Predictive Analytics key to healthcare model in India

In 2015, Hollywood actress Angelina Jolie created a stir in the medical industry when she went public with her double-mastectomy (breast removal). She was carrying a mutated gene BRCA1 which increases the chances of breast and ovarian cancer, a condition that killed her mother some years ago and also impacted her grandmother. It is believed that this condition affects the Ashkenazi Jewish Women, where 1 in 40 has this mutation and has higher precedence of both breast and ovarian cancer. While going public with her procedure is a boost in the arm of many women who felt empowered to take this decision, it was a giant leap for predictive analytics in healthcare.

Predictive analytics is a form of advanced analytics that helps predict the future state based on key parameters- historical data, statistical modeling, and machine learning. It has been used of late in areas like determining the right candidates for drug trials. One of the biggest reasons why the COVID-19 vaccine came up within a year of the pandemic was because of the advanced predictive analytics capability that was used by most vaccine manufacturers in identifying and then refining the perfect candidates. This branch of data science has huge implications in healthcare and in the rest of the article, we will discuss some of the implications and its uses.

The Indian healthcare system is already benefitting immensely from predictive analytics. 

Most major hospitals have been studying the clinical data and making decisions based on the diagnosis and prognosis of patients. As health outcomes are determined by multiple factors including genetics, family history, nutrition, physical activity, and mental health, hospitals have started using predictive analytics to understand which treatment modality will work best. 

Some of the key parameters being tracked include 

  • Length of stay – Using predictive analytics to reduce the length of stay and faster recovery
  • Re-admissions- Looking at patient data on readmissions and identifying patient attributes that require readmission 
  • Emergency admissions
  • Workflow at departments like radiology and pharmacy 

Please read the full article –

Dr. Vikram Venkateswaran

Management Thinker, Marketer, Healthcare Professional Communicator and Ideation exponent

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