Speculative Data Work &amp; Dashboards

Hockenhull, Michael; Cohn, Marisa Leavitt

doi:10.1145/3434173

Cited by 12 publications

(2 citation statements)

References 85 publications

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“…Similar to the notion of speculative design that Malpass [ 31 ] describes, our objective was not to design any specific technology but to understand how participants would shape a future where passive PGHD is used for clinical decision-making. We were also motivated by the idea of speculative data introduced by Hockenhull and Cohn [ 32 ] to uncover how data, specifically passive PGHD, may be produced, validated, and used by participants in the future. In this section, we detail our methodology, including the study procedures and methods for analysis.…”

Section: Methodsmentioning

confidence: 99%

Understanding Mental Health Clinicians’ Perceptions and Concerns Regarding Using Passive Patient-Generated Health Data for Clinical Decision-Making: Qualitative Semistructured Interview Study

Nghiem¹,

Adler²,

Estrin³

et al. 2023

JMIR Form Res

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Background Digital health-tracking tools are changing mental health care by giving patients the ability to collect passively measured patient-generated health data (PGHD; ie, data collected from connected devices with little to no patient effort). Although there are existing clinical guidelines for how mental health clinicians should use more traditional, active forms of PGHD for clinical decision-making, there is less clarity on how passive PGHD can be used. Objective We conducted a qualitative study to understand mental health clinicians’ perceptions and concerns regarding the use of technology-enabled, passively collected PGHD for clinical decision-making. Our interviews sought to understand participants’ current experiences with and visions for using passive PGHD. Methods Mental health clinicians providing outpatient services were recruited to participate in semistructured interviews. Interview recordings were deidentified, transcribed, and qualitatively coded to identify overarching themes. Results Overall, 12 mental health clinicians (n=11, 92% psychiatrists and n=1, 8% clinical psychologist) were interviewed. We identified 4 overarching themes. First, passive PGHD are patient driven—we found that current passive PGHD use was patient driven, not clinician driven; participating clinicians only considered passive PGHD for clinical decision-making when patients brought passive data to clinical encounters. The second theme was active versus passive data as subjective versus objective data—participants viewed the contrast between active and passive PGHD as a contrast between interpretive data on patients’ mental health and objective information on behavior. Participants believed that prioritizing passive over self-reported, active PGHD would reduce opportunities for patients to reflect upon their mental health, reducing treatment engagement and raising questions about how passive data can best complement active data for clinical decision-making. Third, passive PGHD must be delivered at appropriate times for action—participants were concerned with the real-time nature of passive PGHD; they believed that it would be infeasible to use passive PGHD for real-time patient monitoring outside clinical encounters and more feasible to use passive PGHD during clinical encounters when clinicians can make treatment decisions. The fourth theme was protecting patient privacy—participating clinicians wanted to protect patient privacy within passive PGHD-sharing programs and discussed opportunities to refine data sharing consent to improve transparency surrounding passive PGHD collection and use. Conclusions Although passive PGHD has the potential to enable more contextualized measurement, this study highlights the need for building and disseminating an evidence base describing how and when passive measures should be used for clinical decision-making. This evidence base should clarify how to use passive data alongside more traditional forms of active PGHD, when clinicians should view passive PGHD to make treatment decisions, and how to protect patient privacy within passive data–sharing programs. Clear evidence would more effectively support the uptake and effective use of these novel tools for both patients and their clinicians.

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Section: Methodsmentioning

confidence: 99%

Understanding Mental Health Clinicians’ Perceptions and Concerns Regarding Using Passive Patient-Generated Health Data for Clinical Decision-Making: Qualitative Semistructured Interview Study

Nghiem¹,

Adler²,

Estrin³

et al. 2023

JMIR Form Res

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“…In exploring the work carried out by financial professionals in imaginative intersections, I draw inspiration from conceptualisations of work that combine promissory and speculative elements, such as imagining the future, with daily tasks within organisational contexts (Pollock and Williams 2010) (Hockenhull and Cohn, 2021b). These influences inform a conceptualisation of work in the thesis combining imagination and daily tasks, centred on how imaginative activities are carried out in conduction with forms of planning and working out the details of FinTech products by financial professionals.…”

Section: Imaginative Intersections -Connecting Fintech Imaginaries An...mentioning

confidence: 99%

Intersections Between Fintech Imaginaries and Traditional Banking: A Study of Disciplinary, Implementary, and Parasitic Work in the Danish Financial Sector

Kværnø-Jones¹

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This PhD project studies intersections between the financial technology sector (FinTech) and traditional banking, approached as sites in which imaginaries, such as those pointing to ‘disrupted’ futures of banking, intersect with established organisational contexts of traditional banking. The focus on intersections departs from a curious puzzle presented by the FinTech sector, in which activity in the sector is characterised by both imaginative visions of transformed financial services and connections to traditional banking. The thesis suggests the concept imaginative intersections, which hones in on intersections between imagination and established organisation. In studying imaginative intersections, the thesis is guided by the question: ‘How do FinTech imaginaries intersect with established contexts of traditional banking?’ This research question is motivated by a broader interest in how imagined possibilities are delimited within established organisational contexts. The thesis engages with discussions across science and technology studies (STS), anthropology, and cultural economy concerned with finance, technology, and imagination, thinking about the kinds of worlds instituted through actors grappling with financial technological developments. A burgeoning research agenda on imagination in organisation studies is then fleshed out, drawing together different works that point to a growing interest in the significance of imagination in organisational activities. Within the emerging research agenda on imagination in organisational research, the thesis hones in on a particular tension between imagination and established organisational contexts, arguing that we should be attentive to the organisational work involved in making certain imagined futures performative.

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Usability of Dashboards in the Measurement Process - An Experience of Use in a Brazilian Software Development Company

Albuquerque

Leite

Morais

et al. 2022

Software Engineering Perspectives in Systems

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Speculative Data Work & Dashboards

Cited by 12 publications

References 85 publications

Understanding Mental Health Clinicians’ Perceptions and Concerns Regarding Using Passive Patient-Generated Health Data for Clinical Decision-Making: Qualitative Semistructured Interview Study

Understanding Mental Health Clinicians’ Perceptions and Concerns Regarding Using Passive Patient-Generated Health Data for Clinical Decision-Making: Qualitative Semistructured Interview Study

Intersections Between Fintech Imaginaries and Traditional Banking: A Study of Disciplinary, Implementary, and Parasitic Work in the Danish Financial Sector

Usability of Dashboards in the Measurement Process - An Experience of Use in a Brazilian Software Development Company

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