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Other literature type . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Thesis . 2024
License: CC BY
Data sources: Datacite
ZENODO
Thesis . 2024
License: CC BY
Data sources: Datacite
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IMPROVING PATIENT PROCEDURES THROUGH PROCESS OPTIMIZATION: A COMPREHENSIVE REVIEW OF PATIENT-CENTERED CARE MODELS

Authors: Talal Saleh Mohammed Alshamrani, Abdulelah Abdullah Salem Alhebshan, Ahmed Ali Alhyyani, Ali Ayed Alahmari;

IMPROVING PATIENT PROCEDURES THROUGH PROCESS OPTIMIZATION: A COMPREHENSIVE REVIEW OF PATIENT-CENTERED CARE MODELS

Abstract

This comprehensive review examines the role of process optimization in enhancing patient-centered care models, focusing on strategies that improve healthcare delivery, patient satisfaction, and overall outcomes. Patient-centered care emphasizes respect for patient preferences, seamless coordination, and accessibility, yet often faces implementation challenges in complex healthcare environments. By exploring models such as the Patient-Centered Medical Home (PCMH), Collaborative Care, and Lean Management in Healthcare, this study highlights various optimization techniques—such as workflow analysis, resource allocation, and health information technology (IT) utilization—that streamline procedures and reduce inefficiencies. Findings reveal that optimized patient-centered models contribute significantly to reducing wait times, enhancing patient adherence, and minimizing medical errors, while fostering a culture of continuous improvement. However, barriers such as resistance to change and costs related to training and technology integration remain hurdles to widespread adoption. This review underscores the potential of optimized patient-centered care models to transform healthcare delivery and suggests future research directions in technology-driven optimizations and personalized care approaches. Keywords: Patient-centered care, process optimization, healthcare delivery, patient satisfaction, PCMH, Lean Management, Collaborative Care Model, efficiency, healthcare improvement, patient outcomes.

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    popularity
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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green