Submitted:
15 July 2024
Posted:
16 July 2024
Read the latest preprint version here
Abstract
Keywords:
1. Introduction
2. Clinical Background, Current Knowledge, State of the Art
2.1. Clinical Background & Current Knowledge
2.2. State of the Art, including Alternative Treatments
3. The gap in Current Methods
4. Pathpoint® ePOA Platform
4.1. Device Description
Key Features
- Comprehensive Patient Assessment: Conduct thorough evaluations of the patient's medical history, current health status, and surgical risk factors.
- Patient Screening: Screen patients for optimisable health factors with the use of a digital questionnaire.
- Risk Stratification: Categorise patients into high, medium, or low-risk based on preoperative assessment findings, aiding in personalised care planning.
- Resource Allocation: Prioritise patient care and allocate resources efficiently based on the severity of patient conditions and surgical urgency, enhancing workflow efficiency.
- Interoperability: Seamlessly integrate with existing electronic healthcare records (EHRs) and referral systems, ensuring smooth data exchange and collaboration across healthcare settings.
- Customisable Templates: Utilise customisable templates for standardised documentation of preoperative assessments, facilitating consistency and compliance with clinical protocols.
4.2. Measurement Methods Possible in Pathpoint® ePOA
4.3. Clinical Benefits and Outcome Parameters of ePOA
4.3.1. Clinical Capacity (Improved Resource Allocation):
- Increased Clinical Capacity: Implementing ePOA improves resource utilisation in healthcare settings. This is reflected in optimised appointment scheduling, reduced waiting times, and streamlined patient flow through preoperative assessments.
- More POA Assessments: The efficiency of ePOA leads to a higher volume of preoperative assessments being conducted, ensuring that patients receive timely evaluations.
- Virtual Clinic Outcomes: Utilizing ePOA for preoperative assessments can achieve successful outcomes comparable to in-person clinic visits, demonstrating the efficacy of remote assessment systems.
4.3.2. ePOA Questionnaire Answered (Enhanced Complexity Stratification):
- Earlier Identification of Health Conditions: ePOA facilitates the early identification of health conditions that could benefit from prehabilitation (prehab), allowing for timely interventions that can improve surgical outcomes.
- Increased Prehab Participation: By using complexity scores from ePOA assessments, more patients are directed towards prehab programs, optimising their health before surgery and potentially reducing postoperative complications.
4.3.3. Enhanced Patient Engagement and Preparedness:
- Increased Preoperative Optimization Time: ePOA enhances preoperative optimisation time through streamlined data collection and assessment processes, ensuring thorough evaluations and preparation before surgery.
- Reduction in Treatment Delays: The platform helps minimise delays in treatment caused by incomplete or delayed preoperative assessments, thereby ensuring timely interventions and improving patient satisfaction.
4.3.4. Better Patient Follow-Up:
- High Response Rate Questionnaire: ePOA’s user-friendly design promotes a higher response rate for postoperative questionnaires, providing valuable insights into patient recovery and outcomes.
- ePOA QA Filled After Follow-Up by ePOA: ePOA facilitates effective postoperative follow-up, enabling clinicians to gather comprehensive patient data, assess progress, and adjust care plans, thereby promoting better long-term outcomes.
4.3.5. Adverse Effects:
- Reliance on Complexity Score: The integration of complexity scores from ePOA assessments enhances clinician confidence in risk stratification and decision-making for preoperative management.
- Reliance on Patient-Reported Information: The platform emphasises the importance of accurate patient-reported information, reflecting patient understanding and engagement with the questionnaire, thus supporting patient empowerment in their healthcare journey.
| S.No | Clinical Parameter | Outcome Parameters | Way to measure the outcome |
|---|---|---|---|
| 1. | Clinical Capacity | Increased Clinical Capacity | Implementing ePOA leads to improved resource utilisation in healthcare settings. This can manifest as optimised appointment scheduling, reduced waiting times, and streamlined patient flow through the preoperative assessment. |
| More POA Checkups | ePOA facilitates more frequent and structured preoperative assessment checkups, ensuring patients undergo necessary evaluations efficiently. | ||
| Virtual Clinic Outcomes | Utilising ePOA for preoperative assessments can lead to successful outcomes comparable to in-person clinic visits, showcasing the efficacy of remote healthcare delivery systems. | ||
| 2. | ePOA Questionnaire Answered (Enhanced Complexity Stratification) | Earlier Identification of Health Conditions | The ePOA questionnaire aids in the early identification of health conditions that may benefit from prehabilitation (prehab). This proactive approach allows healthcare professionals to intervene early, potentially improving patient outcomes post-surgery. |
| More Patients Going Through Prehab | By stratifying patients based on complexity scores derived from ePOA assessments, more patients can be directed towards prehab programs. This helps in optimising patient health before surgery and potentially reducing postoperative complications. | ||
| 3. | Enhanced Patient Engagement and Preparedness | Increased Preoperative Optimisation Time | ePOA contributes to increased preoperative optimisation time by streamlining data collection and assessment processes. This ensures that patients are thoroughly evaluated and optimised before surgery, improving outcomes. |
| Reduction in Delays to Treatment | Eliminating delays in treatment due to incomplete or delayed preoperative assessments ensures timely interventions and surgical procedures, enhancing patient safety and satisfaction. | ||
| 4. | Better Patient Follow-Up | High Response Rate Questionnaire | ePOA's user-friendly interface encourages high response rates for postoperative questionnaires, providing valuable insights into patient recovery and outcomes. |
| ePOA QA Filled after Follow-Up by ePOA | Patient follow-up facilitated by Pathpoint® ePOA enables clinicians to gather comprehensive postoperative data, assess patient progress, and adjust care plans accordingly, promoting better long-term outcomes. | ||
| 5. | Adverse effects | Reliance on Complexity Score | Integrating complexity scores derived from ePOA assessments enhances clinician confidence in risk stratification and decision-making regarding preoperative management. |
| Reliance on Patient-Reported Information | ePOA's reliance on patient-reported information underscores the importance of patient understanding and engagement with the questionnaire. This promotes patient empowerment and proactive involvement in their healthcare journey. |
4.4. Justification for Measurement Parameters in ePOA Implementation
4.4.1. Clinical Capacity Enhancement:
4.4.2. Enhanced Complexity Stratification:
4.4.3. Improved Patient Engagement and Preparedness:
4.4.4. Effective Patient Follow-Up:
4.4.5. Risk Management and Patient Empowerment:
5. Clinical Safety, Methods for Analysis
5.1. Safety Parameters
5.2. Risk Management Plan
5.3. Risk Assessment
5.4. Risk Management Report
5.5. Compliance with NHS Digital Toolkit
5.6. Recertification and Annual Review
5.7. Comprehensive User Training and Support
5.8. Adverse Event Monitoring and Management
5.9. Post-Market Surveillance
6. Acceptability of Benefit-Risk-Ratio
6.1. Clinical Benefits Overview
6.2. Risk Mitigation Measures
6.3. Benefit-Risk Analysis
- Enhanced Patient Outcomes vs. Data Security Risks: The significant improvement in patient outcomes through optimised preoperative planning and risk reduction outweighs the manageable risks related to data security, which are mitigated by data security measures.
- Increased Efficiency vs. System Reliability Concerns: The efficiency gains in preoperative processes and resource allocation significantly benefit healthcare providers and patients, overshadowing the minimal risks associated with system downtime, addressed through redundancy systems and regular maintenance.
- Improved Clinical Decision-Making vs. Accuracy of Decision Support: The software's contribution to more accurate and informed clinical decision-making, supported by continuous validation against clinical outcomes, presents a substantial benefit over the minimal risk of decision support inaccuracies, which are continuously monitored and updated.
6.4. Acceptability Conclusion
7. Conclusion
Acknowledgements
References
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