Automating the Prescription Screening Process in Medication Delivery with Robotic Process Automation (RPA)
Technology
National Healthcare Innovation and Productivity Medals
SingHealth
31 December 2024
Automate prescription screening using RPA to detect urgent medication needs, allowing prioritization of pharmacist reviews. First RPA-based prescription screening system, with potential for adoption across SingHealth institutions.
Year Submitted: 2024
Published Date: 31 December 2024
Tags: Technology, Digitalisation, Automation, Robotics Process Automation, Value Based Care, Safe Care, Patient Satisfaction, Access To Care, Waiting Time
About this Content
Aims
Automate prescription screening using RPA to detect urgent medication needs, allowing prioritization of pharmacist reviews.
Background
SGH's Medication Delivery Service (MDS) has a 7-day processing time. Delays in screening urgent prescriptions increase healthcare costs due to potential hospital admissions.
Methods
Developed RPA to analyze electronic prescription lists, identify urgent cases, and flag them for pharmacist intervention.
Results
43.7% of screened prescriptions were flagged as clinically urgent. Screening time reduced to 21.3 seconds per prescription, enabling same-day patient contact.
Conclusion
First RPA-based prescription screening system, with potential for adoption across SingHealth institutions. Future applications include drug interaction detection and medication compliance tracking.
Lessons Learnt
RPA enhances efficiency and patient safety. Expanding use cases for RPA can improve medication management.
Keywords
Medication Delivery, Prescription Screening, RPA, Electronic Prescription, Pharmacist Review
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, Nursing, Medical, Pharmacy |
Applicable Specialty or Discipline | General Medicine, Infectious Diseases, Pharmacology |
Project Lead(s) | Hwang Yi Kun |
Project Member(s) | Tang Ee Fhong |
Connect with this contributor!
Hwang Yi Kun - hwang.yi.kun@sgh.com.sg