ArticleJournal of medical Internet research2019
Data Work: Meaning-Making in the Era of Data-Rich Medicine.
Article in Journal of medical Internet research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed.
- Demystifying Computational Biology: A Scalable Drug Discovery Framework for Medical Curricula.Cureus · 2026Article
- Ethical considerations for multimodal artificial intelligence in healthcare.AI and ethics · 2026Article
- Patient perceptions of three-dimensional (3D) surface imaging technology and traditional methods used to assess anthropometry.Obesity pillars · 2024Article
- Decoding Heterogeneity in Data-Driven Self-Monitoring Adherence Trajectories in Digital Lifestyle Interventions for Weight Loss: A Qualitative Study.Research square · 2024Article
- Personal data store ecosystems in health and social care.Frontiers in public health · 2024Article
- Digital Phenotyping: Data-Driven Psychiatry to Redefine Mental Health.Journal of medical Internet research · 2023Article
- Data as symptom: Doctors' responses to patient-provided data in general practice.Social studies of science · 2023Article
- The practical ethics of repurposing health data: how to acknowledge invisible data work and the need for prioritization.Medicine, health care, and philosophy · 2023Article
- Ethical Issues in Social Media Recruitment for Clinical Studies: Ethical Analysis and Framework.Journal of medical Internet research · 2022Review
- Value-creation in the health data domain: a typology of what health data help us do.BioSocieties · 2022Article
- [Big Data in health promotion and prevention].Pravention und Gesundheitsforderung · 2022Article
- The Sociological Perspective of Users' Invisible Work: A Qualitative Research Framework for Studying Digital Health Innovations Integration.Journal of medical Internet research · 2021Review
- Ensuring patient and public involvement in the transition to AI-assisted mental health care: A systematic scoping review and agenda for design justice.Health expectations : an international journal of public participation in health care and health policy · 2021Article
- Review of Clinical Research Informatics.Yearbook of medical informatics · 2020Review
- Experiences With Wearable Activity Data During Self-Care by Chronic Heart Patients: Qualitative Study.Journal of medical Internet research · 2020Article
- Effect of Age on the Initiation of Biologic Agent Therapy in Patients With Inflammatory Bowel Disease: Korean Common Data Model Cohort Study.JMIR medical informatics · 2020Article
- Imprecise Data and Their Impact on Translational Research in Medicine.Frontiers in medicine · 2020Article
- Digital Twins in Translational Research and Health Care: An Anthropological Perspective.Ethics & human researchArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the era of data-rich medicine, an increasing number of domains of people's lives are datafied and rendered usable for health care purposes. Yet, deriving insights for clinical practice and individual life choices and deciding what data or information should be used for this purpose pose difficult challenges that require tremendous time, resources, and skill. Thus, big data not only promises new clinical insights but also generates new-and heretofore largely unarticulated-forms of work for patients, families, and health care providers alike. Building on science studies, medical informatics, Anselm Strauss and colleagues' concept of patient work, and subsequent elaborations of articulation work, in this article, we analyze the forms of work engendered by the need to make data and information actionable for the treatment decisions and lives of individual patients. We outline three areas of data work, which we characterize as the work of supporting digital data practices, the work of interpretation and contextualization, and the work of inclusion and interaction. This is a first step toward naming and making visible these forms of work in order that they can be adequately seen, rewarded, and assessed in the future. We argue that making data work visible is also necessary to ensure that the insights of big and diverse datasets can be applied in meaningful and equitable ways for better health care.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.