This enables Trusts and hospitals to benefit from an immediate improvement in the accuracy of their income for elective work, often realising hundreds of thousands of pounds in missed income within weeks.
The solution also improves data quality across non-elective activity to provide accurate financial baselines for ‘fixed’ elements and support contract negotiations.
We knew that there was potential in our data – the introduction of block contract funding during COVID, which also introduced home working for many of our teams – lead to a reduction in the accuracy of our coding. Maxwell Stanley have not only identified an incredible amount of additional income, but also improved our published coding depth figures. In just 4 months!
The identification of this incorrect information is vital for morbidity data quality, as published SHMI scores can inaccurately reflect the hospital performance.
The solution outcome provides Trusts and hospitals with a fast improvement of their SHMI score, often resulting in an 'as expected' rating, despite there being no changes to clinical processes.
We asked Maxwell Stanley to help us identify whether there were improvements that would improve our financial position to ensure we are able to recover the correct income for the treatments and care our clinicians provide and they really delivered – we have seen measurable increases in case value and they’re providing us with regular reporting, which we use to educate our coding teams and clinicians to reduce documentation and coding errors in future. Our SHMI score improved significantly, and this has been sustained.
12 months of data processed through the solution
Identification of targeted Spells from the most recent month for review
Spells prioritised based on client requirements such as income or mortality
Maxwell Stanley qualified auditors review 100 high priority spells, validating coding accuracy against clinical documents
Trust signs-off amendments where auditors have confirmed inaccurate coding and documentation
Agreed amendments made within the PAS record
Maxwell Stanley present findings, including financial impact
Analysis of reasons for error
Qualitative feedback on quality of documentation and coding
Projections of financial opportunity going forward