Characterizing patient-friendly "micro-explanations"of medical events

Wilcox, Lauren; Morris, Dan; Tan, Desney; Gatewood, Justin; Horvitz, Eric

doi:10.1145/1978942.1978948

Cited by 13 publications

(8 citation statements)

References 10 publications

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“…This research also uncovered the need to augment views of data with short, explanatory phrases [3]. A follow-up survey study probed patients' and physicians' preferences for linguistic framing of clinical lab results, using short explanations extracted from consumer-oriented websites [4].…”

Section: Patient-centered Information Displaysmentioning

confidence: 99%

The social side of personal engagement in healthcare

Wilcox

2015

2015 International Conference on Collaboration Technologies and Systems (CTS)

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The recent trend toward patient participation in their own healthcare has opened up numerous challenges and opportunities for research related to collaborative systems. In this paper, I summarize interdisciplinary efforts to create "shared understandings of personal health"-in which collaborative systems are designed through ongoing efforts to assess and support patients' information and communication needs. In particular, these efforts address needs as they are made evident in healthcare settings, such as the need to stay informed about care processes, track and communicate symptoms, and learn about treatments and therapies to participate in shared decision-making. I discuss a research program focused on the design of collaborative systems to support shared understandings of a patient's health and discuss a range of current projects in this unique interdisciplinary space. A. BackgroundThe health services industry maintains close connections with research in such areas as Human-Computer Interaction (HCI) Software Engineering, Machine Learning and Biomedical Informatics, among others. Taking a traditional approach, researchers identify opportunities to enhance specific work practices with novel technologies. Oftentimes, especially in the fields of HCI and Software Engineering, researchers work with specific target users of potential technologies through formative approaches, iterative user-centered design and evaluation studies, which often lead to prototypes. Occasionally, these prototypes are further studied in deployments that inspire new products and shape the way health care is delivered. In many cases, however, these efforts often consider the experiences of particular users of healthcare systems-the initial focus on a target user group does not extend beyond that group, and opportunities to study adoption and use of the technologies do not consider the variety of stakeholders influencing actual practice. Of course, these limitations in turn narrow opportunities to incorporate lessons learned from the study of multiple stakeholders into the design of new technologies-and to envision new innovations based on collaborative practices.In contrast to this approach, our research group, focused on human-centered health informatics, has cultivated efforts to facilitate and study "shared understandings of personal health"-in which collaborative systems are designed through ongoing efforts to assess and support patients' information and communication needs. Our efforts seek empirical understandings of these needs, by studying communication, use of novel systems, and perspectives of a variety of stakeholders.Our recent collaborative projects include the School of Interactive Computing and the Institute for People and Technology (IPaT), at Georgia Institute of Technology (Georgia Tech), along with partners at Emory Healthcare, and Children's Healthcare of Atlanta (CHOA). Longer-running collaborative efforts include the NewYork-Presbyterian (NYP) as well as Microsoft Research and MedStar Institute for Innovation. As desc...

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Section: Patient-centered Information Displaysmentioning

confidence: 99%

The social side of personal engagement in healthcare

Wilcox

2015

2015 International Conference on Collaboration Technologies and Systems (CTS)

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“…Recently, researchers in Natural Language Generation (NLG) have begun to apply methods from Artificial Intelligence and Computational Linguistics to develop automated systems for tailoring health information to individual patients [10]. Parallel work has explored automatic generation of short micro-explanations that summarize medical events for real-time delivery in clinical settings [11]. This type of application in the NICU would be of immense benefit for parents of VLBW infants.…”

Section: A Implications For Mastery Experiencesmentioning

confidence: 99%

Self-Efficacy Theory as a Framework For Interventions That Support Parents of NICU Infants

Lee¹,

Garfield²,

Kim³

2012

Proceedings of the 6th International Conference on Pervasive Computing Technologies for Healthcare

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Transitioning a Very Low Birth Weight (VLBW) premature infant from the Neonatal Intensive Care Unit (NICU) to home is a very stressful task for parents. Few studies examined the needs of parents of VLBW infants during the transition; moreover, even less is known about technology development strategies that aim to increase the parenting confidence. In this study, we used Bandura's self-efficacy theory as a framework to understand ways to develop successful interventions for parents of VLBW infants. The self-efficacy theory posits that parenting behavior and the quality of care can be improved by supporting the four major sources of self-efficacy: mastery experiences, vicarious experiences, social persuasion, and physiological responses. We describe self-efficacy theory and its role in the development of technology interventions to support parents of NICU infants using a case study, called NICU-2-HOME.

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“…However, DiMarco et al, (2005; and Wilcox et al, (2011) noted that patients consistently retain a rather small fraction of the verbal information after the consultation, possibly resulting in improper compliance to medical instructions. Further, it was found that personalized information increases the likelihood for a patient to be more engaged and likely to read, comprehend, and act upon such information better (Cawsey et al, 2000;Wilcox et al, 2011). The fundamental complexity in the customization of patient information is the number of different combinations of characteristics, which can easily be in the tens or hundreds of thousands (DiMarco et al, 2005).…”

Section: Introductionmentioning

confidence: 99%

“…This is important to address for application areas such as doctorpatient interactions, for which now only a small app with canned bilingual text exist 1 . The app was wellreceived for being a very small step toward meeting a well-known need of personalised health communication (Mettler and Kemper, 2003;Wilcox et al, 2011). However, due to the entirely manual efforts, the mobilezulu app with its canned text is obviously not scalable to cover all areas of medicine, like captured in standards such as SNOMED CT 2 and for which terminology in isiZulu is being developed (Engelbrecht et al, 2010) and standardised following PANSALB terminology development processes (Khumalo, 2016).…”

Section: Introductionmentioning

confidence: 99%

Proceedings of the 9th International Natural Language Generation conference

Kok

2016

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Characterizing patient-friendly "micro-explanations"of medical events

Cited by 13 publications

References 10 publications

The social side of personal engagement in healthcare

The social side of personal engagement in healthcare

Self-Efficacy Theory as a Framework For Interventions That Support Parents of NICU Infants

Proceedings of the 9th International Natural Language Generation conference

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