One Year of Pal-PCS: Turning Clinical Insight into Predictive Care
Pal
Amsterdam & London, 11 November 2025 – A year ago, Amie Technologies and Blüm Health set out to build something bold: a predictive care solution that helps clinicians spot serious complications at home before they escalate.
With the backing of the Eurostars programme and support of our partner Blüm Health, the Pal-PCS project has spent the past year translating deep clinical insight into structured, explainable AI, and reshaping how health changes are recognised in serious illness.
Translating clinical knowledge into predictive care
Over the past twelve months, the team has completed extensive clinical research with palliative and oncology specialists to map out how common complications present and evolve, not just in clinical guidelines, but in people’s homes. With little precedent for structured, real-world data in this setting, the team has created a knowledge base from the ground up: one that captures how symptoms, history, medications, and risk factors intersect in serious illness.
“Much of what matters in home-based care isn’t well documented in existing datasets,” says Azi Doost, Pal’s co-founder and the product lead for Pal-PCS. “We’re building a foundation that reflects what clinicians really see, not just what makes it into the record.”
That includes the day-to-day insights of homecare nurses, who are often the first to spot subtle signs that something is changing. The way patients describe symptoms, how families explain what feels different, and the language they use to express concern, all of that carries clinical meaning. “We’re learning from how complications really begin, not just when they’re formally diagnosed, but when someone first says, ‘Something’s not quite right,’” Azi adds.
This knowledge now powers the first clinical logic models in Pal-PCS: models designed to learn from patient-reported data while staying explainable and clinically grounded. The system is designed to evolve with input from real-world cases and clinician feedback, growing smarter and safer over time.
Insights from the first year
The process has also revealed the scale and complexity of the task. “You’re not just predicting one thing,” says Owen Sweeney, Clinical Data Scientist at Blüm. “You’re capturing dozens of complications, hundreds of symptoms, and a wide range of patient contexts, and trying to surface the right level of risk, at the right time, without triggering unnecessary alarms.”
That balance, nuance without noise, has shaped every part of the system’s design. From how symptom inputs are structured to how risk thresholds are defined, the team has worked to build a model that’s clinically intelligent but still practical in real-world care.
This first year has been about transforming deep clinical knowledge into technology, turning insight, data and lived experience into the building blocks of a system designed to make care earlier, safer and more proactive.
Looking ahead
In the coming year, the team will expand the complication library to cover a wide range of common and high-risk conditions, including MSCC, DVT, opioid toxicity, bowel obstruction, and hepatic encephalopathy, each supported by a complete, clinician-validated assessment model. This will be paired with an in-app experience designed to connect predictive insights with real-world action.
“Being able to flag serious complications earlier at home can completely change the course of an illness experience,” says Rosina Goldsmith, Clinical Nurse Lead at Pal. “Sometimes it’s about catching something like bowel obstruction just in time. Other times, it’s about giving families confidence that what they’re seeing is okay. Pal-PCS is being built to support both.”
Funding
The Pal-PCS project has received funding from the Netherlands Enterprise Agency (Rijksdienst voor Ondernemend Nederland, RVO) and Innovate UK through the Eureka Network and the Eurostars programme, which is co-funded by the European Commission as part of the European Partnership on Innovative SMEs.
About Amie Technologies
Amie Technologies is a digital health company transforming palliative and supportive care through AI-driven solutions. Founded in 2022 by Nara Moripen (CEO) and Azi Doost (COO), the company develops Pal, a digital health platform that improves access to supportive care and empowers families with timely, data-driven support at home. By enabling earlier interventions and reducing hospitalisations, Pal enhances patient quality of life while lowering healthcare costs.
Enquiries Amie Technologies
Website: https://www.palhelps.com/
About Blüm Health
Blüm Health is a healthcare technology company specialising in managed services and bespoke software development for public and private sector organisations across the UK and internationally. Founded by clinicians and engineers, they bridge the gap between healthcare excellence and technological innovation, delivering scalable, compliant and patient-centred solutions. With a strong track record in developing SaaS and SaMD solutions for hospitals, universities and industry partners, Blüm Health is committed to advancing digital maturity in healthcare through cutting-edge, regulatory-compliant technology.
Enquiries Blüm Health
Website: https://blumtechgroup.com
