vidipta fulpadia

🚨 New Series Announcement: 10 Weeks of Storytelling with Data🎯 I want to focus the upcoming weeks on building solid, real-world projects. But like many of you, I’ve also been facing the challenge of finding my niche and ideas.

Hey guys, haven’t been too active lately Life happened. Between freelance work, job technical rounds & a sinus infection, this break ended up longer than planned. But I’m back & will try to be regular as I resume my series. Life gets tough sometimes, how do you all manage it?

📊 Healthcare Project Update ✅ Completed: Encounter & Cost Overview (trends, payer coverage, procedure costs) Next: Deep dive into Patient Behavior — • Unique admissions per quarter • 30-day readmissions • High-risk patients with frequent readmissions

Analyzing and Building stuff! Till now explored the Encounters (details of each time a patient interacts): - Total Encounters every year - % of Encounter of each class per year - % of encounters were over 24 hours versus under 24 hours? Now deep dive into the cost and admission

These terms make healthcare data more structured & analyzable. Did you know any of these? Any others that I missed? Drop it below ⬇️

5. DRG (Diagnosis-Related Group) A way hospitals group patient cases for payment. 💡 Example: All patients admitted for “pneumonia” might be grouped under DRG 193 for billing purposes.

If you’ve ever looked at hospital data, you’ll see words like SNOMED CT, line items, encounter types… and wonder 🤔 “What do these mean?” Let’s decode them with examples 👇

✅Missing and Duplicate data handled ✅Dimension and fact tables identified ✅Data modelling completed Small yet feels like strong progress

@Obi_Chii Awesome! Keep at it

Hi Datafam, I’m starting a Data Insight Monday series! For the next few weeks, I’ll be sharing tips, tools and techniques on data cleaning-one of the most overlooked but critical steps in analytics.

Healthcare is entering an era where data doesn’t just inform treatment It saves lives. Which medical condition have you heard that data has tackled?

Why it works: - Adapts to each hospital’s workflow - Explains its recommendations (transparency = trust) - Tracks patients from admission → discharge - Cuts false alarms drastically

📊 Data Saves Lives. Literally. While diving into healthcare data, I came across a Johns Hopkins study that left me speechless! An AI+Data system that helps doctors catch sepsis hours earlier, cutting death risk by 20%. 🧵