Using Big Data To Guide Decisions


Date: 10/22/19
Credits: .1 CEU
Presenter: Susan Johnson Taylor, OTR/L
Best Business Practice, Funding and Public Policy

Sponsored by Numotion



A study of 1,689 client records of a US- based supplier was conducted in early 2017. The data provided a snapshot into some of the difficulties with provision of mobility equipment. This could assist with education of suppliers, therapists, manufacturer’s reps and funders regarding the complexity of provision of seating and mobility. The initial query reported 19,563 persons who were delivered a mobility base. This population was randomly sampled resulting in a dataset of 1689 clients. Data fields include demographics, mobility and seating equipment codes, diagnoses, detail about the clinical team, payment and “aftersales”. This course will include the results of this descriptive study, as well as how some of the results have been used.

Learning Outcomes

The participant will be able to name 2 reasons use of big data is important
The participant will be able to name 5 data fields and their results
The participant will be able to name 2 ways in which the data from the study was used in practice


Susan is an occupational therapist who has been practicing in the field of seating and wheeled mobility for 39 years primarily in the Chicago area at the Rehabilitation Institute of Chicago Wheelchair and Seating Centre. Susan has published and presented nationally and internationally. Susan is both a member and fellow with RESNA, She is currently a member of the Resna/ANSI Wheelchair Standards Committee and the Clinician’s Task Force. She is the Training and Education Manager at Numotion, USA.