Internship
Advance Care Planning analytics at NUH
Analysed two years of Advance Care Planning records to find when in treatment, and in which departments, ACP conversations work best; redesigned the ACP data-entry template; and analysed billing data to support compassionate discharge.
Image to comean image, if one can be shown (no patient data)16/9
The problem
Advance Care Planning (ACP) helps patients set out their wishes for future care. It works best when the conversation happens at the right moment, and the hospital wanted evidence about when and how that is.
What I built
- Statistical analysis of two years of ACP records. The key questions were at what time, and at what stage of treatment, doctors and nurses should raise ACP with patients, and which departments had the best success rates. The trends informed policy decisions and patient care.
- A new ACP data-entry template, designed and implemented to make documentation more accurate and efficient.
- Billing-data analysis to support compassionate discharge: cost-effective, patient-centred end-of-life care.
TODO: Any result that can be shared publicly, for example a finding about timing, or the template’s effect.
What I learned
TODO: One or two sentences in my own words.