Understanding the value of an integrated tech ecosystem

[05:00 - 06:30]

The discussion emphasised the importance of integrating systems like workforce management, compliance tools, and data analytics to create a seamless operational ecosystem. Richard, Sona's VP of Product, highlighted that organisations should prioritise interoperability when selecting software to avoid fragmentation and data silos.

Rhian, Radar Healthcare's Chief Partnerships Officer, agreed that even though a unified solution is ideal, having systems that can easily share data is more critical:

"Being able to see workforce information against other quality information helps you look at future trends and understand what’s going on in a given area. It’s not just about tracking risks or incidents; it’s about having a strategic view that includes agency usage, skills mix, and overall workforce wellbeing."

Rhian then added that a fragmented tech environment, where teams juggle multiple logins and disjointed systems only adds friction to daily operations. Instead, organisations can focus on platforms designed for easy integration and communication between different software components.

Prioritising actionable insights over data quantity

[10:00 - 11:00]

Rhian highlighted the importance of collecting only the most pertinent data rather than gathering excessive amounts of information that becomes difficult to manage. The discussion centred around focusing on data that leads to actionable insights.

"Start with what it is you want to see and work back from that," Rhian advised.

The conversation underscored the importance of dashboards that drive clear actions, making it easier for managers and teams to prioritise tasks and improve care quality.

[13:15 - 13:45]

Richard went on to mention the need for data to be presented in a way that is intuitive and relevant, allowing managers and staff to make informed decisions quickly.

The discussion also highlighted the importance of aligning data collection with specific outcomes, such as improving resident safety, optimising staffing levels, or reducing agency costs.

Richard then added:

"It’s not just about displaying numbers or charts; it’s about driving clear actions. The focus should always be on: ‘What can I do with this data to improve care or make staff lives easier?’ If a dashboard doesn’t lead to an action, it’s just noise." 

Proactively addressing near misses to reduce incidents

[29:00 - 30:30]

Both speakers discussed the value of tracking near misses (incidents that almost happened but were avoided) as a proactive way to prevent future risks. Rhian pointed out that analysing these near misses provides crucial insights into systemic issues that could lead to larger problems if left unaddressed.

"It’s one of the most powerful things you can do to prevent incidents before they become real breaches," she said.

This is another case where integrating data from various systems allows for deeper analysis of root causes, whether related to staffing, training, or operational processes.

For a detailed perspective of the tech landscape, learn about the Social Care tech map here. 

Supporting continuity of service through real-time insights

[35:00 - 37:00]

Maintaining service continuity is key, especially when relying on temporary or agency staff. Richard discussed the importance of monitoring real-time data about staff composition and skill levels during shifts.

The conversation revealed that real-time alerts can help identify risks earlier which could compromise care quality.

"It's important not just to fill shifts but to ensure the right mix of skills is available," Richard mentioned.

By using tech to provide real-time visibility, organisations can react more quickly and maintain higher standards of care.

Richard then explains how systems like Sona can track agency usage and skills mix in real-time, providing alerts when risks arise. By leveraging these insights, care providers can make informed staffing decisions, adjust shift allocations, and deploy resources where they’re needed most.

Preparing for the future: AI, data ethics, and interoperability

While AI offers significant potential, Rhian cautioned against jumping ahead without first building solid data foundations. She noted that predictive analytics and AI can only be effective if organisations have consistent, high-quality data. The speakers stressed the importance of ensuring data security and compliance while integrating new technologies.

“We can’t dive into AI until we’re confident that our data is robust and ethically managed.”

A comment in the chat brought attention to the need for data protection and bias mitigation when implementing AI solutions. Richard noted that for AI to truly enhance care delivery, it must be built on solid data foundations, with systems that can seamlessly integrate and share information.

Get the definitive 2024 guide on how AI will impact Social Care here!

Fostering stakeholder collaboration for successful implementation

[43:00 - 45:00]

The final theme centred on the importance of collaboration between tech providers, organisations, and frontline staff. Richard and Rhian both emphasised that successful technology implementation requires input from all stakeholders, especially those who will use the tools daily.

“It’s the customers who drive innovation by sharing their real-world challenges,” Richard explained, adding that tech providers must be responsive and adaptable to the needs of the sector.

Rhian suggested creating forums where multiple stakeholders can present challenges and collectively brainstorm solutions.

"We need to have a shared approach where tech providers and customers work together to solve real-world issues," she noted.