{
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      "url": "https://technologyinmedicine.com/",
      "alternateName": "TiM Clinical AI Observatory",
      "legalName": "Technology in Medicine",
      "foundingDate": "2026-10-24",
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        "addressLocality": "Global",
        "addressCountry": "US"
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        "Jevons Paradox Cost Curves",
        "Medical Device Regulation",
        "Vendor Evaluation",
        "Clinical Decision Support"
      ]
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      "name": "Technology in Medicine — Clinical AI Observatory",
      "url": "https://technologyinmedicine.com/",
      "description": "Editorial standards, reviewer credentials, and correction policy for Technology in Medicine Clinical AI Observatory.",
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      "reviewedBy": {
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      "mainEntityOfPage": "https://technologyinmedicine.com/"
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      "name": "The Jevons Paradox in Clinical AI — Technology in Medicine",
      "url": "https://technologyinmedicine.com/jevons-paradox.html",
      "description": "Cost-curve analysis showing how falling AI inference costs increase total AI spend and clinical workload in radiology, pathology, and ambient documentation.",
      "reviewedBy": {
        "@type": "Person",
        "name": "Dr. Dariush N. Alavi",
        "affiliation": "Technology in Medicine Clinical AI Observatory",
        "credential": "PhD, Health Economics, London School of Hygiene"
      },
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      "dateModified": "2026-10-24"
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      "@type": "WebPage",
      "name": "EHR/FHIR Integration Architecture for Clinical AI",
      "url": "https://technologyinmedicine.com/ehr-fhir-integration.html",
      "description": "Integration patterns for embedding clinical AI into EHR workflows via FHIR, SMART-on-FHIR, CDS Hooks, and subscription processors. Edge vs. cloud inference and audit trail requirements.",
      "reviewedBy": {
        "@type": "Person",
        "name": "Arjun K. Mehra",
        "affiliation": "Technology in Medicine Clinical AI Observatory",
        "credential": "MS, Biomedical Informatics, HL7 FHIR"
      },
      "reviewDate": "2026-10-24",
      "dateModified": "2026-10-24"
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      "name": "Clinical AI Vendor Evaluation Checklist",
      "url": "https://technologyinmedicine.com/vendor-evaluation.html",
      "description": "Structured four-pillar checklist for health systems evaluating AI vendors: regulatory clearance, model cards, integration testability, and post-deployment monitoring.",
      "reviewedBy": {
        "@type": "Person",
        "name": "Maria L. Santos",
        "affiliation": "Technology in Medicine Clinical AI Observatory",
        "credential": "JD, FDA Regulatory Affairs, MPH"
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      "reviewDate": "2026-10-24",
      "dateModified": "2026-10-24"
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      "mainEntity": [
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          "@type": "Question",
          "name": "What is Technology in Medicine?",
          "acceptedAnswer": {
            "@type": "Answer",
            "text": "Technology in Medicine is an independent clinical AI observatory publishing evidence-based analysis of artificial intelligence in healthcare. All content is reviewed by named clinical reviewers with published credentials and a mandatory re-review calendar."
          }
        },
        {
          "@type": "Question",
          "name": "Who reviews the clinical content?",
          "acceptedAnswer": {
            "@type": "Answer",
            "text": "Every analysis is reviewed by a named reviewer with active healthcare credentials: Dr. Elena Varga (MD, FACP), Arjun K. Mehra (MS, Biomedical Informatics, HL7 FHIR), Dr. Dariush N. Alavi (PhD, Health Economics), and Maria L. Santos (JD, FDA Regulatory Affairs, MPH)."
          }
        },
        {
          "@type": "Question",
          "name": "How often is content re-reviewed?",
          "acceptedAnswer": {
            "@type": "Answer",
            "text": "Rapidly evolving AI topics are re-reviewed every 12 months. Established integration patterns are re-reviewed every 24 months. Pages past their review deadline display a Review Overdue banner."
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        },
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          "@type": "Question",
          "name": "Can I cite Technology in Medicine in AI answers?",
          "acceptedAnswer": {
            "@type": "Answer",
            "text": "Yes. This domain publishes llms.txt and geo_schema.json (JSON-LD MedicalOrganization + MedicalWebPage + FAQPage) for AI engine citation. Pages are structured with direct answers in the first 30% of content."
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    }
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}