When the body says no, but the mind says yes
Björn Evers was diagnosed with MS at 35. After 5,000+ home-care visits he founded Caire — care first, AI as enabler.
The latest articles about AI, digitalization, and future trends in the home care industry.

Why Caire was founded — seen from inside home care.
Björn Evers was diagnosed with MS at 35. After 5,000+ home-care visits he founded Caire — care first, AI as enabler.
Overviews of how AI changes planning, digitalization, and the future of home care.
What does AI scheduling mean in home care? A practical guide to inputs, human review, measurement, and rollout.
How AI revolutionizes scheduling in home care and what it means for future care organizations.
A deep dive into the technological and organizational trends that will shape home care in the coming years.
Algorithms, VRPTW, and practical models for less travel and better routes.
Practical ways to reduce travel time in home care through geographic planning, the right measures, continuity, and route follow-up.
How modern route optimization balances travel time, continuity, skills, time windows, and human review in one connected schedule.
How Caire uses VRPTW algorithms and home-care-specific constraints to compare visit coverage and travel-time trade-offs in optimization runs.
How mathematical optimization makes trade-offs between travel time, continuity, and clear scheduling measurable for each run.
Practical decisions about staffing, Carefox workflows, and unassigned visits.
A practical model for staff planning in home care: capacity, demand, skills, shifts, and follow-up.
How home-care organizations can complement Carefox with AI support for schedules, routes, continuity, and reviewable proposals.
How to analyze unassigned home-care visits and distinguish capacity gaps from constraints, time windows, and poor inputs.
How continuity, efficiency, and care time can improve without losing care quality.
Care time and travel time are governed by the same planning variables. Three levers to lower travel time and raise care time at once, without overloading staff.
Evidensbaserad modell för att nå ~80% brukartid och stärka personalkontinuitet samtidigt – med fyra konkreta steg, KPI-definitioner och räkneexempel.
Forskningsartikel om AI-optimering av hemtjänst. Resultat från svensk pilotstudie visar att 4–7 unika vårdgivare per klient och 74% effektivitet är möjligt.
Better planning is not a choice between lower travel time and better continuity. The right model makes both goals visible, configurable, and operationally realistic.
How hard and soft constraints become practical controls in home-care scheduling.
How to balance hard and soft constraints in home care scheduling. Caire's three-layer model, the KISS principle, and strategies that handle 85% of all conditions with time windows alone.