Machine Learning – A Doctor’s Guide to Generating Faster and Precise Prescriptions

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  • Attributed to Dr.Atish Laddad, Pediatrician and Founder Member, The Pediatric Network

There absolutely is no denying the vitality of prescribed medication, but the procedure of obtaining a medical prescription from your health expert can often be a tremendously time-consuming process and tiresome affair. Hence in order to derive an effortless medical journey, there arises a need to offer an updated and streamlined process to obtain diagnosis and treatments for various related ailments. This is exactly where machine learning steps in. Many doctors may consider it to be a fancy terminology basically targeting the tech nerds and data scientists, but it is vital to note that Machine Learning is nothing but a process of constructing smart algorithms inside a tech application for a detailed purpose. In the emerging zone of pediatrics, this smart tool has the possibility to produce prescriptions at a much faster rate as compared to the traditional pen and paper.

  • Use of Machine Learning in the pediatric domain:

The importance of machine learning in child healthcare is its knack of fluently processing vast datasets beyond the scope of human competence and then consistently converting analysis of that information into medical insights that help doctors in planning and delivering care, eventually leading to improved outcomes, lesser costs of care and amplified patient satisfaction. This tech-savvy process comes fitted with a code that is built into it that facilitates in analyzing the doctor’s behaviors and functioning.  It can study the way a doctor will approach a particular illness by suggesting the necessary medications, required lab tests, vaccination and precautionary measures based on doctor’s previous behaviour patterns.

  • So how is the procedure of Machine Learning going to help the doctor?

It will undoubtedly help a doctor to generate a prescription in record time. It can help the skilled child practitioner in timely diagnosis of any emergency situations and also in the prediction of any kind of epidemic outbreaks, it majorly helps in clinical trials and research. In the zone of Radiology this technological advanced model will precisely read all the images and based on prior information will suggest the necessary diagnosis to the radiologist. In the field of Pathology, the ML accurately scans Pathology slides and based on former data will recommend the pathologist regarding the necessary diagnosis.

  • Are Doctors embracing this novel technological trend?

Although the paper and pen methodology has dominated the healthcare sector, the trend of Machine Learning, is gradually gaining a lot of traction, while doctors are slowly getting convinced to the fact that technology has the potential to actually simplicity their workflows and facilitate in patient care. It has in current times become the talk of the town. Alongside there is also a need to emphasize on having more stringent healthcare information norms, to bring about more awareness in the sector.

 Above all, the functional use of Machine Learning, to its maximum competences will bestow the entire healthcare sector with tremendous amount of growth and development and various positive modifications can be brought about in this domain. If technology is to advance care in the upcoming years, then the electronic data and material provided to doctors should be boosted by the power of analytics and machine learning. This is just the beginning, as these technologies will establish, innovative and better-quality treatments and diagnoses will save more lives and treat more viruses. It goes without saying, Machine Learning absolutely points out towards a bright health-care future.  

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