ReviewInternational journal of bipolar disorders2016
Big data for bipolar disorder.
Review in International journal of bipolar disorders, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Initial and relapse prodromes in adult patients with episodes of bipolar disorder: A systematic review.European psychiatry : the journal of the Association of European Psychiatrists · 2020Pooled it
- Smartphone-Based Monitoring of Objective and Subjective Data in Affective Disorders: Where Are We and Where Are We Going? Systematic Review.Journal of medical Internet research · 2017Pooled it
- Expectations for Artificial Intelligence (AI) in Psychiatry.Current psychiatry reports · 2022Review
- Natural Language Processing Methods and Bipolar Disorder: Scoping Review.JMIR mental health · 2022Article
- Bipolar Disorder Related Hospitalizations - a Descriptive Nationwide Study Using a Big Data Approach.The Psychiatric quarterly · 2022Observational
- Digital health developments and drawbacks: a review and analysis of top-returned apps for bipolar disorder.International journal of bipolar disorders · 2020Article
- Survey of psychiatrist use of digital technology in clinical practice.International journal of bipolar disorders · 2020Article
- Vibration of effects in epidemiologic studies of alcohol consumption and breast cancer risk.International journal of epidemiology · 2020Article
- Smartphones in mental health: a critical review of background issues, current status and future concerns.International journal of bipolar disorders · 2020Review
- Using Mobile Phone Sensor Technology for Mental Health Research: Integrated Analysis to Identify Hidden Challenges and Potential Solutions.Journal of medical Internet research · 2018Article
- Behavioural biomarkers and mobile mental health: a new paradigm.International journal of bipolar disorders · 2018Article
- Smartphone-based objective monitoring in bipolar disorder: status and considerations.International journal of bipolar disorders · 2018Review
- Article
- The Emerging Neurobiology of Bipolar Disorder.Trends in neurosciences · 2018Review
- Based Real Time Remote Health Monitoring Systems: A Review on Patients Prioritization and Related "Big Data" Using Body Sensors information and Communication Technology.Journal of medical systems · 2017Article
- Ethical perspectives on recommending digital technology for patients with mental illness.International journal of bipolar disorders · 2017Review
- Data Collection for Mental Health Studies Through Digital Platforms: Requirements and Design of a Prototype.JMIR research protocols · 2017Article
- Automated Decision-Making and Big Data: Concerns for People With Mental Illness.Current psychiatry reports · 2016Review
- Bipolar disorder in the digital age: new tools for the same illness.International journal of bipolar disorders · 2016Article
- Making sense of big data in health research: Towards an EU action plan.Genome medicine · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The delivery of psychiatric care is changing with a new emphasis on integrated care, preventative measures, population health, and the biological basis of disease. Fundamental to this transformation are big data and advances in the ability to analyze these data. The impact of big data on the routine treatment of bipolar disorder today and in the near future is discussed, with examples that relate to health policy, the discovery of new associations, and the study of rare events. The primary sources of big data today are electronic medical records (EMR), claims, and registry data from providers and payers. In the near future, data created by patients from active monitoring, passive monitoring of Internet and smartphone activities, and from sensors may be integrated with the EMR. Diverse data sources from outside of medicine, such as government financial data, will be linked for research. Over the long term, genetic and imaging data will be integrated with the EMR, and there will be more emphasis on predictive models. Many technical challenges remain when analyzing big data that relates to size, heterogeneity, complexity, and unstructured text data in the EMR. Human judgement and subject matter expertise are critical parts of big data analysis, and the active participation of psychiatrists is needed throughout the analytical process.
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.