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International Conference on Digital Health , will be organized around the theme “An Innovative Bridging for Modern Healthcare”
Digital Health Conference 2019 is comprised of keynote and speakers sessions on latest cutting edge research designed to offer comprehensive global discussions that address current issues in Digital Health Conference 2019
Submit your abstract to any of the mentioned tracks.
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Due to advancement of healthcare technologies, a number of start-up Companies utilises digital and Internet-based health technologies to make behavioural and lifestyle changes in patients. A number of start-up Companies based on Digital Health Therapeutics, telehealth, Digital Pathology, Digital health, e Health, mHealth Companies are being promoted with their latest innovative methodologies that uses digital implements like mobile-devices, apps, sensors, etc to spur behavioural changes in patients.
In 2016, the global digital health market was at $179.6 billion, according to Transparency Market Research (TMR). Growth in this market is anticipated to rise at a CAGR of 13.4% between 2017 and 2025, reaching $536.6 billion by the end of 2025. Over the next few years, TMR says the market will be supported by technology advancements in the medical and healthcare infrastructure.
m-Health is defined as the medical and public health practice supported by mobile devices, such as mobile phones, patient monitoring devices, personal digital assistances and other wireless devices. mHealth is already being used to monitor a variety of conditions including heart disease, diabetes, autism, insomnia and asthma. The WHO/ITU programme aims to assist governments to use mobile components to reinforce their existing national health activities to prevent, manage, and treat non-communicable diseases (NCDs) and their risk factors.
- Reduction in health spending
- Healthy population
- Adoption of existing mHealth services
- Opportunities for Research and Development
- Demonstrates commitment to achieving NCD reduction targets
Global mHealth Market was valued at $10.5 billion in 2014 and is expected to grow at a CAGR of 33.5% during 2015-2020. The mHealth market is in its nascent stage and is expected to yield significant revenues with increasing awareness and favorable regulatory impositions specific to the quality and feasibility of mobile-based medical devices. Penetration of mobile phones in healthcare segment has had a significant impact on the overall healthcare industry.
- Track 2-1mHealth Applications
- Track 2-2Technology and market
- Track 2-3Health outcomes
e- health encompasses much of medical informatics but tends to prioritise the delivery of clinical information, care and services rather than the functions of technologies. Throughout many western national healthcare services, extensive e-Health infrastructures and systems are now viewed as central to the future provision of safe, efficient, high quality, citizen-centred health care. e- Health market growth is attributed to the transition of the healthcare industry into the digital healthcare system for patient’s management and analysis of health.
The global electronic health (e Health) market is growing at a swift pace and is projected to witness robust growth in the coming years. Technological developments, innovations, and the use of electronic devices are augmenting the global e Health market. The increasing adoption of these systems by medical practitioners across the globe is anticipated to offer promising opportunities for prominent players in the market. Global e Health market is expected to reach USD 308.0 billion by 2022, according to a new report by Grand View Research Inc. The transition of the healthcare industry into digital healthcare system for management and analysis of patient health is expected to be the most vital driver of the market.
- Track 3-1e-Health technology
- Track 3-2e-health and Telemedicine
- Track 3-3e-health applications
- Track 4-1Artificial Intelligence
- Track 4-2Sleep Tech
- Track 4-3Psycological Technology
Medical informatics means the application of computers, communications and information technology and systems in all fields of medicine - medical care, medical education and medical research. The definition of Medical Informatics is a new, exciting and evolving field. New specialties and careers are now possible in this field. The expectation is that information technology will improve medical quality, patient safety, educational resources and patient-physician communication, while decreasing cost. Applied Medical Informatics studies the dispensation of medical statistics, the potent, management of information using computer technology, and the impact of such methods on medical research, education.
Telemedicine is the use of telecommunication and information technologies to provide clinical and medical health care at a distance. It helps to eliminate distance barriers and can improve access to clinical services that would often not be consistently available in distant rural communities. It is also used to save lives in critical care and emergency situations. Although there were distant precursors to telemedicine, it is essentially a product of 20th century telecommunication and information technologies. These technologies permit communications between patient and medical staff with both convenience and loyalty, as well as the transmission of medical, imaging and health informatics data from one site to another. It is a process for accurate data collection in digital format and an electronic medical record for data incorporation .Remote transmission Telemedicine is a system for automatically flagging and providing feedback for outlier data.
- Track 5-1Driving Analytics Based on Medical Data
- Track 5-2A Game-Changing Capability: Telemedicine.
- Track 5-3Telepharmacy
- Track 5-4Treatment
- Track 5-5Computational health informatics
- Track 5-6Benefits and drawbacks
Preclinical development envelops the exercises that connection sedate disclosure in the lab to start of human clinical trials. Preclinical investigations can be intended to distinguish a lead hopeful from a few hits; build up the best methodology for new medication scale-up; select the best formulation; decide the course, recurrence, and span of introduction; and at last help the proposed clinical trial plan. Simultaneous preclinical development exercises incorporate building up a clinical arrangement and setting up the new medication item, including related documentation to meet stringent FDA Great Assembling Practices and administrative rules.
Reverse pharmacology includes drug screening deals with reverse pharmacology and forward pharmacology are two approaches to drug discovery. Target based drug discovery is the process through which potential new medicines are identified.
The global market for drug discovery technologies reached nearly $39.5 billion and $46.5 billion in 2013 and 2014, respectively. This market is expected to grow at a compound annual growth rate (CAGR) of 11.3% to nearly $79.5 billion for the period 2014-2019.
- Track 6-1Pharmacovigilance and Drug Safety
- Track 6-2Drug Therapeutics
- Track 6-3Digital Drugs
- Track 6-4Pharmaceutical and Biomedical Analysis
- Track 6-5Medical, Clinical & Computational toxicology
Digital Health Technology are providing patients suffering from diabetes with easier ways of keeping track of the blood-sugar levels and other self-supported data including physical activities. Data uploaded into the cloud, helps the physicians to access them and take care of the patient. Clinical studies are beginning to access the efficiency of these tools and it is anticipated that these tools will continue to evolve for the betterment of the patients.
The market for digital health is gaining remarkable momentum across the world, thanks to the surge in the prevalence of diabetes and various other chronic diseases. With the increasing number of government initiatives and the rising uptake of information technology in the area of medical and healthcare, the market is anticipated to witness significant growth over the next few years. In 2016, the global digital health market was at US$179.6 bn. According to Transparency Market Research (TMR), the opportunity in this market is anticipated to rise at a CAGR of 13.40% between 2017 and 2025 and increase to US$536.6 by the end of 2025. The technological advancement in the medical and healthcare infrastructure is also projected to support this market over the next few years.
- Track 7-1Digital therapy of diabetes
- Track 7-2Diabetes management
- Track 7-3Uses
- Track 7-4Challenges and Risks
- Track 8-1Cancer Therapeutics
- Track 8-2Cell Based Therapeutics
- Track 8-3Drug Therapy
- Track 8-4Immunotherapeutics
- Track 8-5Immunotherapeutics
- Track 8-6Stem Cell Therapeutics
Clinical Trial is a part of clinical research that follows a regulated protocol or a plan of action. They are primarily performed to get data on safety and efficacy of the new developed drug , this data is mandatory for further approval of the drug and to bring it to the market.
The clinical trials market has been estimated to reach USD 14.2 billion in 2016 and is projected to reach around USD 22 billion by the year 2021, growing at a CAGR (compounded annual growth rate) of 7.5%, during the forecast period 2016 to 2021. Key drivers impacting the market growth are globalization of clinical trials, development of new treatments such as personalized medicine, augmenting evolution in technology, and boosting demand for CROs to conduct clinical trials. Clinical studies can be sponsored, or funded, by pharmaceutical companies, academic medical centers, voluntary groups, and other organizations, in addition to Federal agencies such as the National Institutes of Health, the U.S. Department of Defense, and the U.S. Department of Veterans Affairs. Doctors, other health care providers, and other individuals can also sponsor clinical research.
- Track 9-1"Research and Trials on AIDS / Cancer / Diabetes "
- Track 9-2Trials of devices
- Track 9-3Clinical Pharmacology & Biopharmaceutics
- Track 9-4Clinical Trials on different Diseases
- Track 9-5Globalization of Clinical Trials
We know that healthcare is on the verge of a paradigm shift due to the appearance of technologies such as artificial intelligence, health sensors or robotics . New kinds of global markets for healthcare and healthcare data are emerging, and responsibility for health and well-being seems to be devolving onto the data-equipped individual. Coupled to political claims of digital ‘revolutions’ and ‘disruptions’ in healthcare policy, the digital transformation of healthcare also marks a shift in the terms on which political economic and ethical decisions about health are made in the context of the sustainability of national health systems, whether by a patient, a clinician or a commissioner. Digital technologies promise smart, convenient and personalisable servicing of individual healthcare needs, but at the same time they threaten significant changes around the ethics of privacy, around evidence-based ‘data driven’ policy formation and around organisational reform affecting patients and medical professionals, amongst other things.
- Track 10-1Governance approaches
- Track 10-2Digital health and the biopolitics of the Quantified Self
- Track 10-3"Ethical, social, and political challenges of artificial intelligence in health"
Nowadays, it goes without saying that the use of information technology is important, even necessary, in the field of life sciences.
The amount of information that needs to be processed, analysed, stored, and represented is constantly growing. These data must then be integrated, compared, and viewed alongside other data to further knowledge and generate added value. Even beyond the issues presented by managing data and the effort required to process this information, the challenge is to improve the capacity of researchers to develop new hypotheses, produce innovative models, and test them.
Bio-Informatics and Information Management professionals are experts in managing the collection, storage, retrieval, analysis and interpretation of health care data and information. To provide the highest quality health care delivery, health care information is used not only for patient care, but also for medical legal issues, reimbursement, research, planning and evaluation. Opportunities for employment are found in a variety of settings, including hospitals, clinics, rehabilitation centers, home health agencies, health maintenance organizations, insurance agencies, governmental agencies, educational institutions and research centers.
- Track 11-1Digital tools for Health Products
- Track 11-2Development of Health Care Services
- Track 11-3Consumer Health Informatics
- Track 11-4Public Health Informatics
- Track 11-5Management
- Track 11-6 Biomedical Informatics
Precision medicine makes use of variations in consumers genes, environment, and lifestyle to guide the prevention, diagnosis, and treatment of diseases. The potential for precision medicine to radically transform the healthcare industry is driving interest among a range of companies and government organizations. . Firms are flocking to develop the tools needed to extract, store, share, and analyze genomic data. The global precision medicine market is expected to grow at an annualized rate of 12% over 7 years to reach $88.6 billion by 2022, up from $39 billion in 2015, according to Market Research Future.
- Track 12-1Pharmacogenetics
- Track 12-2Benefits and drawbacks
- Track 12-3Role of FDA
- Track 12-4Cancer Genomics and Precision Medicine
- Track 12-5Data Management
Sensors play an ever more important role in medical technology with the aim of making medical devices even more effective and safer, while simplifying their operation. Made possible by advances in sensor and interconnect technologies, healthcare can now include collecting patient data dynamically to foster preventive care, diagnostics, and even measure https://digitalhealth.conferenceseries.com/registration.phptreatment results. Automation and real-time aspects reduce errors and improve quality and efficiency. Today, wireless sensor-based systems gather medical data that was never before accessible and deliver care directly to patients.
Wearables as medical technologies are becoming an integral part of personal analytics, measuring physical status, recording physiological parameters, or informing schedule for medication. These continuously evolving technology platforms do not only promise to help people pursue a healthier life style, but also provide continuous medical data for actively tracking metabolic status, diagnosis, and treatment. Advances in the miniaturization of flexible electronics, electrochemical biosensors, microfluidics, and artificial intelligence algorithms have led to wearable devices that can generate real time medical data within the Internet of things. These flexible devices can be configured to make conformal contact with epidermal, ocular, intracochlear, and dental interfaces to collect biochemical or electrophysiological signals.
- Track 13-1Long-range Bluetooth
- Track 13-2Prevention through digital phenotyping
- Track 13-3Health Wearable Devices
- Track 13-4Wearable Sensors and Digital Platforms in Health
Nowadays, Digital Healthcare is getting advanced and it bridges the gap between traditional and modern healthcare. Several healthcare technologies have been developed for the improvement of womens health also. One such includes Femtech that however looks after women health and has been successful in achieving its goal by procurement of feminine diseases.
- Track 14-1Femtech
Big Data and analytics is an integral part of digital transformation .Many organisations have undergone a digital transformation to adapt the ever-changing digital landscape. They are achieving transformation through their control over Big Data and Analytics, and by using Machine Learning technology. Big data offers organisations the chance to learn more than what has ever been possible about what their customers want. Many health plans still rely on legacy technologies to power their business. This makes them vulnerable to customer-centric, tech-enabled newcomers. But IT leaders have a window of opportunity to unlock system data, enabling care orchestration.
- Track 15-1