Here are the finalists for the category of digital clinical safety and process improvement.
Overview. Pinpoint Ltd installed staff safety systems in Smallwood Manor to protect staff and service users from risk of harm. Smallwood Manor is an independent tier 4 hospital in North Staffordshire providing a therapeutic environment for young people and their families in which to receive care and treatment.
Why? Pinpoint’s reliable and effective alarm systems enable healthcare workers to call for assistance in any situation – alerting a response team to the exact location of an incident ASAP. Pinpoint’s staff safety systems reduce risks of harm to healthcare workers by quickly de-escalating potentially dangerous incidents. Likewise, by using nurse call buttons, patients in the hospital can summon assistance and be reassured help will be very swiftly on its way.
What happened? Personal Infrared Transmitters (PITS), which act as personal safety alarms, were given to all staff members to alert them should an incident take place. Every member of the team was given comprehensive training on how to use the system and the protocol in place for responding to incidents. As a result, both staff and residents are confident in their safety on site and can focus on delivering care and receiving therapeutic treatment respectively.
Looking ahead. Pinpoint continues to reduce risks of harm to healthcare workers, giving them confidence in their safety and thus allowing them to provide the best possible care.
Overview. Predigraft is a global monitoring platform with predictive algorithm embedded for kidney transplant patients. As a digital clinical safety solution, this score can help clinicians to improve graft outcomes, hence preventing return to dialysis.
Why? The iBox algorithm is the first commercially available CE-marked numerical biomarker capable of predicting individual long-term renal graft survival with up to 80 percent performance using functional, immunological, and histological parameters. Other scores have been published but have only achieved a performance of 60-70 percent and therefore cannot assist in medical decision-making. A study conducted by the Paris Transplant Group has demonstrated that the iBox outperforms physicians in assessing long-term predictions of transplant failure.
What happened? – Centred around the iBox, Cibiltech has developed Predigraft, a web-based software as a medical device. It offers a global monitoring platform for kidney transplant patients to improve their follow-up with two interfaces: a patient app allowing remote patient monitoring and offering personalized support. The other interface is for healthcare providers who can monitor their patients remotely through a dashboard and receive alters to identify early signs of kidney decline.
Looking ahead. Cibiltech and Predigraft continue to evolve the usability of their software to ensure the highest level of care and efficacy.
The Princess Alexandra Hospital NHS Trust
Overview. The Princess Alexandra Hospital NHS Trust implemented end-to-end processing through a combination of robotic process automation and e-Form technology. The project is backed by a fully sustainable governance framework and seeks to improve both staff and patient experience.
Why? Due to the repetitive and rule-based nature of referral rekeying, the process was the perfect candidate for RPA. Emulating data entry as a person would, bots are able to feed referral information into Cosmic in real-time – meaning information is instantly available to clinicians through the Trust’s EHR. Each referral takes five minutes to process.
What happened? With an average of 188 admissions per day, bots now complete 89 percent of all admissions fully automatically. This means a saving of 14 hours per day, thus giving time back time to administrative teams and clinicians for human-centric, high priority public services. The implementation of autonomous referrals has improved staff and patient experience – speeding up the referral time and leading to faster outcomes. The data entry system with RPA eradicates human error and ensures information reaches its target destination without risk.
Looking ahead. The trust is currently focused on sharing this methodology with other healthcare organisations across the NHS, contributing to the sustainable transformation of healthcare processing across the country and paving the way for growth.
Overview. Royal National Orthopaedic Hospital (RNOH) adopted Pathpoint, Open Medical’s intuitive platform, to digitally revolutionise their care model. The trust is transforming referral management, patient-reported outcome measures, and elective surgical care pathways.
Why? RNOH needed a robust digital solution and chose Pathpoint as their enabling tool to digitally revolutionise their model of care. As a centre of excellence that receives exceptionally complicated referrals from across the country, RNOH needed a reliable digital tool particularly to optimise their referral triage and management processes.
What happened? Pathpoint has integrated with the national electronic referral system (e-RS) and captures real-time, granular, structured clinical data, seamlessly bridging the gap between primary and secondary care. Referrals from secondary to tertiary care have mandated fields that provide all relevant clinical information, eliminating back-and-forths between the clinician and the referrer, saving valuable time. With Pathpoint’s innovative PROMs system, RNOH can effectively monitor patient progress over time, identify the patients who need additional clinical care, and demonstrate the effectiveness of their interventions.
Looking ahead. RNOH will soon be going live with Pathpoint SurgiCare to digitally transform their end-to-end elective surgical care pathways. SurgiCare encapsulates each step in the elective care pathway from decision to operate to post-operative discharge, seamlessly connecting surgical, preoperative assessment, and anaesthetic teams.