Digital Case Manager-A Data-Driven Tool to Support Family Caregivers with Initial Guidance

Area of Science:

• Gerontology and Healthcare Technology
• Artificial Intelligence in Health

Background:

• Societal demographic aging increases demand for skilled caregiving.
• Existing professional caregiver shortages are projected to worsen.
• Family caregivers face escalating care burdens and work-life balance challenges.

Purpose of the Study:

• To develop a digital tool assisting family caregivers.
• To mitigate the impact of caregiving responsibilities on personal and professional lives.
• To provide early-stage support for family caregivers.

Main Methods:

• Developed the Digital Case Manager, a tool employing machine learning algorithms.
• Utilized a questionnaire based on professional assessment instruments to generate data for the model.
• Implemented a proof-of-concept and conducted initial testing.

Main Results:

• The Digital Case Manager demonstrated promising initial results.
• The tool effectively learns relationships between care situations and subsequent steps.
• Initial tests indicate the tool is quick and easy to use for family caregivers.

Conclusions:

• The Digital Case Manager shows potential to ease family caregiver burden.
• The tool can help family caregivers maintain employment and personal ambitions.
• It offers a valuable solution for early-stage caregiving needs.