Enola is a symptom checker for undiagnosed rare disease patients and their clinicians. It uses real-world evidence to create a prioritised differential diagnosis (DDx) based on the symptoms and findings of the patient. This helps to narrow-down and prioritise further investigation and testing and ensures statistically significant rare diseases are considered. Combined with real-world patient data and evidence, it has the potential to dramatically reduce the diagnostic odyssey faced by patients with an undiagnosed rare disease, currently between 5 and 7 years.

Take a look at Enola but please remember this is only a demonstration of technical feasability (Proof of Concept) and not a medical device. It is not a sympton checker and it does not include common diseases. It should not be used as a substitute for medical advice from a physician.

Undiagnosed and rare diseases are a huge challenge for healthcare systems and patients. For more on the scale of the problem, initiatives to improve diagnosis and treatments and training opportunities see:

Why PANDA?

PANDA (Paediatric Acuity & Nursing Dependency Assessment) enables nursing management to estimate safe nursing care for children on their wards. This is a critical challenge at all times but especially so when there are widespread nursing shortages.

PANDA was designed to meet the nursing care needs of acute paediatric patients. Most other similar tools for children are adapted from safe care tools designed for adults. Its use ensures compliance with safe care guidance for each shift, identifying resources, skills and gaps that may compromise patient care.The system was developed in partnership with Great Ormond Street Children’s Hospital (GOSH).

It is currently in use in 3 NHS England Trusts serving approx. 500+ beds.

PANDA Features

PANDA uses an industry-approved safe nursing care model. It generates staffing recommendations for each ward based on the needs of its patients. It calculates the right number and skill-set of nurses per ward shift based on the needs of each patient.

In addition, it collates data on the UK Paediatric Critical Care Minimum Data Set (PCCMDS) to allow accurate charging of high dependency care.

And because it highlights the gap between resource availability and needs, it can also provide useful input to staff training planning.

How PANDA supports safe nursing care

PANDA calculates safe staffing levels by assessing patients against 84 ‘care categories’ to determine patient acuity levels. These care categories are derived from guidance from the Department of Health and the PCCMDS.

PANDA then identifies the appropriate ‘nursing dependency’ needs for each child based on guidance from the Royal College of Nursing.

Benefits for NHS Trusts

PANDA has demonstrably improved resource-sharing across wards, highlighted nursing shortages and demonstrated compliance with safe care guidelines.

It has also generated over £10m in additional Clinical Commissioning Group (CCG) funding for one trust as it provides the evidence required to secure funding.

And most importantly, it has improved the confidence of nursing staff that they are meeting the nursing needs of high dependency patients in their care.

What Next? PANDAi!

But PANDA has been around for a while and needs a new look and feel to work on mobiles and tablets, and to take advantage of new technology such as artificial intelligence (AI).

PANDAi is scheduled for release in the second quarter 2022. Take a look at PANDAi: a new look for PANDA to find out more.

Want to know more?

See GOSH PANDA for additional details on the GOSH site or contact us at info@c-bia.co.uk.