Between a logic of disruption and a logic of continuation: Negotiating the legitimacy of algorithms used in automated clinical decision-making

Author(s):  
Rikke Torenholt ◽  
Henriette Langstrup

In both popular and academic discussions of the use of algorithms in clinical practice, narratives often draw on the decisive potentialities of algorithms and come with the belief that algorithms will substantially transform healthcare. We suggest that this approach is associated with a logic of disruption. However, we argue that in clinical practice alongside this logic, another and less recognised logic exists, namely that of continuation: here the use of algorithms constitutes part of an established practice. Applying these logics as our analytical framing, we set out to explore how algorithms for clinical decision-making are enacted by political stakeholders, healthcare professionals, and patients, and in doing so, study how the legitimacy of delegating to an algorithm is negotiated and obtained. Empirically we draw on ethnographic fieldwork carried out in relation to attempts in Denmark to develop and implement Patient Reported Outcomes (PRO) tools – involving algorithmic sorting – in clinical practice. We follow the work within two disease areas: heart rehabilitation and breast cancer follow-up care. We show how at the political level, algorithms constitute tools for disrupting inefficient work and unsystematic patient involvement, whereas closer to the clinical practice, algorithms constitute a continuation of standardised and evidence-based diagnostic procedures and a continuation of the physicians’ expertise and authority. We argue that the co-existence of the two logics have implications as both provide a push towards the use of algorithms and how a logic of continuation may divert attention away from new issues introduced with automated digital decision-support systems.

2018 ◽  
Vol 38 (6) ◽  
pp. 935-947 ◽  
Author(s):  
Bruno Fautrel ◽  
Rieke Alten ◽  
Bruce Kirkham ◽  
Inmaculada de la Torre ◽  
Frederick Durand ◽  
...  

2018 ◽  
Vol 89 (6) ◽  
pp. A41.1-A41
Author(s):  
Heidi N Beadnall ◽  
Linda Ly ◽  
Chenyu Wang ◽  
Thibo Billiet ◽  
Annemie Ribbens ◽  
...  

IntroductionQuantitative magnetic resonance imaging (MRI) analysis is currently used in multiple sclerosis (MS) clinical trials. Quantitative MRI (QMRI) data derived using formal analysis techniques is not used in routine MS clinical practice and its effect on clinical decision-making is unknown. The study objective is to explore the influence that QMRI data has on clinical decision-making in real-world MS patients.MethodsClinical MS brain MRI scans (separated by one-year minimum, acquired on the same scanner from the same patient) were evaluated. All patients were on the same disease-modifying therapy (DMT) six months prior to and during the study. QMRI analyses were performed on scan pairs by; imaging analysts using specialised software [semi-automated], and MSmetrix [fully-automated]. Data was presented in two separate reports; local QMRI (semi-automated) and centralised QMRI (MSmetrix). Questionnaires were completed by the same neurologist for each subject using clinical data and standard MRI and QMRI reports.Results31 relapsing-MS patients (77.4% female), with baseline age 42.14 [10.70] years, disease duration 7.68 [4.89] years and EDSS score 1.40 (1.36), were evaluated. Injectable, oral and infusion DMTs were administered in 29.0%, 61.3% and 9.7% of patients respectively. According to questionnaire responses, 83.9% were predicted to have stable disease over the next year based on clinical reports alone and 67.7% with the addition of QMRI report data. DMT change would be considered in 16.1% based on clinical reports and 32.3% with QMRI report inclusion. Earlier clinical ±MRI follow up was considered in 51.6% (MRI only 41.9%;both 9.7%) when QMRI reports were reviewed.ConclusionThis preliminary retrospective study indicates that QMRI report data has the potential to influence clinical decision-making in relapsing-MS patients on DMT regarding disease stability assessment, therapy change contemplation, and consideration of earlier follow-up. This work supports a role for formal QMRI analysis and reporting as a clinical-decision support system in MS.


2004 ◽  
Vol 22 (21) ◽  
pp. 4401-4409 ◽  
Author(s):  
Phyllis Butow ◽  
Rhonda Devine ◽  
Michael Boyer ◽  
Susan Pendlebury ◽  
Michael Jackson ◽  
...  

Purpose This study evaluated a cancer consultation preparation package (CCPP) designed to facilitate patient involvement in the oncology consultation. Patients and Methods A total of 164 cancer patients (67% response rate) were randomly assigned to receive the CCPP or a control booklet at least 48 hours before their first oncology appointment. The CCPP included a question prompt sheet, booklets on clinical decision making and patient rights, and an introduction to the clinic. The control booklet contained only the introduction to the clinic. Physicians were blinded to which intervention patients received. Patients completed questionnaires immediately after the consultation and 1 month later. Consultations were audiotaped, transcribed verbatim, and coded. Results All but one patient read the information. Before the consultation, intervention patients were significantly more anxious than were controls (mean, 42 v 38; P = .04); however anxiety was equivalent at follow-up. The CCPP was reported as being significantly more useful to family members than the control booklet (P = .004). Patients receiving the intervention asked significantly more questions (11 v seven questions; P = .005), tended to interrupt the physician more (1.01 v 0.71 interruptions; P = .08), and challenged information significantly more often (twice v once; P = .05). Patients receiving the CCPP were less likely to achieve their preferred decision making style (22%) than were controls (35%; P = .06). Conclusion This CCPP influences patients' consultation behavior and does not increase anxiety in the long-term. However, this intervention, without physician endorsement, reduced the percentage of patients whose preferred involvement in decision making was achieved.


Cancer ◽  
2018 ◽  
Vol 125 (6) ◽  
pp. 863-872 ◽  
Author(s):  
Jennifer R. Cracchiolo ◽  
Anne F. Klassen ◽  
Danny A. Young‐Afat ◽  
Claudia R. Albornoz ◽  
Stefan J. Cano ◽  
...  

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