ReviewCommunications medicine2022
Recommendations for achieving interoperable and shareable medical data in the USA.
Review in Communications medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 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
21 citing papers in PubMed.
- Development and validation of a minimum data set for total joint arthroplasty registries.BMC musculoskeletal disorders · 2026Article
- Reporting and data systems for laparoscopic cholecystectomy with findings of a user adoption survey.Scientific reports · 2026Article
- Artificial Intelligence Across the Radiology Workflow: A Nine-Stage Narrative Review.Diagnostics (Basel, Switzerland) · 2026Review
- Digital epidemiology: Utilizing big data for public health surveillance and disease outbreak prediction.Journal of public health research · 2026Review
- Accelerating novel therapies for sickle cell disease with RWE: ASH RC Data Hub as a strategically coordinated registry network.Blood advances · 2026Article
- Medical Digital Twin Technology for Interoperability: Challenges and Opportunities.Biomedical engineering and computational biology · 2026Review
- Enhancing antimicrobial resistance (AMR) surveillance data use in Uganda.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2026Article
- Building Real-World Evidence Infrastructure to Improve Health and Healthcare in the United States: Part I-Coordinated Registry Networks and Systemic Coordinated Inter-Organizational Networks.International journal of translational medical research and public health · 2025Article
- A guide to developing harmonized research workflows in a team science context.Experimental neurology · 2025Review
- Integrating big data and artificial intelligence to predict progression in multiple sclerosis: challenges and the path forward.Journal of neuroengineering and rehabilitation · 2025Review
- Success and Challenges Querying OMOP-transformed EHR Data from Different Healthcare Organizations.ACI open · 2025Article
- Data linkage multiplies research insights across diverse healthcare sectors.Communications medicine · 2025Review
- Review
- Convergence of evolving artificial intelligence and machine learning techniques in precision oncology.NPJ digital medicine · 2025Article
- Design, implementation and evaluation of value-based payment models: a Delphi study.BMC health services research · 2025Article
- 'A tough nut to crack': inconsistent standards as roadblocks to data interoperability of health information systems in public hospitals in the Gauteng Province of South Africa.Oxford open digital health · 2025Article
- Navigating Challenges and Opportunities in Multi-Omics Integration for Personalized Healthcare.Biomedicines · 2024Review
- Consequences of the hospital nursing research culture: Perspective of staff nurses.International journal of nursing sciences · 2024Article
- The digital transformation of nursing practice: an analysis of advanced IoT technologies and smart nursing systems.Frontiers in medicine · 2024Review
- Improving Patient Outcomes Through Effective Hospital Administration: A Comprehensive Review.Cureus · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Easy access to large quantities of accurate health data is required to understand medical and scientific information in real-time; evaluate public health measures before, during, and after times of crisis; and prevent medical errors. Introducing a system in the USA that allows for efficient access to such health data and ensures auditability of data facts, while avoiding data silos, will require fundamental changes in current practices. Here, we recommend the implementation of standardized data collection and transmission systems, universal identifiers for individual patients and end users, a reference standard infrastructure to support calibration and integration of laboratory results from equivalent tests, and modernized working practices. Requiring comprehensive and binding standards, rather than incentivizing voluntary and often piecemeal efforts for data exchange, will allow us to achieve the analytical information environment that patients need.
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.