From Chaos to Clarity: Sophisticated AI Brings Precision to Telemedicine & Specialist Care Routing
Even as telemedicine becomes a staple in many health systems and medical groups, accurately routing patients to the appropriate virtual care settings remains a significant challenge.
Why? The complexity of clinical decision-making requires advanced algorithms to ensure precision in patient care.
If your organization isn’t set up to withstand this level of complexity, you may experience several adverse effects, such as:
- Underuse of telemedicine offering: Patients who could be treated virtually may end up in emergency rooms or urgent care centers, causing overcrowding and increased costs.
- Delayed patient care: Inappropriate routing can delay necessary care, worsening patient outcomes.
- Scalability issues: Underutilizing telemedicine limits healthcare scalability, missing opportunities to improve patient flow and reduce costs. Over-reliance on in-person visits can lead to provider burnout, further challenging workforce resilience.
So, what’s the solution? Dive into our insights here.
In other healthcare AI news…
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Clearstep Unveils Advanced Self-Service Booking for Specialist Care
We’re excited to announce our new Specialist Qualification and Scheduling feature. In collaboration with a major New York health system, we’ve integrated a specialist scheduling decision tree into an automated, self-service workflow—pioneering this capability in the U.S.
Key advancements of the Sub-Specialist Scheduling Workflow include:
- Specialty evaluation: Assesses if a consultation is clinically appropriate for the patient (and if not, triages the patient elsewhere in the system).
- Specialist matching: Matches patients with the right professional based on symptom analysis and health system business rules.
- Identification of NPIs and visit types: Accurately identifies necessary provider details and visit types.
- Automated scheduling: Displays available appointment times for the identified subspecialists for patient booking.
- Integrated booking: Allows seamless appointment booking through EMR systems.
The Power Couple: AI and Predictive Analytics Transforming Patient Care
Combining the power of AI and predictive analytics can completely transform patient care and healthcare decision-making capabilities. How do we know this? We’ve seen it in action.
For example, our AI for digital self-triage has to led to:
- > 95% triage accuracy
- 85% faster than telephone triage
- + 95% of patients triaged to more clinically appropriate resources
- +60% of triage users converted to new patients
2024 Report: Health System Adoption of AI Virtual Assistants & Online Scheduling
Wondering what the top 647 health systems in the U.S. are up to tech adoption-wise?
Our latest report dives into the rates at which they’re adopting online scheduling and AI virtual assistants in 2024 (compared to 2022 and 2023), 4 real-world digital self-triage customer success stories, and an in-depth roadmap to effective digital self-triage + care navigation deployment.
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