Case Study on AI EMR Scribe for Pediatric Clinics: TELUS CHR & CliniScripts

Background & Industry Context

A multidisciplinary pediatric occupational therapy and speech clinic in Ontario operated using TELUS CHR as its primary EMR platform. TELUS CHR is a cloud-based system designed for allied health professionals, offering scheduling, charting, billing, and workflow automation modules. Despite these capabilities, the clinic’s reliance on TELUS CHR’s built-in note-taking tool reached its limits. While TELUS markets automation features within its EMR suite, the native module offered only basic AI summaries and minimal customization—insufficient for mapping progress notes to individualized developmental goals or payer criteria.

This challenge reflects a broader trend across healthcare practices that are adopting AI EMR Scribe to reduce administrative workloads and improve clinical documentation quality. Research on ambient AI scribes and intelligent note-generation systems indicates measurable reductions in after-hours documentation and improved same-day note completion rates (JAMA Network, 2024; NEJM Catalyst, 2025).

At the clinic, therapists reported spending an average of 90 minutes per day outside work hours finalizing session notes. The situation contributed to documentation backlogs, delayed billing submissions, and increased risk of compliance errors.

Challenges

1. Rigid Templates and Goal Mapping
   TELUS CHR’s default templates lacked flexibility, preventing automatic linkage between progress notes, individualized goals, and payer documentation criteria. Therapists had to manually re-enter data across multiple fields.

2. Integration Restrictions under Vendor Policy
   The clinic’s corporate IT policy prohibited installing new third-party integrations. Any change required TELUS vendor re-approval, creating long administrative delays incompatible with clinical demands.

3. Privacy and Compliance Constraints
   Changes to the EMR environment required new privacy impact assessments under PHIPA and HIPAA. Each modification added months to deployment timelines and carried compliance risks.

4. Generic AI Summaries
   The existing AI summary module produced repetitive or overly generalized notes that missed important clinical nuances, particularly in pediatric occupational therapy and behavior therapy contexts where progress is highly individualized.

5. Downtime and Connectivity Risks
   Internet outages or EMR slowdowns occasionally disrupted documentation workflows. In a pediatric practice where sessions occur across multiple rooms and community sites, downtime directly impacted note completion rates.

CliniScripts Solution: Browser-Based Copilot Layer

Instead of replacing TELUS CHR, CliniScripts deployed an EMR-agnostic Chrome Copilot Layer that operates entirely within the clinician’s browser. This approach required no installations, no API access, and no coordination with the EMR vendor—yet delivered the benefits of AI Healthcare Solutions seamlessly integrated into daily workflows.

Key Components and Workflow:

• Ambient Scribing: Captured live or recorded session audio, transforming natural therapist–client conversation into structured SOAP and DAP notes directly within TELUS CHR’s native text fields.

• Zero IT Disruption: Operated client-side, ensuring zero system downtime or interference with TELUS servers, while maintaining PHIPA and HIPAA compliance.

• Audit-Ready Templates: Automatically mapped session content to developmental goals, ICD-10 diagnostic codes, and payer documentation requirements.

• Specialist Copilot Functions: Suggested parent-communication drafts, flagged goal drift, and summarized intervention outcomes across multiple sessions.

• Secure Local Encryption: Ensured all sensitive data remained on the clinician’s device until securely synced, meeting health data protection standards.

By embedding an ambient AI scribe directly into TELUS CHR’s existing user interface, CliniScripts enabled real-time documentation improvements without violating IT or vendor restrictions.

Results (after 30 days)

Clinician Feedback

“We didn’t change our EMR or IT setup — CliniScripts just started working. My notes are twice as accurate, and I get to go home on time.”
— Lead OT, Pediatric Development Centre

“It’s like TELUS CHR suddenly got smarter. The Copilot surfaces what matters in each session.”
— Clinic Director

Discussion and Insights

The clinic achieved significant efficiency gains consistent with findings from healthcare AI studies reporting 50–70% reductions in administrative documentation time (AMA, 2024). The integration of an ambient AI scribe represented a new generation of AI Healthcare Solutions that can operate securely at the browser layer without API access.

By addressing documentation bottlenecks without replacing existing EMR infrastructure, CliniScripts provided a scalable model for clinics seeking to modernize workflows. The browser-based Copilot delivered the advantages of automation while maintaining compliance, interoperability, and data privacy which is a rare combination in healthcare IT ecosystems.

Furthermore, the system’s ability to preserve nuance and context made it especially suitable for pediatric occupational therapy and multidisciplinary care, where communication subtleties and progress indicators are critical to accurate reporting.

Limitations

• The data reflects a single-clinic pilot of 30 days and may not fully generalize to larger organizations or other EMR environments.

• Accuracy depends on audio clarity; noisy or overlapping conversations may reduce AI transcription precision.

• Long-term sustainability, ROI measurement, and therapist retention effects require continued study.

Future Directions

Following the pilot’s success, the clinic plans to expand CliniScripts’ implementation across all therapy teams and introduce analytics dashboards for quality auditing and longitudinal goal tracking. The approach demonstrates how AI Healthcare Solutions can enhance EMR utility and clinician satisfaction in pediatric settings without vendor disruption.

Future research should explore similar models for speech-language pathology, ABA, and behavioral therapy practices, measuring downstream impacts on clinical efficiency, payer compliance, and client outcomes.