Medicare Advantage plan 4 hours to answer.

They pulled claims data. Analyzed complaint logs. Cross-referenced satisfaction surveys. Built complex segments.

𝐓𝐫𝐚𝐝𝐢𝐭𝐢𝐨𝐧𝐚𝐥 𝐌𝐞𝐭𝐡𝐨𝐝: 4 hours to identify at-risk members

𝐖𝐢𝐭𝐡 𝐢𝐧𝐆𝐀𝐆𝐄 𝐈𝐐: 30 seconds to identify 8,234 at-risk members

Co-developed with Microsoft to bring AI to healthcare operations.