You can now update a patient's information directly from the patient demographics snapshot, without leaving your current workflow. Hover over the patient’s name and, in the top-right, click the More actions icon and select Update patient info. After you save your changes in the Update Patient window, they are immediately reflected in the demographics snapshot.

You can now view, manage, and create tasks directly from the new Tasks section in encounters, giving you visibility into related tasks without leaving the encounter.

To create a new task, click +Add Task or the quick task icon ⚡ in the section header. Any task you create from this section is immediately added to the encounter's task list.

When you record that a patient has No known drug allergies (NKDA), the CHR now displays who recorded it and when. The user who selected the checkbox and the date appear in the patient's Allergies section. The recorded date is also displayed next to the NKDA indicator or checkbox in the patient summary, the injection window, and the prescription window.

The activity log entry for No known drug allergies has also been updated to record the user action clearly. The activity log banner is now always visible at the top of the Allergies section, giving you quick access to the full history of changes.

When a patient has a preferred name entered in their demographics, it now appears on their prescriptions, including faxed and printed prescriptions.

When you select STAT - Now as the frequency for a medication, the End On date is now automatically set to the same date as the Start On date. This reflects the nature of a STAT medication and prevents the medication from appearing as an ongoing prescription when you do not enter an end date.

If you change the start date, the end date updates to match. You can still manually adjust the end date if needed.

The character limit for favourite medication display names has been increased from 25 to 100 characters. This applies when saving a medication as a favourite from a new prescription or medication entry, or from Settings > Prescription > My Favourite Medications, as well as when adding clinic-wide frequent medications (formulary).

📌Notes:

Agentic AI uses intelligent automation to observe your work, identify opportunities, and suggest helpful actions, reducing your documentation time while maintaining complete patient histories.

The new social history AI agent scans your encounter notes as you work and identifies relevant information. When you add information to the History section of an encounter in the CHR, the agent detects social determinants of health and other key details, then displays suggestion badges below the section.

You can review each suggestion and accept or dismiss it individually, or handle multiple suggestions at once. This ensures you maintain control over what enters the patient’s chart.

For more information, refer to Using the social history AI Agent.

When using encounter templates that include instant variables, the family history and social history agents no longer generate suggestions for variables you have not yet filled in. This means the agents focus only on the relevant clinical content you enter, resulting in more accurate and meaningful AI suggestions.

For clinics using the CHR AI-Powered Inbox, the CHR now automatically detects and corrects the orientation of document pages that arrive upside down or sideways. When you open a document processed by AI, rotated pages are displayed in the correct orientation, without any manual adjustment required.

This feature is enabled by default and can be configured in Settings > AI-Powered Features. Under Automatic rotation, you can set how sensitive AI is when detecting pages to rotate, allowing you to fine-tune the behaviour based on the types and quality of documents your clinic receives. You can also turn automatic rotation off entirely by clicking the toggle (refer to Configuring CHR AI-powered features settings).

📌Note: This improvement is part of a larger update to the AI service used in our AI-powered Inbox. This update also yields higher quality results and reduces the average token cost to process documents.

When you select a contact in the Recipient field before generating a referral letter using the CHR AI-powered writing tools, the CHR now uses that recipient's title, first and last name, occupation, and medical specialty to tailor the letter.

If the recipient has a known medical specialty, the letter is structured to address them by name and role, and the encounter summary focuses on the clinical details most relevant to their specialty. If no recipient is selected, the letter is written with a broad referral reason and includes all relevant clinical details from the encounter.

Additionally, referral letters now follow a consistent three-paragraph structure: an introduction naming the reason for referral and the recipient's specialty, a focused encounter summary, and a closing statement. This structure applies whether or not a recipient is selected.

📌 Note: New CHR versions are released on a regular bi-weekly schedule. However, there are times where a fix is released prior to the next scheduled release. These off-schedule release fixes are documented in the separate off-schedule release notes.

Be sure to also view the TELUS Health Connect release notes for related platform updates.