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layout: post | ||
title: England Prescribing Data (EPD) analysis using python | ||
date: 2021-06-21 00:00:00 | ||
summary: Exploration of seasonal allergic rhinitis (hayfever) prescribing data using python. | ||
categories: python, | ||
author: Adenrele Komolafe | ||
author-bio: Royal Surrey NHS Foundation Trust | ||
author-link: https://www.linkedin.com/in/akomolafe/ | ||
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Whilst sneezing and coughing on a relatively cool evening, I decided to explore seasonal allergic rhinitis (hayfever) prescribing data. The far off aim is to build a model using pollen count data and the prescribing data. In this ongoing process, I have faced multiple challenges. | ||
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> "The English prescribing dataset contains detailed information on prescriptions issued in England that have been dispensed in England, Wales, Scotland, Guernsey, Alderney, Jersey, and the Isle of Man.” — NHSBSA | ||
## Part 1 | ||
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In the first posts of a two-part series, I describe the methods used to exctract data from the CKAN API using `requests` and `pandas` | ||
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### Towards Data Science | ||
[NHS English Prescribing Data (EPD) Analysis Using Python (Part 1)](https://towardsdatascience.com/nhs-english-prescribing-data-analysis-using-python-9d86ec610880) | ||
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## Part 2 | ||
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In the second posts of this two-part series, I aim to increase time efficiency of my data exctact, to explore the data, and to connect to a remote server in preparation for computationally expensive tasks. | ||
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### Towards Data Science | ||
[NHS English Prescribing Data (EPD) Analysis Using Python (Part 2)](https://towardsdatascience.com/nhs-english-prescibing-data-epd-analysis-using-python-part-2-aa990e4e47dd) | ||
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layout: post | ||
title: titl | ||
date: 2022-05-15 15:31:19 | ||
summary: | ||
categories: | ||
author: | ||
author-bio: | ||
author-github: | ||
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layout: post | ||
title: titl | ||
date: 2022-05-15 15:31:19 | ||
summary: | ||
categories: | ||
author: | ||
author-bio: | ||
author-github: | ||
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https://blog.nhsbsa.net/2021/05/07/how-one-piece-of-code-saved-the-nhs-over-90000-hours-of-gp-time/ | ||
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How one piece of code saved the NHS over 90,000 hours of GP time | ||
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NHS Business Services Authority |
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