The NHS is moving to a more collaborative, integrated approach in designing, planning, and delivering health services across local areas. This means that the data used across different types of NHS organisations needs to be consistent and reliable across all settings: inpatient, outpatient, community – and across all provider types, from specialist hospitals to mental health providers. Unfortunately, it's clear that these standards are currently not in place.
Traditionally, mental health and community data has received less scrutiny than acute hospital data. As a result, the data for these two sectors is less well developed. This will make it harder for health systems to progress with the integration of services and deliver improvements in care.
We have been collaborating with the Healthcare Financial Management Association (HFMA) to look at the challenges that NHS clinical data quality presents to accurate cost information, and the relevance of decisions based on this data.
The HFMA is a professional association for finance staff working in healthcare. It's a charitable organisation that uses its local and national networks to promote the highest professional standards and innovation in financial management and governance across the UK health economy. It's provided independent support and guidance to its members and the wider healthcare community for over 70 years.
The first stage of our work with the HFMA was published earlier in the year, identifying that improvements were required in community and mental health data. We also described the steps that executive staff and clinical leaders can take to put processes in place to deliver accurate clinical and cost information.
Since then, we've worked with both the HFMA and NHS colleagues from community and mental health organisations to understand their concerns and explore practical solutions to improve the accuracy and usability of their clinical data. We published these fresh findings in our second briefing: improving data quality for costing community and mental health services.
One reason community and mental health services struggle to demonstrate their value within health systems because they don't have enough reliable and relevant data. Accurate data is necessary to drive the necessary innovation and changes to care outlined in recent NHS policy documents, including its Long Term Plan:
Yet, understanding the benefits of improving clinical data quality does not make the solutions for delivering it obvious.
The lower scrutiny of mental health and community data has ingrained problems with accuracy. When the HFMA's Costing for Value Institute recently surveyed its members on mental health and community health data, many members responded that it was often of poor quality or even incomplete.
We collaborated with Institute members to identify potential solutions that would help them realise their ambitions for improving patient care, including chairing a workshop at the Institute’s Costing Conference in April 2021.
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Good data quality is not only necessary for financial management. The primary use of the data is clinical. The same data underpins service redesign and the monitoring of clinical quality, as well as the Model Health System and Getting it Right First Time [ 1316 kb ].
Grant Thornton and the HFMA will be hosting a webinar with colleagues from the NHS to discuss these and other solutions at 13.30 on 5 November 2021.
For further information on optimising NHS data collection, contact Howard Davis.
