AI-Powered Patient Intake and Diagnostic Screening
Tool

Health Innovation Hackathon | Linktree

Traditional dental patient intake processes rely on manual data collection, often causing inefficiencies, errors, and delays in care, which burden providers and risk missed diagnoses. The proposed solution is an AI-powered intake and diagnostic tool that automates data collection and analysis through an adaptive, AI-driven questionnaire developed with dental specialists. The system ensures thorough assessments, analyzes patient information, and provides a prioritized summary for professionals, highlighting risks and potential diagnoses like cavities or periodontal disease. This tool reduces errors, shortens wait times, and improves efficiency, enabling patient-centered care and streamlined workflows. Adaptable for other specialties, it enhances both provider and patient experiences.

Problem and solution

Literature review


Li, X., Tian, D., Li, W. et al. Artificial intelligence-assisted reduction in patients’ waiting time for outpatient 
process: a retrospective cohort study. BMC Health Serv Res, 21, 237 (2021). https://doi.org/10.1186/s12913-021-
06248-z

Gottliebsen, K., Petersson, G. (2020). Limited evidence of benefits of patient-operated intelligent primary care triage
tools: findings of a literature review. BMJ Health & Care Informatics, 27, e100114



References

Health Innovation Hackathon

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Health Innovation Hackathon

AI-Powered Patient Intake and Diagnostic Screening Tool