KFF
@KFF · San Francisco | Washington DC · joined 23 Oct 2009
The independent source for health policy research, polling, and news.
107 786Followers
27Following
48 265Posts total
8.5KViews on collected posts
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Across the tech industry, many AI leaders are calling for oversight. But where should regulation begin?
@Paragon_Inst’s @RealJoeGrogan says policymakers should be cautious about creating AI-specific legal standards too early.
More in this week’s episode: https://t.co/3628b
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States and Medicaid managed care organizations expect to face new rate setting challenges with implementation of the 2025 reconciliation law.
Our new policy watch examines the recent and anticipated issues: https://t.co/JmNxrPFtDr
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Our new survey shows substantial shares of adults across health conditions say their health got worse due to skipping/delaying care, including about:
• 3 in 10 w/ a mental health condition 32 or lung disease 29;
• 1 in 4 w/ cardiovascular disease 24;
• 1 in 5 of those w/ https
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In this week’s episode, @chipkahn and @RealJoeGrogan discuss one of the biggest questions facing health care AI:
Is the biggest risk to AI innovation too little regulation, or the wrong kind?
Listen to KFF’s Business of Health podcast: https://t.co/aHP7dCzsRV
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Deciding what health care gets covered largely falls to health insurers, and it’s not a role that wins them many fans. A KFF poll finds prior authorization is the single biggest burden insured adults say they face beyond cost.
KFF’s @larry_levitt weighs insurers’ role as a check
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2:08
@KFF Prior authorization is becoming one of the most important healthcare automation opportunities.
The industry needs better interoperability, transparency and intelligent workflows — not more administrative friction.
I’m particularly interested in the companies building the
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@KFF 50 state rulebooks for ai mental health means the product gets built to the strictest state or geo-fenced to the laxest. neither is a policy outcome anyone chose. fragmentation picks the product, not the legislature
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@KFF the patchwork is the story. when every state draws the line between wellness app and practice of medicine differently, national tools either geofence or ship the strictest version to everyone. statehouses are writing the product spec
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States are taking different approaches to AI mental health tools. Some restrict how AI is allowed to be used and advertised; others focus on privacy, disclosures and consent.
The Monitor explores state approaches to addressing these concerns: https://t.co/UpaL6z989I
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About 1 in 6 adults — and 3 in 10 under 30 — used AI for mental health information or advice in the past year.
Documented false answers and harmful reinforcement are among the issues prompting state action, but policies vary widely.
More in The Monitor:
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The latest edition of The Monitor examines how states are taking different approaches to regulating AI mental health tools.
Some laws restrict how the tools are allowed to be advertised, while others emphasize privacy, disclosures, and patient consent. https://t.co/UpaL6z989I
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4 in 10 LGBTQ+ adults — including 6 in 10 trans adults — say that their insurer delayed or denied needed care in the past two years. That compares to 1 in 4 non-LGBTQ+ adults.
Our new poll has the details: https://t.co/GsKcd9jtbb https://t.co/aoydUzg7bh
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New KFF polling shows LGBTQ+ adults face greater challenges in accessing and affording health care compared to their non-LGBTQ+ peers.
Cost challenges are especially high for trans adults and LGBTQ+ adults who are younger, those with lower incomes, and those without insurance. h
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Against accounts of the same size
13 posts from the last 90 days, next to the 100K–1M follower range. below its peers on both reach and engagement.
Median views789this account5 983median for 100K–1M
Reach, %0.73%this account1.49%median for 100K–1M
Engagement, %0.13%this account0.93%median for 100K–1M
| Metric | This account | Median for 100K–1M | Ratio |
|---|---|---|---|
| Median views per post | 789 | 5 983 | 0.13× |
| Reach (views ÷ followers) | 0.73% | 1.49% | 0.49× |
| Engagement rate | 0.13% | 0.93% | 0.14× |
Others in this range → Compare with another account → How these benchmarks are built →
Growth & engagement
How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.
Views per post
91027 Aug
1.4K
878
79328 Aug
999
9
729 Aug
2
76022 Sep
789
950
597
485
Last 13 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.22%27 Aug
0.81%
0.00%
0.63%28 Aug
1.00%
0.00%
0.00%29 Aug
0.00%
0.39%22 Sep
0.13%
1.16%
0.00%
0.00%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes42.1%24 in total
Reposts21.1%12 in total
Replies10.5%6 in total
Quotes1.8%1 in total
Bookmarks24.6%14 in total
Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.
The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.
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