SHAKIR ANSARI
How We Developed an AI Medical Assistant for Operational Efficiency
Discover how our AI medical assistant streamlined operations and enhanced patient care, empowering staff with advanced AI solutions for greater efficiency.
- Operational Efficiency: The implementation of an AI medical assistant significantly streamlined daily report management, reducing time spent on administrative tasks by approximately 2 hours per staff member.
- Enhanced Insights: The AI agent provided real-time, actionable insights, allowing staff to make informed decisions about patient care and performance tracking.
- Improved Patient Care: By automating routine tasks, the office personnel could focus more on patient interactions, ultimately enhancing the overall quality of care provided.
- Dynamic Data Management: The solution facilitated seamless updates to patient information, improving data accuracy and accessibility across the office.
- Substantial Time Savings: Collectively, the AI agent saved between 30 to 60 hours of work weekly for front desk and nursing staff, optimizing workflows and increasing productivity.
- Technology Integration: Utilized a robust tech stack, including React JS, Laravel, PHP, MySQL, and OpenAI, to create a reliable and efficient AI solution tailored for healthcare needs.
Business Type
Healthcare
Live On
12/10/24
Location
Orlando, FL
Work
React JS, Laravel ,PHP , MySQL , OpenAI
Categories
The pediatric office had clear goals but faced issues that challenged their operations.
Key objectives included:
- Streamlining Daily Reports: The Office Manager needed to triage a 20+ page report daily for insights and recommendations.
- Maximizing Patient Tracking: Understanding patient demographics, insurance, and vaccine statuses required efficiency.
- Meeting Appointment Targets: Ensuring a daily goal of 60 patients seen and 100 appointments scheduled was vital for operational efficiency.
Additionally, the nursing staff encountered their own challenges:
- Evaluating Clinical Status: Nursing staff dedicated 5 – 9 minutes assessing each patient’s health updates and ensuring care plans were in place.
- Appointment Management: Consistently tracking confirmation statuses and missed appointments was imperative for improving patient care.
Several primary challenges slowed down the workflow in the pediatric office.
- Unstructured Reporting: The daily reports were not organized, making it difficult to extract critical insights.
- Data Disorganization: Patient information was scattered across various sources, complicating access.
- HIPAA Compliance: Protecting sensitive patient data while accessing information was increasingly complex.
- EHR Integration Difficulties: Extracting and connecting data from the EHR system posed significant hurdles.
To address these challenges, we implemented a robust AI solution.
- AI Agent Development: The AI agent was designed to triage the daily report quickly and efficiently.
- Automated Recommendations: It generated actionable insights and sent them directly to staff via text.
- Interactive Communication: The AI agent allowed staff to ask questions about the report, providing real-time assistance.
- Data Management Capability: Implemented tools to ensure data accuracy and integrity for patient records.
To bring our solution to life, we utilized several technologies:
- React JS: For building the user interface, ensuring it’s intuitive.
- Laravel: To streamline and manage backend processes effectively.
- PHP: For handling server-side logic and enhancing performance.
- MySQL: For managing and storing patient and operational data.
- OpenAI: To enhance the capabilities of the AI agent in response accuracy.
The entire project unfolded over three weeks and followed a structured development cycle:
- Initial Consultation: We assessed workflows to identify pain points and set clear automation goals.
- Planning and Design: Our team designed the architecture, accounting for necessary integrations and task flows.
- Development Phase: We built the automation solution, focusing on automation and reporting functionalities.
- Testing and Quality Assurance: We rigorously tested all features to ensure
- Deployment: The solution was launched in a live environment, accompanied by training for the staff to ensure effective use.
- Ongoing Maintenance and Support: We monitored performance continuously, providing troubleshooting and optimization services as needed.
The results of implementing the AI agent in healthcare were impressive.
Each staff member saved approximately 2 hours daily due to streamlined processes.
For patients seen daily, this led to significant productivity gains.
- Dynamic Patient Data System: The AI model enabled easy updates to patient information, fostering seamless operations.
- Enhanced Performance Insight: Daily summaries allowed staff to track performance against established targets clearly.
- Efficiency Gains: The AI agent collectively saved 30 to 60 hours weekly for front desk and nursing staff, improving the overall quality of patient care.