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This is a rare opportunity, where in the same room, you might have busy clinicians and academic leaders. You actually start to understand how this all works together - and that's where you get the excitement, where there's understanding that bringing academic medicine to a busy clinical setting ultimately really distinguishes the healthcare delivery.
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~ Prof Mary Klotman Dean, Duke University School of Medicine, USA
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Programme >
Allied Health Symposium Future of Patient Voice in Healthcare
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Track type:
Symposium
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Date: 17 Sep 2021
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Time:
1050 - 1220
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Location:
Seminar Room 3
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Harnessing the patient’s voice using Patient-Reported Outcome Measures (PROMs) aligns with the global initiative to move from volume- to value-based healthcare. Computerised Adaptive Testing (CAT) offers precise, efficient and real-time measurement of PROMs, overcoming many of the current barriers to PROM implementation in healthcare. In this presentation, the speaker will discuss important considerations in PROM testing, using examples from my previous work in understanding and measuring patient-reported outcomes in vision impairment and eye diseases. He will outline the limitations of using ‘paper-pencil’ questionnaires to collect PROM data, and present item banking and CAT as an elegant solution with the potential to revolutionise PROM collection in healthcare. The team’s large body of work in developing and validating several quality of life (QoL) CATs in Ophthalmology and present some preliminary findings on the feasibility and acceptability of implementing our glaucoma (GlauCAT) and vision impairment (IVI-CAT) QoL CATs in two tertiary eye institutes in the USA and Singapore. The speaker will also outline some insights and lessons learned during the implementation process and highlight plans for future implementation projects that will streamline the end-to-end collection of PROM data, resulting in full integration of CAT software and electronic health records.
TOPIC 1:
Smart Questionnaires Using a Cloud-based Platform: The Future of the Patient Voice in Healthcare
*Information is correct at time of update
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