8^th International Conference on Health Informatics & Telemedicine September 28-29, 2018 | Chicago, Illinois, USA

Clinical Informatics is concerned with the use of information in health care by and clinicians. Clinicians collaborate with other health care and information technology professionals to develop health informatics tools which promote patient care that is safe, efficient, effective, timely, patient-centered, and equitable. Clinical informaticians transform health care by analyzing, designing, implementing, and evaluating information and communication systems that enhance individual and population health outcomes, improve patient care, and strengthen the clinician-patient relationship. Clinical informaticians use their knowledge of patient care combined with their understanding of informatics concepts, methods, and health informatics.

Nursing informatics (NI) is the specialty that integrates nursing science with multiple information management and analytical sciences to identify, define, manage, and communicate data, information, knowledge, and wisdom in nursing practice. NI supports nurses, consumers, patients, the interprofessional healthcare team, and other stakeholders in their decision-making in all roles and settings to achieve desired outcomes. This support is accomplished through the use of information structures, information processes, and information technology.

It deals with the resources, devices and methods required to optimize the acquisition, storage, retrieval and use of information in health and biomedicine. Health informatics tools include not only computers but also clinical guidelines, formal medical terminologies, and information and communication systems. It is applied to the areas of nursing, clinical care, dentistry, pharmacy, public health and (bio)medical research. Public health informatics has been defined as the systematic application of information and computer science and technology to public health practice, research and learning. Public health organizations are faced with the challenge of collecting and analyzing data related to the health of a population, and managing this data to maximize efficiency and efficacy. The Certificate in Public Health Informatics is designed to develop experts in the systematic application of information technology to public health practice, research and learning.

Translational Bioinformatics (TBI) is an emerging field in the study of health informatics, focused on the convergence of molecular bioinformatics, biostatistics, statistical genetics, and clinical informatics. Its focus is on applying informatics methodology to the increasing amount of biomedical and genomic data to formulate knowledge and medical tools, which can be utilized by scientists, clinicians, and patients. Furthermore, it involves applying biomedical research to improve human health through the use of computer-based information system. TBI employs data mining and analyzing biomedical informatics in order to generate clinical knowledge for application. Clinical knowledge includes finding similarities in patient populations, interpreting biological information to suggest therapy treatments and predict health outcomes.

Big data offers enormous potential for improving healthcare delivery, many of the existing claims concerning big data in healthcare are based on anecdotal reports and theoretical vision papers, rather than scientific evidence based on empirical research. Big data have learned through the various paradigms of health information technology (HIT) implementations. Though the role of HIT in reengineering the healthcare system has been well discussed and the benefits to improved processes and patient safety have been demonstrated, there is still much room for HIT outcomes-based research to demonstrate its value. HIT has also brought with it issues such as human computer interaction, technology-induced errors (e-iatrogenesis) and workaround issues, which have the potential to grow as innovations continue to be introduced into healthcare at rapid rates.

The Health informatics management (HIM) is the practice of obtaining, examining and preserving digital and traditional medical information vital to providing standard patient care. With the general computerization of health and medical records, paper-based records are being substituted with Electronic Health Records i.e. EHRs. The devices of health informatics and information technology are being increasingly utilized to initiate efficiency in information management practices in the health care sectors. Both hospital information systems i.e. "HIM" and health human resources information systems i.e. "HRHIS" are common applications of Health information management.

Biomedical informatics deals with science of information as applied to or studied in the context of biomedicine. Defining the object of study of informatics as data plus meaning clearly distinguishes the field from related fields, such as biostatistics, biomedicine and computer science which have different objects of study. The emphasis on data plus meaning also suggests that a biomedical informatics problem tends to be difficult when they deal with concepts like computational and formal definitions. In other words, Biomedical Informatics is the field that is concerned with the maximum use of information, usually aided by the use of technology and people to improve individual health, health care, public health, and biomedical research.

Biomedical technology is an application of engineering and technology principles to the domain of living or biological systems. Usually inclusion of the term biomedical means a principal prominence on problems related to human health and diseases, whereas terms like biotechnology can be medical, environmental or agricultural in application. Biomedical deals with the problems related to diseases and their treatment that involve broad range of activities from medical designed instruments with developed technology and methodology.

Computational Biology implies the development and application of data-analytical and theoretical methods, mathematical modeling and computational simulation techniques to the study of behavioral, biological and social systems. Computational biology is different from biological computation, which is a subfield of computer science and computer engineering using bioengineering and biology to build computers, but is related to bioinformatics tools,  which is a multidisciplinary science using computers to store and process biological data. Prior to the appearance of computational biology were unable to have access to large amounts of data. It becomes an important part of developing emerging technologies for the field of biology. Computational biology used to help sequence the human genome, create accurate models of the human brain and aid in modeling biological systems.

Translational medicine is an apace growing discipline in biomedical informatics research and directs to expedite the discovery of new diagnostic tools and treatments by using a multidisciplinary, highly synergetic; "bench-to-bedside" approach. In public health research, translational medicine is focused on ensuring that proven strategies for disease treatment and prevention are actually executed within the community. One usual description of translational medicine, first established by the Clinical Research Roundtable, highlights two roadblocks i.e., prominent areas in need to be improvised: First Translational block (T1) prevents basic research findings from being tested in a clinical setting; the second Translational block (T2) prevents proven interventions from becoming standard practice.

Digital healthcare or digital health is forthcoming discipline that involves the use of information and communication technologies to help address the health problems and provocations faced by patients. Digital health technology includes both hardware and software solutions and services. Generally, digital healthcare is concerned about the development of interconnected health systems so as to improve the use of smart devices, computational analysis techniques, computational technologies and communication media to aid healthcare professionals and patients manage illnesses, health risks and promote health. Digital Health or Digital healthcare is an integrative domain which involves many stakeholders, including clinicians, researchers and scientists with a broad range of proficiency in healthcare engineering, public health, social sciences, health economics and management.

Personalized medicine is a medical procedure that divides patients into different groups with medical decisions, practices, interventions and products being tailored to the individual patient placed on their concluded response or risk of disease. The terms like personalized medicine, precision medicine, stratified medicine and P4 medicine are used interchangeably. In personalized medicine, diagnostic testing is generally employed for choosing appropriate and optimal therapies based on the context of a patient’s genetic content or cellular analysis. The use of genetic informatics has played a key role in certain manner of personalized medicine (e.g. pharmacogenomics) and term was first coined in the context of genetics, though it has since broadened to encompass all sorts of personalization measures.

Health Informatics Research or Clinical Research Informatics (CRI) takes the core foundations, principles, and technologies related to Health Informatics and apply these to clinical research contexts. As such, CRI is a sub-discipline of Health Informatics, and interest and activities in CRI have increased greatly in recent years given the overwhelming problems associated with the explosive growth of clinical research data and information.

Healthcare Informatics 2016 provides great avenues for Investors seeking for investment opportunities and expanding their business horizons. Our conference is attended by participants from more than 40 countries and attracts an interesting combination of academic researchers, practitioners and individuals who are engaged in various aspects of innovations in Healthcare Informatics research and  Healthcare Policy thereby providing plenty of networking opportunities and newfound knowledge.

To explore more about business and investment opportunities write us at healthinformatics@conferenceseries.net