Call for Abstract

4th International Conference on Biomedical and Health Informatics, will be organized around the theme “Improving Patients Health Outcomes through NEXTGEN Health Innovations ”

Healthcare Informatics 2017 is comprised of keynote and speakers sessions on latest cutting edge research designed to offer comprehensive global discussions that address current issues in Healthcare Informatics 2017

Submit your abstract to any of the mentioned tracks.

Register now for the conference by choosing an appropriate package suitable to you.

Health communication strategies and healthcare informatics used to improve population health outcomes and health care quality, and to achieve health equity. Ideas about health and behaviors are shaped by the communication, information, and technology that people interact with every day. Health communication and health information technology (IT) are central to health care, public health, and the way our society views health. These processes make up the context and the ways professionals and the public search for, understand, and use health information, significantly impacting their health decisions and actions

  • Track 1-1Healthcare Informatics Future
  • Track 1-2Healthcare Informatics Development
  • Track 1-3Healthcare Informatics Functions
  • Track 1-4Healthcare Informatics Financial applications
  • Track 1-5Healthcare Informatics Alternative medicine
  • Track 1-6Healthcare Informatics Flu
  • Track 1-7Healthcare Informatics and Medical Technology
  • Track 1-8Healthcare Informatics USA
  • Track 1-9Healthcare Informatics Chicago
  • Track 1-10Healthcare Informatics Epidemiology
  • Track 1-11Healthcare Informatics Tools
  • Track 1-12Healthcare Informatics Quality
  • Track 1-13Healthcare Informatics Advance Practices
  • Track 1-14Healthcare Informatics Trends
  • Track 1-15 Healthcare Informatics Emerging Techology
  • Track 1-16Healthcare Informatics Issues

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.

  • Track 2-1Nutrition Informatics
  • Track 2-2Clinical Data Warehouses
  • Track 2-3Clinical Research Informatics
  • Track 2-4Clinical Informatics Factors
  • Track 2-5Clinical Informatics Applications
  • Track 2-6Medical 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.

  • Track 3-1Nursing Informatics Research
  • Track 3-2Nursing Informatics Practice
  • Track 3-3Nursing Informatics Methodology
  • Track 3-4Nursing Informatics Management
  • Track 3-5Nursing Informatics Implementation
  • Track 3-6E-Health and Nursing Informatics

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.

  • Track 4-1Geographical Health Informatics
  • Track 4-2Public Health Informatics Types
  • Track 4-3Consumer Health Informatics
  • Track 4-4Wearable Health Informatics

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.

  • Track 5-1Neuro-Informatics
  • Track 5-2Translational Bioinformatics Metagenomics
  • Track 5-3Translational Bioinformatics Biological networks
  • Track 5-4Translational Bioinformatics Analysis
  • Track 5-5Translational Bioinformatics Medicine
  • Track 5-6Translational bioinformatics Applications
  • Track 5-7Translational and Integrative bioinformatics

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.

  • Track 6-1Big Data Systems
  • Track 6-2Big data Analytics
  • Track 6-3Big Data Experiences
  • Track 6-4Big data Medical Devices
  • Track 6-5Big Data Medical Records
  • Track 6-6Big data Processing

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.

  • Track 7-1Systems biology
  • Track 7-2Genomics, proteomics and metabolomics
  • Track 7-3Genome-wide association studies
  • Track 7-4Drug target discovery and personalized medicine
  • Track 7-5Neuroscience and neuroinformatics
  • Track 7-6Electronic patient records
  • Track 7-7Patient monitoring

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.

  • Track 8-1Biomedical science
  • Track 8-2Biomedical research
  • Track 8-3Biomedical engineering
  • Track 8-4Bioengineering
  • Track 8-5Biotechnology
  • Track 8-6Cloning
  • Track 8-7Therapeutic cloning

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.

  • Track 9-1Computational bio modeling
  • Track 9-2Computational genomics
  • Track 9-3Computational neuroscience
  • Track 9-4Computational pharmacology
  • Track 9-5Computational evolutionary biology
  • Track 9-6Cancer computational biology

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.

  • Track 10-1Translational Bioinformatics Metagenomics
  • Track 10-2Translational Bioinformatics Biological networks
  • Track 10-3Translational Bioinformatics Analysis
  • Track 10-4Translational Bioinformatics Medicine
  • Track 10-5Translational bioinformatics Applications
  • Track 10-6Translational and Integrative bioinformatics

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.

  • Track 11-1Decision Support Systems
  • Track 11-2Wearable Health Technologies
  • Track 11-3Electronic Health Records and Standards
  • Track 11-4e-Health for Public Health
  • Track 11-5Software Systems in Medicine
  • Track 11-6Mobile Technologies for Healthcare Applications
  • Track 11-7Practice-based Research Methods for Healthcare IT

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.

  • Track 12-1Metabolomics Personalized Medicine
  • Track 12-2Non-genomics Personalized Medicine
  • Track 12-3Personalized Biological Therapies
  • Track 12-4Molecular Diagnostics in Personalized Medicine
  • Track 12-5Biomarkers
  • Track 12-6Pharmacogenetics
  • Track 12-7Pharmacogenomics
  • Track 12-8Pharmacoproteomics

Neuroinformatics is a research field concerned with the organization of neuroscience data by the application of computational models and analytical tools. These areas of research are important for the integration and analysis of increasingly large-volume, high-dimensional, and fine-grain experimental data. Neuroinformaticians provide computational tools, mathematical models, and create interoperable databases for clinicians and research scientists. Neuroscience is a heterogeneous field, consisting of many and various sub-disciplines (e.g., Cognitive Psychology, Behavioral Neuroscience, and Behavioral Genetics). In order for our understanding of the brain to continue to deepen, it is necessary that these sub-disciplines are able to share data and findings in a meaningful way; Neuroinformaticians facilitate this.

  • Track 13-1Computational Neuroscience
  • Track 13-2Neurotechnology
  • Track 13-3Brain Computer Interfaces
  • Track 13-4Electrophysiology
  • Track 13-5Neuroscience Imaging
  • Track 13-6Neurological Diseases
  • Track 13-7Molecular Biology

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 [email protected]