Less Paperwork, More Care: The Qwikify Approach 

Less Paperwork, More Care: The Qwikify Approach 

January 29th 2026

From care provider to tech innovator: the story behind Qwikify 

When Khaled Gamiet took over his family’s care home business in 2002, he didn’t expect it would eventually lead him back into technology. With a background in engineering and computer science, Khaled had spent years working for a Silicon Valley tech company before returning to care. But as he ran the service, he saw first-hand how much time staff were spending on paperwork. 

“Creating a new care plan could take six to eight hours. Even longer in some cases,” he remembers. “And then you had the problem of inconsistency. Daily notes might show a person needed more support, but the risk assessment and care plan still said otherwise.” 

That frustration became the seed for Qwikify, a digital care planning system Khaled originally built for his own nursing home and is now preparing to launch as a commercial product. 

A new approach to care planning 

The first wave of digital care planning systems were desktop-based, followed by cloud-based tools with mobile apps for daily notes and observations. Qwikify set out to solve a different problem: the long, complex process of creating and reviewing care plans. 

Instead of manually writing everything from scratch, staff using Qwikify select the care domains they want to cover, such as mobility or nutrition. The system then generates a dynamic questionnaire, pulling in relevant questions across domains. Once completed, Qwikify produces a structured draft care plan in minutes. 

“We call it agile care planning,” Khaled explains. “It gets you to a 90 percent finished care plan quickly. Staff can then personalise it, adapt it and update it as they learn more about the resident. Reviews are just as simple, update the questionnaire, regenerate the plan, and make tweaks as needed.” 

Saving time and improving consistency 

For Khaled’s team, the difference has been striking. “It used to take several hours to create an initial set of care plans. We can now do it in about twenty minutes,” he says. “It’s a huge time saver. But more importantly, it reduces inconsistencies. Updates to one care plan can be pulled through to other care plans, so everything matches.” 

The system also comes with an authoring tool, allowing providers to build their own smart care plan templates with conditional logic. This means organisations can embed best practice into every care plan, ensuring nothing important gets missed. 

Secure by design 

Cybersecurity was a top priority. “When we first built Qwikify as an internal tool, we locked it down so it could only be accessed on our own network,” Khaled explains. “When we moved towards a commercial product, we went through cyber essentials plus, regular penetration testing, and the NHS assured supplier security requirements.” 

Features such as multi-factor authentication, device restrictions and disaster recovery planning are now built into the platform. 

Lessons from the journey 

Nine years of development have taught Khaled some hard-won lessons. “The biggest surprise was cost. Software development is expensive. If you’re a smaller provider thinking about building your own system, I’d say only do it if there’s no off-the-shelf option that meets your needs. Otherwise, you risk spending more and ending up with less.” 

He also stresses the importance of team and focus. “If you’re looking to build something commercial, don’t try to do it all yourself. Find a technical co-founder or someone who can take the lead. And don’t fall into the trap of adding feature after feature before you launch. A Minimum Viable Product (MVP) that people can actually use is far more valuable.” 

The next step for Qwikify is to blend the best of logic-based care planning with the potential of generative AI. “Our tool already cuts time and ensures consistency.  It uses predefined rules and logic to create and update care plans, which is much more controllable and predictable than generative AI.  However, combining our technology with generative AI can achieve the best of both. We’re developing features that can scan daily notes and automatically update risk assessments, creating draft documents for staff to review. It’s about giving care teams more time to focus on people, not paperwork.” 

For Khaled, Qwikify has been a long journey, part care provider, part tech startup. “I didn’t set out to create a commercial product. I just wanted to solve a problem in our own home. But the more we’ve built and tested, the more we’ve seen how much it could help the wider sector. Now it feels like the right time to share it.” 

 

This case study is part of the Care Driven Innovation series which highlights the journeys of care providers turning frustration into tech-innovation. Whether they’ve created a digital solution for their own care environment or for the wider sector, we’re learning about digital solutions – for care providers,  from care providers. 

 

Photo by Getty Images for Unsplash

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