ArticleAcademic medicine : journal of the Association of American Medical Colleges2019
Health Information Counselors: A New Profession for the Age of Big Data.
Article in Academic medicine : journal of the Association of American Medical Colleges, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.
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
17 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Ethical Use of Electronic Health Record Data and Artificial Intelligence: Recommendations of the Primary Care Informatics Working Group of the International Medical Informatics Association.Yearbook of medical informatics · 2020Guideline
- Citizens' Attitudes, Knowledge, and Educational Needs in the Field of Omics Sciences: A Systematic Literature Review.Frontiers in genetics · 2020Pooled it
- Polygenic risk scores: Navigating the future of precision medicine through economic, ethical, and scientific advancements.iScience · 2026Review
- Gastroenterology Fellowship and Postdoctoral Training in Omics and Statistics-Part I: Why Is It Needed?Digestive diseases and sciences · 2024Article
- Knowledge, Attitudes, and Practices Among Elderly CHD Patients Towards Self-Perceived Health Abilities.Journal of multidisciplinary healthcare · 2024Article
- Data as symptom: Doctors' responses to patient-provided data in general practice.Social studies of science · 2023Article
- Ethical layering in AI-driven polygenic risk scores-New complexities, new challenges.Frontiers in genetics · 2023Article
- Benefits and Risks of Sharing Genomic Data for Research: Comparing the Views of Rare Disease Patients, Informal Carers and Healthcare Professionals.International journal of environmental research and public health · 2022Article
- Value-creation in the health data domain: a typology of what health data help us do.BioSocieties · 2022Article
- Megatrends in Healthcare: Review for the Swiss National Science Foundation's National Research Programme 74 (NRP74) "Smarter Health Care".Public health reviews · 2022Review
- Public Views About Involvement in Decision-Making on Health Data Sharing, Access, Use and Reuse: The Importance of Trust in Science and Other Institutions.Frontiers in public health · 2022Article
- Knowing, relationships and trust-citizens' perceptions of whole genome sequencing for the Genetics Clinic of the Future.Journal of community genetics · 2021Article
- Caring for data: Value creation in a data-intensive research laboratory.Social studies of science · 2020Article
- Quadruple Decision Making for Parkinson's Disease Patients: Combining Expert Opinion, Patient Preferences, Scientific Evidence, and Big Data Approaches to Reach Precision Medicine.Journal of Parkinson's disease · 2020Article
- The Times they Are a-Changin' - Healthcare 4.0 Is Coming!Journal of medical systems · 2019Article
- Data Work: Meaning-Making in the Era of Data-Rich Medicine.Journal of medical Internet research · 2019Article
- Your Robot Therapist Will See You Now: Ethical Implications of Embodied Artificial Intelligence in Psychiatry, Psychology, and Psychotherapy.Journal of medical Internet research · 2019Review
Corrections and comments
- Commented on by
- Commented on by
- Commented on by
- Commented on by
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Health care is increasingly data driven. Concurrently, there are concerns that health professionals lack the time and training to guide patients through the growing medical "data jungle." In the age of big data, ever wider domains of people's lives are "datafied," which renders ever more information-at least in principle-usable for health care purposes. Turning data into meaningful information for clinical practice-and deciding what data or information should not be used for this purpose-requires a significant amount of time, resources, and skill. The authors argue that academic medicine should lead the way in navigating the use of complex, highly personal data in clinical practice. To make data actionable for both clinicians and patients, the authors propose that the best way to navigate the interface between patients and providers in the era of data-rich medicine would be the creation of a new profession entirely: health information counselors (HICs). HICs would have broad knowledge of various kinds of health data and data quality evaluation techniques, as well as analytic skills in statistics and data interpretation. Trained also in interpersonal communication, health management, insurance systems, and medico-legal aspects of data privacy, HICs would know enough about clinical medicine to advise on the relevance of any kind of data for prevention, diagnosis, and treatment. The creation of this new specialty would help patients and health care professionals to make more informed choices about how increasing amounts of health data and information can or should inform 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.