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Conducting Patient-Oriented Research in Colorectal Surgery: How and Why It Is Relevant?
Claire M Sokas1, Rishi Rawat1, Srinivas Joga Ivatury1
1Deparment of Surgery, University of Texas at Austin Dell Medical School, Austin, Texas, United States.
Patient-oriented research prioritizes patient outcomes. This review explores qualitative research, shared decision-making quality measurement, and AI
Area of Science:
- Health Services Research
- Clinical Practice Improvement
- Patient-Centered Care
Background:
- Patient-oriented research is crucial for aligning clinical practice with patient priorities.
- Ensuring that patient-valued outcomes guide medical decisions is paramount.
- Current approaches need enhancement to fully integrate patient perspectives.
Purpose of the Study:
- To review the integral role of qualitative research in advancing patient-oriented research.
- To examine methodologies for measuring the quality of shared decision-making.
- To identify opportunities for utilizing artificial intelligence to enhance shared decision-making processes.
Main Methods:
- Literature review synthesizing existing research on qualitative methods in patient-oriented studies.
- Analysis of frameworks and metrics for assessing shared decision-making quality.
- Exploration of current and potential applications of artificial intelligence in clinical decision support.
Main Results:
- Qualitative research provides deep insights into patient experiences and preferences, essential for patient-oriented research.
- Measuring shared decision-making quality requires robust tools focusing on communication, information exchange, and patient involvement.
- Artificial intelligence offers promising avenues for personalizing information, supporting patient choices, and improving decision-making efficiency.
Conclusions:
- Integrating qualitative research strengthens patient-oriented research by centering patient values.
- Effective measurement of shared decision-making is key to improving patient engagement and satisfaction.
- Leveraging artificial intelligence can significantly enhance shared decision-making, leading to more patient-centered care.
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