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In Data Management

Three ways metadata management is transforming the healthcare industry

06/10/2022 2 Mins Read
Metadata Management
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We cannot expect doctors to remember every detail about each patient throughout their careers and diagnose illnesses instantly as it is not conceivable. However, if the doctor has instant access to all of the data, he will be able to provide personalized care for all of his patients and eliminate the need for new tests. Healthcare data must be appropriately classified and safeguarded to enable easy data access. A solid Metadata management solution is required to achieve these goals.

Healthcare metadata management ensures that the data is easily integrated, shared, linked, analyzed, and maintained to foster more innovation in the healthcare industry. Whether you are a doctor, nurse, or CEO, metadata management solutions can significantly impact patients’ lives.

How can metadata management make a difference in the healthcare industry?

Whenever someone utters the word data, our mind usually jumps to numbers that can improve marketing strategies, attract customers, and boost revenue. However, have you ever thought of data as a lifesaver?

According to WHO, 3,03,000 women die during labor and birth each year, 2.7 million babies die within the first one month, and 2.6 million babies are stillborn. If we can pinpoint where, when, and to whom these incidents occur, it will be much easier to conduct research and improve maternal health.

Healthcare metadata management will do the trick! It helps you search and find relevant information across unstructured data like X-rays, tissue samples, and other images. Metadata management solution gives a clear understanding of every data in the hospital industry.

Healthcare sectors are trying to bring in more innovation and improve the success rate of clinical trials. With a robust metadata management solution, doctors can quickly identify the factors contributing to a trial’s success or failure by tracking down the data to its root. It enables you to understand where and when various factors such as medications, recommended therapy, or food habits contributed to the trial’s outcome, reducing the likelihood of the same error occurring twice. 

Manually determining the reason will take a significant amount of resources and time from your business intelligence team. An AI-powered metadata management solution can help you with quick and accurate conclusions while enabling transparency between teams. 

Let us take a look at the healthcare metadata management solution use cases.

To continue reading, head to Hackernoon where this article is originally published.

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Author Abinaya Sundararajan

Abinaya is a content marketer who also is a passionate reader. She enjoys traveling and trying new cuisines. She is a firm believer that the universe provides everything for those who genuinely desire it.

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