Integrating Clinical And Translational Research Networks Building Team Medicine

Medical centers are widely recognized as vital components of the healthcare system. However, academic medical centers are differentiated from their community counterparts by their mission, which typically focuses on clinical care, education, and research. Nonetheless, community clinics/hospitals fill a critical need and play a complementary role serving as the primary sites for health care in most communities. Furthermore, it is now increasingly recognized that in addition to physicians, physician-scientists, and other healthcare-related professionals, basic research scientists also contribute significantly to the emerging inter- and cross-disciplinary, team-oriented culture of translational science. Therefore, approaches that combine the knowledge, skills, experience, expertise, and visions of clinicians in academic medical centers and their affiliated community centers and hospitals, together with basic research scientists, are critical in shaping the emerging culture of translational research so that patients from the urban as well as suburban settings can avail the benefits of the latest developments in science and medicine. ‘Integrating Clinical and Translational Research Networks—Building Team Medicine’ is an embodiment of this ethos at the City of Hope National Medical Center in Duarte, California. It includes a series of papers authored by teams of leading clinicians, basic research scientists, and translational researchers. The authors discuss how engaging and collaborating with community-based practices, where the majority of older patients with cancer receive their care, can ensure that these patients receive the highest-quality, evidence-based care. Based on our collective experience at City of Hope, we would like to stress that the success of academic-community collaborative programs not only depends on the goodwill and vision of the participants but also on the medical administration, academic leadership, and policymakers who define the principles and rules by which cooperation within the health care industry occurs. We trust that our experience embodied in this singular compendium will serve as a ‘Rosetta Stone’ for other institutions and practitioners.

The previous Special Issue of the Journal of Clinical Medicine, 'Integrating Clinical and Translational Research Networks-Building Team Medicine', which highlighted our collective experience from the City of Hope and was published in 2020, was a huge success. Buoyed by the enthusiastic response from our peers and colleagues, we have embarked on bringing out Volume 2. The basic theme is the same-namely, integrating academic medical centers with the clinical network in various geographic locations to ensure that all patients, regardless of their physical proximity to major medical institutions, can benefit from recent clinical advances. As in the previous volume on the importance of including basic research scientists, our aim here is to highlight translational research approaches that leverage the combined knowledge, skills, experience, expertise, and vision of clinicians in academic medical centers, their affiliated community centers, and hospitals, together with those of basic research scientists. However, here we also strive to include bioinformaticians and data scientists. We look forward to sharing our team medicine experience with our colleagues around the world and trust that they will find the approach described in the articles included in this Special issue useful for guiding their approaches for treating cancer patients.

Medical centers are widely recognized as vital components of the healthcare system. However, academic medical centers are differentiated from their community counterparts by their mission, which typically focuses on clinical care, education, and research. Nonetheless, community clinics/hospitals fill a critical need and play a complementary role serving as the primary sites for health care in most communities. Furthermore, it is now increasingly recognized that in addition to physicians, physician-scientists, and other healthcare-related professionals, basic research scientists also contribute significantly to the emerging inter- and cross-disciplinary, team-oriented culture of translational science. Therefore, approaches that combine the knowledge, skills, experience, expertise, and visions of clinicians in academic medical centers and their affiliated community centers and hospitals, together with basic research scientists, are critical in shaping the emerging culture of translational research so that patients from the urban as well as suburban settings can avail the benefits of the latest developments in science and medicine. 'Integrating Clinical and Translational Research Networks--Building Team Medicine' is an embodiment of this ethos at the City of Hope National Medical Center in Duarte, California. It includes a series of papers authored by teams of leading clinicians, basic research scientists, and translational researchers. The authors discuss how engaging and collaborating with community-based practices, where the majority of older patients with cancer receive their care, can ensure that these patients receive the highest-quality, evidence-based care. Based on our collective experience at City of Hope, we would like to stress that the success of academic-community collaborative programs not only depends on the goodwill and vision of the participants but also on the medical administration, academic leadership, and policymakers who define the principles and rules by which cooperation within the health care industry occurs. We trust that our experience embodied in this singular compendium will serve as a 'Rosetta Stone' for other institutions and practitioners.

This book brings together a range of academic, industry and practitioner perspectives on translational medicine (TM). It enhances conceptual and practical understanding of the emergence and progress of the field and its potential impact on basic research, therapeutic development, and institutional infrastructure. In recognition of the various implications TM has for public health policy and commercial innovation, the book addresses the major systemic aspects of the field. The contributors explore the dynamic interactions and key challenges in translating new science into viable therapies for the clinic, which includes recognizing the importance of social, commercial, and regulatory environments in addition to good science.

Community-based participatory research (CBPR) emerged in response to the longstanding tradition of "top-down" research-studies in which social scientists observe social phenomena and community problems as outsiders, separate from the participants' daily lives. CBPR is more immersive, fostering partnerships between academic and community organizations that increase the value and consequence of the research for all partners. The current perspectives gleaned from this school of research have been wildly well-received, in no small part because they address the complexity of the human experience in their conclusions. HANDBOOK OF COMMUNITY-BASED PARTICIPATORY RESEARCH codifies the methods and theories of this research approach and articulates an expansive vision of health that includes gender equality, safe and adequate housing, and freedom from violence. Topic-based chapters apply the theory and methods of CBPR to real world problems affecting women, ethnic and racial minorities, and immigrant communities such as sexual violence, exposure to environmental toxins, and lack of access to preventive care as well as suggesting future directions for effective, culturally sensitive research. HANDBOOK OF COMMUNITY-BASED PARTICIPATORY RESEARCH is required reading for academics, policy makers, and students seeking meaningful social change through scholarship.

Mental Health Informatics offers a comprehensive examination of contemporary issues in mental health that focuses on the innovative use of computers and other information technology in support of patient care, education, services delivery, and research in the field of mental health services. This text deals with resources, devices, and formalized methods for optimizing the storage, retrieval, and management of information for problem solving and decision-making in mental health. Mental health informatics is an interdisciplinary field based upon computer and information sciences, the cognitive and decision sciences, public health and mental health (including epidemiology), and telecommunications. Researchers in informatics have discovered new methods and techniques to enhance health and mental health care, scientific and applied research, and education through information technology. The fourteen chapters are divided into four main parts, including: 1) an introduction to informatics, public health, and mental health; 2) an overview of the ethical, legal, services delivery, and organizational issues in data/records standards and technology adoption; 3) discusses research in today's online environment, addressing issues including research competencies, standards for literature reviews, constructing search strategies, and synthesizing findings; and 4) provides a discussion of the globalization of information and future issues in policy and practice in mental health informatics.

This eBook contains the 19 articles that were part of a Special Topic in Frontiers in Genetics entitled “Genetics Research in Electronic Health Records Linked to DNA Biobanks”. The Special Issue was published on-line in 2014-2015 and contained papers representing the diverse research ongoing in the integration of electronic health records (EHR) with genomics through basic, clinical, and translational research. We have divided the eBook into four Chapters. Chapter 1 describes the Electronic Medical Records and Genomics (eMERGE) network and its contri-bution to genomics. It highlights methodological questions related to large data sets such as imputation and population stratification. Chapter 2 describes the results of genetic studies on different diseases for which all the phenotypic information was extracted from the EHR with highly specific ePhenotyping algorithms. Chapter 3 focuses on more complex analyses of the genome including copy number variants (CNV), pleiotropy com-bined with phenome-wide association studies (PheWAS), and epistasis (gene-gene interactions). Chapter 4 discusses the use of genetic data together with EHR-derived clinical data in clinical settings, and how to return genetic results to patients and providers. It also contains a comprehensive review on genetic risk scores. We have included mostly Original Research Articles in the eBook, but also Reviews and Methods papers on the relevant topics of analyzing and integrating genomic data. The release of this eBook is timely, since several countries are launching Precision Medicine initiatives. Precision Medicine is a new concept in patient care taking into account individual variability in genetic, environmental and lifestyle factors, when treating diseases or trying to prevent them from developing. It has become an important focus for biomedical, clinical and translational informatics. The papers presented in this eBook are well positioned to educate the readers about Precision Medicine and to demonstrate the potential study designs, methods, strategies, and applications where this type of research can be performed successfully. The ultimate goal is to improve diagnostics and provide better, more targeted care to the patient.