Data and AI drive in Health care

Data and AI drive in Health care

There are massive transformations in health care systems with the current and greatest phenomenon being data. Big data enhances accountability, quality, efficiency, and innovation. This has led to the development of artificial intelligence (AI) and machine learning (ML) techniques to assist in data analysis into more useful applications such as disease diagnosis. AI utilizes a machine with human capabilities in activities such as speech recognition, planning, and problem-solving. Today, data is a powerful driving force in health care. Big data involves extremely large data sets that can be analyzed to reveal trends, patterns, and associations in relation to human behavior and interactions.

Data and AI have an impact on modern life including entertainment, commerce, and health care. Relevant data can be used to provide detailed personal profiling important for behavioral understanding and targeting, moreover, for predicting health care trends. It is true that AI can provide substantial improvements in all areas of health care from diagnostic to treatment. It facilitates and enhances human work, although, it cannot replace physician’s and other healthcare professional’s work.

The technology-driven change has had a major shift this year due to the coronavirus pandemic especially through the internet of change. AI has had applications across medicine, the development of vaccines, social care, as well as environmental health. It is expected that AI will continue playing out in the years to come as new vaccines and treatments provide hope in the fight against diseases. AI provides room for innovation as witnessed recently in the fight against coronavirus pandemic.

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Data and computing have become essential and the tech-driven innovations to bring about improved safety measures and interventions. Managers can easily assess their teams work and progress. In addition, patients can receive the same level of care at home as a patient would from a doctor’s visit. Researchers can also use genomics and gene editing to make advances in treatment. Data collected from health services including devices or internet activities can enable the health care provider in diagnosis and interventions. In addition, big data research application is a powerful tool that can be used to promote health care improvement.

AI increases efficiency and can take up routine tasks, therefore, reduce the time spent on cumbersome tasks and warns about signs of trouble. AI enhances and facilitates the improvement of health care systems in terms of accuracy, productivity, and workflow. It can support health care personnel with administrative workflow, medical documentation, and patient outreach. This promotes the ability to cure diseases, ensure wellness, and prevent diseases. The increase in the use of big data offers a preview and promise in medicine as well as biomedical research including clinical decisions. As a result, physicians need to acquire basic knowledge of working with AI to make a step in the development and interpretation of results of clinical trials and in conducting research. There are a lot of potentials and we remain optimistic that AI will transform health care delivery. It will make it easier to collect, analyze, and understand data even when data is massive or complex.

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References

Bohr, A., & Memarzadeh, K. (2020). The rise of artificial intelligence in healthcare applications. Artificial Intelligence in Healthcare, 25–60. https://doi.org/10.1016/B978-0-12-818438-7.00002-2

Meiliana, A., Dewi, N. M., & Wijaya, A. (2019, August 1). (PDF) Artificial intelligent in healthcare. ResearchGate. https://www.researchgate.net/publication/334845867_Artificial_Intelligent_in_Healthcare

Marr, B. (2020, November 23). Forbes. https://www.forbes.com/sites/bernardmarr/2020/11/23/the-5-biggest-healthcare-trends-in-2021-everyone-should-be-ready-for-today/?sh=3f8961521c01