Enhancing Eldercare: Assessing Clinician's Perception of Linguistic Summaries in Health Monitoring Alert Systems

Area of Science:

• Gerontology
• Health Informatics
• Nursing Science

Background:

• Growing aging population necessitates effective in-place aging health monitoring.
• Assesses linguistic summary alerts versus standard data visualization alerts for clinicians.
• Focuses on improving eldercare efficiency and clinician decision-making.

Purpose of the Study:

• To evaluate the effectiveness of a linguistic summary alert system.
• To compare it with a standard health alert system in eldercare settings.
• To gauge clinician perceptions and system usability.

Main Methods:

• 110 older adults across seven facilities monitored for health alerts in 2019.
• Analyzed email alert interaction frequency and clinician perceptions.
• Clinician surveys conducted pre- and post-training on system use.

Main Results:

• Linguistic alerts significantly reduced data interface consultation (lower click-through rates).
• Clinicians preferred linguistic alerts for streamlined decision-making.
• Generalizability limited by survey interval and participant demographics.

Conclusions:

• Linguistic summary alerts improve nursing efficiency and reduce workload.
• System shows potential for preempting health declines in eldercare.
• Further research needed on health outcomes and technology acceptance.