How Data Analytics Can Revolutionize the Healthcare Industry?

 Data Analytics in Healthcare
                  Data Analytics in Healthcare

Data analytics in Healthcare can prove to be a boon for hospitals and health systems, if used the right way. In addition to focusing on facts, understanding the analytics discoveries can benefit healthcare institutions greatly by improving the management and quality of care. In the process of providing healthcare, institutions collect and store a large amount of patient data that includesinformation of admission, diagnosis, treatment and discharge. Analyzing such data can lead to improved care. Big data is taking every industry by storm and healthcare is no exception. Although a number of organizations have already begun making use of the big data, others need to implement the right infrastructure to generate useful insights. Let’s have a look at how the healthcare organizations can turn big data into strategic assets to deal more effectively with the ongoing challenges, improve operational efficiency and increase profitability.

  1. Analysis of Patient Records

Electronic health records of patients can be aggregated and analyzed for trends, which can ultimately help in reducing healthcare costs. Although there are concerns for data security and privacy under HIPAA regulations, a secured way can be figured out to aggregate and analyze patient data to improve the quality of care and reduce the cost.

2. Public Health Research

There’s a sea of data in the medical profession. Hospitals and medical offices do submit data about various medical conditions but without proper data analytics techniques these data hold no value. Using analytics, the raw data can be better transformed into insights and help in providing better healthcare.

3. Hospital Readmissions Reduction

High readmission rates, within 30 days of patient discharge, have led to a spike in hospital costs. Data analytics can be used for identifying the patients that are at-risk on the basis of past records and patient trends, so that necessary care can be provided and readmission rates can be reduced.

4. Trends in Hospital Care

Big data can be also useful in analyzing the trends in hospital care. For instance analyzing the medical instruments in a specific ward can help in identifying the possible infection trends. Also, analyzing one case of reducing post-operative staph infection can help in determining post-operative antibiotics that are more effective against infection.

5. Combating Medical Fraud

Insurance companies can use big data for detecting identity theft and medical fraud. Data analytics can be applied to speech-to-text records from calls for identifying potential fraudsters. The big data can also help in predicting which treatment plans are beneficial and are more likely to succeed.

6. Evidence Based Treatment

When patients are admitted, the doctors usually use the same series of tests for identifying the cause of symptoms. However, evidence based treatment uses a large database for matching the symptoms so that accurate diagnosis can be done faster and more efficiently. Analytics plays a major role in this by assimilating information from various sources and normalizing the data.

7. Streamlining Medical Practice

Healthcare industry is growing, and accommodating more physicians and patients is becoming more and more challenging. Big data can help in analyzing the procedures to streamline the workflow, improve patient satisfaction, reduce unnecessary testing etc.Data analytics can provide insights on how the procedures can be improved.












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