Representation of the Predictive Analytics based Financial Assistance Model for Chronic Care Patients in India

Indian pharmaceutical industry (IPI) has traversed through many phases and it is in emerging phase
now (2019). IPI is looking for innovation, creativity, newness in patient connect to perform different
activities to achieve their stated goals. According to a recent World Health Organization report,
approximately 50% of the people with chronic illness do not take their medication as prescribed [1].
Medication Non-Adherence is a huge problem across the world. Pharmaceutical companies across
the world manufacture medicines with set of standard operating procedures, guidelines, quality
execution systems, inspection and verification from quality control and quality assurance activities.
The very intention of producing medicines is to sell them to the patients who are in need. The last
thing Pharmaceutical companies expects from Health Care Professional (HCP) is to write the
prescription and patient carrying it to Pharmacy to buy the medicine. Despite having the prescriptions
for medicines, there are plethora of reasons for Patient not to buy them. If the medicines are not taken
in case of the chronic illness, the patient’s quality of life degrades over a period of time, eventually
resulting to fatality. This paper made an attempt to introduce predictive analytics based financial
assistance model for chronic care patients in India.

Author (s) Details

Ramakumar Kommajosyula
Department of IT, VFSTR Deemed to be University, Guntur, Andhra Pradesh, India.

Prof. Nirupama Bhat
Department of Computer Science, VFSTR deemed to be University, Guntur, Andhra Pradesh, India.

Dr. P. L. S. Rao
India Research Lab, T J Watson Research Lab, New York, USA.

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