> For the complete documentation index, see [llms.txt](https://fieldworker.gitbook.io/fieldworker-docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://fieldworker.gitbook.io/fieldworker-docs/overview/what-we-think.md).

# What we think?

Our views on Caregiving and everything about and around it.

Our take on issues affecting the **caregiving** community is frequently published on our [Substack](https://fieldworker.substack.com/).

We published recent changes in technology, social settings, and regulations to predict how caregiving might be affected in 2026. 

> Caregiving—support provided to people who need assistance due to aging, disability, chronic illness, mental health conditions, or recovery from acute events—is a cornerstone of health and social systems. This paper summarizes the state of the art in caregiving practice and research, focusing on the shifting mix of informal (family/friend) and formal (paid) care, advances in care coordination and home-based services, the growing role of digital tools, and persistent challenges including workforce shortages, caregiver burden, inequities, and fragmented financing. We highlight emerging models that integrate medical and social care, measure outcomes that matter to care recipients and caregivers, and improve safety and dignity in the home and community.

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### Technology & Caregiving

Technology is already improving caregiving, but the current state is best described as **promising and uneven** rather than fully mature. The strongest evidence now is for AI and LLMs as support tools for caregiver training, care coordination, monitoring, and communication, while the main risks remain accuracy, privacy, and overreliance on AI.

AI is increasingly being used to personalize care plans, flag risks earlier, support remote monitoring, and reduce routine admin work for caregivers. In senior and home care, examples include predictive analytics, smart-home sensors, virtual assistants, and robotic companions that help with medication reminders, daily routines, and early warning signals. In practice, this can free caregivers to focus more on hands-on and emotional support rather than constant supervision.