Data Incompleteness
Research gap analysis derived from 2 medicine papers in our local library.
The gap
Most studies rely on medical records for data collection, which may be incomplete or lack granularity, particularly in capturing specific clinical parameters and readmissions across different healthcare institutions.
Consensus across the literature
The papers collectively establish that current data sources are insufficient but leave open the need for more comprehensive and standardized data collection methods.
Research trend
Emerging — attention growing, methods still coalescing.
Supporting evidence — 2 representative gaps
- The effect of clinical pharmacist-led services with one-year follow-up in patients with type 2 diabetes mellitus: a randomized controlled trial (2026) · doi
DRPs were recorded through voluntary reporting, medical records, and direct observation, which may result in incomplete capture of all drug-related problems.
Keywords: drps recorded voluntary reporting medical records direct observation result incomplete capture drug related problems - Identification of a solitary splenic mass during surgery for gastric dilatation-volvulus is associated with diagnosis of splenic neoplasia in dogs (2026) · doi
Some medical records were incomplete or inaccessible for further examination, which may have factored into the results.
Keywords: medical records incomplete inaccessible further examination factored
Explore this gap further
Search “Data Incompleteness” across open scholarly engines for the latest related literature.
Working on this gap? Publish with us.
Science AI Journal reviews manuscripts in under 15 minutes with 8 specialised AI reviewers calibrated on 23,000+ real peer reviews. Open access, CC BY 4.0.
Free tools for your next paper
Related gaps in Medicine
- Liability and legal frameworks for organizations using AI in clinical decision-making processes require development and clarification.Liability and legal frameworks for organizations using AI in clinical decision-making processes require development and clarification.
- Recent literature from 2025 to 2026 has firmly established AI as a core driver in the methodological evolution of precision oncology for HCC. By implementing VFMs to mitigate imaging domain shifts andRecent literature from 2025 to 2026 has firmly established AI as a core driver in the methodological evolution of precision oncology for HCC.…
- PURPOSE: The aim of this review was to critically appraise the literature on the use of antibiotics to treat peri-implantitis, with the ultimate goal of supporting evidence-based clinical recommendatiPURPOSE: The aim of this review was to critically appraise the literature on the use of antibiotics to treat peri-implantitis, with the ulti…
- External validation is required before the model can be applied in clinical settings.External validation is required before the model can be applied in clinical settings.