OpenPrescribing Newsletter November 2020

We have been very busy since our last newsletter back in July and there are tonnes of exciting updates for you here! Measure Update: Total Oral Morphine Equivalence The Faculty of Pain Medicine has recently updated their recommendation on oral morphine equivalence (OME) which we use on our OpenPrescribing measure of OME. We have taken this opportunity to update and a new novel implementation of how we assess OME. Until this work is completed we have taken the decision to “suspend” the measure from dashboards however you can still view the old method using this link.

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Biologic Medicines for Severe Asthma

Victory! We have the hospital medicines data. Now: biologic medicines for severe Asthma In July, Ben and Brian wrote a piece in the British Medical Journal arguing that hospital medicines data should be openly shared. Magnificently, the NHS has now made secondary care medicines data (SCMD) available. You can read the full technical specification of the data here but briefly: it is hospital pharmacy stock control data, which is collected and processed by Rx-Info, and is now published on the NHS Business Services Authority website in the NHS dm+d standard we know, love, and have documented well.

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OpenPathology

This is the code related to our OpenPathology project. Specifically this repo stores ad-hoc analyses, papers, and related research. The code for the website (and online tool, when developed) are in their own repository.

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OpenPrescribing

This is the website code forhttps://openprescribing.net - a Django application that provides a REST API and dashboards for NHS Digital’s GP-level prescribing data and NHS BSA’s Detailed Prescribing Information Report. Information about data sources used on OpenPrescribing can be found here.

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OpenSAFELY Cohort Extractor

This is the code for the OpenSAFELY cohort extractor tool which supports the authoring of OpenSAFELY-compliant research, by: Allowing developers to generate random data based on their study expectations. They can then use this as input data when developing analytic models. Supporting downloading of codelist CSVs from the OpenSAFELY codelists repository, for incorporation into the study definition Providing tools to understand and visualise the properties of real data, without having direct access to it It is also the mechanism by which cohorts are extracted from live database backends within the OpenSAFELY framework.

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OpenSAFELY Job Runner

This is the repository for the OpenSAFELY job runner. A job runner is a service that encapsulates: the task of checking out an OpenSAFELY study repo; executing actions defined in its project.yaml configuration file when requested via a jobs queue; and storing its results in a particular locations. The documentation is aimed at developers looking for an overview of how the system works. It also has some parts relevant for end users, particularly the project.

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OpenSAFELY Job Server

This is the code for the OpenSAFELY job server designed for mediating jobs that can be run in an OpenSAFELY secure environment. The Django app provides a simple REST API which provides a channel for communicating between low-security environments (which can request that jobs be run) and high-security environments (where jobs are run).

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What is OpenSAFELY?

What is OpenSAFELY? Working on behalf of NHS England we have now built a full, open source, highly secure analytics platform running across the full pseudonymised primary care records of 24 million people, rising soon to 55 million, 95% of the population of England. We have pursued a new model: for privacy, security, low cost, and near-real-time data access, we have built the analytics platform inside the EHR data centre of the major EHR providers, where the data already resides; in addition we have built software that uses tiered increasingly non-disclosive tables to prevent researchers ever needing direct access to the disclosive underlying data to run analyses; code is developed against simulated data using open platforms before moving to the live data environment.

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OpenPrescribing July Newsletter

OpenPrescribing and Bennett Institute Papers It has been a busy month for paper publication at The Bennett Institute. We have written a brief description of the most recent papers below. Please sharewith colleagues and get in touch if you have any relevant observations! Remember you can read all our academic papers related to OpenPrescribing on our research page. Hospital medicines data: We are frequently contacted at OpenPrescribing about when we are going to make a hospital version.

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