Am I Coughing More Than Usual?

Nadarajah, Stephanie Githa; Pedersen, Peder Walz; Hougaard, Bastian Ilsø; Knoche, Hendrik

doi:10.1145/3347444.3356237

Cited by 6 publications

(3 citation statements)

References 29 publications

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“…Despite the benefits of viewing patient-generated data, self-assessed data may be too variable for decision-making. Previous work has shown that it is challenging for patients with COPD to answer subjective questions about breathlessness and coughing [79]. To address this, patients may underreport symptoms unless there are large deviations from their baseline [79].…”

Section: Subjective Data Recorded By Patients Is Challenging For Deci...mentioning

confidence: 99%

“…Previous work has shown that it is challenging for patients with COPD to answer subjective questions about breathlessness and coughing [79]. To address this, patients may underreport symptoms unless there are large deviations from their baseline [79]. Unreliable reporting of symptoms impacts how data are interpreted by HCPs, which means that patients may not receive the care they require.…”

Section: Subjective Data Recorded By Patients Is Challenging For Deci...mentioning

confidence: 99%

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Exploring Human-Data Interaction in Clinical Decision-making Using Scenarios: Co-design Study (Preprint)

Tendedez¹,

Ferrario²,

McNaney³

et al. 2021

Preprint

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BACKGROUND When caring for patients with chronic conditions like Chronic Obstructive Pulmonary Disease (COPD), healthcare professionals (HCPs) rely on multiple data sources to make decisions. Collating and visualizing this data, for example on clinical dashboards, holds potential to support timely and informed decision-making. Most studies about data supported decision-making (DSDM) technologies for healthcare have focused on their technical feasibility or quantitative effectiveness. While these studies are an important contribution to the literature, they do not further our limited understanding of how HCPs engage with these technologies and how they can be designed to support specific contexts of use. To progress our knowledge of this area, we must work with HCPs to explore this space and the real-world complexities of healthcare work and service structures. OBJECTIVE This research aimed to qualitatively explore how DSDM technologies could support HCPs in their decision-making about COPD care. We created a scenario-based research tool, called Respire, that visualized HCPs’ data needs about their COPD patients and services. We used Respire with HCPs to uncover rich and nuanced findings about human-data interaction in this context, focusing on the real-world challenges that HCPs face when carrying out their work and making decisions. METHODS We engaged nine respiratory HCPs from two collaborating healthcare organizations to design Respire. We then used Respire as a tool to investigate human-data interaction in the context of decision-making about COPD care. The study followed a co-design approach that had three stages and spanned two years. The first stage involved five workshops with the HCPs to identify data-interaction scenarios which would support their work. The second stage involved creating Respire, an interactive scenario-based web application that visualized HCPs’ data needs, incorporating feedback from the HCPs. The final stage involved 11 one-to-one sessions with HCPs to use Respire, focusing on how they envisaged it could support their work and decisions about care. RESULTS We found that: (1) HCPs trust data differently depending on where it came from and who recorded it; (2) sporadic and subjective data generated by patients has value but creates challenges for decision-making; and (3) HCPs require support interpreting and responding to new data and its use cases. CONCLUSIONS Our study uncovers important lessons for the design of DSDM technologies to support healthcare contexts. We show that while DSDM technologies have potential to support patient care and healthcare delivery, important sociotechnical and human data interaction challenges influence how these technologies should be designed and deployed. Exploring these considerations during the design process can ensure DSDM technologies are designed with a holistic view of how decision-making and engagement with data occurs in healthcare contexts.

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Section: Subjective Data Recorded By Patients Is Challenging For Deci...mentioning

confidence: 99%

Section: Subjective Data Recorded By Patients Is Challenging For Deci...mentioning

confidence: 99%

Exploring Human-Data Interaction in Clinical Decision-making Using Scenarios: Co-design Study (Preprint)

Tendedez¹,

Ferrario²,

McNaney³

et al. 2021

Preprint

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show abstract

“…However, these systems should not relegate patients to passively monitoring data, e.g. without access to the data [15,29], but should encourage mutual understanding between HCPs and patients on the extent and potential use of tracked data [32].…”

Section: Introductionmentioning

confidence: 99%

Identifying Challenges and Opportunities for Intelligent Data-Driven Health Interfaces to Support Ongoing Care

Knoche

Abdul‐Rahman

Clark

et al. 2023

Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems

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This workshop will explore future work in the area of intelligent, conversational, data-driven health interfaces both from patients' and health care professionals' perspectives. We aim to bring together a diverse set of experts and stakeholders to jointly discuss the opportunities and challenges at the intersection of public health care provisioning, patient and caretaker empowerment, monitoring provisioning of health care and its quality. This will require AI-supported, conversational decision-making interfaces that adhere to ethical and privacy standards and address issues around agency, control, engagement, motivation, and accessibility. The goal of the workshop is to create a community around intelligent data-driven interfaces and create a road map for their future research.CCS Concepts: • Human-centered computing → Human computer interaction (HCI).

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“I Have to Do Something About It” - An Exploration of How Dashboards Invoke Self-Reflections in Chronic Obstructive Pulmonary Disease Patients

Nadarajah¹,

Pedersen²,

Itenge³

et al. 2023

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Am I Coughing More Than Usual?

Cited by 6 publications

References 29 publications

Exploring Human-Data Interaction in Clinical Decision-making Using Scenarios: Co-design Study (Preprint)

Exploring Human-Data Interaction in Clinical Decision-making Using Scenarios: Co-design Study (Preprint)

Identifying Challenges and Opportunities for Intelligent Data-Driven Health Interfaces to Support Ongoing Care

“I Have to Do Something About It” - An Exploration of How Dashboards Invoke Self-Reflections in Chronic Obstructive Pulmonary Disease Patients

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