Webinar 4: From EMR to Data Warehouse - a deep dive into health data

Multiple countries around the Pacific have begun to implement Electronic Medical Records (EMRs) in clinical settings. EMRs bring a raft of benefits, from longitudinal patient care, to improved workflows, and improved clinical safety.



But EMRs also generate vast volumes of data and - used correctly - they can also start to eliminate the burdensome need for endless regular reporting by clinical staff.



How many newly diagnosed diabetes patients did you see last month?

How many suspected malaria cases were confirmed with diagnostic tests?

How many patients pass through your emergency department each day?



Reporting on these questions has hitherto often been done only through regular, aggregate, manual reporting by clinical staff who don’t have the time and who rarely derive any tangible benefits from such data. The quality of manually collected data is also universally poor.



EMRs can automate much of this - but they can also be a source of ‘data noise’, with low quality, irrelevant, incomplete, or inconsistent data plaguing Health Information teams. It is also MUCH easier said than done to take large datasets from relational databases and convert them into comprehensible reports.



From EMR to Data Warehouse
In this Webinar, drawing on lessons from other providers around the world, we are going to do a deep-dive into how BES takes data from our EMR (Tamanu), flattens it, and converts it into reporting schemas for Tamanu itself, as well as Data Warehouses such as DHIS2 and Tupaia.



We will then present case studies of how data products (from clinical encounters) are being used for policy and public health decision making around the region.



The Pacific Health Information Support Hub (PHISH) will also present a case study, zooming in on reporting derived from high quality clinical coding to show the practical benefits that can be driven from this important area of practice.

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