Clinical Data Intelligence

Clinical Architecture CDI

Clinical Data Intelligence- Improving Data Quality, Patient Safety and Prevalence Measures

The purpose of collecting clinical data is to help health care professionals improve patient outcomes and improve the administration of healthcare delivery. Those involved in healthcare will know that data collection is often not done consistently and can suffer further degradation through data exchange, data migration and through changes to the terminologies used in clinical applications.

Working with clinicians, commissioners and researchers, Clinical Architecture have developed an intelligent clinical data solution that draws on our expertise in terminology management, clinical coding, clinical mapping, decision support , data analytics and clinical language processing to accurately identify actionable patient scenarios leading to enhanced patient care,  improved resource allocation, tighter financial planning,and higher data quality.

Primary Care Use Cases

How Will SNOMED CT Affect Our GP Practice or Practices?

April 2018 sees the start of the mass adoption of SNOMED CT across General Practice , with System Suppliers working with NHS England to introduce the new terminology to their customers. Having insight to the impact of this change we recognised that preparation is key if practices and commissioners want to ensure that they maximise the advantages of SNOMED CT, and reduce any unexpected problems that the process could introduce to day to day operations and reporting.

To help Practices and Commissioners we have developed a simple utility that practices can use to see how their patient data will look after their Read codes are mapped to SNOMED CT. At a glance practices can see the incidence of mapped terms and those terms that are not able to be mapped. Simply having this information will enable them to correct any anomalies with their Read coded data before the data migration exercise starts formally in April helping them to understand the impact of the change and enabling them to plan for the future.

How Can I Significantly Improve The Accuracy of Our Prevalence & QOF Registers?

You may not realise it but a lot of valuable information is actually trapped in the free text notes of the patient record. The CDI solution now frees that information and combines it with coded data in the patient record to improve the accuracy of Prevalence and QOF reporting. Our accuracy in identifying missing qualifying patients runs at over 90% thus removing one of the big issues associated with alternative methods which produce long lists of inappropriately identified patients all of which require time and effort to review. We have further improved the validation process by  providing the evidence to show why the patient was selected and subsequently give single click access to the full patient data for quick review and confirmation. Our approach not only speeds up the validation process, but it also removes the need for specific clinical system knowledge so that the work can be done by a member of the CCG data quality team or other personnel regardless of the main GP system in use.

How Does This Help With Patient Safety?

Working with practices we have used the Clinical Data Intelligence solution to identify unrecorded diagnoses , inappropriate prescribing,  incorrect monitoring, guideline variance and patient safety issues using information that was lost in free text notes or where information was inappropriately coded.

For more information on how you can get access to the Clinical Data Intelligence solution please call us on 01837 657 666 or email us for more information   info@clinicalarchitecture.co.uk.