Abstract Background: In the evolving healthcare landscape, hospitals face multifaceted challenges, including rising patient demands, limited resources, and the need for sustained quality improvements. Traditional accreditation systems, such as those from the National Accreditation Board for Hospitals and the National Accreditation Board for Testing and Calibration Laboratories, primarily focus on clinical quality and patient safety but often overlook broader operational aspects such as billing accuracy, insurance processing, and interdepartmental coordination. The objective of this study was to address these gaps, the Annual Operational Plan (AOP) framework, adapted from corporate strategic planning models, that was introduced in a charitable multispecialty hospital to promote compliance, accountability, and efficiency across departments. Materials and Methods: This study employed a comparative analysis of AOP compliance over 2 years in 39 departments. Compliance was categorized as completed, partial, or noncompliant for AOP items. The Plan-Do-Check-Act (PDCA) cycle was utilized for iterative monitoring, involving quarterly audits, feedback sessions, and targeted interventions. Statistical evaluations, including Chi-square tests, assessed changes in compliance rates and operational performance. Results: Total AOP items decreased from 334 in 2023–2024 to 279 in 2024–2025 due to refinements, but completed items rose from 119 (35.6%) to 160 (57.3%), while noncompliance fell from 43 (12.9%) to 5 (1.8%) ( χ 2 = 52.34, P < 0.00001). Departments such as blood bank, biomedical, and accident and emergency showed marked improvements, with blood bank achieving 100% completion. These gains were linked to enhanced departmental engagement and structured oversight. Conclusion: The AOP, integrated with PDCA, significantly boosted operational efficiency and accountability, filling voids in accreditation standards. While promising for resource-constrained settings, future research should explore patient outcomes, financial impacts, and long-term viability to validate its broader applicability.
Sawantwadkar et al. (Mon,) studied this question.