Personalised data: the game changer for resident-centered care

In the realm of long-term care, personalised data holds immense potential to revolutionise healthcare practices. By leveraging data intelligently, we can transition from reactive to proactive care, streamlining processes and enhancing residents’ quality of life. However, navigating the complexities of data-driven care requires not only technical expertise but also a cultural shift within organisations.

As we embrace this transformative journey, trust-building, ongoing education, and adherence to data protection regulations are paramount. Discover the possibilities of data-driven care with Ascom’s dedicated long-term care solutions.


Enhancing alarm systems with contextual intelligence

There’s much to be gained from a data-driven approach in the world of alarms. Although sensors have access to smart data, they do not take context into account. Care becomes efficient when we connect sensor data, such as smart mattresses, smart cameras, and motion detection to individual person. By leveraging smart algorithms, we can filter the data and present it in personalised user-friendly dashboards for care providers.


How does this facilitate greater efficiency?

By applying sensor technology in a nursing home, nightly rounds can be made more efficient. We interpret the data into a status and connect this status to a personal profile. In this way, we balance the risk and resident safety, enhancing the quality of life by reducing unnecessary disturbances and saving crucial time for caregivers.


Navigating the landscape of personalised data utilisation

There is no one-size-fits-all technology that can address every ‘personalised care’ situation. An open lifestyle monitoring system becomes essential to integrate different types of sensors. By simply importing data or status, one platform can provide a clear profile for each resident. Collecting more data that leads to insights of patterns, facilitating a shift from reactive care to possibilities for preventive care.


How can sensitive data be managed responsibly?

Responsible data management of sensitive information in healthcare requires a multi-faceted approach that ensures the protection, integrity, and ethical handling of such information. Compliance with data protection regulations is fundamental. This involves understanding the legal framework, identifying the patient or resident’s rights, and adhering to strict guidelines for data processing, storage, and sharing.

Therefore, personal data must be managed securely by applying rigorous technical safeguards and implementing strong cybersecurity measures to help prevent unauthorised data breaches. Considering all the ethical implications of data collection and processing, it is important that data is used only for its intended purpose and that it respects the rights and privacy of individuals.


What does this mean for an organisation’s culture?

The use of data requires effort and commitment from caregivers or major cultural shift, trusting the reliability of the generated data. Trust-building requires time, experience, and the right guidance and advice.


How do you guide the transition to data-driven care?

To make the transition to data-driven care successful, it is crucial that staff embrace data and technology. Educating them about the benefits of data and training them to read and apply it effectively is important. Conducting regular evaluations will foster growth, identify bottlenecks, and facilitate the implementation of necessary changes.


From alarms to monitoring

The potential of data-driven work is boundless. Intelligent monitoring acts as a vigilant eye, detecting and preventing critical emergencies before they happen while the lifestyle monitoring contributes to better health outcomes. This will support the creation of long-term care that is resilient, sustainable, and accessible to all.


If you are looking to implement data-driven care in your facility, check out Ascom’s dedicated
long-term care resources for suitable technology and solutions.

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