AI Transparency on FHIR, published by HL7 International / Electronic Health Records. This guide is not an authorized publication; it is the continuous build for version 0.1.0 built by the FHIR (HL7® FHIR® Standard) CI Build. This version is based on the current content of https://github.com/HL7/aitransparency-ig/ and changes regularly. See the Directory of published versions
{
"resourceType" : "Device",
"id" : "Note-ModelCard",
"text" : {
"status" : "generated",
"div" : "<div xmlns=\"http://www.w3.org/1999/xhtml\"><p class=\"res-header-id\"><b>Generated Narrative: Device Note-ModelCard</b></p><a name=\"Note-ModelCard\"> </a><a name=\"hcNote-ModelCard\"> </a><p><b>identifier</b>: <code>http://example.org/ehr/client-ids</code>/goodhealth</p><p><b>manufacturer</b>: Acme Devices, Inc</p><p><b>type</b>: <span title=\"Codes:\">AI/LLM</span></p><h3>Versions</h3><table class=\"grid\"><tr><td style=\"display: none\">-</td><td><b>Value</b></td></tr><tr><td style=\"display: none\">*</td><td>10.23-23423</td></tr></table><p><b>contact</b>: <a href=\"http://example.org\">http://example.org</a></p><p><b>note</b>: @2023-10-01 00:00:00+0000</p><blockquote><div><hr/>\n<p>language:</p>\n<ul>\n<li>en\nlicense:</li>\n<li>bsd-3-clause\nannotations_creators:</li>\n<li>crowdsourced</li>\n<li>expert-generated\nlanguage_creators:</li>\n<li>found\nmultilinguality:</li>\n<li>monolingual\nsize_categories:</li>\n<li>n<1K\ntask_categories:</li>\n<li>image-segmentation\ntask_ids:</li>\n<li>semantic-segmentation\npretty_name: Sample Segmentation</li>\n</ul>\n<hr/>\n<h1>Dataset Card for Sample Segmentation</h1>\n<p>This is a sample dataset card for a semantic segmentation dataset.</p>\n</div></blockquote></div>"
},
"identifier" : [
{
"system" : "http://example.org/ehr/client-ids",
"value" : "goodhealth"
}
],
"manufacturer" : "Acme Devices, Inc",
"type" : {
"text" : "AI/LLM"
},
"version" : [
{
"value" : "10.23-23423"
}
],
"contact" : [
{
"system" : "url",
"value" : "http://example.org"
}
],
"note" : [
{
"time" : "2023-10-01T00:00:00Z",
"text" : "---\nlanguage:\n- en\nlicense:\n- bsd-3-clause\nannotations_creators:\n- crowdsourced\n- expert-generated\nlanguage_creators:\n- found\nmultilinguality:\n- monolingual\nsize_categories:\n- n<1K\ntask_categories:\n- image-segmentation\ntask_ids:\n- semantic-segmentation\npretty_name: Sample Segmentation\n---\n\n# Dataset Card for Sample Segmentation\n\nThis is a sample dataset card for a semantic segmentation dataset."
}
]
}