The next-generation of healthcare tech | AI

Next-Gen series
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Future-proofing enterprise imaging

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How tech and policy are fighting the opioid epidemic

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Dev4Health on HIMSS TV
What’s next?

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Next-gen cloud computing: Integrated data

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Next-gen precision medicine: Consumerism, EHR integration

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What’s next for clinical decision support tools?

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AI, blockchain will help hospitals adapt to value-based care

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Next-gen IT infrastructure backed by analytics, context

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Next-gen enterprise imaging: Algorithms, NLP

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Next-gen telehealth will advance pop health

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Next-gen health IT consulting: Moving into post-EHR era

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Next-gen interoperability: AI, blockchain, FHIR and open source analytics

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Next-gen clinical communication: Real-time location, context-aware and mobile

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Next-gen population health: mHealth, social determinants, prescriptive analytics

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Next-gen medical devices: Rethinking patient experience

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Next-gen data: FHIR APIs, AI and genomics, tech is changing fast

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Next-gen revenue cycle management: Value-based care, AI

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Next-gen quality and safety: Genetics, social determinants, data

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Next-gen patient engagement: It’s about communication

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Next-gen EHRs: What will the future look like?

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Next-gen analytics: Here’s what’s coming in the future
How tech is working today

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How AI command centers are helping hospitals

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What are the top drivers of hospital tech investments this year?

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How Mercy Hospital saved $4.3M with nursing analytics dashboard

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How one hospital lifted patient satisfaction: EHR-based nurse rounding tools

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Why integrating clinical pathways into EHRs can save millions

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How Mercy is improving cardiac care with analytics

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Mass General to apply deep learning to medical records

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How to make IoT data ready for AI

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EHRs and interoperability: Better than most people think?

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Radiology practices using AI and NLP to boost MIPS payments

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Rush boosts star ratings with proprietary predictive analytics

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An inside look: NewYork-Presbyterian’s AI command center

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How predictive analytics and medical device data can reduce physician alerts

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Hospital leans on machine learning to reduce sepsis

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EHR optimization key to improving patient safety

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ACO wrangles data from 45 different EHRs for real-time analytics

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EHRs in the cloud: Why smaller healthcare providers are making the leap

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UNC Health uses Epic to gather more data for comprehensive patient view

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How NYU Langone tweaked its Epic EHR for value-based care, saving millions

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How vendors are tackling credentialing, hiring and scheduling

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Inside Phoenix Children’s patient safety work with Allscripts

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Patient safety check-up: Promise, progress and a need for vigilance

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Columbia Medical saves $6.5M by tackling ED visits

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AI for cybersecurity? What hospitals should understand before investing

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Blockchain beyond EHRs: Thinking past the usual suspects can transform healthcare

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The future of personalized health is scientific wellness

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Precision med: Star Wars tech on a Flintstones chassis
Topic:
Analytics
Artificial Intelligence
Data Warehousing
Electronic Health Records (EHR, EMR)
Financial/Revenue Cycle Management
Network Infrastructure
Patient Engagement
Population Health
Quality and Safety
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What’s next for health IT?
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Our next-gen series dives into what’s coming on the near horizon from the very experts shaping the future of healthcare.