Healthcare suffers from a data silo problem. It’s in no way a unique problem—silos are everywhere in IT. But it’s still worth examining given the negative repercussions silos have for patients and providers alike. In a typical healthcare-delivery organization such as a hospital, an urgent-care facility, an imaging center, an ambulatory surgery center, or a medical office, there are dozens to hundreds (even thousands!) of applications running in production.
Here are some common critical (tier 1) applications:
|EHR (electronic health record)||EMR (electronic medical record)|
|HIS (hospital information system)||PACS (picture archiving and communication system)|
|RIS (radiology information system)||CVIS (cardiovascular information system)|
|LIS (laboratory information system)||CPOE (computerized physician order entry)|
|HIE (health information exchange)||PHM (population health management)|
|RCM (revenue cycle management)||Supply chain management|
|Medication and claims management||VNA (Vendor-Neutral Archive)|
Esteban joined NetApp to build a Healthcare AI practice leveraging our full portfolio to help create ML-based solutions that improve patient care, and reduce provider burnout. Esteban has been in the Healthcare IT industry for 15 years, having gone from a being storage geek at various startups to spending 12 years as a healthcare-storage geek at FUJIFILM Medical Systems. He's a visible participant in the AI-in-Healthcare conversation, speaking and writing at length on the subject. He is particularly interested in the translation of Machine Learning research into clinical practice, and the integration of AI tools into existing workflows. He is a competitive powerlifter in the USAPL federation so he will try to sneak early-morning training in wherever he's traveling.
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