Enhancing PROMs Efficiency with Robotic Automation: A Best Practice Model
Care Process & Redesign
Technology
National Healthcare Innovation and Productivity Medals
SingHealth
9 October 2025
The aim is to enhance the efficiency of Patient-Reported Outcome Measures (PROMs) collection and processing through the. The RPA solution effectively improved the efficiency of PROMs processing, leading to better patient care and significant time and cost.
Year Submitted: 2025
Published Date: 09 October 2025
Tags: Care Process ＆ Redesign, Automation, Technology, Patient Reported Outcome Measures, Value Based Care, Robotics Process Automation, Manhour Saving, Cost Saving
About this Content
Aims
The aim is to enhance the efficiency of Patient-Reported Outcome Measures (PROMs) collection and processing through the implementation of Robotic Process Automation (RPA) to improve physiotherapy management and patient care.
Background
PROMs are essential for physiotherapy management and are part of the Ministry of Health’s One-Rehab initiative. The traditional manual process was time-consuming and inefficient, prompting the need for an automated solution.
Methods
The project involved implementing RPA to automate the collection and processing of PROMs. This included sending automated SMS with web-links to patients, using FormSG for data collection, and integrating with existing IT systems for processing and reporting.
Results
Since the implementation of RPA, significant improvements were observed, including saving 2,925 manhours and achieving a productivity gain of $125,853.58. The RPA processed 21,941 responses, enhancing workflow efficiency and patient care.
Conclusion
The RPA solution effectively improved the efficiency of PROMs processing, leading to better patient care and significant time and cost savings.
Lessons Learnt
Key lessons include the importance of stakeholder engagement, user-centered approaches, and adaptability in overcoming technical challenges and ensuring successful implementation.
Keywords
PROMs, Robotic Automation, Physiotherapy, Efficiency, Workflow
Innovators' Details
Innovators' Details
Healthcare Cluster(s) | SingHealth |
Organization(s) Involved | Singapore General Hospital |
Platform(s) | National Healthcare Innovation and Productivity Medals |
Healthcare Professional Group(s) | Allied Health |
Applicable Specialty or Discipline | Physiotherapy |
Project Lead(s) | Jonathan Lim Ern |
Project Member(s) | Adj. Asst. Prof. Philip Cheong |
Connect with this contributor!
Mr Jonathan Lim Ern - jonathan.lim.ern@sgh.com.sg
Project Attachment
1044_SGH_NHIP_2025_Enhancing_PROMs_Efficiency_with_Robotic _Automation.pdf