Streamlining elective surgical pathways using early digital screening with complexity grading: feasibility study of a co-designed innovation - Report - MDSpire
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Optimizing Elective Surgical Pathways Through Early Digital Complexity Assessment: A Feasibility Study of a Collaborative Innovation
Clinical Report: Optimizing Elective Surgical Pathways Through Early Digital Complexity Assessment
Overview
This feasibility study evaluated a digital questionnaire designed for early complexity screening in elective surgery patients. Results indicated a significant reduction in preoperative screening time and high eligibility for fast-tracking patients to low-complexity surgical hubs.
Background
The elective care backlog poses a significant challenge, with late cancellations exacerbating the issue. Innovative approaches are needed to streamline complexity screening. This study introduces a digital tool that incorporates various domains of patient complexity to enhance preoperative assessment.
Data Highlights
Metric
Result
Average time to preoperative screening
3.4 days
Percentage of patients eligible for fast-tracking
44%
Correct identification of medium/high complexity cases
100%
Patient questionnaire completion without assistance
97%
Key Findings
The average time to preoperative screening decreased from 3โ4 weeks to 3.4 days.
44% of patients were eligible for fast-tracking to low-complexity surgical hubs.
A nurse-led validation process identified 100% of medium and high-complexity cases correctly.
97% of patients completed the digital questionnaire without assistance.
Clinical Implications
The digital complexity assessment tool can significantly reduce preoperative screening times and enhance patient triage processes. Its implementation may lead to improved resource utilization and reduced cancellation rates in elective surgery.
Conclusion
The study supports the feasibility and validity of the digital complexity tool.
by Tom Langford, Daveena Meeks, Deirdre Anderson, Lepalele Sepa, Stephanie Fraser, Pearl Okeke, Joseph Low, Polly Sinclair, Amanda Begley, Ramai Santhirapala