AI case study

Quicker medical documentation

by
Doctolib
Context

Doctolib leverages Microsoft Azure OpenAI Service and Mistral Large on Azure to develop an AI-powered virtual assistant that transcribes medical consultations in real-time and generates summaries within 15 seconds, allowing practitioners to focus more on patient care.

Results

Medical summaries generated in 15 seconds, practitioners spend twice as much time with patients, positive feedback from over 400 health professionals.

Results not reported in the source
Industry
Healthcare
Region
Europe
Published
December 3, 2024
Agent type
Employee Agents
AI provider
Microsoft
Models/tools
Not disclosed
ICE score
486
The ICE framework in this database provides a quick way to assess the feasibility and potential impact of AI use cases, with higher scores signaling more actionable opportunities.

Impact: Potential benefits to the business.

Confidence: Likelihood of achieving expected results.

Ease: Simplicity of implementation in terms of resources and time.

ICE Score: Calculated by multiplying the component scores.

Note:
Each score is AI-generated based on available data and should be viewed merely as a general guideline for deeper exploration of the use cases.
Impact
9
Confidence
9
Ease
6

61

AI use cases in

Healthcare

See All

Medigold Health

Healthcare
Use case
Faster medical report generation
Context

Medigold Health, a UK occupational health provider, used Microsoft Azure OpenAI Service to automate medical report generation, reducing the time clinicians spend on paperwork. By integrating Azure OpenAI Service with Azure App Service, Azure Cosmos DB, and Azure SQL Database, they developed an AI application that generates reports from clinicians' consultation notes in about 15 seconds, allowing clinicians to focus more on patient care.

Models/tools

Acentra Health

Healthcare
Use case
Faster writing of appeal letters
Context

Acentra Health developed MedScribe, a web app that uses Azure OpenAI Service to generate draft letters responding to healthcare service appeals.

Models/tools

Mars

Healthcare
Data Agents
Quick win
Use case
Faster pet diagnosis
Context

Mars, a global petcare company, uses Microsoft's Azure AI model catalog, choosing Mistral for its model as a service offering, to accelerate the development and deployment of its AI-powered solution RapidRead. RapidRead interprets pet radiology scans quickly, assisting veterinarians in diagnosing medical conditions faster. By employing Azure Machine Learning, Mars can process millions of images and reports, supporting veterinarians with AI-enhanced tools.

Models/tools
Explore industries

224

companies using

Employee Agents

See All
Use case
Faster manga translation
Context

Orange uses Anthropic's Claude to automate manga translation, combining translation agent models with inpainting technology and direct image input to handle visual elements, streamlining localization and allowing translators to focus on nuance.

Models/tools
...
3
Use case
Efficient customer support interactions
Context

Uber uses OpenAI's ChatGPT Enterprise to enhance customer support by providing AI assistants that offer empathetic and efficient responses, automate investigations, and augment human agent capabilities. The AI also helps personalize and optimize interactions across their multi-sided platform.

Models/tools
...
1
Use case
Efficient customer service
Context

Amazon uses Claude to power their AI-driven customer service assistant, Amazon Q in Connect, which serves agents and end-customers. It provides real-time AI assistance to agents handling complex cases and offers end-customers instant, personalized self-service options.

Models/tools
...
1
Explore agents

143

solutions powered by

Microsoft

See All
Use case
Faster customer issue resolution
Context

Vodafone uses Azure OpenAI Service, Azure AI Foundry, Microsoft Copilot, and Azure AI Search to enhance their virtual assistant TOBi and develop SuperAgent to assist customer service agents. TOBi uses conversational AI to handle customer inquiries, while SuperAgent helps agents solve complex problems faster.

Models/tools
...
4
Use case
Faster medical report generation
Context

Medigold Health, a UK occupational health provider, used Microsoft Azure OpenAI Service to automate medical report generation, reducing the time clinicians spend on paperwork. By integrating Azure OpenAI Service with Azure App Service, Azure Cosmos DB, and Azure SQL Database, they developed an AI application that generates reports from clinicians' consultation notes in about 15 seconds, allowing clinicians to focus more on patient care.

Models/tools
...
1
Use case
Faster writing of appeal letters
Context

Acentra Health developed MedScribe, a web app that uses Azure OpenAI Service to generate draft letters responding to healthcare service appeals.

Models/tools
...
1
Explore AI providers

105

AI use cases in

Europe

See All
Use case
Faster customer issue resolution
Context

Vodafone uses Azure OpenAI Service, Azure AI Foundry, Microsoft Copilot, and Azure AI Search to enhance their virtual assistant TOBi and develop SuperAgent to assist customer service agents. TOBi uses conversational AI to handle customer inquiries, while SuperAgent helps agents solve complex problems faster.

Models/tools
...
4
Use case
Faster medical report generation
Context

Medigold Health, a UK occupational health provider, used Microsoft Azure OpenAI Service to automate medical report generation, reducing the time clinicians spend on paperwork. By integrating Azure OpenAI Service with Azure App Service, Azure Cosmos DB, and Azure SQL Database, they developed an AI application that generates reports from clinicians' consultation notes in about 15 seconds, allowing clinicians to focus more on patient care.

Models/tools
...
1
Use case
Scaling personalized recommendations
Context

Zalando worked with OpenAI to develop the Zalando Assistant, an AI-powered tool powered by GPT-4o mini that provides personalized content recommendations and streamlines product discovery across 25 markets in over 20 languages. They enhanced their evaluation framework with component-specific evaluations and improved few-shot prompting, and migrated from GPT-3.5 to GPT-4o mini for better multilingual and instruction-following capabilities.

Models/tools
...
1
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