Analytics | Changi General Hospital

What is Analytics?

Analytics is the process of developing actionable insights through problem definition, application of statistical models or operations research techniques and analysis against existing and/or simulated future data.

What do we do?

HSR conducts in-depth analysis into key strategic areas to provide insights for management using operations research techniques (e.g. discrete event simulation and optimisation) and business analytic approaches. Our findings provide the basis for decision making in designing interventions to address areas of strategic and operational concern.

Goal	Example of Past Projects	Methodology	Value
Understand factors associated with specific outcome(s)	Factors associated with: SOC consult wait time QOL of breast cancer patients and their partners Low resource utilisation Factors associated with frequency inpatient admissions Utilisation of elective major operating theatres Utilisation of endoscopy centre Utilisation of ultrasound scan room Patient falls during inpatient stay Repeat A&E visits	Analytical Statistics	Design of intervention(s) or counter-measures
Understand factors associated with specific outcome(s) Identify high-risk patients for intervention(s)	Frequent admitters 30-day readmissions SOC no-show Characterisation of SOC high utilisers Knowledge and awareness of advance care planning in CGH Utilisation pattern of repeat visitors to A&E	Machine learning/ Descriptive statistics	Rationalise resources for targeted interventions
Design facility or resource allocation plan to meet performance targets or improve performance outcome(s)	Outpatient pharmacy design A&E junior doctor allocation HD bed allocation for hip fracture patients Design of outpatient pharmacy automation system Inpatient bed management	Optimisation and simulation modelling	Data-informed decisions that meet performance targets or improve performance outcome(s)

Software Support

Methodology	Software
Statistics	SPSS, STATA, R
Machine Learning	R, Python
Optimisation modelling	Generalised Algebraic Modelling System (GAMS)
Simulation modelling	Simul8, Excel, VBA

Selected analytics-related first-author publications

Oh HC, Chow WL, Tiah L, Goh SY, Tiruchittampalam M. Factors Associated with Inappropriate Attendances at Emergency Department of a Tertiary Hospital in Singapore. Singapore Medical Journal 2020; 61(2), 75-80
Nang EEK, Tai ES, Lee J, Soekojo CY, Ng A, Van Dam RM. Epicardial and visceral adipose tissue in relation to subclinical atherosclerosis in a Chinese population. PLoS One. 2018; Apr 25;13(4): e0196328
Oh HC; Chow WL, Looi P, Goh PL, Lim SHC, Tiruchittampalam M. Patient Experience Enhancement at Accident and Emergency Department: Junior Doctor Manpower Reallocation Optimization. Journal of Management Science and Engineering. 2017, 2(3), 193-208.
Nang Ei Ei Khaing, Rob M. van Dam, Tan CS, Falk Mueller-Riemenschneider, Lim YT, Ong KZ, Ee S, Lee J, Tai ES. Association of television viewing time with body composition and calcified subclinical atherosclerosis in Singapore Chinese. PLoS One. 2015;10(7):e0132161.
Koh XH, Liu X, TeoYY. Can evidence from genome-wide association studies and positive natural selection surveys be used to evaluate the thrifty gene hypothesis in East Asians?. PloS one 2014, 9(10), p.e110974.
Oh HC, Zhang DL, Phua TB; Chow MPY. Uncover effective process improvement strategies in emergency department with aid of discrete event simulation. Health Systems 2014, 3(2), 93-104.
Oh HC; Wong JA; Tan MC. Enhancement of patient and staff experience at outpatient pharmacy via optimization of drug-shelf reallocation. Operations Research for Health Care. 2014, 3, 15-21.