Decision Science in Rehabilitation

康复决策科学

• 批准号: 7197747
• 负责人: WILLIAM D SPAULDING
• 金额: $ 29.56万
• 依托单位: UNIVERSITY OF NEBRASKA LINCOLN
• 依托单位国家: 美国
• 财政年份: 2007
• 资助国家: 美国
• 起止时间: 2007-05-05 至 2010-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7197747
• 关键词: Advanced Development; Affect; Attention; Bayesian Analysis; Behavior; Behavioral; Behavioral Sciences; Biological Neural Networks; Characteristics; Clinical; Clinical Data; Clinical Decision Support Systems; Clinical Informatics; Clinical Treatment; Clinical assessments; Cognitive; Cognitive Therapy; Communities; Complex; Craniocerebral Trauma; Data; Data Analyses; Databases; Decision Making; Decision Support Systems; Development; Dimensions; Distant; Drug abuse; Education; Effectiveness; Engineering; Family; Future; Goals; Growth; Health system; Healthcare; Human; Independent Living; Individual; Informatics; Information Management; Information Resources Management; Inpatients; Institution; Judgment; Lead; Legal; Life; Linear Models; Measures; Mental Health; Mental disorders; Modeling; Nebraska; Outcome; Outpatients; Pathway Analysis; Pathway interactions; Patients; Pattern; Perception; Policies; Procedures; Process; Provider; Psychologist; Psychology; Purpose; Quality of life; Range; Recovery; Rehabilitation Outcome; Rehabilitation therapy; Research; Research Personnel; Science; Scientist; Services; Source; Specificity; Spinal Injuries; Staging; Stroke; System; Techniques; Technology; Time; Translating; Translational Research; Ursidae Family; Visit; Work; base; computer based statistical methods; computer science; computerized; concept; cost; data management; data mining; design; disability; experience; infancy; innovation; interdisciplinary collaboration; interest; mathematical model; programs; psychiatric rehabilitation; response; severe mental illness; skills training; tool; treatment planning; treatment trial

DESCRIPTION (provided by applicant): The project proposed in this application is a response to PAR-02-062, "Building Translational Research in Behavioral Science." The overarching purpose of the proposed project is that described in PAR-02-062, to "increase collaborative efforts among basic and clinical researchers in order to realize the fullest potential of translational research," for the particular purpose of studying "decision making as it affects the behavior of patients and providers in mental health or drug abuse services settings." This project brings together researchers in psychiatric rehabilitation, experts in mathematical modeling with backgrounds in engineering, computer science and psychology, a psychologist researcher in physical rehabilitation, an experimental psychologist who specializes in human perception and processing of complex data, and an expert in consumer interests and perspectives. These collaborators will work together to develop mathematical models of progress through rehabilitation, working from existing and planned clinical databases. The models will be developed with special attention to identifying key decision points in the rehabilitation process, and identifying patterns of circumstances and consumer characteristics that should inform clinical decision making by providers and consumers. When these patterns are identified, the findings will be translated into informatic design parameters, to inform future development of clinical decision support systems for rehabilitation. Advanced decision support systems, based on the findings of the modeling analyses, are expected to greatly enhance the outcome of psychiatric rehabilitation by alerting practitioners and consumers to make key judgements and decisions, and by providing the information they need to make those decisions. The project proposed in this application is a key step in developing the interdisciplinary collaboration necessary to produce advanced, research-informed clinical informatic systems for psychiatric rehabilitation.

描述（由申请人提供）：本申请中提出的项目是对PAR-02-062“建立行为科学转化研究”的回应。“拟议项目的总体目的是PAR-02-062中所述的，以“增加基础和临床研究人员之间的合作努力，以实现转化研究的最大潜力”，特别是研究“决策，因为它会影响患者和精神卫生或药物滥用服务提供者的行为”。“这个项目汇集了精神康复研究人员，具有工程，计算机科学和心理学背景的数学建模专家，物理康复心理学家研究人员，专门研究人类感知和处理复杂数据的实验心理学家，以及消费者利益和观点的专家。这些合作者将共同努力，通过现有和计划的临床数据库，开发康复进展的数学模型。这些模型将特别注意识别康复过程中的关键决策点，并识别应告知提供者和消费者临床决策的情况和消费者特征的模式。当这些模式被确定，研究结果将被转化为信息设计参数，为未来的康复临床决策支持系统的发展提供信息。先进的决策支持系统，根据建模分析的结果，预计将大大提高精神康复的结果，提醒从业者和消费者作出关键的判断和决定，并提供他们需要作出这些决定的信息。本申请中提出的项目是发展跨学科合作的关键一步，这种合作是为精神病康复提供先进的、以研究为基础的临床信息系统所必需的。