Uthealth生物医学信息学学院通过研究,应用程序服务和教育纪律,包括数据科学和人工智能,临床和健康信息学以及beplay苹果手机能用吗生物信息学和系统医学。
Uthealth生物医学信息学学院的计算生物医学中心(CCB)通过开发,评估和应用新颖的信息学方法和软件来支持生物医学发现,以提取和分析异质生物医学数据。这个独特的研究平台弥合了beplay苹果手机能用吗生物信息学和临床信息学研究之间的差距。该中心的当前研究beplay苹果手机能用吗和服务活动包括医疗保健数据分析,生物医学文献挖掘和转化生物信息学。CCB由Hua Xu,PhD领导。
数据科学和临床信息学
→CCB
中心SecureA人工智能F或hEalthcare (SAFE) at the UTHealth School of Biomedical Informatics focuses on using advanced methodologies derived from computer science, applied mathematics, biostatistics, chemistry, and pharmacology to facilitate and expedite biomedical data analysis. By combining secure and privacy-preserving solutions with advanced machine learning models, SAFE is uniquely positioned to explore massive, sensitive healthcare data across diverse sources and modalities. SAFE is led by Xiaoqian Jiang, PhD.
数据科学和临床信息学
→安全的
Uthealth Precision Health(CPH)设计和进行研究和演示项目的重点是使用最先进的信息学和分析,再加上电子健康记录beplay苹果手机能用吗(EHR),表型和-OMICS数据,以促进精密医学的开创性领域。该中心与Uthealth以及国家和国际合作伙伴的研究人员和医师科学家密切合作。beplay苹果手机能用吗目前,CPH是开发四个高优先研究领域的领先者:基于人群的基因组学,用于精确健康,癌症精确医学,转化生物信息学和智能临床试验。beplay苹果手机能用吗CPH由MS中央Zhao博士领导。
数据科学与生物信息学
→CPH
Uthealth生物医学信息学学院生物医学语义与数据智能(CBSDI)的目标是:(1)增加知识,数据和生物医学领域中知识,数据和应用之间的互操作性;(2)开发语义技术来存储,查询,整合和分析当今正在生成的大量生物学数据,并根据已知知识推断新知识;(3)开发人工智能技术,这些技术将语义智能和统计智能结合在一起,用于不同的临床应用。CBSDI由Cui Tao博士领导。
UTHealth生物医学信息学学院分er for Computational Systems Medicine (CCSM) seeks to serve as a leader in solving the complex problems related to precision health by focusing on the development/advancement of leading-edge clinical and translational informatics, biomedical imaging informatics tools, bioengineering and systematic modeling tools, and the integration heterogeneous big datasets derived from multiple sources (e.g., clinical, imaging, EMR, genomic, behavioral, social, population, environmental, and other data sources). Through these means, CCSM is providing groundbreaking solutions to patient care and health prevention through biomedical discoveries that improve clinical and translation research. The center conducts research across three dimensions: systems informatics and physics-guided precision medicine, clinical and translational big data informatics, and translational systems bioinformatics and systems biology. The CCSM is led by Xiaobo Zhou, PhD.
→CCSM
中心Health Systems Analytics (CHSA) at the UTHealth School of Biomedical Informatics oversees a multidisciplinary team of scientists and clinicians that utilize data science methodologies to improve health systems and population science through prevention, policy, and treatment programs targeting vulnerable populations, especially those that engage with hospital emergency departments and first responders. Working at the intersection of clinical informatics and public health, the Center primarily focuses its efforts on behavioral informatics, applied clinical informatics for cardiovascular and emergency care, as well as applied clinical informatics for health policy, management and entrepreneurship. The CHSA is led by James Langabeer, PhD, MBA, FAHA.
应用的临床信息学
→CHSA
National Center for Cognitive Informatics and Decision Making in Healthcare (NCCD) was funded by the Office of the National Coordinator for Health IT under the Strategic Health IT Advanced Research Projects (SHARP) Program, which seeks to support improvements in the quality, safety, and efficiency of health care through advanced information technology. The NCCD is led by Amy Franklin, PhD.
临床信息学和数据科学
→NCCD
The UTHealth Biomedical Informatics Group Analytics Research Center (BIG-Arc) seeks to leverage biomedical data for clinical/translational research and clinical care by obtaining, integrating, analyzing, and making sense of data. This work is done through现有工具(e.g., NLP, REDCap, etc.) and创建新工具(例如,EMPI,BIGTXT等)以及服务(例如增强的主题招聘,HIPAA和安全性,IRB和数据访问),编程和应用程序开发(e.g., multiple project-specific applications for researchers), and research (e.g., CTSA-funded projects, data visualization, record-linking, scanned documents, precision oncology, and decision support, etc.). BIG-Arc is a component of the national network of CTSA Groups. It is led by Elmer Bernstam, MD, MSE.
The CPRIT UTHealth Cancer Genomics Center (CGC) seeks to provide next-generation sequencing (e.g., study design, DNA/RNA preparation, etc.), advanced bioinformatics (e.g., NGS and array data analysis, gene set enrichment analysis, etc.), and other key services (e.g., grant proposal development, NGS training, etc.) benefiting cancer investigators at UTHealth, the Texas Medical Center, and elsewhere, throughout the state of Texas. The CGC is led by Zhongming Zhao, PhD, MS.
生物信息学
→CGC
Center for Digital Health and Analytics (DHA) is part of the UTHealth School of Biomedical Informatics. Our work is driven by research in Human Factors, Cognitive Informatics, Behavior Science, Connected Health Technologies, and Clinical Decision Making in Healthcare. In addition to research, grant collaborations, mentoring and training, we provide fee for service to develop and implement clinical and patient centered applications, and product development in digital healthcare and analytics. The DHA is led by Amy Franklin, PhD.
应用的临床信息学
→DHA
The UTHealth School of Biomedical Informatics Data Science and Informatics Core The UTHealth School of Biomedical Informatics Data Science and Informatics Core for Cancer Research (DSICCR) provides expertise in genomics, proteomics, imaging analysis, complex systems modeling, electronic health record mining, clinical data warehouse creation, and clinical decision making. In addition, the center is proficient in configuring, deploying, and maintaining the large-scale hardware and software infrastructures necessary to cutting-edge data science and informatics research. DSICCR has the unique ability to employ data science and informatics approaches in support of multi-scale cancer research and clinical projects that generate heterogeneous datasets especially, for projects that focus on understanding cancer through the integration of different data modalities. DSICCR is led by W. Jim Zheng, PhD.
Data Science, Clinical Informatics & Bioinformatics
The Gulf Coast Regional Extension Center (GCREC) is a program within the UTHealth School of Biomedical Informatics that provides health information technology (HIT) and care transformation services to medical practices in Southeastern Texas and the Rio Grande Valley. The GCREC region encompasses almost 11 million patients, comprising 44% of the Texas population. RECs were originally funded by the Office of the National Coordinator to promote the adoption, implementation, and meaningful use (MU) of electronic health records (EHRs) in underserved, primary care provider settings. The GCREC has successfully helped over 2,235 clinicians achieve their MU goals, thereby qualifying for financial incentives. Currently, the GCREC has evolved to provide professional HIT consulting to clinicians and hospitals on a fee-for-service basis. The GCREC has a proven track record of working with Texas clinicians, Federally Qualified Health Centers (FQHCs), and small hospitals to improve practice workflows, patient care, and patient safety through the optimized use of EHRs. The GCREC is led by Susan Fenton, PhD.
Clinical Informatics
Uthealth生物医学信息学学院(SBMI)构成了一项健康数据服务,以响应学校在学校可用的越来越多的健康数据集,并增加了将这些数据集用于信息学研究,应用和教育目的的需求。beplay苹果手机能用吗SBMI数据服务与数据科学和信息学核心(DSICCR)合作,为合格的客户提供了技术援助和咨询服务。beplay苹果手机能用吗SBMI数据服务由Hua Xu,PhD领导。
临床信息学和数据科学
大学的Texas Health Intelligence Platform (UT-HIP) is a program designed to integrate and analyze health data from The University of Texas System’s six health institutions and two medical schools. Working collaboratively across the system and drawing on the expertise of UT healthcare leaders, data science is used to improve the patient’s care experience, enhance the health of populations served by UT institutions, and reduce the overall cost of health care across the system. At the UTHealth School of Biomedical Informatics, UT-HIP is led by Coordinating Center Director, Robert Murphy, MD.
临床信息学和数据科学
Uthealth生物医学信息学学院(SBMI)创建了信息学创新(I2)实验室,以应对卫生行业和研究合作伙伴对信息相关的援助的需求增加。beplay苹果手机能用吗在I2实验室,研究生级学生,我们世界著名的SBMI教职员工以及公司和非营利合作伙伴合作,为实现现实世界信息学问题开发尖端的技术解决方案。I2实验室由Susan Fenton博士领导。