Time to reflect

Marcu, Gabriela; Dey, Anind K.; Kiesler, Sara; Reddy, Madhu

doi:10.1145/2818048.2820079

Cited by 19 publications

(2 citation statements)

References 38 publications

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“…One approach to actionability in the face of uncertain results is to support hypothesis testing with self-experimentation [25]. IBS management is a long-term process that often involves iterative hypothesis formation and testing, as well as changes in the habits and goals of the patients [33]. Our visualizations provide support for identifying potential relationships between nutrients the patient eats and their subsequent symptoms.…”

Section: Providing Understandable and Actionable Informationmentioning

confidence: 99%

Supporting Patient-Provider Collaboration to Identify Individual Triggers using Food and Symptom Journals

Schroeder

Hoffswell

Chung

et al. 2017

Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing

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Patient-generated data can allow patients and providers to collaboratively develop accurate diagnoses and actionable treatment plans. Unfortunately, patients and providers often lack effective support to make use of such data. We examine patient-provider collaboration to interpret patient-generated data. We focus on irritable bowel syndrome (IBS), a chronic illness in which particular foods can exacerbate symptoms. IBS management often requires patient-provider collaboration using a patient's food and symptom journal to identify the patient's triggers. We contribute interactive visualizations to support exploration of such journals, as well as an examination of patient-provider collaboration in interpreting the journals. Drawing upon individual and collaborative interviews with patients and providers, we find that collaborative review helps improve data comprehension and build mutual trust. We also find a desire to use tools like our interactive visualizations within and beyond clinic appointments. We discuss these findings and present guidance for the design of future tools.

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Section: Providing Understandable and Actionable Informationmentioning

confidence: 99%

Supporting Patient-Provider Collaboration to Identify Individual Triggers using Food and Symptom Journals

Schroeder

Hoffswell

Chung

et al. 2017

Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing

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show abstract

“…Most of scholars' considered reflection as an individual cognitive learning process for personal growth however, current studies (e.g. [3], [4], [5], [6] described the concept of collaborative reflection with reference to professional learning on the workplace. Previous studies informed that collaborative reflection practice for service-learning experience is less documented specifically, current service-learning reflection models focused on individual reflection only.…”

Section: Introductionmentioning

confidence: 99%

Co-Reflective System: Supporting Collaborative Critical Thinking and Knowledge Building

Salam¹,

Ibrahim

skandar

2019

IJIES

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Service-learning pedagogy provides practical learning experience for students by integrating community service with academic learning. However, experience is not enough, reflection on that experience is essential to produce new understanding. The concept of collaborative reflection has been recognized recently however, there is lack of research on how to structure guided collaborative reflection to view the process of knowledge building and how technologies can support it. To shed light on this issue, this study proposed a computational workflow of structured collaborative reflection which is adopted from integrated collaborative reflection model and implement a prototype (i.e. named as ‘Co-Reflective’) to proof the concept how Computer Supported Collaborative Reflection System (CSCRS) is supporting collaborative critical thinking and knowledge building. For this purpose, design science research methodology was employed in this study. The evaluation of Co-Reflective is provided where we asked our participants to evaluate their experience and give feedback about system. Based on the positive feedback of participants we conclude that Co-Reflective can effectively support for guided collaborative reflection activities to promote collaborative critical thinking and knowledge building. Implementation of Co-Reflective not only addresses the limitations of current technologies but also contribute in the body of knowledge by presenting the concept of integrated collaborative reflection model that promotes collaborative critical thinking and knowledge building. Keywords—collaborative knowledge building, collaborative reflection, Computer Supported Collaborative Reflection System (CSCRS), service learning.

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Tensions in Representing Behavioral Data in an Electronic Health Record

Marcu

Dey

Kiesler

2021

Comput Supported Coop Work

Self Cite

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Taking an action research approach, we engaged in fieldwork with school-based behavioral health care teams to: observe record keeping practices, design and deploy a prototype system addressing key challenges, and reflect on its use. We describe the challenges of capturing behavioral data using both paper and electronic records. Creating records of behaviors requires direct observation, and as a result the record keeping responsibility is challenging to distribute across a care team. Behavioral data on paper must be transferred and prepared for reporting, both inside the organization and to stakeholders outside of the organization. In prototyping a computerized working record, we targeted user needs for capturing details of a behavioral incident in the moment. Challenges persisted through the transition from paper to our prototype, and based on these empirical findings over two years of fieldwork, we present five tensions in representing behavioral data in an electronic health record. These tensions reflect the differences between entering behavioral data into the record for intraorganizational use versus interorganizational use.

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Time to reflect

Cited by 19 publications

References 38 publications

Supporting Patient-Provider Collaboration to Identify Individual Triggers using Food and Symptom Journals

Supporting Patient-Provider Collaboration to Identify Individual Triggers using Food and Symptom Journals

Co-Reflective System: Supporting Collaborative Critical Thinking and Knowledge Building

Tensions in Representing Behavioral Data in an Electronic Health Record

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