LeadForensics
TM3 and Heidi AI: Innovation in MSK clinical notes

TM3 and Heidi AI: Innovation in MSK clinical notes

At TM3, we provide powerful tools to help you run your MSK practice more efficiently while delivering exceptional patient care. A key focus is reducing your administrative workload. Creating detailed and accurate clinical records is essential for physiotherapists, osteopaths, and chiropractors, but it is also incredibly time-consuming.

That's why we are thrilled to announce an exciting new integration launching soon. We are partnering with Heidi AI, the UK's leading AI medical scribe, to bring AI-assisted note-taking directly into the TM3 platform. This powerful integration is designed to transform how you document patient encounters, giving you back valuable time to focus on what matters most: your patients.

What is Heidi AI and how will it work with TM3?

Heidi is an advanced ambient AI scribe that automates clinical documentation. By listening to your patient consultations, it transcribes the conversation and transforms it into structured, accurate clinical notes in seconds. This process eliminates the need for manual typing during or after appointments, allowing you to be fully present with your patients.

Our new integration embeds Heidi’s technology directly within TM3’s secure clinical records system. With a single click, you can activate Heidi at the start of a consultation. As you talk with your patient, the AI works silently in the background. Once the appointment is finished, a complete, first-draft set of notes is ready for your review and approval, right where you need it in TM3.

This seamless integration will make your note-taking faster, easier, and more accurate, all within the familiar TM3 environment.

Reclaim your time and enhance patient care

The administrative load on MSK practitioners is heavier than ever. Studies show that clinicians can spend hours each day on documentation, leading to potential burnout and less time for direct patient interaction. Our integration with Heidi AI is built to solve this problem, delivering tangible benefits for MSK practices of all sizes.

Whether you are a solo physiotherapist or run a multi-disciplinary clinic, this tool will help you:

  • Save hours every week: Drastically cut down the time spent on writing and finalising notes. Heidi turns natural conversation into structured records, meaning your documentation is almost complete by the time your patient leaves the room.
  • Improve note accuracy and consistency: The AI captures every salient detail from the consultation, ensuring your records are comprehensive and precise. You can use customisable templates to maintain a consistent format across your entire practice, improving quality and supporting compliance.
  • Focus entirely on your patients: With note-taking automated, you can restore eye contact and give patients your undivided attention. This strengthens the practitioner-patient relationship and leads to a higher standard of care.

Versatility for every MSK practice

TM3 is designed to be a flexible solution for a wide range of MSK disciplines, and our Heidi AI integration is no different. We understand that the documentation needs of a chiropractor vary from those of a physiotherapist or an osteopath.

Our new AI integration is built to adapt to the operational realities of different MSK specialities. It supports workflows for:

  • Physiotherapy: Effortlessly capture detailed notes on patient assessments, movement analysis, rehabilitation exercises, and treatment progress.
  • Osteopathy: Document structural assessments, treatment techniques, and patient responses with precision while maintaining full engagement.
  • Chiropractic: Streamline the recording of spinal adjustments, examination findings, and ongoing care plans securely and efficiently.
  • Sports therapy & rehabilitation: Record injury details, treatment parameters, and return-to-play protocols in a fraction of the time.

You can build templates that ensure your notes meet the specific requirements of your field, ensuring consistency and quality across your practice.

Security and Compliance You Can Trust

We know that patient confidentiality is your highest priority. Handling sensitive medical records demands uncompromising security, which is why we have built TM3 on a foundation of trust and compliance. Our integration with Heidi AI adheres to the same stringent standards.

Your data is protected by:

  • ISO 27001 certification: As an ISO 27001 certified company, we adhere to the highest international standards for information security management.
  • GDPR compliance: We operate with a "data protection by design" approach, ensuring all patient information is handled in line with UK and EU regulations. All data is securely hosted in UK data centres.
  • Robust safeguards: The AI operates within your existing governance rules. Features like granular, role-based permissions and full audit trails mean you maintain complete control over who sees what, with an immutable record of every action.

You can work with confidence, knowing that your patient data and your practice’s reputation are protected.

Embracing the future of MSK Ttechnology

This integration with Heidi AI marks a significant milestone in our commitment to innovation. We believe that artificial intelligence holds immense potential to support MSK practitioners, streamline practice management, and ultimately improve patient outcomes.

By automating routine administrative tasks, we can empower clinicians to work at the top of their game, focusing on diagnosis, treatment, and hands-on care. This partnership is just the beginning of our journey into leveraging AI to build a smarter, more efficient, and more human-centric healthcare platform for the MSK community.

We are incredibly excited to bring this game-changing technology to our clients. Get ready to say goodbye to administrative overload and hello to a new era of clinical efficiency.

The TM3 and Heidi AI integration will be available to all TM3 users very soon. To learn more and prepare for the launch, contact our team today.