Data Science and Artificial Intelligence: The Life-Saving Technology That Will Transform Healthcare using actionable insights

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Artificial Intelligence is called the new nervous system of the healthcare domain. Application of Artificial Intelligence in Health information comprises of training databases for health data, medical data exchange clinical decision support system, creation, and use of knowledge. Medical data and healthcare statistics have now evolved as a separate domain called Health Informatics. Technology aids to achieve healthcare goals and improve the accessibility of healthcare information. This paper provides insights into the role of artificial intelligence and data science for developing intelligent health informatics systems, trends of advancing technologies such as machine learning, big data analytics.

The 21st century has witnessed the transformation in the field of medical science. Health care organizations have adopted evolving technologies. The emerging use of Artificial Intelligence in the health care domain can be understood as a collection of technologies that enables machines Proceedings. Artificial Intelligence has the potential to perform administrative functions and is being used in research and training purposes as well. The Application of Artificial Intelligence in healthcare is categorized into several broad categories, i.e., Descriptive, Predictive, and Prescriptive. The subcategories include support for physicians, automation of clinical documentation, image analysis, administrative workflow assistance, virtual observation, and patient outreach.

The issue of information overload, which is being faced by healthcare professionals, is addressed by artificial intelligence. Machine learning is employed to look into high volumes of healthcare data. The phenomenon is of how information is analyzed known as ‘Filter Failure.’ The primary cause for which is inadequate information retrieval systems leading to difficulty identifying the relevant information resources. Artificial intelligence prevents relapse of data by following up on cases and making recommendations. It can predict the impact of a patient’s genetic makeup on illness or reactions to medicine.

The availability and access to high quality are essential factors in the development of artificial intelligence applications in health care. Artificial Intelligence algorithms are based on high-quality training sets for medical image analysis at the level of medical capability captured in their training data. The main goal is to accelerate the discovery of novel disease correlations
and to help match people to the best treatments based on their genetic profiles. Research databases should be created to aid the development of artificial intelligence applications. The database can support incentives on sharing the health data followed by new paradigms for assessment of artificial intelligence algorithms, data ownership, labeled data at several levels. Strategies, in order to fill essential data gaps that need to be identified.

Implementation of artificially intelligent tools and technologies requires several stakeholders, which include practitioners, investors, research and development bodies, and
government bodies. Each stakeholder has a distinct role to play in order to successfully
implement the tools and techniques in the field of health information management.

Artificial Intelligence supports the creation and use of clinical knowledge, reasoning with
clinical knowledge, diagnostic assistance, therapy critique and planning
and improves the efficiency of Health Care Delivery Processes. The primary goals of health informatics include the availability of software applications and medical information anywhere and anytime these goals led to the introduction of an electronic healthcare computing concept.

Technology and informatics are an aid to achieve healthcare goals. Informatics serves as
the bridge between big data. Utilization of informatics and big data improves healthcare by
promoting greater accessibility of healthcare information. That further results in a clinical
breakthrough and facilitate progressively deeper insights which lead to proactive care,
reduced future risk and streamlined work processes. Artificial Intelligence plays a role in
transformative changes in health and healthcare both in and out of the clinical setting. It is
shaping the future of public health, community health, and healthcare delivery from a personal
level to a system level.

Srinath Vallakirthy is a Health Care Data Analytics leader who has worked extensively building high-performing teams for various organizations and has provided consulting to many fortune 500 clients. At Texas Health Resources, he focuses on helping his customers realize the value of data analytics to solve priority business problems especially in-Patient Care Safety and Improvements.

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