Case Study
AI-Driven Workflow Optimization
- Industry
- Healthcare
Overview
A leading IVF clinic chain operating across multiple locations was facing mounting pressure from growing patient demand, overwhelming administrative tasks, and rising staff burnout. With specialists spending hours each day on manual EHR updates and patient handoffs prone to delays, scaling operations without compromising care quality had become nearly impossible. Sphere partnered with the clinic to implement an AI-driven clinical assistant that automated documentation, centralized patient insights, and streamlined interdepartmental workflows – enabling growth, improved efficiency, and better staff satisfaction.
Challenges
Manual, disconnected processes were limiting the clinic's ability to grow. As patient volumes increased, operational inefficiencies made it difficult to scale without compromising the quality of care or overburdening staff.
Time-consuming administrative tasks
Specialists spent 2+ hours daily after patient visits updating EHRs, leading to errors and rework.
Overwhelmed staff
6 specialists handled 38–45 patients/day but struggled with growing demand, risking burnout and talent attrition.
Inefficient patient handoffs
Delays and miscommunication occurred when transferring patients between departments.
Fragmented patient data
Specialists wasted time reviewing lengthy histories instead of focusing on care.
Our Solution
Sphere implemented an AI Clinical Assistant integrated with the EHR system to:
1. Automate documentation
Voice-to-text AI transcribed patient interactions, auto-populated notes, and flagged inconsistencies.
2. Centralize patient insights
Summarized histories: key data (prior treatments, test results, preferences) surfaced in seconds. Next-action recommendations: AI suggested personalized treatment steps based on clinical guidelines.
3. Streamline workflows
Seamless handovers between departments with automated updates. Real-time alerts for critical patient milestones or follow-ups.
Key Achievements
45–51 patients/day
Specialists handled (vs. 38–45) within 2 months.
70% reduction
In after-hours administrative work (2 hours → 30 minutes daily).
90% fewer
EHR updates requiring rework due to AI accuracy.
40% drop
In staff turnover after 6 months of deployment as workloads became manageable.
Result
Within months of implementation, the clinic achieved a 25% increase in patient capacity – without expanding headcount. Operational efficiency gains and reduced administrative burden allowed staff to focus on care, improving well-being and retention. The organization doubled its annual patient intake, strengthened its reputation for innovation, and established itself as a leader in tech-enabled fertility care.
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