Stalis Enables Successful Data Migration of over 1,600,000 Records to Cerner Millennium at Lewisham and Greenwich NHS Trust

StalisRecently merged Lewisham and Greenwich NHS Trust contracted Stalis, specialists in integrated care record solutions, to conduct the large-scale data migration and archive project ensuring only accurate, valid and complete data was fed into the trust's new electronic patient record (EPR) system for University Hospital Lewisham, which went live with Cerner Millennium at the end of May.

Based on Stalis' robust and secure CareXML® platform the migration project involved the transformation and archiving of approximately 950,000 patient records, 530,000 historic and future outpatient appointments, and 130,000 inpatient histories into a new consolidated EPR from Lewisham's previous patient administration system. This was followed by the archiving of trust maternity and theatre data from the legacy systems.

The following statistics were achieved at the go live:
Choose & Book 100%
Future Appointments 100%
In Patient Episode 100%
In Patient Waiting List 100%
Master Patient index 100%
Out Patient Episode 100%
Out Patient Waiting list 100%

The CareXML® platform supports heath informatics professionals through the highly complex process of extracting, cleansing and exporting data from any healthcare application onto the new live system whilst eliminating any duplicate records.

Elisa Steele, Director of IT for Lewisham and Greenwich NHS Trust said: "We recognised that the data migration was an integral part of our IT strategy in helping us to reduce data duplication within the local healthcare economy and improving access to patient records. Our experience of Stalis' expertise in this area was very positive; for the length of the project they delivered on time and to a high standard, supporting our Data Migration work stream, data quality and information team very well. Stalis staff worked tirelessly to ensure a seamless migration, providing workshops and training to our staff, and maintaining a professional presence at all times. Their involvement in this project was a very worthwhile investment. Overall this was a text book data migration with superb partnership working between Stalis, the Trust and Cerner."

Andrew Meiner, Managing Director at Stalis said: "We are delighted to have delivered these very positive results project with Lewisham and Greenwich NHS Trust, and to have demonstrated our leadership in data migration, cleansing and integration. The statistics follow similar excellent results achieved with other previous migration projects. We have more than achieved our core objective for this project; ensuring good quality data is available to support healthcare professionals in their day-to-day work as they make decisions about how to deliver the best care for patients. Our extensive expertise and experience in healthcare means we provide NHS organisations with confidence that their staff are working from the best and most complete information, whether they are clinicians making decisions about patient care, managers monitoring performance against contracts, or service improvement managers investing in reorganisation and change management."

About Lewisham and Greenwich NHS Trust
Lewisham and Greenwich NHS Trust was formed on 1st October 2013. The trust is responsible for hospital services at University Hospital Lewisham and Queen Elizabeth Hospital in Greenwich. The trust also runs a range of NHS community services from 13 sites across the London Borough of Lewisham.

About Stalis
Stalis are specialists in integrated care record solutions, with over 30 years' experience of managing NHS data to create high-quality, integrated records that act as the foundation for safe and efficient care. Stalis' solutions support customers looking to deliver integrated care services, migrate smoothly to new systems, improve the quality and accuracy of their data, and enhance their business intelligence and reporting capabilities. Customers in both trusts and clinical commissioning groups turn to Stalis because of its proven methodology and functionally rich software tools, healthcare-only focus and strong track record in successful project delivery.

Most Popular Now

Integrating Care Records is Good. Using …

Opinion Article by Dr Paul Deffley, Chief Medical Officer, Alcidion. A single patient record already exists in the NHS. Or at least, that’s a perception shared by many. A survey of...

Should AI Chatbots Replace Your Therapis…

The new study exposes the dangerous flaws in using artificial intelligence (AI) chatbots for mental health support. For the first time, the researchers evaluated these AI systems against clinical standards...

AI could Help Pathologists Match Cancer …

A new study by researchers at the Icahn School of Medicine at Mount Sinai, Memorial Sloan Kettering Cancer Center, and collaborators, suggests that artificial intelligence (AI) could significantly improve how...

AI Detects Early Signs of Osteoporosis f…

Investigators have developed an artificial intelligence-assisted diagnostic system that can estimate bone mineral density in both the lumbar spine and the femur of the upper leg, based on X-ray images...

AI Model Converts Hospital Records into …

UCLA researchers have developed an AI system that turns fragmented electronic health records (EHR) normally in tables into readable narratives, allowing artificial intelligence to make sense of complex patient histories...

AI Sharpens Pathologists' Interpret…

Pathologists' examinations of tissue samples from skin cancer tumours improved when they were assisted by an AI tool. The assessments became more consistent and patients' prognoses were described more accurately...

AI Tool Detects Surgical Site Infections…

A team of Mayo Clinic researchers has developed an artificial intelligence (AI) system that can detect surgical site infections (SSIs) with high accuracy from patient-submitted postoperative wound photos, potentially transforming...

Forging a Novel Therapeutic Path for Pat…

Rett syndrome is a devastating rare genetic childhood disorder primarily affecting girls. Merely 1 out of 10,000 girls are born with it and much fewer boys. It is caused by...

Mayo Clinic's AI Tool Identifies 9 …

Mayo Clinic researchers have developed a new artificial intelligence (AI) tool that helps clinicians identify brain activity patterns linked to nine types of dementia, including Alzheimer's disease, using a single...

AI Detects Fatty Liver Disease with Ches…

Fatty liver disease, caused by the accumulation of fat in the liver, is estimated to affect one in four people worldwide. If left untreated, it can lead to serious complications...

Meet Your Digital Twin

Before an important meeting or when a big decision needs to be made, we often mentally run through various scenarios before settling on the best course of action. But when...

NHS National Rehabilitation Centre to De…

The new NHS National Rehabilitation Centre will deploy technology to help patients to maintain their independence as they recover from life-changing injuries and illnesses and regain quality of life. Airwave Healthcare...