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articles/azure-health-insights/trial-matcher/faq.md

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# Trial Matcher frequently asked questions
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You’ll find answers to commonly asked questions about Trial Matcher, part of Azure AI Health Insights service, in this article
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You find answers to commonly asked questions about Trial Matcher, part of Azure AI Health Insights service, in this article.
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## Is there a workaround for patients whose clinical documents exceed the # characters limit?
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Unfortunately, we don't support patients with clinical documents that exceed # characters limit. You might try excluding the progress notes.

articles/azure-health-insights/trial-matcher/support-and-help.md

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---
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# Trial Matcher support and help options
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# Trial Matcher - support and help options
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Are you just starting to explore the functionality of the Trial Matcher model? Perhaps you're implementing a new feature in your application. Or after using the service, do you have suggestions on how to improve it? Here are options for where you can get support, stay up-to-date, give feedback, and report bugs for the Trial Matcher model.
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Are you just starting to explore the functionality of the Trial Matcher model? Perhaps you are implementing a new feature in your application? Or after using the service, do you have suggestions on how to improve it? Here are options for where you can get support, stay up-to-date, give feedback, and report bugs for the Trial Matcher model.
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## Create an Azure support request
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articles/azure-health-insights/trial-matcher/transparency-note.md

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title: Transparency Note for Trial Matcher
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titleSuffix: Azure AI Health Insights
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description: Microsoft's Transparency Note for Trial Matcher intended to help understand how our AI technology works
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description: Microsoft's Transparency Note for Trial Matcher intended to help understand how our AI technology works.
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services: azure-health-insights
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author: adishachar
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manager: urieinav
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### System behavior
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Trial Matcher analyzes and matches clinical trial eligibility criteria and patients’ clinical information.
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Clinical trial eligibility criteria are extracted from clinical trials available on clinicaltrials.gov or provided by the service user as a custom trial. Patient clinical information is provided either as unstructured clinical note, FHIR bundles or key-value schema.
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Clinical trial eligibility criteria are extracted from clinical trials available on clinicaltrials.gov or provided by the service user as a custom trial. Patient clinical information is provided either as unstructured clinical note, FHIR bundles, or key-value schema.
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Trial Matcher uses [Text Analytics for health](/azure/ai-services/language-service/text-analytics-for-health/overview) to identify and extract medical entities in case the information provided is unstructured, either from clinical trial protocols from clinicaltrials.gov, custom trials and patient clinical notes.
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Trial Matcher uses [Text Analytics for health](/azure/ai-services/language-service/text-analytics-for-health/overview) to identify and extract medical entities in case the information provided is unstructured, either from clinical trial protocols from clinicaltrials.gov, custom trials, and patient clinical notes.
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When Trial Matcher is in patient centric mode, it returns a list of potentially suitable clinical trials, based on the patient clinical information. When Trial Matcher is in trial centric mode, it returns a list of patients who are potentially eligible for a clinical trial. The Trial Matcher results should be reviewed by a human decision maker for a further full qualification.
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Trial Matcher results also include an explainability layer. When a patient appears to be ineligible for a trial, Trial Matcher provides evidence of why the patient is not eligible to meet the criteria of the specific trial.

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