Mental Health Services Dataset SNOMED data quality dashboard

This dashboard has been designed to help providers improve their usage of SNOMED and thereby improve the submission of SNOMED to MHSDS.

You may find it useful to expand the power BI to full screen mode by using the diagonal arrows on the bottom right of the frame.  

To navigate through the tool, use the contents tab at the bottom of the page. Or use the arrows in the bottom left and right corners of the screen. Each tab contains information on a specific topic or measure.

Select a region, organisation and where applicable month from the options available in each tab to view corresponding data.

SNOMED is a clinical terminology used in electronic health records, SNOMED gives clinical IT systems a single shared language, which makes exchanging information between systems easier, safer and more accurate. It contains all the clinical terms needed for the whole NHS, from procedures and symptoms through to clinical measurements, diagnoses and medications.

Clinicians are advised to use SNOMED in such a way, that if another clinician were to review the care notes enough detail is there to allow that clinician understand the care that has been given.

The dashboard will help providers get a better understanding of SNOMED and how to improve usage. The dashboard assesses how much SNOMED is flowing to MHSDS, to which fields and tables, and by which providers, there is also a focus on procedures and assessments.

The data used within the dashboard is from April 2020. Data can be filtered by region, provider, most recent system supplier and where appropriate by month. 

The three main areas covered by the dashboard are

• which organisations have or have not submitted any SNOMED
• counts of the number of different concepts submitted and values at national and organisational level
• which organisations have submitted any data to the tables and fields in MHSDS that accept SNOMED

Table MHS202 Care Activity should be used to record the procedures that have been undertaking as part of the direct care of the patient.

This dashboard shows: 

• the appropriateness of some of the SNOMED concept submitted using the procedure categories below as a benchmark
• the number of SNOMED procedure records submitted over time  

Assessment scales need to be recorded in 3 tables only.

The dashboard shows

• the list of organisations who are submitting SNOMED assessment scales to an incorrect part of MHSDS

MHSDS published measures on children and young people entering treatment and waiting for treatment in a 3 month period. Published statistics can be viewed here: Mental Health Services Monthly Statistics - NHS Digital.  

SNOMED is used to show that a person has entered a NICE concordant treatment. The dashboard shows at provider level the number of referrals entering treatment in the current 3 months and the number still waiting at the end of the month. The waiting group are split into more detail on why a referral is showing as still waiting. Providers can also ask for record level data so they can improve data quality on this metric. Contact mhsdsdq@nhsdigital.nhs.uk  for more information.

The report cannot tell you an exact list of which SNOMED concepts we expect to see submitted to MSDS. 

It cannot tell you if every SNOMED concept submitted by an organisation is appropriate, as there is such a wide range on the SNOMED concepts that can be used as part of clinical care. We will not be able to assess all the individual SNOMED codes that flow to MSDS.

Only provides who are recorded as submitting to MHSDS as per the MHSDS submission update, are included in this dashboard.  The data is from April 2020 onwards. 

The dashboard uses data submitted via the multiple submission window model so may differ from published monthly metrics which do not use the multiple submission window model. Where monthly data is shown, the most recent month is provisional. This gives users a timely view of the data but this may change once performance data has been submitted.

Questions and feedback should be sent to mhsdsdq@nhsdigital.nhs.uk