A framework for clinical effectiveness in ensuring good clinical outcomes and enhanced patient experience in surgery care patients using a digital approach
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2026
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Abstract
Abstract Background Patient-centered care is a cornerstone of quality healthcare, with patient experience as a key measure. Recent innovations in digital healthcare worldwide are making the surgical process smoother and more convenient. It also provides consistent support throughout the surgery care process ensuring quality care and better outcomes through close monitoring. Methods This study introduces a framework grounded in the Plan-Do-Study-Act (PDSA) model, designed to optimize Surgery Care experience via digital healthcare services. The study employs a multi-stage approach to Surgery care. Each stage incorporates various clinical checks and patient monitoring measured by patient satisfaction ratings, that enables us to get valuable insights about patient experience. To strengthen the clinical quality in surgery care, we have designed a risk stratification model at the preoperative level. This in turn enables risk categorization of each patient undergoing surgery, so that effective clinical support and monitoring can be provided, ensuring better clinical outcomes. Results Out of the 25,000 surgeries performed between April 2022 and the present, this framework has been implemented and evaluated in 9,000 elective surgeries. Results indicate a consistent Customer Satisfaction rating alongside good clinical outcomes in terms of quality indicators such as elective surgery mortality and postoperative complication rates with fewer incidents reported. Conclusion Through the implementation of the proposed framework, the study demonstrates improved clinical care, a streamlined process, and improved patient safety along with enhanced patient satisfaction. The study envisions a transformative impact on patient outcomes and patient experience, reinforcing the importance of continuous improvement in surgery care.
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| Authors | Ilaveyini Selvaraj, Rebecca Fern Daniel, Ashi Ashok, Archana Prabhakar, Gowri Kulkarni |
| Journal | IJQHC Communications |
| Year | 2026 |
| DOI |
10.1093/ijcoms/lyag016
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| URL | |
| Keywords | Keywords not found |
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