AI in occupational therapy practices
Artificial intelligence (AI) is rapidly changing the healthcare landscape. From streamlining documentation to improving treatment planning, AI tools are beginning to support occupational therapists in delivering more efficient, data-driven, and personalized care.
Summary
- AI is helping occupational therapists reduce time spent on documentation, scheduling, and administrative tasks so they can focus more on patient care.
- AI tools can support occupational therapy assessments, treatment planning, and progress tracking by organizing and analyzing patient data more efficiently.
- While AI can improve efficiency and accuracy, occupational therapists must still rely on clinical judgment, ethical decision-making, and therapeutic relationships when providing care.
- AI-powered platforms like TheraPlatform integrate optional features such as AI-assisted documentation and secure communication to streamline workflows for OTs.
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While AI will never truly replace clinical reasoning, empathy, or therapeutic relationships that define occupational therapy, it can serve as a powerful tool that supports and enhances daily practice.
As technology continues to evolve, occupational therapists are exploring how AI can reduce administrative burdens, improve patient outcomes, and create more time for meaningful interaction.
“For occupational therapy (OT), the question is no longer if AI will touch our field, but how we can harness it responsibly to support client-centered care," OT Potential founder Sarah Lyon notes in a MedBridge article.
“For occupational therapy, which centers on enabling meaningful participation across contexts, this technological transformation presents critical challenges and opportunities," according to an article in the American Journal of Occupational Therapy.
Understanding both the opportunities and limitations of AI is key for therapy practitioners who want to stay informed and adaptable in a modern healthcare environment.
What is AI in occupational therapy?
AI in occupational therapy refers to computer systems or software that can perform tasks typically requiring human intelligence. These tasks may include analyzing data, recognizing patterns, generating text, making predictions, or assisting with decision-making.
AI in occupational therapy includes tools designed to support clinicians in areas such as:
- Documentation
- Clinical decision support
- Assessment and analysis
- Treatment recommendations
- Scheduling and workflow management
- Patient engagement and communication
AI systems often rely on machine learning, which allows software to learn from large amounts of data and improve performance over time.
In healthcare settings, this means that AI can identify patterns in patient outcomes, assist with clinical documentation, or help therapists organize information efficiently. AI doesn’t replace therapists, but functions as a supportive technology that enhances productivity and clinical efficacy.
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Applications of AI in occupational therapy
Artificial intelligence can support occupational therapists across many aspects of clinical practice, from administrative tasks to patient care. By improving efficiency and organizing large amounts of information, AI tools can help therapists streamline workflows and support more personalized, data-informed interventions.
Documentation: One of the most significant applications of AI in occupational therapy practices is clinical documentation. Documentation is essential for compliance, communication, and reimbursement, but is also one of the most time-consuming aspects of practice.
AI-powered documentation tools can assist therapists by:
- Generating SOAP notes
- Creating evaluation summaries
- Suggesting clinical language
- Organizing patient information
- Transcribing voice-to-text sessions
- Reducing repetitive typing
“Artificial intelligence-based tools may help reduce documentation burdens for therapists by generating high-quality, empathetic notes. However, human-authored documentation remains more consistent across evaluators," says an article from Digit Health.
For example, therapists may input key treatment details, and AI software can generate structured draft notes based on the information provided.
This can significantly reduce time spent on paperwork while helping clinicians maintain consistency and accuracy. In busy outpatient clinics, schools, or telehealth settings, reducing documentation time allows therapists to focus on more direct patient care and less on administrative tasks.
Assessments: AI has growing potential in occupational therapy assessments. Certain AI tools can analyze patient performance data, identify movement patterns, or help therapists track changes over time.
Examples may include:
- Motion tracking during motor tasks
- Cognitive assessment support
- Data analysis for functional performance
- Digital outcomes measure interpretation
- Pattern recognition in rehabilitation progress
“Data from wearable devices, sensors, and AI algorithms can provide valuable insights about a client’s physiological, behavioural, and environmental health," according to an article published in the Canadian Association of Occupational Therapy.
This data could be used by OTs for assessment and monitoring purposes. AI systems can then organize and interpret this data to support clinical decision-making.
Therapists will still interpret findings using professional judgment, but AI may also help identify trends that are difficult to detect manually.
“In occupational therapy, emerging clinical decision support helps surface possibilities for evidence-based and expert-recommended assessments, goals, interventions, and patient education," Lyon goes on to say.
Treatment planning: AI can also support individualized treatment planning by analyzing patient information and suggesting evidence-informed interventions
AI systems may:
- Recommend treatment activities based on diagnoses and goals
- Suggest adaptive equipment options
- Identify intervention progressions
- Organize home exercise programs
- Track patient adherence and outcomes
In pediatric occupational therapy, AI platforms may help therapists identify sensory regulation strategies or fine motor activities tailored to developmental needs.
In adult rehabilitation, AI tools may assist with task grading, cognitive rehabilitation planning, or home modification recommendations. These systems can help therapists access information quickly, improve organizing, and streamline care planning while still relying on the therapist's expertise and clinical reasoning.
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Benefits of AI in occupational therapy practices
Time savings: One of the most immediate benefits of AI is improved efficiency. Occupational therapists often balance large caseloads, extensive documentation requirements, scheduling responsibilities, and communication with caregivers or interdisciplinary teams.
AI teams can reduce time spent on repetitive administrative tasks, including:
- Writing daily notes
- Formatting reports
- Managing schedules
- Organizing treatment plans
- Tracking patient progress
This time saving may help reduce clinician burnout and allow therapists to dedicate more energy to patient-centered care.
In telehealth and private practice settings, efficiency tools can also improve workflow management and overall productivity.
Improved accuracy: AI systems can also improve consistency and accuracy in documentation and data analysis. Automated systems may reduce spelling errors, improve note structure, and help therapists maintain compliance with required documentation standards.
Additionally, AI tools that analyze patient data may help therapists:
- Monitor progress more objectively
- Detect patterns in functional performance
- Track outcomes over time
- Identify areas needing intervention adjustments
When combined with clinical expertise, these tools may support more informed and evidence-based clinical decision-making. Therapists must always review AI-generated information carefully to ensure accuracy and appropriateness for each client.
Real-world examples of AI in occupational therapy practices
AI is already being integrated into many healthcare platforms and rehabilitation technologies.
Examples include:
- Speech-to-text documentation software for faster note writing
- Telehealth platforms with automated scheduling and reminders
- Motion capture systems used in neurological rehabilitation
- Cognitive training apps with adaptive difficulty levels
- Wearable sensors that monitor movement and activity
- AI-powered clinical documentation
Risks and ethical considerations of AI in occupational therapy practices
While AI offers many benefits in occupational therapy practice, there are also ethical and professional considerations therapists should keep in mind.
- Privacy and confidentiality: AI platforms often collect and store information, making data security essential. Therapists must ensure platforms comply with HIPAA and other healthcare privacy regulations.
- Accuracy and bias: AI systems are only as accurate as the data they are trained on. Incomplete or biased information may lead to inaccurate recommendations or unequal care outcomes.
- Clinical judgment: AI should never replace professional reasoning. Occupational therapists must review and interpret all AI-generated suggestions before applying them to patient care.
- Overreliance on technology: Occupational therapy is built on human connection, therapeutic relationships, and individualized treatment. Excessive dependence on automation may reduce opportunities for observation, creativity, and patient interaction.
- Ethical decision-making: Therapists remain fully responsible for treatment decisions, documentation, and patient outcomes, even when AI tools are used as a part of the clinical process.
How TheraPlatform integrates AI tools
Theraplatform integrates AI-supported tools to help occupational therapists improve efficiency and streamline clinical workflows.
Features include:
- AI-assisted documentation
- Telehealth integration
- Scheduling and calendar management
- Electronic medical records
- Secure communication tools
These features help reduce administrative workload, improve organization, and allow therapists to spend more time focusing on patient care.
How EHRs can help with documentation
Modern EHR/practice management platforms (such as TheraPlatform) assist greatly with documentation by providing HIPAA‑compliant, integrated systems for note entry, storage, scheduling, and billing.
They allow therapists to:
- Use and customize templates (e.g., SOAP, DAP, and others) or build their own to streamline note writing and ensure consistency.
- Link notes to treatment plans, goals, and session history so client progress is easily tracked over time.
- Utilize e-fax and secure document sharing via client portal to safely exchange information with clients or other providers while maintaining confidentiality.
- Leverage dictation and telehealth transcription, which can automatically convert sessions into therapy or assessment notes, saving time and reducing manual entry.
- Take advantage of AI features that streamline documentation by automatically populating intake form data into assessment templates and generating complete therapy and assessment notes from the information you provide, all with a single click.
Watch this video to learn how to save time on therapy notes
Meanwhile, AI‑assisted note tools are emerging which can further help clinicians by:
- Automatically transcribing session audio (if permitted) and highlighting key moments (e.g. emotional shifts, major themes).
- Suggesting draft notes or filling in objective or assessment sections based on observed data, freeing up clinicians’ time.
- Supporting consistency and reducing missing components in notes, which helps from both clinical, legal, and insurance perspectives.
Together, structured SOAP‑type notes, good EHR platforms, and smart AI tools support better therapeutic outcomes, more efficient workflows, and stronger accountability.
Streamline your practice with One EHR
- Scheduling
- Flexible notes
- Template library
- Billing & payments
- Insurance claims
- Client portal
- Telehealth
- E-fax
Resources
TheraPlatform is an all-in-one EHR, practice management, and teletherapy software with AI-powered notes built for therapists to help them save time on admin tasks. It offers a 30-day risk-free trial with no credit card required and supports mental and behavioral health, SLPs, OTs, and PTs in group and solo practices.
More resources
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- The Ultimate Insurance Billing Guide for Therapists
- The Ultimate Guide to Starting a Private Therapy Practice
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- Free mini video lessons to enhance your private practice
- 9 Admin tasks to automate in your private practice
References
- Amanda Colleen Jozkowski; Artificial Intelligence and Occupational Therapy: From Emerging Occupation to Educational, Practice, and Policy Imperative. Am J Occup Ther, November/December 2025, Vol. 79(6), 7906347100. doi: https://doi.org/10.5014/ajot.2025.051283
- Canadian Association of Occupational Therapists. Occupational therapy, artificial intelligence, and technology [Briefing paper]. https://caot.ca/document/8063/OT%20&%20AI_Final%20Copy_EN.pdf
- Lee S-A, Park J-H. Artificial intelligence in occupational therapy documentation: Chatbot vs. Occupational Therapists. DIGITAL HEALTH. 2025;11. doi: 10.1177/20552076251386657
- Lyon, S. (2025, October 14). AI in OT: How to bridge promise and practice. Artificial Intelligence in Occupational Therapy: Bridging Promise and Practice. https://www.medbridge.com/blog/artificial-intelligence-in-occupational-therapy
FAQs about Ai in occupational therapy practices
How can AI help occupational therapists?
AI can assist with documentation, scheduling, assessments, treatment planning, progress tracking, and workflow organization to improve efficiency and reduce administrative burden.
Can AI replace occupational therapists?
No. AI is designed to support therapists, not replace them. Clinical reasoning, empathy, ethical decision-making, and therapeutic relationships still require human expertise.
What are the risks of using AI in occupational therapy?
Potential risks include privacy concerns, inaccurate or biased recommendations, overreliance on technology, and reduced human interaction if AI is not used responsibly.

