"Wherever substandard care is identified, TMLEP instantly generate healthcare analytics, providing the clinical intelligence necessary to generate independent recommendations to prevent incident recurrence and improve healthcare standards and patient safety."
Professor Ian Maconochie FRCPCH FCEM FRCPI FERC PhD, TMLEP's Lead for Patient Safety and Consultant Paediatrician

An Overview to TMLEP's Healthcare Analytics

TMLEP’s Heathcare Analytics are unique in that they provide healthcare providers, clinicians and insurers with the information required to identify trends and improve patient safety, directly responding to instances of substandard care.

TMLEP’s analytics are generated to identify every instance of substandard care detected during the course of TMLEP’s independent investigations, and are available for review typically in TMLEP’s Patient Safety Reports and Clinical Learning Updates

The Healthcare Analytics highlight a number of trends for healthcare providers to consider. Examples are set out below.

Clinical Error Code Analysis

Clinical Error Code Analysis

Based on existing systems such as NHS Improvement’s NRLS system, TMLEP has developed its own clinical error coding matrix which allows each instance of substandard care to be evaluated for the underlying clinical errors driving the event.

Medical Discipline Analysis

Medical Discipline Analysis

By evaluating incidents and identifying their originating disciplines, it is easy to direct improvement efforts towards certain key clinical areas, ensuring resources and healthcare standards are being implemented effectively across the board.

Patient Safety Risk Analysis

Patient Safety Risk Analysis

Each instance of substandard care is afforded a risk rating based on the chance of incident recurrence and level of patient harm experienced. This analysis ensures that those incidents which represent the highest risk to patient safety can be prioritised for improvements.