Data analytics at Alexandra Health System: A new journey in the healthcare industry
Publication Type
Case
Publication Date
10-2016
Abstract
The case is set in June 2014, when Lau Wing Chew, Chief Transformation Officer (CTO) at Alexandra Health System (AHS) in Singapore was highlighting the achievements of the data analytics initiative made by the Health Analytics Unit (HAU) at AHS to his management team. Although the initiative was still in its initial stage, multiple medical and administrative areas, such as the operation theatre dashboard, ageing-in-place and population health initiatives targeting patients' health expenditures and outcomes had been improved with the help of data analytics.
The journey to develop the data analytics initiative had commenced in 2011, when Lau reviewed a set of data presented by the Accident & Emergency (A&E) Department, and realised that non-emergency cases at A&E were taking up too much of hospital resources. He also noted other pressing resource-related issues, such as acute bed shortages and patients not showing up for their appointments at specialist outpatient clinics, causing a sub-optimal utilisation of critical resources like doctors and appointment rooms. Lau knew that given the right metrics, predictive analytics could improve the situation.
In the following three years, the HAU had leveraged the capabilities of data analytics to roll out initiatives such as population health and ageing-in-place programmes, and implementing solutions into patient medical billing and operating theatre dashboards. Although these unremitting efforts were showing results, the challenges ahead were significant. The HAU team not only needed to get buy-in at an operational level with different business units, but also needed to increase health awareness in patients. How could AHS improve the data analytics initiative further, and plan its resources optimally.
Through the case study, students will gain an understanding of the critical success factors and challenges faced during the implementation of analytics projects, as well as learn how to operationalize such a project within an organisation.
Keyword(s)
auditing, data analytics, predictive analytics, control systems, management control, healthcare
Discipline
Business Administration, Management, and Operations | Numerical Analysis and Scientific Computing | Strategic Management Policy
Research Areas
Information Systems and Management
Data Source
Field Research
Industry
Healthcare
Geographic Coverage
Singapore
Temporal Coverage
2014
Education Level
Executive Education; Postgraduate; Undergraduate
Publisher
Singapore Management University
Case ID
SMU-16-0026
Additional URL
https://cmp.smu.edu.sg/case/2041
Comments
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