Health care providers are continuously striving to find viable ways and means that would enable them to offer the best services that would improve the general health of people through effective treatment and prevention measures. New trends are often emerging in the health care industry, and they have brought significant impacts on the various mechanisms of managing and using different information on patients’ healthcare. This paper will examine one of the recent trends, Artificial Intelligence (AI), and analyze how it impacts health care informatics. The paper will critically examine the extent of the impact, whether long term or short term, positive or negative, providing reasons for every argument fronted.
The boundary of health informatics is being enlarged significantly by the new trend of the usage of Artificial Intelligence in health care. Though health informatics has experienced growth in the healthcare sector, it has not been able to attain its maximum profit due to the lack of the needed support factors (Jiang et al., 2017). With the emergence of Artificial Intelligence, many functionalities of the health informatics shall be significantly improved. For instance, the collection of data shall be much improved and get modernized. Data is an essential aspect spent in achieving useful health informatics; hence, any factor that enhances data collection positively affects the whole process. Collecting patient's information is a tedious and sensitive process due to its sensitive nature. Artificial Intelligence has been identified as a suitable solution to the challenge long experienced in the patients' data collection.
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Additionally, Artificial Intelligence has been of positive impact in the process of organizing and storing data. After collection of the patient's data, the proceeding process must also be effectively done for the whole health informatics to be considered positive. Artificial Intelligence has the capability of improving the organization and storage of both personal and population data (Beam & Kohane, 2016). Through artificial Intelligence, the health professionals can be able to store sensitive patient's information that would otherwise be compromised when stored through other alternative means. Again, analysis of data and information has been enhanced by the recent adoption of the usage of Artificial Intelligence in health informatics. Indeed, the influence brought by artificial Intelligence has improved the decision-making process, which relies on analyzed data from health informatics.
Artificial Intelligence has long term positive impacts on health informatics and the general health care provision. According to Holzinger (2016), health informatics has for an extended period being subjected to the challenge of health information overload and Artificial Intelligence has fronted techniques that have been of great help to the informatics. Notably, Artificial Intelligence is not only limited to the present but has a significant impact on the future of the health informatics. The future of the healthcare systems lies on the contribution of Artificial Intelligence in shaping the access to reliable information by the patients and also the creation of a platform where both the health caregivers and the patients can effectively interact for better service delivery.
In conclusion, Artificial Intelligence has brought positive long term impacts on health informatics. Both the patients and the caregivers have continually benefited from the improved health informatics brought by Artificial Intelligence through the secure storage and management of medical information. Even though challenges may be experienced with the upcoming of Artificial Intelligence, it should be fully embraced to achieve better health informatics and general healthcare.
References
Beam, A. L., & Kohane, I. S. (2016). Translating artificial Intelligence into clinical care. Jama , 316(22), 2368-2369.
Holzinger, A. (2016). Interactive machine learning for health informatics: when do we need the human-in-the-loop?. Brain Informatics , 3(2), 119-131.
Jiang, F., Jiang, Y., Zhi, H., Dong, Y., Li, H., Ma, S., ... & Wang, Y. (2017). Artificial Intelligence in healthcare: past, present and future. Stroke and Vascular Neurology , 2(4), 230-243.
