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Carevive-COS – Webinar 11-3-22

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Carevive-COS – Webinar 11-3-22

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How Targeted Patient and Provider Education Improves Outcomes - Stephen Page, smarterhealth.ai

How Targeted Patient and Provider Education Improves Outcomes - Stephen Page, smarterhealth.ai

Targeted patient and provider education powered by AI can reduce preventable readmissions and improve health equity, but healthcare organizations must prioritize clinical oversight, data security, and ethical governance when implementing these solutions.

  • 01Preventable readmissions occur when patients misunderstand medications, miss symptom recognition, or lack clarity on follow-up instructions, creating clinical, operational and financial burdens for healthcare systems
  • 02AI-delivered patient education must meet three criteria: solve a meaningful clinical or financial problem, integrate naturally into care workflows, and avoid adding burden to patients or clinicians
  • 03Healthcare leaders evaluating AI tools should prioritize solutions that improve patient understanding, support clinicians, reduce avoidable utilization, protect data security, and demonstrate measurable clinical or financial results

Aug 31, 2026

Cleveland Clinic’s 900-person AI summit signals a new buying cycle for patient portals

Cleveland Clinic’s 900-person AI summit signals a new buying cycle for patient portals

Cleveland Clinic hosted a significant AI Summit attended by 900 people, indicating a shift towards adopting AI in various healthcare operations. The Summit, along with a $50 million access initiative, highlights the integration of AI in processes such as routing, documentation, and bed-flow systems. This move signals a new buying cycle for patient portals in the healthcare industry.

  • 01Cleveland Clinic hosted a 900-person AI Summit signaling AI's integration into healthcare operations.
  • 02A $50 million access initiative emphasizes the application of AI in systems like routing and documentation.
  • 03Patient portals are entering a new buying cycle due to advancements in AI technology.

Aug 31, 2026

Medicare sets $137.53 maximum add-on payment per eligible inpatient case for CT triage AI

Medicare sets $137.53 maximum add-on payment per eligible inpatient case for CT triage AI

Medicare has announced a maximum add-on payment of $137.53 per eligible inpatient case for the use of AI in CT triage, utilizing Aidoc’s CT Body triage technology. This move emphasizes the importance of workflow integration, governance, and coding in hospitals employing radiology AI. The new technology add-on payment (NTAP) signifies a clear investment in AI-driven healthcare solutions.

  • 01Medicare introduces a $137.53 per-case payment for AI in CT triage.
  • 02Hospitals must integrate AI with proper workflow, governance, and coding.
  • 03The NTAP reflects investment in radiology AI solutions.

Aug 30, 2026

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