Making sure you have accurate and high-quality data is vital in social care. Care teams rely on data to assess needs, track health trends, stay compliant with regulatory standards such as the Care Quality Commission (CQC) guidelines, and most importantly — deliver person-centred care.
Yet, despite its importance, many care providers struggle with inconsistent, incomplete, or inaccurate data. This can lead to delays in care, poor risk management, and missed opportunities for proactive interventions. With technology playing an increasingly significant role in social care, ensuring data quality is now more critical than ever.
Getting on top of your data now will mean that when you integrate systems (such as AI software, predictive analytics tools, or remote monitoring devices) to support your care delivery, your data will be ready to use seamlessly with these systems.
So, how can care providers improve the quality of their care data? Here are some essential steps to enhance data collection, refine processes, and ensure care teams can use data effectively to deliver better outcomes.
Implement a digital social care record (DSCR) system that:
Choosing an intuitive and easy-to-use system for data recording reduces both training costs and the risk of incomplete data.
By following these steps, you’re setting up your care organisation for success with integrating systems that support your team to deliver better care to the people in your support.