Data and decision support

Data-driven decision support involves using collected data to inform and improve decision-making in healthcare. By analyzing information from various sensors and systems, care professionals can identify patterns and changes in a resident's behavior or condition, enabling more individualized and proactive care.

For example, Sensio Insight uses sensor data to provide care teams with valuable insights about residents in nursing homes. The solution visualizes hidden patterns and behavioral changes, enabling staff to more quickly adapt care to the individual resident's needs.

Implementing such data-driven decision support systems can help reduce the need for manual charting, increase the efficiency of services and give care professionals more time for direct resident care.

Data-driven decision support is crucial in the care sector to improve the quality of resident care and streamline work processes. Using solutions such as Sensio Insight, care teams can automatically collect and analyze sensor data, providing objective and precise registrations. This reduces the need for time-consuming manual mapping and frees up valuable time that can be spent directly on resident care.

Furthermore, data-driven decision support enables early identification of changes in resident behavior or condition. This makes it easier for care professionals to make their own assessments, take proactive measures and customize care plans.

Implementing such systems also leads to increased peace of mind for both residents and relatives, as decisions are based on reliable data rather than subjective assessments. Overall, data-driven decision support contributes to more efficient, individualized and high-quality care.

Data-driven decision support is valuable for multiple roles in a nursing home.

• Nurses: They can use data-driven insights to monitor residents' health status, identify changes in behavior or sleep patterns, and adjust care plans accordingly.

• Other care professionals: By having access to data about residents' daily activities and needs, care professionals can better plan and execute care tasks, as well as react quickly to any deviations.

• Physicians: Doctors can use data to evaluate the effectiveness of medical treatments, monitor residents' response to medication, and make informed decisions about care.

• Department managers: They can analyze aggregate data to assess the quality of care provided, identify areas for improvement, and optimize resource allocation within the department.

Implementing solutions like Sensio Insight enables these different roles to collaborate more effectively by sharing and interpreting data, leading to more coordinated and individualized care for residents.