Cecily Morrison is a member of Human Experience & Design (HXD) research group at Microsoft Research Cambridge. She is interested in developing novel ways for people to increase their health and well-being using digital and sensing technologies. Her expertise lies in using techniques from both human-computer interaction and clinical medicine to carry out research that spans from idea conception to implementation.
ASSESS MS is a system to support the clinical assessment of Multiple Sclerosis using depth-sensing computer vision. It aims to provide a more consistent quantified measure of motor ability than currently possible with paper and pencil tools. The system was specifically designed to work within a clinical setting addressing issues from data capture to data visualization. The project is a collaboration with Novartis Pharmaceutical, 3 hospital clinics, and the Machine Learning and Perception Research Group.
Translating Digital Technologies into Practice
A large translation gap has been highlighted between University research and its embedding in clinical practice. Under the guise of the CLAHRC: Collaborations and Leadership in Applied Health Research and Care, I worked directly with health professionals to conceptualize ways current digital technologies could support care practices. Projects spanned concepting tools to engage at-risk youth in family therapy to the clinical evaluation of a novel online intervention for mental health symptoms.
Clinical Information Systems in Practice
There has been substantial policy push to get clinical information systems into practice with the hope that they will reduce medical errors and decrease the cost of care. My research focused on how we can design clinical information systems to fit the situational use of data in clinical settings. Studies covered topics from collaborative use of clinical information systems during ward rounds to the extraction of meaningful data for research.
Morrison C, Huckvale K, Corish B, et al. (in press) Computer Vision for Clinical Assessment: Designing a machine-learning-based system for use in the real world. Human-Computer Interaction.
Huckvale K. Morrison C. Ouyang J. Ghadgha A. & Car J. (in press) The evolution of mobile apps for asthma: an updated systematic assessment of content and tools. BMC Medicine
Morrison C, Culmer P, Mentis H, & Pincus T. (2014). Vision-based body tracking: turning Kinect into a clinical tool. Disability and Rehabilitation: Assistive Technology, (0), 1-5.
Morrison C, Smyth N, Corish R, O’Hara K, Sellen A. 2014. Collaborating with Computer Vision Systems: An Exploration of Audio Feedback. In Proceedings of Design Interactive Systems (DIS’14).
Kontschieder P, Dorn J, Morrison C, et al. 2014. Quantifying Progression of Multiple Sclerosis via Classification of Depth Videos. In Proceedings of MICCAI’14.
Morrison C, Corish R, Sellen A. 2014. Place-onas: shared resource for designing body tracking applications. In Proceedings of CHI EA ’14, 1861–1866.
Morrison C. & Doherty G. 2014. Analyzing Engagement in a Web-Based Intervention Platform Through Visualizing Log-Data. Journal of Medical Internet Research 16, 11, e252.
Morrison C. Walker G, Ruggeri K, & Hacker Hughes J. 2014. An implementation pilot of the MindBalance web-based intervention for depression in three IAPT services. The Cognitive Behaviour Therapist 7: e15.
Jun GT, Morrison C, Clarkson PJ. 2014. Articulating current service development practices: a qualitative analysis of eleven mental health projects. BMC Health Services Research 14, 1, 20.
Hempe E, Morrison C, Holland T. 2013. Exploring the boundary of a specialist service for adults with intellectual disabilities using a Delphi study: a quantification of stakeholder participation. Health Expectations.
Morrison C, Dearden A. 2013. Beyond tokenistic participation: using representational artefacts to enable meaningful public participation in health service design. Health Policy, 112(3), 179-186.
Morrison C, Jones M, Jones R, Vuylsteke A. 2013. “You can't just hit a button’: An ethnographic study of strategies to repurpose data from advanced clinical information systems for clinical process improvement. BMC Medicine, 11(1), 103.
Huckvale K, Car M, Morrison C, Car J. 2012. Apps for asthma self-management: a systematic assessment of content and tools. BMC Medicine 10, 144.
Case T, Morrison C, Vuylsteke A. 2012. The clinical application of mobile technology to disaster medicine. Prehospital and Disaster Medicine, 27:5, pp. 473-480.
Morrison C, Fitzpatrick G, Blackwell A. 2011. Multi-disciplinary collaboration during ward rounds: embodied aspects of electronic medical record usage. International Journal of Medical Informatics, 80(8):e96-e111.
Morrison C, Blackwell A, Vuylsteke A. 2010. Practitioner-customizable clinical information systems: A case study to ground further research and development opportunities. Journal of Healthcare Engineering 1, no. 3: 297-313.
Morrison C, Blackwell A. 2009. Hospital user research using new media arts. In Proceedings of British HCI, 345-353.
Shazia A, Morrison C, Robinson P. 2009. Intentional affect: an alternative notion of affective interaction with a machine. In Proceedings of British HCI, 370-374.
Morrison C, Jones M, Blackwell A, Vuylsteke A. 2008. Electronic patient record use during ward rounds: a qualitative study of interaction between medical staff. Critical Care 12, no. 6: R148.
Morrison C, Blackwell A. 2008. Co-located group interaction design. In CHI '08 extended abstracts on Human factors in computing systems, 2587-2590. Florence, Italy: ACM.