Cluster analysis and visualisation of electronic health records data to identify undiagnosed patients with rare genetic diseases.

Rare genetic diseases affect 5-8% of the population but are often undiagnosed or misdiagnosed. Electronic health records (EHR) contain large amounts of data, which provide opportunities for analysing and mining. Data mining, in the form of cluster analysis and visualisation, was performed on a database containing deidentified health records of 1.

Re-Engineering Data Processing Workflow to Automate Abbreviations Audit of Clinical Documentation.

In KK Women's and Children's Hospital (KKH), clinical case notes audits are conducted quarterly for compliance of approved acronym usage. Existing process involves the retrieval of mixed hardcopy and electronic case notes for referencing manually to the list of approved abbreviations by clinical coder. Through the use of process re-engineering and excel application, audit coverage can thus be expanded with reduction in human dependency and errors with significant resultant savings in time spent.

A Data Visualisation Approach in Understanding the Obstetrics Patients Conversion.

As the leading maternal and child hospital in Singapore, it is important to understand the current hospital standing and maintain our competitiveness by monitoring the population movement. Through the use of data visualization techniques, the team processed historical data from 2012 to 2020 and presented new data insights for the hospital management to identify potential areas for improvement to increase the delivery rate in the hospital.