ReviewMayo Clinic proceedings. Digital health2023
Continuous Improvement of Digital Health Applications Linked to Real-World Performance Monitoring: Safe Moving Targets?
Review in Mayo Clinic proceedings. Digital health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed.
- EU's fragmented early-stage medical device study requirements need reform.Nature biomedical engineering · 2026Article
- An Evaluation of Clinician and Informatician Perspectives on Medication Harm Risk Prediction Tools for Use in a Tertiary Hospital Setting.Journal of evaluation in clinical practice · 2026Article
- Appropriateness and utility of a clinical decision support system at the digital front door.NPJ digital medicine · 2026Article
- National implementation of a digital Parkinson's disease screening programme in Thailand: reach, adoption, and real-world performance of the CheckPD app.BMC public health · 2026Article
- A scoping review on using real-world data to evaluate the effectiveness of mHealth applications.NPJ digital medicine · 2026Article
- Regulating complexity in AI-enabled omics and multi-omics technologies for precision medicine.NPJ digital medicine · 2026Article
- App-assisted rehabilitation concept for geriatric patients after proximal femur fractures (PROGRES(S)): a qualitative study.BMC geriatrics · 2026Article
- A six-level clinical autonomy framework for artificial intelligence in dentistry.Frontiers in oral health · 2026Article
- Designing a Visual Analytics Tool to Support Data Analysis Tasks of Digital Mental Health Interventions: Case Study.JMIR human factors · 2025Article
- Voices that matter: The impact of patient-reported outcome measures on clinical decision-making.World journal of methodology · 2025Review
- A roadmap for safe, regulation-compliant Living Labs for AI and digital health development.Science advances · 2025Review
- Consternation as Congress proposal for autonomous prescribing AI coincides with the haphazard cuts at the FDA.NPJ digital medicine · 2025Article
- Letter to the Editor on "From Concept to Clinic: Living Labs and Regulatory Sandboxes for Health System Digitalization and the Integration of Innovative Devices Into Clinical Workflows".IEEE journal of translational engineering in health and medicine · 2025Article
- A transparent and standardized performance measurement platform is needed for on-prescription digital health apps to enable ongoing performance monitoring.PLOS digital health · 2024Review
- New regulatory thinking is needed for AI-based personalised drug and cell therapies in precision oncology.NPJ precision oncology · 2024Review
- Holistic Human-Serving Digitization of Health Care Needs Integrated Automated System-Level Assessment Tools.Journal of medical Internet research · 2023Article
- Digital Health Applications: Toward a Lifecycle and Pay-for-Performance Approach.Mayo Clinic proceedings. Digital health · 2023Article
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
Real-time high-quality data on the performance of digital health applications is needed for feedback-led optimization and to ensure safety and performance, particularly if they will have on-market updates. Developers must verify that applications accurately and consistently fulfill their intended purpose in real-world use. In particular, new thinking from regulators recognizes the importance of monitoring real-world performance. It is acknowledged that real-world data can deliver information from wider patient populations than are generally included in controlled studies, and in certain circumstances, this can enable extensions of the application's intended purpose. Proactive postmarket surveillance surveys are an important source of real-world data that are distinct from clinical investigations but may vary in quality and, if inappropriately designed, can be subject to uncontrolled bias. We aimed to describe the practice of real-world data gathering through patient-reported and clinician-reported outcomes and high-quality surveys and identify challenges, uncertainties, and health policy gaps.
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.