patient healthcare technical contributed management

The gap

Supporting evidence — 5 representative gaps

• Facteurs associés à la gravité et à la mortalité au cours des anémies au service de Médecine In-terne du Centre Hospitalier Universitaire Communautaire à Bangui (République Centrafricaine) (2026) · doi

  Technical deficiencies in patient management infrastructure contributed to the high mortality rate (51.45%), suggesting need for improved healthcare resources.

  Keywords: technical deficiencies patient management infrastructure contributed high mortality rate suggesting need improved healthcare resources
• Barefoot Doctors and Social Medicine in China (2025) · doi

  Limited examination of how healthcare-seeking behavior patterns (elevated trust in high-level hospitals, patient autonomy) were measured or documented across different regions and time periods.

  Keywords: limited examination healthcare seeking behavior patterns elevated trust high level hospitals patient autonomy measured documented
• Staged management of infected diabetic foot ulcers: a 300-patient cohort study on prognostic grading, pathogen dynamics, and individualized risk prediction (2026) · doi

  The study does not evaluate whether the nomogram's predictive performance remains stable across different patient subpopulations or healthcare resource settings with varying access to revascularization and intensive multidisciplinary care.

  Keywords: evaluate whether nomogram predictive performance remains stable across different patient subpopulations healthcare resource settings varying
• The Results of Thrombolytic Treatment In Patients with Massive Pulmonary Embolism (2019) · doi

  The generalizability and applicability of findings to diverse patient populations and healthcare settings is not addressed.

  Keywords: generalizability applicability diverse patient populations healthcare settings addressed
• Artificial intelligence in preterm birth prediction: a narrative review of current approaches and clinical applicability (2026) · doi

  Models developed and val- idated at single institutions may not be generalizable to dif- ferent healthcare settings, patient demographi

  Keywords: models developed idated single institutions generalizable ferent healthcare settings patient demographi