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Evolution of technology in health


Evolution of technology in health

Technology in health has been evolving for a quarter of a century. The emergence and spread of the Internet during the same period was not random, and many developments in health care resulted from a core element with an Internet connection.
In pure scientific terms, computational neuroscience was not a science to study the functions of the brain, but for computer science. The approach to genome studies has evolved greatly thanks to computer-generated achievements. In addition, a wide range of medical imaging techniques (from ultrasound to MRI) are available today thanks to the unique growth in technology and the existing data center systems we are currently relying on.
How will IT use the health field in the future?
Last year, Arab Health highlighted the importance of a service-based health care model. It is an innovation that has resulted from the growing importance of technologies emerging from services, and benefits from global communication networks to build new business models. With the increase in the number of non-communicable diseases, such as diabetes and heart disease in the region, there is an unprecedented need to provide diagnostic health care in areas such as radiotherapy. But the cost of capital to secure equipment remains an important issue that needs to be addressed, especially in the Middle East, where many countries allocate modest budgets for health care.
GE Healthcare has already signed agreements with some healthcare organizations in the region, under which the company offers free radiotherapy equipment, but with the introduction of the "Charges for Use of Services" model. This new approach to dealing with investment in capital equipment has multiple advantages. For example, ministries of health can focus more on their basic administrative functions, less on health care per se while the supplier undertakes to maintain equipment and technologies and ensure that they are modern at all times. In addition, contemporary network-related systems can require any radiologist anywhere in the world to make the necessary diagnosis; diagnostic experience is no longer limited in the area where the patient lives.
It can not be disputed that the main themes are the service delivery model, contemporary specialization, and global communication.
Quantitative measurement of self
More theoretically, we individuals can support the evolution of IT innovation in health by adopting the concept of "quantitative measurement of self". This means that we must collect and analyze our vital indicators and biometric information through the use of health care equipment in both the professional and the consumer-wearable categories. This is the "quantification of self": a person with quantitative measurements can help to reach qualitative analysis.
We must collect all patient information related to heart rate, breathing, body temperature, etc., within the limits of privacy agreed upon.
For example, the analysis of massive data and cognitive intelligence in sports helps health scientists monitor the health patterns of athletes and find ways to improve their performance. These same analyzes can be applied to the general population, and then compared to diet, lifestyle, stress, etc., to try to determine which treatments they may need.
You must realize what we do not know
Interestingly, it is also necessary to collect information on measurements of the body that have not yet been identified. The reason is that science is constantly changing, and in some cases, areas of health that have been overlooked in the past require new studies.
But if we monitor a large amount of data on our bodies and store them - any more than we analyze them and store them instead - we have implied that these data are available when needed. These "massive data" will initially lack any structure, and will not play any specific role, until they are used.
In the long run, this partial personal information will help us understand the health status of the population at a comprehensive level in the market. Policymakers and health care providers will be able to predict patterns and trends in large segments of society.
Prevention is better than cure
The result of these developments in information technology is that we move from first-level treatment to prevention and detection as a second phase, that is, going back to pre-resort remedies, remedies and corrective measures.
In the future, an increasing number of public and private institutions will be analyzing existing data in existing health care records. Analyzing future health data will help us to chart the general trends in health care that can be applied to the general population and to detect any defect that may indicate new diseases.
In the very near future, your smartphone will be able to connect to the patented mobile chemical analyzer so that it can analyze the toxicity in the water you drink and the nutritional value of the food you eat.
Future scientists predict that the use of advances in new technologies in health care will increase human life expectancy to over 100 years. Is this your news? Of course, our future planet is expected to be healthier than it is today. But that does not mean we can ignore the need to eat nutritious grains, fiber, vitamins and exercise.
Let's drink together the cabbage juice and the pomegranate.
* Specialist in software development, project management and technology

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