Enterprise Knowledge Search · Real-time Analytics · Sales Automation
Additionally, we wanted to reduce the cognitive overload on doctors by automating a doctor’s tasks and the interactions between doctor and patient while retaining the human touch." In response to these challenges, TatvaCare sought to develop a solution that could effectively bridge these gaps and enhance the overall user experience.
Reported impact
Additionally, we wanted to reduce the cognitive overload on doctors by automating a doctor’s tasks and the interactions between doctor and patient while retaining the human touch." Javed Khan, Chief Technology Officer, TatvaCare
Tatvacare, a Healthcare organization in India, modernized this enterprise knowledge search workload with Azure, Azure AI Services, Azure Operator Call Protection, and Microsoft Copilot. Additionally, we wanted to reduce the cognitive overload on doctors by automating a doctor’s tasks and the interactions between doctor and patient while retaining the human touch." In response to these challenges, TatvaCare sought to develop a solution that could effectively bridge these gaps and enhance the overall user experience. Azure provides the scalable cloud foundation hosting the customer’s modernized applications, data, and AI workloads. Azure AI Services supplies packaged AI capabilities such as language, speech, or document intelligence for the application flow. Azure Operator Call Protection supports part of the customer’s Microsoft-based application and data workflow.
Tatvacare connects EMR, laboratory systems into Microsoft 365 services, grounds responses through Azure AI Services, and serves generated answers and drafts back to users through Azure.
Additionally, we wanted to reduce the cognitive overload on doctors by automating a doctor’s tasks and the interactions between doctor and patient while retaining the human touch." In response to these challenges, TatvaCare sought to develop a solution that could effectively bridge these gaps and enhance the overall user experience.
Additionally, we wanted to reduce the cognitive overload on doctors by automating a doctor’s tasks and the interactions between doctor and patient while retaining the human touch." Javed Khan, Chief Technology Officer, TatvaCare
TatvaCare decided to deploy an intelligent AI assistant to bridge the gaps. Since the company’s existing IT infrastructure is based on Microsoft Office and Microsoft Azure, it preferred a Microsoft solution. With enterprise security and data privacy high on TatvaCare’s priority list, Azure's comprehensive security tools instilled confidence in managing data confidentiality, integrity, and availability, while ensuring transparency and accountability. Additionally, with factors such as time-to-market requirements and OpenAI advancements, the team decided to go with Microsoft.
TatvaCare designed and developed a customized bot, AskAI, using Azure OpenAI and Azure AI Services. The time-to-market for this solution was just two weeks. The solution provides numerous benefits. Since the AI assistant is powered by prompt engineering and access to patient context, the responses are hyper-personalized and score high on accuracy. Patient feedback is incorporated as input, further refining AskAI's behavior. This allows TatvaCare to serve more patients with tailored treatment steps based on their responses to the questions asked by the application. Using Azure cloud and Azure AI services, TatvaCare optimizes costs and resources as it can create services under dedicated resource groups. On the health practitioner's side, about 180,000 prescriptions are currently generated on the platform per month. Based on patient knowledge, advice and diagnosis, prescriptions can be generated with a 95% probability, which can be leveraged further to streamline a doctor's tasks.
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