Case Study
UHB Treats Patient Records with Care Using Intelligent Automation
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Our Trust has a philosophy that time matters. Using Blue Prism Cloud’s intelligent automation platform has released time for our medical secretaries. This gives them more time to speak with patients on the phone or solve problems for doctors, nurses and other team members. Our staff has more time to make a difference, which improves our patients’ care and experience”
Chief Technology Officer, ESNEFT, LinkedIn
Patients entering a hospital want to know they will receive the highest quality of care. The East Suffolk and North Essex Foundation Trust (ESNEFT), part of the UK’s National Health Service (NHS), is committed to delivering this care. It strives to provide cutting-edge services to all patients entering exam rooms. After a patient receives a referral to the hospital from a GP, hospital staff gathers, downloads, and prints all of that person’s data, including items like scans, blood tests, and test results. With 2,000 referrals coming in per week, each taking roughly 20 minutes to process, medical assistants were stuck under an avalanche of paper. So, the Trust has innovated its patient care model by digitizing services with intelligent automation and artificial intelligence.
Eliminating paper from business processes is not only good for the planet, but it’s also good for the staff who handle the paper. When the NHS instituted a “paper switch-off” program, it meant that ESNEFT had to switch all general practitioner (GP) referral submissions from paper to the Electronic Referral Service (eRS). Patients experiencing an issue with their health visit their GP first. If needed, the GP refers them to a hospital within the Trust. After a patient receives a referral, hospital staff gathers, downloads, and prints all of that person’s data, including items like scans, blood tests, and test results. The packet is collated, scanned into a PDF document, and uploaded into the administrative system. With 2,000 referrals coming in per week, each taking roughly 20 minutes to process, medical assistants were stuck under an avalanche of paper. And, it took valuable time away from supporting consultants and patients. Not only was the manual process slow, but it also cost the Trust around £220,000 per year to maintain.
Blue Prism intelligent digital workers were brought in to actively monitor incoming eRS referrals from GP patient appointments. When a referral arrives, the digital worker extracts the reason for the referral, gathers the supporting clinical information, and merges the data into a single pdf document. The digital workers at ESNEFT have highly secure access, so they can upload the PDF into the Trust’s administrative systems using virtual, smart-card technology. All of this activity is completed within minutes. Once the information has been added to the hospital systems, the digital worker passes the information to the lead consultant for review and grading.
ESNEFT’S philosophy is “time matters.” This motto is clearly represented in the Trust’s approach to automation. With the flick of a switch, digital workers have sprung into action to speed up the GP referrals process, reducing the completion time from 20 minutes to just five minutes. Medical secretaries now have more time to perform essential tasks like interacting with patients and driving internal improvements.
learn how SS&C Blue Prism intelligent digital workers took over this task allowing staff more time to support patients directly.
Patients entering a hospital want to know they will receive the highest quality of care. The East Suffolk and North Essex Foundation Trust (ESNEFT), part of the UK’s National Health Service (NHS), is committed to delivering this care.
After a patient receives a referral to the hospital from a GP, hospital staff gathers, downloads and prints all of that person’s data, including items like scans, blood tests and test results. With 2,000 referrals coming in per week, each taking roughly 20 minutes to process, medical assistants were stuck under an avalanche of paper.
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