Data Lake / Data Warehouse Modernization · Enterprise Knowledge Search
To serve its global patients, Operation Smile needed better support for translation and localized data input, faster ways to identify and classify cleft conditions, and a replacement for manual data analysis in spreadsheets.
Reported impact
The digitalization of forms and the use of Azure AI have reduced the time required for completing reports from four to five hours to just 15 to 20 minutes.
Operation Smile built its Microsoft solution to improve knowledge retrieval and expert-assistance workflows. To serve its global patients, Operation Smile needed better support for translation and localized data input, faster ways to identify and classify cleft conditions, and a replacement for manual data analysis in spreadsheets. Key components included Microsoft Fabric held and organized governed data, and Microsoft OneLake held and organized governed data. Operational data flows into Microsoft Fabric, where Microsoft Fabric applies transformations and business logic before Microsoft Fabric delivers governed insights to teams across Operation Smile. The stack stayed governed and extensible on Microsoft. The digitalization of forms and the use of Azure AI have reduced the time required for completing reports from four to five hours to just 15 to 20 minutes.
Operational data flows into Microsoft Fabric, where Microsoft Fabric applies transformations and business logic before Microsoft Fabric delivers governed insights to teams across Operation Smile.
Insights from Microsoft Azure OpenAI Service allow us to deliver more effective care and create a lasting impact in communities," says Sean Riordan, Associate Vice President of Information Technology at Operation Smile.
Insights from Microsoft Azure OpenAI Service allow us to deliver more effective care and create a lasting impact in communities.
Operation Smile chose to work with Azure OpenAI Service, Fabric, and Power Apps, in collaboration with Microsoft and partner Squadra to streamline data input, accelerate patient triage, and replace manual processes.
The digitalization of forms and the use of Azure AI have reduced the time required for completing reports from four to five hours to just 15 to 20 minutes.
To serve its global patients, Operation Smile needed better support for translation and localized data input, faster ways to identify and classify cleft conditions, and a replacement for manual data analysis in spreadsheets.
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Scoring methodology
Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.
Traceability
Field coverage shows which facts each source supports. Dates are shown only when documented by the source.
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