Future of Informatics
The recent surge in the adoption of personal computing technology and access to Internet services has had far-reaching implications on informatics in the last ten years. In essence, there has been massive evolution on informatics and data management not only in healthcare but also in other organizational approaches. Developments such as telemedicine, patient-generated health data, social media platforms, smartphone/computer technology alongside comprehensive research in human-computer interaction portray substantial change in informatics. There are countless emerging technologies that impact health informatics including consumer health informatics, nano-medicine, and modern devices whose influences are far-reaching worldwide.
Consumer Health Informatics
Over the recent years, there has been a rapid growth of focus on quality healthcare frameworks to improve universal access. According to Lai et al. (2017), the consumer health informatics is a thematic area of concern among scientists and physicians worldwide. Some of the key developments in this sector over the last ten years include mobile technology – m-health, human computer interactions, involving telemedicine, and other approaches to data management. M-health entails a number of practices such as the use of smartphones and wearable devices – smart watches, sensors, and tablets. These tools have transformed the collection, integration, and interpretation of data to manage different human conditions in populations worldwide.
Nano-Medicine and Computing Informatics
Nano-medicine is one of the world’s leading mechanisms of collecting large complex array of data, integrating and clustering them for laboratory decision-making purposes. Essentially, it has become one of the most influential advancements in the management of terminal illnesses such as cancer and diabetes. Primarily, the gadgets use technology elements to examine conditions and deliver drugs to the patients (Kaminski, 2019). Similarly, computing techniques adopted with such system enhances the availability of private data to the patients and enable sustained monitoring of medical efficacy alongside quality standards based on evidence.
Research Prediction and the Future of Informatics
Research predicts that technology will become a central component in data management. With the advancements such as robots, cloud computing, and bio-printing, alongside the use of modern machines, the future of data management looks promising. Concurrently, the nursing informatics sector may become very competitive as different organizations adopt quality care framework. Although countless organizations have adopted the use of computer technology in data management, the surge in artificial intelligence may become of the most endearing global threat to hands-on labor experts. Over time, societies will have to adopt new ways of consulting doctors virtually. The current pandemic has triggered many facilities to consider operating on virtual means to minimize contacts and the subsequent spread of the virus across generations. Such approaches may become the new tactic in organizations as technology takes over industries. According to Srivastava et al. (2017), big data technology seems to be an unavoidable future of informatics in almost all sectors. Consequently, there is a need to understand the use of technology for sustainable development worldwide.
Succinctly, I foresee numerous changes in informatics coupled with a paradigm shift in the culture of operation among physicians. These changes will occur courtesy of the drastic developments in human innovation and creativity in technology. The emerging research on human interaction with computer will further fuel the desire to have paperless and meticulous procedures in data handling and patient treatments. Some of the most prominent aspects of these movements will involve the need to promote self-management structures in nursing systems.
References
Kaminski, J. (2019). Informatics trends to watch in 2020. Canadian Journal of Nursing Informatics, 14(4), 1-10.
Lai, A. M., Hsueh, P. Y., Choi, Y. K., & Austin, R. R. (2017). Present and future trends in consumer health informatics and patient-generated health data. Yearbook of Medical Informatics, 26(1), 152.
Srivastava, S., Soman, S., Rai, A., & Srivastava, P. K. (2017). Deep learning for health informatics: Recent trends and future directions. In 2017 International Conference on Advances in Computing, Communications and Informatics (ICACCI) (pp. 1665-1670). IEEE.