Transforming Clinical Context Gathering and Patient Care Coordination
Presha Multi-Specialty Clinics, a growing network of 12 clinics across three states, was struggling with a fundamental challenge in modern healthcare: enabling providers to efficiently gather and understand the complete clinical context of each patient. With specialists across 8 different disciplines and patients often seeing multiple providers, clinicians were spending excessive time reviewing fragmented reports and records before appointments.
Key challenges included:
Average time spent reviewing patient context
Care decisions delayed due to incomplete information
Weekly staff time on report compilation
Klyrone implemented a comprehensive solution combining our Clinical Diagnosis Assistant and Healthcare Agents to transform how providers access, understand, and utilize patient context across specialties.
We deployed our AI system to analyze and synthesize patient information from all sources (EHR, lab systems, imaging reports, specialist notes) into concise, specialty-specific clinical summaries tailored to each provider's needs and the specific appointment purpose.
Our AI identifies and highlights the most relevant clinical information based on the patient's current complaints, the provider's specialty, and known clinical relationships between conditions, medications, and treatments.
Autonomous agents gather and organize all relevant clinical information before appointments, identifying potential gaps in documentation and proactively requesting missing information from patients or other providers.
Our system creates and maintains a unified care plan visible to all providers, automatically alerting relevant specialists when changes are made that might impact their treatment approaches.
We established secure connections to all clinical data sources, including the EHR, laboratory systems, imaging repositories, and specialty-specific applications.
We trained our AI models on specialty-specific clinical workflows and information needs, ensuring relevance for each provider type.
We conducted detailed workflow analyses with providers from each specialty to understand their unique information needs and decision-making processes.
We implemented the solution in phases, starting with primary care and cardiology before expanding to all specialties, allowing for continuous refinement based on user feedback.
We established an ongoing feedback loop with clinical users to continuously improve the relevance and usefulness of the contextual information provided.
Reduction in time spent reviewing patient context before appointments
Increase in identification of clinically significant information
Reduction in administrative time spent compiling reports
Decrease in duplicate testing across specialties
Annual cost savings from improved operational efficiency
Increase in provider satisfaction scores
Provider time spent on context gathering before and after Klyrone implementation
"Klyrone's solution has completely transformed how our specialists prepare for patient visits. Instead of spending precious minutes digging through fragmented reports and notes, our providers now have immediate access to a comprehensive, contextually relevant summary of each patient's history across all specialties. This has not only saved time but has significantly improved our clinical decision-making and care coordination. We're identifying important clinical connections that were previously being missed."
Different specialties require different types of contextual information, making customization essential for adoption and clinical utility.
Improving visibility into care decisions across specialties leads to better coordination and reduces redundant or conflicting treatments.
AI can identify subtle clinical relationships and patterns across specialties that might be missed in traditional siloed care approaches.
Learn how Klyrone can help your multi-specialty practice improve care coordination and clinical decision-making.
Klyrone