Safe and Responsible AI Use in Long-Term Care: What Every Home Needs to Know
An article to increase awareness and compliance on safe use of Artificial Intelligence among healthcare staff members in this age of pocket AI.
FLTCA 2021ONTARIO LONG-TERM CARE HOMECOMPLIANCESAFE AI
Joulen
6/28/20264 min read
Artificial intelligence tools like ChatGPT, Microsoft Copilot, and Claude are rapidly entering healthcare workplaces — often through the back door. A 2025 survey by the American Health Care Association found that while only 18% of long-term care facilities have formal AI policies, over 40% of staff report using AI tools for work-related tasks (AHCA/NCAL, 2026). In Ontario's 650+ long-term care homes, where regulatory scrutiny under the Fixing Long-Term Care Act (FLTCA, 2021) has never been higher, this gap between usage and governance is a compliance risk waiting to happen.
The opportunity is real. AI can draft shift summaries, simplify policy documents, generate family communication templates, and help administrators prepare for inspections. These are low-risk, high-value use cases that save hours of administrative burden — hours that can be redirected to resident care.
The risk is equally real. When a nurse pastes a resident's care plan into a free version of ChatGPT to "rephrase it," that personal health information leaves the circle of care and lands on servers outside Canada. Under Ontario's Personal Health Information Protection Act (PHIPA, 2004), health information custodians are accountable for safeguards at every stage — procurement, implementation, and use (Information and Privacy Commissioner of Ontario, 2025). A single unthinking copy-paste could constitute a privacy breach.
Generic AI tools present four categories of risk every LTC home should address:
Privacy and PHIPA Compliance. The free versions of ChatGPT, Copilot, and Claude are not HIPAA- or PHIPA-compliant — user data may be used to train underlying models (HIPAA Vault, 2025). Enterprise versions can be configured with Business Associate Agreements, but even then, PHIPA requires a privacy impact assessment before any AI tool processes personal health information (IPC Ontario, 2024). The practical rule: no resident names, room numbers, diagnoses, or care details should ever enter a public AI tool.
Accuracy and Hallucination. Generative AI tools produce confident-sounding output that may be factually wrong. In healthcare contexts, Mennella et al. (2024) warn that AI decision-support tools "have often been deployed without adequate regulatory approvals, raising serious ethical and legal concerns" (p. 3). For LTC — where clinical decisions affect vulnerable residents — AI output must always be treated as a draft requiring human review, never as a final work product.
Bias and Equity. AI systems trained on general internet data may produce outputs that reflect societal biases related to age, disability, race, or gender. In LTC settings serving diverse resident populations, unchecked AI-generated content could inadvertently introduce discriminatory language into care documentation or family communications.
Security and Data Residency. Most consumer AI tools process data on servers in the United States. For Ontario LTC homes, this raises questions about data sovereignty and whether resident information is adequately protected under Canadian law.
Five Practical Safeguards Every LTC Home Should Implement
1. Establish a clear policy. Before restricting or permitting AI use, define what is acceptable. A simple policy might state: "Staff may use AI tools for non-clinical administrative tasks only. No personal health information may be entered into any AI tool not approved by the Director of Care." The IPC Ontario (2025) recommends that every health information custodian establish an AI governance framework with clear policies, practices, and human oversight mechanisms.
2. Use enterprise-grade tools only. If your home is ready to adopt AI for operational use, invest in enterprise versions — Microsoft Copilot with data protection, OpenAI for Healthcare, or Anthropic's Claude for Healthcare — all of which offer HIPAA-compliant configurations with contractual data protections (HealthTech Magazine, 2026). These are fundamentally different products from the free versions your staff may already be using.
3. Train staff, don't just restrict. Banning AI outright is unrealistic. Instead, provide training on what constitutes personal health information, how to recognize it, and which tasks are safe for AI assistance. The IPC Ontario (2025) guidance specifically recommends AI literacy training as a foundational safeguard for health sector organizations.
4. Implement the "No PHI" rule. The simplest and most effective safeguard: personal health information never goes into a public AI tool. If a task requires resident-specific information, it requires an approved, secure tool — or a human.
5. Review every output. AI is a drafting assistant, not an authority. Every AI-generated document — whether a family letter, a policy summary, or an inspection preparation note — must be reviewed by a qualified human before use. As Mennella et al. (2024) note, AI in healthcare should operate at Level 1 autonomy: it suggests, humans decide.
The Bottom Line
AI will not bypass long-term care — it is already inside your home, on staff phones and laptops. The question is not whether to use it, but whether you are governing it. Homes that implement thoughtful policies now will gain efficiency without risking compliance. Homes that ignore it until an inspector asks about it will be playing catch-up — and in Ontario's current regulatory environment, that is a dangerous place to be.
References
AHCA/NCAL. (2026, February 23). Adopting AI RFI (RIN 0955-AA13): Comments of the American Health Care Association and National Center for Assisted Living. https://www.ahcancal.org/
HealthTech Magazine. (2026, March). HIPAA-compliant AI: How OpenAI, HealthBench & Claude stack up. https://healthtechmagazine.net/
HIPAA Vault. (2025). HIPAA compliant AI chatbots: Are they possible? https://www.hipaavault.com/
Information and Privacy Commissioner of Ontario. (2024). Artificial intelligence in health care: Guidance for health information custodians. https://www.ipc.on.ca/
Information and Privacy Commissioner of Ontario. (2025, September 12). Artificial intelligence: Privacy considerations for the mental health sector [Presentation]. https://www.ipc.on.ca/
Mennella, C., Maniscalco, U., De Pietro, G., & Esposito, M. (2024). Ethical and regulatory challenges of AI technologies in healthcare: A narrative review. Heliyon, 10(4), e26297. https://doi.org/10.1016/j.heliyon.2024.e26297
Personal Health Information Protection Act, S.O. 2004, c. 3, Sched. A.