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+---
+layout:     post
+title:      Process Mining in Python
+date:       2022-06-30 12:00:00
+summary:    Process Mining in Python
+categories: python, process mining, NHS
+author:     Craig Shenton
+author-bio: Medical Directorate, NHS England
+author-link: https://github.com/craig-shenton
+---
+
+## Process Mining in Python
+
+The analytical tools used can be complex for non-analysts and the analysis generated provides oversight rather than relevant actionable insights [[1](https://www.logantod.net/resources/accelerate-nhs-recovery-with-process-mining)].
+
+Process mining as a proven technique to analyse any process flow, with widespread adoption outside the NHS [[1](https://www.logantod.net/resources/accelerate-nhs-recovery-with-process-mining)].
+
+Process mining is a technique to analyse and monitor processes. A patient journey can be viewed as a series of process steps e.g. in elective care, patients start their journey from a referral, flowing through a series of processes before completing their journey with a discharge [[1](https://www.logantod.net/resources/accelerate-nhs-recovery-with-process-mining)].
+
+ZhiQian Huang  - Chief Impact Officer & Co-Founder @ Logan Todd & Co.
+
+<div class="nhsuk-action-link">
+    <a class="nhsuk-action-link__link" href="https://olobiotokoni.medium.com/write-or-die-fc8a081508b1">
+        <svg class="nhsuk-icon nhsuk-icon__arrow-right-circle" xmlns="http://www.w3.org/2000/svg" viewBox="0 0 24 24" aria-hidden="true">
+            <path d="M0 0h24v24H0z" fill="none"></path>
+            <path d="M12 2a10 10 0 0 0-9.95 9h11.64L9.74 7.05a1 1 0 0 1 1.41-1.41l5.66 5.65a1 1 0 0 1 0 1.42l-5.66 5.65a1 1 0 0 1-1.41 0 1 1 0 0 1 0-1.41L13.69 13H2.05A10 10 0 1 0 12 2z"></path>
+        </svg>
+        <span class="nhsuk-action-link__text">Using Process Mining to accelerate eletive recovery in the NHS</span>
+    </a>
+</div>
+
+<div class="nhsuk-card">
+    <img alt="code" class="nhsuk-card__img" src="../assets/img/posts/proc-mining.png" />
+</div>