AI Assistant for Administrative Efficiency of Clinics
Challenge
- The healthcare provider was grappling with a heavy administrative load, which was causing prolonged patient wait times and a strain on doctor availability.
Results
- Over two months of observation, patient wait times and administrative workload decreased. The efficiency gains allowed doctors to see 25% more patients daily, leading to a noticeable improvement in patient satisfaction and healthcare provider capacity.
Implementation Details
- The AI assistant was successfully developed and integrated with an existing digital medical platform. The chat was incorporated into the clinic’s business processes, efficiently collecting patient information regarding symptoms and health conditions, providing accurate referrals to appropriate doctors, initiating required clinical tests, and prefilling medical forms. This integration significantly reduced doctors’ time on administrative tasks, facilitating increased daily patient throughput.
Industry
Service
Type
- Case Study
Keywords
- AI Software Development
Roadmap
Initial assessment and requirement analysis with clinic stakeholders to understand integration needs and administrative bottlenecks.
Week 1
Designing AI Assistant features and the integration approach for merging the chatbot with the existing digital platform.
Week 2
Developing and validating such AI Assistant features as symptom data collection and condition identification.
Week 3–5
Implementing clinical test navigation and doctor referral features.
Week 6–7
Required medical forms identification and prefilling features.
Week 8–9
Integrating the AI service with the clinic’s digital platform and functionality testing. Pilot launch for a limited number of patients and doctors.
Week 10–11
Monitoring the service performance, gathering user feedback, and refining features for maximum efficiency and satisfaction.
Week 12
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Michael Gurbych
Director,
Operations and Finance
Operations and Finance
Roadmap
Initial assessment and requirement analysis with clinic stakeholders to understand integration needs and administrative bottlenecks.
Week 1
Designing AI Assistant features and the integration approach for merging the chatbot with the existing digital platform.
Week 2
Developing and validating such AI Assistant features as symptom data collection and condition identification.
Week 3–5
Implementing clinical test navigation and doctor referral features.
Week 6–7
Required medical forms identification and prefilling features.
Week 8–9
Integrating the AI service with the clinic’s digital platform and functionality testing. Pilot launch for a limited number of patients and doctors.
Week 10–11
Monitoring the service performance, gathering user feedback, and refining features for maximum efficiency and satisfaction.
Week 12
