𝟴𝟬% 𝗼𝗳 𝗵𝗲𝗮𝗹𝘁𝗵𝗰𝗮𝗿𝗲 𝗱𝗮𝘁𝗮 𝗶𝘀 𝘂𝗻𝘀𝘁𝗿𝘂𝗰𝘁𝘂𝗿𝗲𝗱—𝗵𝗼𝘄 𝗱𝗼 𝗵𝗼𝘀𝗽𝗶𝘁𝗮𝗹𝘀 𝗺𝗮𝗸𝗲 𝘀𝗲𝗻𝘀𝗲 𝗼𝗳 𝗶𝘁?

Every second, massive amounts of patient data are generated—medical histories, lab reports, prescriptions, and imaging data.

But here’s the challenge: inaccurate, inconsistent, or incomplete data can lead to𝐦𝐢𝐬𝐝𝐢𝐚𝐠𝐧𝐨𝐬𝐞𝐬, 𝐭𝐫𝐞𝐚𝐭𝐦𝐞𝐧𝐭 𝐞𝐫𝐫𝐨𝐫𝐬, 𝐚𝐧𝐝 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐟𝐚𝐢𝐥𝐮𝐫𝐞𝐬.

So, how do healthcare providers ensure data quality?

It’s not just about collecting information—it’s about 𝐠𝐨𝐯𝐞𝐫𝐧𝐚𝐧𝐜𝐞, 𝐢𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧, 𝐥𝐢𝐧𝐞𝐚𝐠𝐞 𝐭𝐫𝐚𝐜𝐤𝐢𝐧𝐠, 𝐚𝐧𝐝 𝐫𝐞𝐚𝐥-𝐭𝐢𝐦𝐞 𝐢𝐧𝐬𝐢𝐠𝐡𝐭𝐬.

Hospitals need robust 𝐄𝐓𝐋 𝐩𝐢𝐩𝐞𝐥𝐢𝐧𝐞𝐬, 𝐝𝐚𝐭𝐚 𝐦𝐨𝐝𝐞𝐥𝐢𝐧𝐠 𝐟𝐫𝐚𝐦𝐞𝐰𝐨𝐫𝐤𝐬, 𝐚𝐧𝐝 𝐜𝐨𝐦𝐩𝐥𝐢𝐚𝐧𝐜𝐞 𝐦𝐞𝐚𝐬𝐮𝐫𝐞𝐬 to make data not only accessible but also #reliable and #secure.

𝐃𝐢𝐝 𝐲𝐨𝐮 𝐤𝐧𝐨𝐰?

🔹 Studies show that 𝟑𝟎% 𝐨𝐟 𝐭𝐡𝐞 𝐰𝐨𝐫𝐥𝐝’𝐬 𝐬𝐭𝐨𝐫𝐞𝐝 𝐝𝐚𝐭𝐚 𝐢𝐬 𝐡𝐞𝐚𝐥𝐭𝐡𝐜𝐚𝐫𝐞-𝐫𝐞𝐥𝐚𝐭𝐞𝐝, yet a large portion remains 𝐢𝐧 𝐬𝐢𝐥𝐨𝐬—disconnected and underutilized.
🔹 Poor data quality costs the healthcare industry 𝐨𝐯𝐞𝐫 $𝟑𝟎𝟎 𝐛𝐢𝐥𝐥𝐢𝐨𝐧 𝐚𝐧𝐧𝐮𝐚𝐥𝐥𝐲 in inefficiencies and errors.
🔹 With AI and real-time analytics, hospitals can 𝐫𝐞𝐝𝐮𝐜𝐞 𝐩𝐚𝐭𝐢𝐞𝐧𝐭 𝐫𝐞𝐚𝐝𝐦𝐢𝐬𝐬𝐢𝐨𝐧𝐬 𝐛𝐲 𝟐𝟎% simply by improving data accuracy.

Want to know 𝗵𝗼𝘄 𝗱𝗮𝘁𝗮 𝗾𝘂𝗮𝗹𝗶𝘁𝘆 𝗶𝗺𝗽𝗮𝗰𝘁𝘀 𝗽𝗮𝘁𝗶𝗲𝗻𝘁 𝗰𝗮𝗿𝗲? Watch this reel to uncover key insights and best practices!

#HealthcareAnalytics #DataQuality #ETL #DataGovernance #HealthTech