ArticleHealth affairs (Project Hope)2014
Genomic sequencing: assessing the health care system, policy, and big-data implications.
Article in Health affairs (Project Hope), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis 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
32 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Financing and Reimbursement Models for Personalised Medicine: A Systematic Review to Identify Current Models and Future Options.Applied health economics and health policy · 2022Pooled it
- Quantifying Downstream Healthcare Utilization in Studies of Genomic Testing.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2020Trial
- Efficacy of very low calorie diet in the intervention of obesity and the changes in oral microbiota: a prospective cohort study.Journal of translational medicine · 2026Observational
- Phenotype- and phase-directed immune interpretation in recurrent implantation failure and pregnancy loss: an integrative framework.Frontiers in reproductive health · 2026Review
- Gut Microbiota and Postbiotic Metabolites: Biotic Intervention for Enhancing Vaccine Responses and Personalized Medicine for Disease Prevention.Probiotics and antimicrobial proteins · 2026Review
- Implementation of Cancer Genomics in the United States: Views of Payers and Other Stakeholders on Challenges and the Role of Payers in Solutions.JCO precision oncology · 2025Article
- Integrating molecular diagnostics for early prostate cancer detection.Oncoscience · 2025Article
- Non-fungible token integration in neurosurgery: a technical review.Neurosurgical review · 2023Review
- Perspectives of private payers on multicancer early-detection tests: informing research, implementation, and policy.Health affairs scholar · 2023Article
- A Genomic Information Management System for Maintaining Healthy Genomic States and Application of Genomic Big Data in Clinical Research.International journal of molecular sciences · 2022Review
- How can we discover the most valuable types of big data and artificial intelligence-based solutions? A methodology for the efficient development of the underlying analytics that improve care.BMC medical informatics and decision making · 2021Article
- Outcomes of prior authorization requests for genetic testing in outpatient pediatric genetics clinics.Genetics in medicine : official journal of the American College of Medical Genetics · 2021Article
- Governing Personalized Health: A Scoping Review.Frontiers in genetics · 2021Article
- Precision Population Medicine in Primary Care: The Sanford Chip Experience.Frontiers in genetics · 2021Article
- Economic evaluations of big data analytics for clinical decision-making: a scoping review.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- Insights From a Temporal Assessment of Increases in US Private Payer Coverage of Tumor Sequencing From 2015 to 2019.Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research · 2020Article
- Payer Preferences and Willingness to Pay for Genomic Precision Medicine: A Discrete Choice Experiment.Journal of managed care & specialty pharmacy · 2020Article
- Artificial Intelligence for Personalized Medicine in Thyroid Cancer: Current Status and Future Perspectives.Frontiers in oncology · 2020Review
- Bridging the Gaps in Personalized Medicine Value Assessment: A Review of the Need for Outcome Metrics across Stakeholders and Scientific Disciplines.Public health genomics · 2019Review
- A Data Adaptive Biological Sequence Representation for Supervised Learning.Journal of healthcare informatics research · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
New genomic sequencing technologies enable the high-speed analysis of multiple genes simultaneously, including all of those in a person's genome. Sequencing is a prominent example of a "big data" technology because of the massive amount of information it produces and its complexity, diversity, and timeliness. Our objective in this article is to provide a policy primer on sequencing and illustrate how it can affect health care system and policy issues. Toward this end, we developed an easily applied classification of sequencing based on inputs, methods, and outputs. We used it to examine the implications of sequencing for three health care system and policy issues: making care more patient-centered, developing coverage and reimbursement policies, and assessing economic value. We conclude that sequencing has great promise but that policy challenges include how to optimize patient engagement as well as privacy, develop coverage policies that distinguish research from clinical uses and account for bioinformatics costs, and determine the economic value of sequencing through complex economic models that take into account multiple findings and downstream costs.
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.