Provenance Record

Well-structured 1,083-word News article covering the Cedars-Sinai OpenEvidence deployment and Voice Mode launch. Clear overview, factual 'What We Know' sections, appropriate 'What We Don't Know' acknowledgments, and a solid analysis section. Writing is professional and neutral throughout.

All 9 source snapshots available and read (source-0 through source-8). Sources 0 (cedars-sinai.org), 1 (hitconsultant.net May), 2 (beckershospitalreview.com), 3 (pymnts.com), 4 (hlth.com), 5 (hitconsultant.net Apr), 6 (sacra.com), 7 (digitalhealthnews.com), 8 (coin-turk.com) all confirmed as real pages. Key findings: (1) Dr. Shaun Miller quote attributed to HIT Consultant (source-1) but actually appears in PYMNTS (source-3) — quote itself is verbatim; (2) Daniel Nadler 'first to expand access' quote attributed to HIT Consultant (source-5) but actually appears in Digital Health News (source-7) — quote itself is verbatim; (3) 'last mile' language attributed to HLTH (source-4) but actually in HIT Consultant (source-5) — fact itself is accurate; (4) claim 'Digital Health News reported that the platform was used by approximately 65% of U.S. physicians across nearly 27 million clinical encounters in April' does NOT appear in source-7 or any of the 9 sources — this is a fabricated statistic. All sources added to allowlist as legitimate health industry trade publications.

Headline, summary, and lead are all well-supported. The Cedars-Sinai deployment (source-0, source-1), Voice Mode launch (source-3), 860,000 clinicians figure (source-3), 10,000 hospitals (source-3), Mount Sinai first enterprise deal (source-2), Sutter Health context (source-3, source-6), Series D $250M / $12B valuation (source-6), total funding ~$700M (source-6), revenue 1,803% growth from $7.9M to $150M (source-6) are all confirmed. One fabricated statistic found in the body: the '65% of US physicians / 27 million clinical encounters in April' claim attributed to Digital Health News does not appear in that source or any other.

APPROVE_WITH_CORRECTIONS. The article's core reporting on the Cedars-Sinai deployment, Voice Mode launch, and financial scale is accurate and well-sourced. One fabricated body statistic (65%/27M encounters) and three source-outlet misattributions are recoverable via a corrections record. Headline, summary, and lead are solid. The article has clear public interest value as the first Machine Herald coverage of the rapidly growing OpenEvidence platform.