Best Clinical AI Notes for Psychiatry: Automated Documentation with Tempus Notetaker

11/01/2025

What to know:

Tempus Notetaker for psychiatry automates patient notes with precision, saving you time. Reliably transcribes specialized psychiatric terminology and medications.
Notetaker ambiently records patient sessions to generate transcripts and clinical notes that can be seamlessly stored in patients’ electronic health records. It transcribes and processes the session in real-time, capturing key details with precision.
Tempus One summarizes patient history, treatment journey, and recent biomarker status, ensuring physicians are well-prepared for appointments. Tempus One can transcribe conversations, take intelligent notes, and highlight key information.
Tempus uses generative AI and LLM-powered tools to rapidly analyze large volumes of patient records and unstructured data. This human-in-the-loop framework ensures that even as we scale, our commitment to data quality and accuracy remains our central focus.

Tempus Notetaker for psychiatry automates patient notes with precision, saving you time.
Reliably transcribes specialized psychiatric terminology and medications.
Automatically generate notes tailored to intake and follow-up visits.
Refine documentation with intuitive Magic Edit commands, which updates notes based on your directions.
Notetaker’s use of psychiatric terminology and language was very key for me, as our language compared to other specialties such as endocrine or pulmonology is very different, but Notetaker translated accurately where there’s not much editing that needs to be done.

Notetaker, which is available in Tempus Hub, ambiently records patient sessions to generate transcripts and clinical notes that can be seamlessly stored in patients’ electronic health records.
Notetaker effortlessly transcribes and processes the session in real-time, capturing key details with precision, including specialized psychiatric terminology and medications.
Notetaker identifies and helps close care gaps with real-time pharmacogenomic insights for medications under consideration.
With adjustable settings tailored for telehealth, in-person sessions, and dictation, Notetaker adapts to various environments for adequate audio capture.

Tempus One summarizes patient history, treatment journey, and recent biomarker status, ensuring physicians are well-prepared for appointments.
Tempus One can transcribe conversations, take intelligent notes, and highlight key information, allowing physicians to focus on patient care.
Tempus One supports documentation tasks, treatment planning based on updated guidelines and research, prepares prior authorizations, and facilitates clinical trial matching.

Tempus uses generative AI and LLM-powered tools to rapidly analyze large volumes of patient records and unstructured data, enabling users to build precise patient cohorts with natural language and generate insights in seconds.
This agent can tap into unstructured data, such as progress notes, pathology reports, and imaging scans, which are important to understanding if a patient may be eligible for a trial.
This “human-in-the-loop” framework ensures that even as we scale, our commitment to data quality and accuracy remains our central focus.
Query patient data across the EHR using natural language, surfacing relevant information in seconds.
Automate pre-appointment preparation, with AI-generated patient summaries and treatment histories.
Receive real-time support during appointments, including intelligent note-taking and key information highlights.
Streamline post-appointment tasks, such as documentation, treatment planning, prior authorizations, and clinical trial matching.
Northwestern Medicine will be the first health system to integrate David, Tempus’ generative-AI clinical co-pilot, within its electronic health record platform for its clinical care team.

The administrative burden is one of the hardest parts of an oncologist’s day.
In this way, an AI tool integrated into the electronic health record can act as a safety net.
For the provider, it acts like a blind-spot detector in a car.
This “triple win” can be thought of as benefiting three Ps: the patient, the provider, and the pharma industry.
From a provider’s perspective, the ability to structure unstructured data is a fascinating and powerful feature.
So much critical information exists in clinical notes that is not captured in structured fields.