Abstract
Chronic pain management is a multifaceted challenge that requires a comprehensive approach in family medicine. Nursing plays a pivotal role by providing patient education, emotional support, and coordination of care among various healthcare providers. Nurses assess patients' pain levels, administer prescribed medications, and monitor for side effects, all while fostering an environment that encourages open communication about pain experiences. Furthermore, nurses are instrumental in integrating non-pharmacological therapies, such as physical therapy and mental health support, into pain management plans. Their direct interaction with patients allows them to identify barriers to effective pain management, making them advocates for patient-centered care. Anesthesia professionals contribute significantly to chronic pain management through interventional techniques, such as nerve blocks and epidural injections, which can provide relief for patients when conventional treatments fail. Medical coding specialists ensure that accurate documentation and billing occur for these complex procedures, ensuring healthcare providers receive proper reimbursement and facilitating access to necessary treatments for patients. Radiology plays a crucial diagnostic role by providing imaging studies that identify the underlying causes of pain, guiding treatment decisions and interventions. In more severe cases, where chronic pain overlaps with critical conditions, intensive care units may be involved to manage acute exacerbations of pain and underlying health problems. Together, these disciplines create an integrated network of care that emphasizes a holistic approach to managing chronic pain, ultimately improving patients' quality of life.
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CITATION STYLE
Amnah Ibrahim Alsamti, Hind Tarig Alshahrani, Solaf Mujeeb Alzhrani, Albtool Abdullah Alharbi, Ali Hassan T Alhdad, Haytham Abdulsalam Nasrulden, … Najeeb Mansour Al Mohammedali. (2025). Management of Chronic Pain in Family Medicine Roles of Nursing, Anesthesia, Medical Coding, Radiology, and Intensive Care. International Journal of Computational and Experimental Science and Engineering, 11(4). https://doi.org/10.22399/ijcesen.3975
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