<p><em>数据信任指数™在健康记录达到模型、索赔或临床决策之前，针对八个维度进行评分。经过 imaware 验证，现已在 Zenodo 上发布。</em></p>
<p>, /PRNewswire/ -- 一项基于六年前实验室数据的保险索赔被拒。一项临床试验因重复记录而导致的招募队列失败。一个诊断 AI 发现的结果追溯到无人能够证明的数据。这些并非边缘案例，而是一个在人工智能发展速度超过信任建立速度的行业的运营条件。</p>
<p>继续阅读</p>
<p><img src="https://imageproxy.pbkrs.com/https://www.prnewswire.com/news-releases/null?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" original-src="https://imageproxy.pbkrs.com/https://www.prnewswire.com/news-releases/null"/></p>
<p>SuperTruth 的数据信任指数™（DTI™）在 imaware 部署中经过大规模验证，标准化了 105,000 个肿瘤诊断记录，分析时间减少了 95%，每月手动处理时间减少了 200 多个小时。DTI™是第一个在八个独立加权信任维度上对健康数据记录进行评分的正式框架。完整的方法论请见 supertruth.ai/dti。DOI 10.5281/zenodo.19601616</p>
<p><img src="https://imageproxy.pbkrs.com/https://www.prnewswire.com/news-releases/null?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" original-src="https://imageproxy.pbkrs.com/https://www.prnewswire.com/news-releases/null"/></p>
<p>数据信任指数™在八个维度上对健康记录进行评分——来源、同意、时效、质量、一致性、验证、广度和稳定性——并生成一个从 0 到 100 的综合评分。实时演示请见 supertruth.ai/dti。</p>
<p>SuperTruth Inc.今天发布了第一个旨在解决这一问题的正式框架。数据信任指数™（DTI™）在八个维度上对健康数据记录进行评分，包括来源、同意、时效和一致性，并生成一个从 0 到 100 的综合评分。完整的方法论可在 Zenodo 上获取，永久 DOI：10.5281/zenodo.19601616。</p>
<p>大多数数据质量工具在数据被复制到仓库后进行报告。DTI™在源头进行评分，在 SQL 中评分，且评分与记录永久携带。质量告诉你记录中有什么，信任告诉你是否应该对此采取行动。</p>
<p>&#34;今天在医疗保健中部署的每个模型都继承了其最弱输入的信任姿态，&#34; SuperTruth 的联合创始人兼首席 AI 官 Jason Alan Snyder 表示。&#34;DTI 是首次尝试使这种姿态在单个记录层面上可见、可评分和可审计。我们公开发布它，因为行业不会在无法检查的标准上达成共识。&#34;</p>
<p>该框架已经在扩展。SuperTruth 已申请一项临时专利，涵盖第九个 DTI 维度，即行为完整性指数，该指数对在可信数据上操作的 AI 代理的行为进行评分。DTI 旨在作为一个动态标准，而不是固定的模式。</p>
<p><strong>信任是决定性因素的三个领域：</strong></p>
<p><strong>医疗 AI 和健康系统。</strong> FDA 的 AI/ML SaMD 行动计划和 HHS 数据来源规则都要求开发者记录训练数据的特征。DTI™提供了这些框架所需的每条记录信号。</p>
<p><strong>制药和临床研究。</strong> 失败或延迟的试验招募每年给行业造成约 24 亿美元的损失。DTI™建立了一个最低信任底线，金级（80 分或以上），以确保只有可辩护的记录进入队列匹配。</p>
<p><strong>保险和风险承保。</strong> DTI™使一种新的精算输入成为可能：具有文档来源和同意的评分人口健康数据。承保基于证据而非假设。</p>
<p><strong>大规模验证。</strong> 与肿瘤诊断公司 imaware 的部署，使用 DTI™方法标准化了 105,000 个诊断记录。分析时间减少了 95%，每月手动处理时间减少了 200 多个小时。</p>
<p><em>&#34;实验室行业从未有过信任标准。DTI 创造了一个。&#34;</em>— Brodie Flanders，imaware 首席执行官</p>
<p>该管道的实时实施可在 supertruth.ai/dti 访问。三个合成患者记录可以实时评分，无需登录。</p>
<p><strong>关于 SuperTruth</strong></p>
<p>SuperTruth 是健康数据和 AI 的信任层。该公司的平台在健康记录达到模型、索赔或临床事件之前，对每条健康记录在八个维度上进行评分。imaware 是启动合作伙伴。DTI™和数据信任指数是 SuperTruth Inc.的商标，受多项专利组合保护，涵盖 AI 编排引擎、DTI 评分方法论和行为完整性指数。</p>
<p><strong>媒体联系人：</strong></p>
<p>Rheanna Crescenzo</p>
<p>SuperTruth Inc.市场总监</p>
<p>(215) 918-4140</p>
<p>[email protected]</p>
<p>来源 SuperTruth, Inc.</p>
<p><img src="https://imageproxy.pbkrs.com/https://rt.prnewswire.com/rt.gif/query-RGF0ZUlkPTIwMjYwNDI3Jk5ld3NJdGVtSWQ9UEg0NDMzMSZUcmFuc21pc3Npb25fSWQ9MjAyNjA0MjcxMjQ4UFJfTkVXU19VU1BSX19fX19QSDQ0MzMx?x-oss-process=image/auto-orient,1/interlace,1/resize,w_1440,h_1440/quality,q_95/format,jpg" alt="" original-src="https://imageproxy.pbkrs.com/https://rt.prnewswire.com/rt.gif/query-RGF0ZUlkPTIwMjYwNDI3Jk5ld3NJdGVtSWQ9UEg0NDMzMSZUcmFuc21pc3Npb25fSWQ9MjAyNjA0MjcxMjQ4UFJfTkVXU19VU1BSX19fX19QSDQ0MzMx"/></p>

<p>SuperTruth Inc. 推出了数据信任指数™（Data Trust Index™, DTI™），这是一个在八个维度上对健康数据记录进行评分的框架，包括来源和同意，以增强对医疗人工智能的信任。经过对 105,000 份肿瘤学记录的验证，DTI™将分析时间减少了 95%，并旨在解决被拒绝的保险索赔和临床试验失败等问题。DTI™旨在为每个记录提供一个可见的、可审计的信任评分，并为各种医疗应用设定最低信任阈值。SuperTruth 致力于使这一标准公开可用</p>

<p><em>The Data Trust Index™ scores every health record across eight dimensions before it reaches a model, a claim, or a clinical decision. Validated on 105,000 records with imaware. Now available on Zenodo.</em></p>
<div class="lb-trans"><p><em>数据信任指数™在健康记录达到模型、索赔或临床决策之前，针对八个维度进行评分。经过 imaware 验证，现已在 Zenodo 上发布。</em></p>
</div><p>, /PRNewswire/ -- A denied insurance claim built on a six-year-old lab value. A failed clinical trial whose enrollment cohort was poisoned by duplicate records. A diagnostic AI that surfaced a finding traced back to data no one could vouch for. These are not edge cases. They are the operating conditions of an industry that has scaled artificial intelligence faster than it has scaled trust.</p>
<div class="lb-trans"><p>, /PRNewswire/ -- 一项基于六年前实验室数据的保险索赔被拒。一项临床试验因重复记录而导致的招募队列失败。一个诊断 AI 发现的结果追溯到无人能够证明的数据。这些并非边缘案例，而是一个在人工智能发展速度超过信任建立速度的行业的运营条件。</p>
</div><p>Continue Reading</p>
<div class="lb-trans"><p>继续阅读</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://www.prnewswire.com/news-releases/null" alt="" original-src="https://www.prnewswire.com/news-releases/null"/></p>
<p>SuperTruth's Data Trust Index™ (DTI™) was validated at scale across an imaware deployment, standardizing 105,000 oncology diagnostic records, reducing analysis time by 95 percent, and eliminating more than 200 hours of monthly manual processing. The DTI™ is the first formal framework for scoring health data records across eight independently weighted trust dimensions. Full methodology at supertruth.ai/dti. DOI 10.5281/zenodo.19601616</p>
<div class="lb-trans"><p>SuperTruth 的数据信任指数™（DTI™）在 imaware 部署中经过大规模验证，标准化了 105,000 个肿瘤诊断记录，分析时间减少了 95%，每月手动处理时间减少了 200 多个小时。DTI™是第一个在八个独立加权信任维度上对健康数据记录进行评分的正式框架。完整的方法论请见 supertruth.ai/dti。DOI 10.5281/zenodo.19601616</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://www.prnewswire.com/news-releases/null" alt="" original-src="https://www.prnewswire.com/news-releases/null"/></p>
<p>The Data Trust Index™ scores a health record across eight dimensions - provenance, consent, recency, quality, concordance, validation, breadth, and stability - and produces a single composite score from 0 to 100. Live demo at supertruth.ai/dti.</p>
<div class="lb-trans"><p>数据信任指数™在八个维度上对健康记录进行评分——来源、同意、时效、质量、一致性、验证、广度和稳定性——并生成一个从 0 到 100 的综合评分。实时演示请见 supertruth.ai/dti。</p>
</div><p>SuperTruth Inc. today published the first formal framework designed to fix that. The Data Trust Index™ (DTI™) scores health data records across eight dimensions, including provenance, consent, recency, and concordance, and produces a single composite score from 0 to 100. The full methodology is available on Zenodo with a permanent DOI: 10.5281/zenodo.19601616.</p>
<div class="lb-trans"><p>SuperTruth Inc.今天发布了第一个旨在解决这一问题的正式框架。数据信任指数™（DTI™）在八个维度上对健康数据记录进行评分，包括来源、同意、时效和一致性，并生成一个从 0 到 100 的综合评分。完整的方法论可在 Zenodo 上获取，永久 DOI：10.5281/zenodo.19601616。</p>
</div><p>Most data quality tools report on data after it has been copied into a warehouse. The DTI™ scores at the source, in SQL, and the score travels with the record permanently. Quality tells you what is in a record. Trust tells you whether you should act on it.</p>
<div class="lb-trans"><p>大多数数据质量工具在数据被复制到仓库后进行报告。DTI™在源头进行评分，在 SQL 中评分，且评分与记录永久携带。质量告诉你记录中有什么，信任告诉你是否应该对此采取行动。</p>
</div><p>&#34;Every model deployed in healthcare today inherits the trust posture of its weakest input,&#34; said Jason Alan Snyder, Co-Founder and Chief AI Officer of SuperTruth. &#34;The DTI is the first attempt to make that posture visible, scored, and auditable at the level of the individual record. We are publishing it openly because the industry will not converge on a standard it cannot inspect.&#34;</p>
<div class="lb-trans"><p>&#34;今天在医疗保健中部署的每个模型都继承了其最弱输入的信任姿态，&#34; SuperTruth 的联合创始人兼首席 AI 官 Jason Alan Snyder 表示。&#34;DTI 是首次尝试使这种姿态在单个记录层面上可见、可评分和可审计。我们公开发布它，因为行业不会在无法检查的标准上达成共识。&#34;</p>
</div><p>The framework is already extending. SuperTruth has filed a provisional patent covering a ninth DTI dimension, the Behavioral Integrity Index, which scores the conduct of AI agents operating against trusted data. The DTI is designed as a living standard rather than a fixed schema.</p>
<div class="lb-trans"><p>该框架已经在扩展。SuperTruth 已申请一项临时专利，涵盖第九个 DTI 维度，即行为完整性指数，该指数对在可信数据上操作的 AI 代理的行为进行评分。DTI 旨在作为一个动态标准，而不是固定的模式。</p>
</div><p><strong>Three places where trust is the deciding factor:</strong></p>
<div class="lb-trans"><p><strong>信任是决定性因素的三个领域：</strong></p>
</div><p><strong>Healthcare AI and health systems.</strong> The FDA's AI/ML SaMD action plan and HHS data-provenance rules both require developers to document the characteristics of training data. The DTI™ provides the per-record signal that those frameworks demand.</p>
<div class="lb-trans"><p><strong>医疗 AI 和健康系统。</strong> FDA 的 AI/ML SaMD 行动计划和 HHS 数据来源规则都要求开发者记录训练数据的特征。DTI™提供了这些框架所需的每条记录信号。</p>
</div><p><strong>Pharmaceutical and clinical research.</strong> Failed or delayed trial enrollment costs the industry an estimated $2.4 billion annually. The DTI™ establishes a minimum trust floor, Gold (80 or above), so only defensible records enter cohort matching.</p>
<div class="lb-trans"><p><strong>制药和临床研究。</strong> 失败或延迟的试验招募每年给行业造成约 24 亿美元的损失。DTI™建立了一个最低信任底线，金级（80 分或以上），以确保只有可辩护的记录进入队列匹配。</p>
</div><p><strong>Insurance and risk underwriting.</strong> The DTI™ enables a new class of actuarial input: scored population health data with documented provenance and consent. Underwriting is built on evidence rather than assumptions.</p>
<div class="lb-trans"><p><strong>保险和风险承保。</strong> DTI™使一种新的精算输入成为可能：具有文档来源和同意的评分人口健康数据。承保基于证据而非假设。</p>
</div><p><strong>Validated at scale.</strong> A deployment with imaware, an oncology diagnostics company, standardized 105,000 diagnostic records using the DTI™ methodology. Analysis time was reduced by 95 percent, eliminating more than 200 hours of monthly manual processing.</p>
<div class="lb-trans"><p><strong>大规模验证。</strong> 与肿瘤诊断公司 imaware 的部署，使用 DTI™方法标准化了 105,000 个诊断记录。分析时间减少了 95%，每月手动处理时间减少了 200 多个小时。</p>
</div><p><em>&#34;The lab industry has never had a trust standard. DTI created one.&#34;</em>— Brodie Flanders, CEO, imaware</p>
<div class="lb-trans"><p><em>&#34;实验室行业从未有过信任标准。DTI 创造了一个。&#34;</em>— Brodie Flanders，imaware 首席执行官</p>
</div><p>A live implementation of the pipeline is accessible at supertruth.ai/dti. Three synthetic patient records can be scored in real time without a login.</p>
<div class="lb-trans"><p>该管道的实时实施可在 supertruth.ai/dti 访问。三个合成患者记录可以实时评分，无需登录。</p>
</div><p><strong>About SuperTruth</strong></p>
<div class="lb-trans"><p><strong>关于 SuperTruth</strong></p>
</div><p>SuperTruth is the trust layer underneath health data and AI. The company's platform scores every health record across eight dimensions before it reaches a model, a claim, or a clinical event. imaware is a launch partner. The DTI™ and Data Trust Index are trademarks of SuperTruth Inc., protected by a multi-patent portfolio covering the AI Orchestration Engine, the DTI scoring methodology, and the Behavioral Integrity Index.</p>
<div class="lb-trans"><p>SuperTruth 是健康数据和 AI 的信任层。该公司的平台在健康记录达到模型、索赔或临床事件之前，对每条健康记录在八个维度上进行评分。imaware 是启动合作伙伴。DTI™和数据信任指数是 SuperTruth Inc.的商标，受多项专利组合保护，涵盖 AI 编排引擎、DTI 评分方法论和行为完整性指数。</p>
</div><p><strong>Media Contact:</strong></p>
<div class="lb-trans"><p><strong>媒体联系人：</strong></p>
</div><p>Rheanna Crescenzo</p>
<div class="lb-trans"><p>Rheanna Crescenzo</p>
</div><p>Director of Marketing, SuperTruth Inc.</p>
<div class="lb-trans"><p>SuperTruth Inc.市场总监</p>
</div><p>(215) 918-4140</p>
<div class="lb-trans"><p>(215) 918-4140</p>
</div><p>[email protected]</p>
<div class="lb-trans"><p>[email protected]</p>
</div><p>SOURCE SuperTruth, Inc.</p>
<div class="lb-trans"><p>来源 SuperTruth, Inc.</p>
</div><p><img src="https://imageproxy.pbkrs.com/https://rt.prnewswire.com/rt.gif/query-RGF0ZUlkPTIwMjYwNDI3Jk5ld3NJdGVtSWQ9UEg0NDMzMSZUcmFuc21pc3Npb25fSWQ9MjAyNjA0MjcxMjQ4UFJfTkVXU19VU1BSX19fX19QSDQ0MzMx" alt="" original-src="https://rt.prnewswire.com/rt.gif?NewsItemId=PH44331&amp;Transmission_Id=202604271248PR_NEWS_USPR_____PH44331&amp;DateId=20260427"/></p>

健康 AI 在未评分的数据上进行了训练。SuperTruth 刚刚发布了一个标准来解决这个问题