{"id":746,"date":"2025-06-20T17:06:00","date_gmt":"2025-06-20T15:06:00","guid":{"rendered":"https:\/\/uc-lab.in.htwg-konstanz.de\/?page_id=746"},"modified":"2026-02-02T11:31:42","modified_gmt":"2026-02-02T09:31:42","slug":"carevolutionai","status":"publish","type":"page","link":"https:\/\/uc-lab.in.htwg-konstanz.de\/?page_id=746","title":{"rendered":"CareVolutionAI"},"content":{"rendered":"\n

CareVolutionAI<\/span> is a cross-border innovation project in the Alpenrhein\u2013Bodensee\u2013Hochrhein (ABH-Region<\/span>) area that aims to relieve overstretched care teams and improve residents\u2019 safety, freedom, and quality of life through privacy-preserving, AI-based room sensing in long-term care facilities and clinics. The central idea is simple but powerful: one 3D sensor per room<\/span> continuously detects relevant events and long-term behavioral patterns directly in the room, enabling actionable alerts and trend insights\u2014without relying on wearable devices or continuous manual rounds.<\/p>\n\n\n\n


The challenge the project addresses<\/strong><\/h3>\n\n\n\n

Across the ABH region, care organizations face a converging set of pressures: severe staff shortages, the need for frequent safety checks, high shares of non-patient-facing administrative work, and significant psychological strain on professionals\u2014while avoidable adverse events (e.g., falls, pressure ulcers, delirium-related incidents) drive escalating costs. CareVolutionAI responds to this situation by shifting routine monitoring and documentation-heavy \u201ccontrol work\u201d toward an automated, clinically meaningful digital assistance layer\u2014so professionals can focus more time on direct care and human interaction.<\/p>\n\n\n\n


What CareVolutionAI builds and why it is different<\/strong><\/h3>\n\n\n\n

At the technical core is an established smart-room sensing platform where fall detection and fall prevention<\/strong> are already proven in practice, reducing implementation risk. The project extends this baseline with new AI modules tailored to real care workflows and clinical needs, including:<\/p>\n\n\n\n

    \n
  • Pressure ulcer (decubitus) prevention<\/strong>, derived from long-term in-bed mobility patterns<\/li>\n\n\n\n
  • Cognitive disturbances and dementia-related behaviors<\/strong>, inferred from unusual room behavior patterns<\/li>\n\n\n\n
  • Delirium indicators<\/strong>, including motor restlessness and atypical nighttime activity<\/li>\n\n\n\n
  • Sleep-related complaints<\/strong>, enabling early recognition of changes relevant for care planning<\/li>\n<\/ul>\n\n\n\n
      \n
    • <\/li>\n<\/ul>\n\n\n\n

      A key differentiator is the project\u2019s multi-level aggregation concept<\/strong>: insights are not only produced for individual rooms and residents, but are also aggregated (anonymized) to ward, facility, and ultimately regional and country levels<\/strong>, allowing care providers and decision-makers to identify trends, benchmark practices, and support evidence-based resource planning across borders. This \u201cfrom room to region\u201d approach is explicitly designed as a pioneering step for the ABH region.<\/p>\n\n\n\n

      The “CareVolutionAI” project is funded by the Interreg Alpenrhein-Bodensee-Hochrhein program (www.interreg.org) with no. ABH036. <\/p>\n\n\n\n

      \"\"<\/figure>\n","protected":false},"excerpt":{"rendered":"

      CareVolutionAI is a cross-border innovation project in the Alpenrhein\u2013Bodensee\u2013Hochrhein (ABH-Region) area that aims to relieve overstretched care teams and improve residents\u2019 safety, freedom, and quality of life through privacy-preserving, AI-based room sensing in long-term care facilities and clinics. The central idea is simple but powerful: one 3D sensor per room continuously detects relevant events and long-term behavioral patterns […]<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":742,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"categories":[46],"class_list":["post-746","page","type-page","status-publish","hentry","category-project"],"_links":{"self":[{"href":"https:\/\/uc-lab.in.htwg-konstanz.de\/index.php?rest_route=\/wp\/v2\/pages\/746","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/uc-lab.in.htwg-konstanz.de\/index.php?rest_route=\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/uc-lab.in.htwg-konstanz.de\/index.php?rest_route=\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/uc-lab.in.htwg-konstanz.de\/index.php?rest_route=\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/uc-lab.in.htwg-konstanz.de\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=746"}],"version-history":[{"count":9,"href":"https:\/\/uc-lab.in.htwg-konstanz.de\/index.php?rest_route=\/wp\/v2\/pages\/746\/revisions"}],"predecessor-version":[{"id":890,"href":"https:\/\/uc-lab.in.htwg-konstanz.de\/index.php?rest_route=\/wp\/v2\/pages\/746\/revisions\/890"}],"up":[{"embeddable":true,"href":"https:\/\/uc-lab.in.htwg-konstanz.de\/index.php?rest_route=\/wp\/v2\/pages\/742"}],"wp:attachment":[{"href":"https:\/\/uc-lab.in.htwg-konstanz.de\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=746"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/uc-lab.in.htwg-konstanz.de\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=746"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}