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Connecting Big Data, IOT & AI for Health Purpose

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There has been a huge noise for technologies such as Big Data, IoT & AI. These technologies have played an important role in the healthcare industry today. they will also continue to benefit the healthcare sector in the coming future.

These technologies, starting from the healthcare system to digital health leaders, provide solution patterns from the gathered data. Post this, the healthcare industry experts draw insights to make sense and accurately predict the future.

Here are a few stats which prove that how connecting Big Data, IoT & AI for health purpose has become the number one goal for medical institutes:

  • According to Accenture analysis, when technology with healthcare is combined, the key clinical health AI applications can potentially create $150 billion in annual savings for the US healthcare economy by 2026.

  • Statistic reports that the global AI in the healthcare market size was valued at USD 6.7 billion in 2020 and is expected to expand from 2021 to 2028 at a CAGR of 41.8%.

  • As per the reports by Deloitte, the Internet of Medical Things (IoMT) market is estimated to be worth $158.1 billion in 2022.

  • The Zion Market Research shows that the global big data analytics in the healthcare market is expected to generate USD 68.03 billion revenue by 2024, growing at a CAGR of around 19.34% between 2018 and 2024.

How the following technologies have changed life for different people in the healthcare industry:

Internet of Things

Patients: With the help of IoT, the survival of the people, especially the elder group, has largely improved, and this was possible due to the constant tracking and fascinating of the illness or the routine activities. In case of any change of activity, the concerned person or the family receives alert signals immediately.

Health Care Professionals

With the usage of medical devices embedded with IoT technology, doctors can easily track the overall performance of the patients. The best part is that doctors can track whether the patient needs immediate assistance or not. The doctors use the data collected from the devices embedded with IoT to provide premium medical care to the patients and accurately diagnose diseases at the right time.

Hospitals

The healthcare system uses multiple IoT-enabled devices to become digital health leaders, which helps them in checking the inventory control of the pharmacy, the temperature of the fridge freezer, real-time tracking of the oxygen pumps, nebulizers, wheelchairs, etc.

Big Data

Sorting of information: big data has played a huge role in the healthcare industry and is driving a whole revolutionary shift. Through big data, the hospitals and medical experts can collect, practice, and analyze the data derived from the various sources, originally complex.

Healthcare Records

There are plenty of sources for big data information, such as health care records in the hospital database. With data help, hospitals can now store huge volumes of data in electrical form, which is safe and recoverable. Big data also makes it easy to modify the existing records, which hospitals could use.

Strategic Decision Making

The usage of big data has been increasing big time and is used for various purposes. The large volume of data gives the provision to give medical assistance real-time, helps maintain the quality standards, medical experts can come up with better decisions based on strategy and backed by data, and seamless revenue management.

Artificial Intelligence

Sensible Judgements: The human brain can only work up to a limit and is restricted to execute a few tasks to some certain degree. However, now with the help of AI, hospitals have made problem judgments that do not involve errors.

Precision medicine: This is an emerging approach that aims to deliver the correct medicine to the right patient at the right time. Hence, the overall advancement in AI provides the relevant information which allows for the earlier diagnosis and treatment options that are precise. For example, with the help of AI, body scans have been shown to produce way more accurate results 10x faster than human radiologists.

Benefits of Connecting Big Data, IoT & AI for Health Purpose

Amongst the plenty of benefits of Connecting Big Data, IoT & AI for health purpose, here we have shared the three most relevant advantages:

Accuracy Rate on Point

The entire process at health care institutions has become software-driven, which means less human interaction and less scope for errors. This also means that the accuracy rates have gone high. Accuracy rates help in the early diagnosis of diseases and saving the lives of the patients.

Predictive Analysis

Analysis that looks at the big massive data and is based on the outcomes can predict future events accurately. Further, when AI gets added to the devices, it becomes easier to detect the possible errors and misfortune right in advance.

Increased Efficiency of Operations

Accurate forecasts and estimates provide detailed insights about timing and costs, which is a very time-consuming task. However, with the help of this solid trio technology, the data got systemized and escalated the overall levels of proficiency.

Conclusion:

Health care industries have been welcoming these technologies with open arms to develop a future that is smart and automated. 

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Source: https://datafloq.com/read/connecting-big-data-iot-ai-health-purpose/15234

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