Precision Medicine

Achieve personalization and precision with AI and machine learning

Precision Medicine

Over the past few years, healthcare industry has focused on solving issues using generalized medication to cure maximum number of patients with the similar set of symptoms. The method of medication has remained the same until now, first step would be to provide the generalized medicine, then the healthcare practitioners will collect empirical evidence to know the effectiveness of the cure, and if it works, the approach continues.

Data and machine learning are set to revolutionize the way patients are treated by bringing a personalized approach to medication. With these techniques, the ‘trial-and-error’ or experience-based approach will be replaced by evidence-based medicine, which can be personalized for each and every patient. This concept of precision medicine is an evolving approach that considers individual variability in lifestyle and genes for treatment and prevention of diseases. It provides an ability to predict more accurately which medicines will work best for different groups of people.

Personalized medicine can be the new norm with empirical data

Personalized medicine or precision medicine will be implemented after analyzing patient’s health history, genetic data, preferences, and environmental exposure for diagnosis of illness or for further treatment. Healthcare organizations deal with gigantic amount of patient data and AI algorithms can be employed to scrutinize this data to detect patterns and factors such as genetic history to determine whether the treatment will work well for them. It also enables practitioners to predict what diseases are likely to occur to any particular person in the future and provides them the medications to avoid them.

Benefits of inculating machine intelligence capabilities of data analytics services in healthcare:

  • Reduced risk for patients
  • Reduce emergency situations
  • Improve clinical performance and reduce operational costs
  • Decrease the number of readmissions and wastage of hospital resources
  • Devise the best acquisition marketing strategy with available data insights
  • Plan effective strategies to improve the healthcare systems and compliance policies
  • Ensure high patient care quality with less risk

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