b'TECH TALKplaces and has not been properlyprocurement criteria, and vendorworkflows can harness AIs potential maintained or vetted. agreements from day one. By doingwhile building clinician confidence.so, organizations not only mitigate Some of the biggest challengesrisk but also foster a culture ofBy approaching adoption with are data quality and fragmentation,responsibility that builds trust withresponsibility and clear governance, says Feldman. Many long-termresidents, staff and regulators alike. leaders can unlock efficiencies, care homes operate across multiplesupport value-based care, and create systems that dont always connect,AI is advancing rapidly in healthbetter outcomes for both providers which creates gaps. care, and successful implementationand residents, says Feldman.LTCTdepends on trust, strategic planning, As AI is only as good as the dataand governance. Organizations thatMatthew Bradford is a freelance it has and is trained on, ensuringprioritize transparency, structuredwriter with Long Term Care Today. a complete, structured anddata, and alignment with clinical connected dataset is key. Feldman adds: Long-term care homes also face resource limitations and the need to build trust with staff, makingCreating Greatit important to have governance, training and transparent processesin place to ensure safe andPlaces for Living!responsible adoption.Ultimately, Responsible AI must be built on data integrity and human-centred design.Responsible AI is a journey Adopting Responsible AI in long-term care is not a one-time initiative. It is a process that expands and evolves alongside providers and their care recipients. The most successful organizations begin by identifying targeted use cases that ease administrative burdens and improve care efficiency. The goal is never to replace staff, says Feldman, but to empower them with actionable insights that reduce unnecessary work and allow more time with residents.From there, organizations should launch pilot programs that are closely monitored and refined based on performance and feedback. Embedding the people and processes to monitor these pilot programs ensures issues are identified quickly, and lessons learned can be applied beforeCongratulations to peopleCare on broader deployment. the grand opening of the Tavistock Finally, embedding the five pillarsLong-Term Care Home!of Responsible AI into all stages of adoption is essential. This means ensuring Accountability, Fairness, Transparency, Privacy and Security, and Human Oversight aresrmarchitects.ca|519.885.5600reflected in governance policies, www.oltca.com LONG TERM CARE TODAY 15'