Oracle Health ✓

@OracleHealth · Austin, TX · joined 23 Apr 2009

Oracle Health is harnessing data to create a more transparent, human-centric health experience.

41 510Followers

1 844Following

23 839Posts total

3.7KViews on collected posts

โพสต์ล่าสุด

Oracle Health ✓@OracleHealth4 Sep

By combining data-driven research with Oracle EHR Real-World Data, @OSUMedicine is creating machine learning models to improve chronic disease management in rural and Native American populations. Find out how smarter data leads to smarter care: https://t.co/3g8yOpMhTm https://t 480 views · 2 likes · 0 reposts · 0 replies Open on X →

Oracle Health ✓@OracleHealth4 Sep

@OracleHealth @HealthcareSeema The coordination-owns-errors angle: when AI orchestrates a handoff between, say, a scribe's note and a referral, the error surface moves from "who mistyped" to "who approved a summary nobody reread." Right now that's still the clinician's license on 29 views · 0 likes · 0 reposts · 0 replies Open on X →

Oracle Health ✓@OracleHealth3 Sep

@OracleHealth @HealthcareSeema Ambient notes are just the tip of the iceberg. Once AI can actually help run things across the whole care journey, that's when things will really change. 8 views · 0 likes · 0 reposts · 0 replies Open on X →

Oracle Health ✓@OracleHealth3 Sep

Ambient documentation is only the beginning. Our own @HealthcareSeema says, “Ambient documentation is an important first step, but the larger opportunity is to move from an AI scribe to an AI assistant, then ultimately to AI that can help coordinate work across the care 1K views · 6 likes · 4 reposts · 3 replies Open on X →

Oracle Health ✓@OracleHealth2 Sep

Data-driven outreach can make a real difference in preventive care. Henry Community Health used Oracle Health Data Intelligence to identify patients eligible for Medicare Annual Wellness Visits, improve patient outreach, and increase the percentage of patients that completed the 678 views · 5 likes · 2 reposts · 0 replies Open on X →

Oracle Health ✓@OracleHealth2 Sep

Healthcare data is only powerful when teams can act on it. See how our analytics help surface insights, explore data with AI, and support care coordination across value-based care programs. Register: https://t.co/j1WxPDgdR3 https://t.co/syDoreKvNV 497 views · 4 likes · 0 reposts · 0 replies Open on X →

Oracle Health ✓@OracleHealth1 Sep

AI has the potential to improve care efficiency, quality, and accessibility, but this cannot happen through technology alone. Read the latest from @HealthcareSeema to learn how redesigning workflows and improving decision making can help maximize the value of AI: 1K views · 6 likes · 1 reposts · 0 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

7 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม ต่ำกว่าบัญชีรุ่นเดียวกันทั้งการเข้าถึงและการมีส่วนร่วม.

ยอดดูมัธยฐาน497บัญชีนี้924ค่ามัธยฐานของ 10K–100K

การเข้าถึง, %1.20%บัญชีนี้3.62%ค่ามัธยฐานของ 10K–100K

การมีส่วนร่วม, %0.90%บัญชีนี้1.52%ค่ามัธยฐานของ 10K–100K

ตัวชี้วัด	บัญชีนี้	ค่ามัธยฐานของ 10K–100K	อัตราส่วน
ยอดดูมัธยฐานต่อโพสต์	497	924	0.54×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)	1.20%	3.62%	0.33×
อัตราการมีส่วนร่วม	0.90%	1.52%	0.59×

บัญชีอื่นในช่วงนี้ → เปรียบเทียบกับบัญชีอื่น → ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →

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

1K1 Sep

4972 Sep

678

1K3 Sep

294 Sep

480

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.90%1 Sep

1.21%2 Sep

1.03%

1.55%3 Sep

0.00%

0.00%4 Sep

0.42%

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

What the audience does

Likes53.5%23 in total

Reposts16.3%7 in total

Replies7.0%3 in total

Quotes16.3%7 in total

Bookmarks7.0%3 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.