Turning Consult Transcripts into Care-Plan Summaries for Patients

Two converging forces define modern outpatient medicine: an epidemic of clinician burnout and rising expectations for shared decision-making. The NHS 2024/25 operational plan calls for “joining up care” through digital tools that give patients clearer, faster access to their records and instructions. The guidance outlines a system-wide ambition to improve population health, elevate patient experience, and use resources more effectively. That includes expanding prevention and self-care, streamlining care coordination across long-term conditions, and addressing multi-morbidity with integrated, localised teams.

In this context, timely, patient-ready summaries aren’t a “nice to have”, they’re a key enabler of safer, more personalised care.

With a growing emphasis on shared records and transparent communication, the clinical narrative can no longer stop at the EHR. Patients need accessible, accurate summaries of what was said, what was decided, and what happens next, especially in settings where complex conditions or multiple specialists are involved. That’s why new tools like consult transcript summarisation are emerging as a foundation for scalable, joined-up care.

One tool stands out: the after-visit summary.

When written in plain, patient-friendly language, it can improve medication adherence and reduce avoidable readmissions, according to controlled studies published in 2024. Yet producing those summaries manually remains time-intensive. Clinicians must sift through dense transcripts, reconcile medication lists, and translate clinical jargon into accessible instructions—often hours after their last patient has left.

AI is closing the gap.

A 2024 HIMSS survey found that 86% of health-system leaders already deploy AI, with documentation support ranked among the top three use cases for reducing administrative burden. But generic speech-to-text isn’t enough. What clinicians really need is an agentic workflow that starts with raw conversation, captures the medical nuance, and ends with a patient-ready care plan—structured, accurate, and free from extra clicks.

That’s precisely the role Motics fills.

Its Scribe Agent captures real-time conversations, identifies key decisions, and generates parallel outputs: one version optimised for the EHR, another distilled for the patient. In doing so, it helps clinics meet national interoperability goals while delivering summaries that patients can actually act on.

From Transcript to Trusted Action Plan

Motics is an agentic AI platform for clinical operations that listens, summarises, and automates the next step, whether that is a care plan, a referral, or an email follow-up. Three synergistic agents power the workflow:

Scribe Agent – During the consult, Scribe Agent produces an accurate, speaker-separated transcript. Immediately after the visit it drafts both the SOAP note and a care-plan summary. In pilot clinics the review time per care plan fell to 45 minutes—down from roughly two hours. On a weekly basis, teams reclaimed more clinical hours, shrinking care-plan review time from 30 hours to 11 hours.

Phone Agent – Acting as a 24/7 virtual receptionist, Phone Agent answers calls in two seconds, resolving 80 % of bookings and routine queries without human hand-off.

Email Agent – For post-visit questions, Email Agent drafts context-aware responses that cut reply time by 83 % and return one administrative hour per user per day.

Across all agents, Motics users report a median 2.1 clinician hours saved every day within the first two months. The platform integrates natively with leading EHRs, delivering summaries directly to the patient portal or the NHS app, and encrypts all data at rest and in transit to meet both HIPAA and GDPR requirements.

By turning every consult transcript into a clear, shareable care-plan summary, Motics empowers clinicians, automates manual edits, and solves one of the most persistent causes of after-hours burnout.

Phone, Email, and Scribe Agents form a continuum that delivers both speed and reliability—attributes highlighted by NHS digital priorities and echoed in global AI adoption

How AI Turns Conversations into Clarity

Ready to reduce after-hours documentation and give patients summaries they actually understand?

Book a Demo, watch Motics’ Agents generate plain-language care plans from real consults—live, structured, and ready to share.

Published by the Motics Editorial Team