ArticleAmerican journal of physical medicine & rehabilitation2023
A Learning Health System Infrastructure for Precision Rehabilitation After Stroke.
Article in American journal of physical medicine & rehabilitation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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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.
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Who cites it
11 citing papers in PubMed.
- Bridging Perspectives: Guiding the Selection of Patient-Centered Outcomes in Rehabilitation Learning Health Systems.Archives of physical medicine and rehabilitation · 2026Article
- A scoping review of outcome and outcome measure sets for adults with spinal cord injury, stroke, and traumatic brain injury.Journal of rehabilitation medicine · 2026Article
- Eye-Tracking Technologies for Cognitive Assessment After Acquired Brain Injury: Systematic Review.JMIR rehabilitation and assistive technologies · 2026Review
- Advancing the Implementation of Patient-Centered Outcomes in Rehabilitation Learning Health Systems: Insights From the 2024 LeaRRn Summit.Archives of physical medicine and rehabilitation · 2026Article
- Human-AI Cooperation in Healthcare and Rehabilitation.Delaware journal of public health · 2026Article
- Towards AI-based precision rehabilitation via contextual model-based reinforcement learning.Journal of neuroengineering and rehabilitation · 2025Article
- Collaborative AI for precision neurorehabilitation: a roadmap.Journal of neuroengineering and rehabilitation · 2025Review
- Relevance of learning health systems to physiatrists and its synergy with implementation science: A commentary.PM & R : the journal of injury, function, and rehabilitation · 2025Article
- The Case for Aggregated Rehabilitation-Relevant Data Across Health Care Systems and Settings.Physical therapy · 2025Article
- Future Directions in Prosthetic Component Research and Clinical Prescription: A Precision Rehabilitation and Patient-Centered Care Approach.Archives of physical medicine and rehabilitation · 2024Article
- Leveraging Emerging Technologies to Expand Accessibility and Improve Precision in Rehabilitation and Exercise for People with Disabilities.International journal of environmental research and public health · 2024Review
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
abstractFunctional recovery and the response to rehabilitation interventions after stroke are highly variable. Understanding this variability will promote precision rehabilitation for stroke, allowing us to deliver targeted interventions to the right person at the right time. Capitalizing on large, heterogeneous data sets, such as those generated through clinical care and housed within the electronic health record, can lead to understanding of poststroke variability. However, accessing data from the electronic health record can be challenging because of data quality, privacy concerns, and the resources required for data extraction. Therefore, creating infrastructure that overcomes these challenges and contributes to a learning health system is needed to achieve precision rehabilitation after stroke. We describe the creation of a Precision Rehabilitation Data Repository that facilitates access to systematically collected data from the electronic health record as part of a learning health system to drive precision rehabilitation. Specifically, we describe the process of (1) standardizing the documentation of functional assessments, (2) obtaining regulatory approval, (3) defining the patient cohort, and (4) extracting data for the Precision Rehabilitation Data Repository. The development of similar infrastructures at other institutions can help generate large, heterogeneous data sets to drive poststroke care toward precision rehabilitation, thereby maximizing poststroke function within an efficient healthcare system.
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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.