Senior care and assisted living have a clear, humane case for AI: catching falls and risks earlier, easing staff load, and improving residents’ safety — balanced against a strong duty to protect residents’ privacy and dignity. Here’s how to adopt it right, and how dgm implements it. (dgm implements osFoundry, a separate company’s platform — we are not osFoundry.)

What AI actually does for senior care

The honest framing: AI improves resident safety and eases staff workload — most notably through fall detection and risk prediction — while documentation and admin automation give caregivers time back. The benefit is real; the responsibility is to deliver it without surveilling residents intrusively.

High-value use cases

  • Fall detection and fall-risk prediction — flagging falls (including “silent” ones) and residents at risk.
  • Privacy-preserving ambient monitoring — wandering/bed-exit detection and wellness-trend monitoring using anonymized, on-device methods.
  • Documentation — drafting care documentation for staff review.
  • Scheduling and admin — easing the operational load.

The compliance and privacy reality

Two considerations shape senior-care AI:

  • HIPAA is facility-dependent. Skilled nursing facilities and providers that conduct electronic standard transactions are covered entities; some assisted-living operators that don’t may fall under state long-term-care and privacy laws instead. Confirm your status, and use a BAA whenever an AI vendor touches PHI.
  • Resident privacy is paramount. Continuous monitoring raises real privacy and consent concerns. The responsible path uses privacy-preserving designs — anonymized silhouettes, on-device processing rather than streaming raw video, and clear consent — to get the safety benefit while respecting dignity and rights.

dgm builds these privacy controls into the implementation.

How to start

Start with fall detection (for safety impact) or documentation (for staff time), using privacy-preserving designs and confirming your HIPAA status. Prove the safety and time benefits, then expand. dgm’s assessment finds the right starting point.

How dgm helps

dgm implements osFoundry and other AI for US senior care and assisted living operators — with privacy-preserving monitoring, appropriate data controls, and training included. Pricing is fixed and public: a $399 assessment and $3,999/month implementation, with no per-seat fees. If you’d rather explore the platform first, go straight to osFoundry; if you want senior-care AI done right and respectfully, that’s where dgm comes in.