Abstract
In the evolving landscape of healthcare delivery, the assessment of patient experience—particularly in surgical settings—has gained significant importance. This paper explores and critically examines the role of digital feedback platforms in evaluating surgical patient experiences through a secondary data-based review. Traditional methods of patient feedback, such as paper-based surveys and verbal reviews, are being rapidly replaced by digital platforms like mobile applications, SMS-based systems, web portals, and interactive kiosks. These tools offer real-time insights, broader reach, and cost-effective data collection, yet they pose challenges including technological illiteracy, data privacy concerns, and uneven accessibility, especially in rural and geriatric populations.
This study systematically analyses various global and regional digital feedback mechanisms, drawing upon published research, healthcare agency reports, and government databases. Using frameworks like the Donabedian Model and the Technology Acceptance Model (TAM), the study classifies feedback platforms, identifies their key features, and assesses their relevance in capturing post-operative satisfaction, communication effectiveness, and overall hospital experience. Visual representations such as bar graphs and pie charts are employed to depict the comparative usage, satisfaction scores, and distribution of platform types across regions.
While digital platforms enhance transparency and accountability, they must be designed with inclusivity, linguistic diversity, and user-friendliness in mind. The study concludes with policy recommendations and identifies gaps for future research, particularly in the integration of AI-based sentiment analysis and cross-speciality comparative feedback. This paper contributes to the ongoing discourse on enhancing healthcare quality through digital innovation.