Tableau – How to Effectively Analyse Critical HHS Data

by | Oct 19, 2017 | Data Driven Healthcare Centre | 0 comments

Tableau – How to Effectively Analyse Critical HHS Data

In 1854, Britain’s Soho neighborhood suffered a severe outbreak of cholera. People were dying, but no one was sure how they were contracting it. Conventional wisdom said the dreaded illness was airborne, but British physician John Snow rejected this notion and began plotting cholera cases on a map. This visualization allowed Snow to clearly see that all cholera cases in the neighborhood originated at a local water pump. Snow removed the pump handle and cases of cholera dropped. John Snow’s map gave him the “aha” moment he needed to link cholera to water. Without the map, he had the data — but no way to see what it meant.

NHS 2017/18 Data Security and Protection Requirements Report

In order to meet the challenges in today’s care provision, Trusts will need to change from being simply automated to being data driven, using data to inform and predict care provision choices, actions and strategies. Critical to this approach is the need for effective governance, especially in relation to new and evolving regulations such as GDPR.

Data Integration for Analytics – Information Sheet

In order to meet the challenges in today’s care provision, Trusts will need to change from being simply automated to being data driven, using data to inform and predict care provision choices, actions and strategies. Critical to this approach is the need for effective governance, especially in relation to new and evolving regulations such as GDPR.

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