医疗保健大数据和疼痛管理:对流行病的观察

C. Alexander
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引用次数: 0

摘要

医疗保健是系统工程和临床科学的复杂结合,它包括护理的许多方面和许多类型的专业人员,包括临床提供者、信息技术专家、数据科学家、保险专业人员、药剂师等。系统工程的临床护理应以证据为基础,具有广泛的研究基础,以确保服务质量。医疗专业人员、患者、技术、保险、政策和标准等保证了系统医疗工程的质量。目前,大数据分析有助于形成医疗保健系统、政策和程序、治疗和评估,并取得更好的结果,还引领创新和研究,加强循证医学。神经科学是当今患者发现有必要期待个性化治疗和基于证据的护理计划的一个领域,因为今天与阿片类药物使用和慢性疼痛管理相关的并发症
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Healthcare Big Data and Pain Management: A Look into the Epidemic
Healthcare is a complex combination of system engineering and clinical science which includes many aspects of care and numerous types of professionals, including clinical providers, information technologists, data scientists, insurance professionals, pharmacists, etc. Clinical care in system engineering should be evidence-based and have a wide research base to ensure quality care. Medical professionals, patients, technologies, insurance, policies and standards, etc. ensure quality care in system healthcare engineering. Currently, Big Data analytics help form healthcare systems, policies and procedures, treatments and assessments, and achieve better outcomes, also leading innovation and research to strengthen evidence-based medicine. Neuroscience is one are today that patients are finding it necessary to expect personalized treatment and an evidence-based plan of care due to the complications associated today with opioid use and chronic pain management
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