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OpenEvidence

@OpenEvidence · Miami, FL & San Francisco, CA · joined 10 Nov 2022

OpenEvidence is the most popular AI for doctors in the United States, founded with the mission to organize and expand the world's collective medical knowledge.

36 552Followers
397Following
500Posts total
1.1MViews on collected posts

Posts recentes

Today we are releasing the OpenEvidence Model Family. Our most powerful models yet, and (as of 2026) the highest scoring medical AI model family in the world on every mainstream benchmark. Osler for the hallway, Sackett for the consult, Snow for the tumor board. Every model in h 55.1K views · 240 likes · 30 reposts · 8 replies Open on X →
@OpenEvidence Fuck that 37 views · 0 likes · 0 reposts · 0 replies Open on X →
@TheAMSSM members serve as team physicians from the youth level through the NFL, NBA, and Olympic and Paralympic teams. Those same physicians will now review sports medicine resources co-developed with OpenEvidence, freely available to the clinicians who treat everyone else too. 2.8K views · 17 likes · 3 reposts · 0 replies Open on X →
Dr. Wachter’s point on the JAMA paper arguing AI can replace doctors: AI wins when it starts with clean clinical facts. Producing those facts is the practice of medicine. It’s the doctor who examines the patient, hears what they’re saying and what they’re leaving out, and turns a 14.3K views · 68 likes · 8 reposts · 9 replies Open on X →
@OpenEvidence Congratulations! Richly deserved. Great platform 364 views · 1 likes · 0 reposts · 0 replies Open on X →
@OpenEvidence Pretty cool 363 views · 1 likes · 0 reposts · 0 replies Open on X →
OpenEvidence founder named to TIME100 AI 2026. "Over 300 million Americans will be treated by a doctor using OpenEvidence to help make a treatment decision." https://t.co/jhqL1oHFOd 117.9K views · 75 likes · 13 reposts · 3 replies Open on X →
@openevidence @chungk1031 Relying heavily on a narrow set of elite journals (NEJM, JAMA, etc.) is dangerous, not a feature. It misses the true breadth of medical research published across thousands of journals. Researchers choose smaller/specialty journals for faster publication 1.5K views · 12 likes · 4 reposts · 2 replies Open on X →
Full article: https://t.co/EvE5NEjhUA 3.4K views · 16 likes · 2 reposts · 0 replies Open on X →
“We did the hardest thing in the history of American health care. We got the majority of American doctors to all voluntarily adopt a single technology platform.” NBC News on how that happened, what U.S. physicians actually do with OpenEvidence, and how partnerships with NEJM, h 161.9K views · 244 likes · 53 reposts · 24 replies Open on X →
@openevidence @acog Super cool! Can medical students use OE btw? 79 views · 0 likes · 0 reposts · 1 replies Open on X →
More on OpenEvidence and ACOG collaboration: https://t.co/Dj627C1kJv 1.1K views · 2 likes · 0 reposts · 1 replies Open on X →
More than a third of U.S. counties are maternity care deserts. The clinicians fielding women’s health questions in those communities are often family physicians and primary care doctors, working hours from the nearest OB-GYN. Starting today, @acog's clinical guidance, seven https
748.8K views · 51 likes · 12 reposts · 3 replies Open on X →

Em comparação com contas do mesmo porte

7 posts dos últimos 90 dias, ao lado da faixa de 10K–100K seguidores. aparece para muita gente, mas poucos desses espectadores reagem.

Mediana de visualizações2 809esta conta924mediana para 10K–100K
Alcance, %7.68%esta conta3.62%mediana para 10K–100K
Engajamento, %0.28%esta conta1.52%mediana para 10K–100K
MétricaEsta contaMediana para 10K–100KProporção
Mediana de visualizações por post2 8099243.04×
Alcance (visualizações ÷ seguidores)7.68%3.62%2.12×
Taxa de engajamento0.28%1.52%0.18×

Outras contas desta faixa →   Comparar com outra conta →   Como estas referências são construídas →

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

748.8K4 May
1.1K
79
161.9K13 May
3.4K
1.5K14 May
117.9K27 Aug
363
364
14.3K28 Aug
2.8K
371 Sep
55.1K3 Sep

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

0.01%4 May
0.26%
1.27%
0.21%13 May
0.54%
1.27%14 May
0.08%27 Aug
0.28%
0.27%
0.61%28 Aug
0.71%
0.00%1 Sep
0.52%3 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes59.2%727 in total
Reposts10.2%125 in total
Replies4.1%51 in total
Quotes2.7%33 in total
Bookmarks23.8%293 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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