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8th International Conference on Health Informatics & Telemedicine, will be organized around the theme “Improving Patients Health Outcomes through NEXTGEN Health Innovations ”

Health Informatics 2018 is comprised of keynote and speakers sessions on latest cutting edge research designed to offer comprehensive global discussions that address current issues in Health Informatics 2018

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 1-1Electronic health records
  • Track 1-2Electronic medical records
  • Track 1-3Healthcare Informatics Functions
  • Track 1-4Healthcare Informatics Development
  • Track 1-5Public health informatics
  • Track 1-6Healthcare services

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 2-1Medical Health development
  • Track 2-2Health intervention
  • Track 2-3Medical devices
  • Track 2-4Medical care
  • Track 2-5Disease management
  • Track 2-6Translational Bioinformatics

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 3-1Clinical research informatics
  • Track 3-2Clinician engagement
  • Track 3-3Clinical behavioral studies
  • Track 3-4Medications and devices
  • Track 3-5Clinical trails
  • Track 3-6Evidence-based medicine

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 4-1Advancement in Neuroscience
  • Track 4-2Neurological functions
  • Track 4-3Neurotechnology
  • Track 4-4Neurological diseases
  • Track 4-5Neuroscience Imaging
  • Track 4-6Neuroinformatics technology

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 5-1Development analysis
  • Track 5-2Clinical information
  • Track 5-3Cancer research
  • Track 5-4Clinical analyst
  • Track 5-5Nursing informatics
  • Track 5-6Pharmaceutical informatics

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 6-1Wearable Health Technologies
  • Track 6-2Tele health efficiency
  • Track 6-3Health indicators
  • Track 6-4Monitoring indicators
  • Track 6-5Wearable sensors
  • Track 6-6Data analytics

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.

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

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 8-1Health Care Service
  • Track 8-2Data integration in health informatics
  • Track 8-3Public health informatics
  • Track 8-4Health care data integration
  • Track 8-5Health care data management

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 9-1Telecommunication technology
  • Track 9-2Telemedicine
  • Track 9-3Telemonitoring
  • Track 9-4Individualized medicine
  • Track 9-5Public health services
  • Track 9-6Clinical health care
  • Track 9-7Health care management
  • Track 10-1Biomedical informatics
  • Track 10-2Monitoring technologies
  • Track 10-3Scientific discipline
  • Track 10-4Medical knowledge

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 11-1Nanotechnology
  • Track 11-2Computing issues to support healthcare
  • Track 11-3Pediatric ophthalmology
  • Track 11-4Cardiology
  • Track 11-5Telecardiology

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 12-1Diagnostic methods
  • Track 12-2Non-genomics Personalized Medicine
  • Track 12-3Clinical methods
  • Track 12-4Drug metabolism
  • Track 12-5Personalized Biological Therapies

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 13-1Decision Support Systems
  • Track 13-2Wearable Health Technologies
  • Track 13-3Applications of digital health
  • Track 13-4e-Health for Public Health
  • Track 13-5Software Systems in Medicine
  • Track 13-6Mobile Technologies for Healthcare Applications
  • Track 13-7Wireless Technology

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 14-1Practice-based Research Methods for Healthcare IT
  • Track 14-2Medical management
  • Track 14-3Knowledge management
  • Track 14-4Collaborative technologies
  • Track 14-5Computer communication networks

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.

  • Track 15-1Medical education
  • Track 15-2Online learnings
  • Track 15-3Remote intervention
  • Track 15-4Psychological intervention
  • Track 15-5Medical decision making
  • Track 15-6Medical record
  • Track 15-7Medical decision making

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]