Manvi Singh1, Mohd. Aamir Mirza2, Zeenat Iqbal1.
1Department of Pharmaceutics, Faculty of Pharmacy, Jamia Hamdard, New Delhi 110062, India.
2New Zealand Fulvic Limited, Mount Maunganui, Tauranga 3116, New Zealand.
REVIEW ARTICLE
Volume 2016, Issue 2016, Article ID 97, Page 1-4.
ABSTRACT
The proposed review provides an insight into the use of social networks for fruitful generation of the data for the safe and effective use of drugs. It is worth mentioning that the uninhibited use of platforms like Twitter, Face book, Forums could be harnessed for better healthcare at reduced prices for better economic perspective.
The method used is in-silico programmed based techniques which identify the words which are medically correct and moreover associated with the patients are then reported to the regulatory authorities.
The collation of the data based on social jargon selected from aforementioned social platforms has been systematically arranged, filtered and processed to generate data which can be effectively used for mitigation of side effects, adverse reactions and ultimately reducing the hospital stay of the concerned patients. This process has recently gained popularity and acceptability among regulatory authorities like US FDA.
With the imminent internet revolution in place and positive government policies in making use of the virtual programmes, the day is not far away where the social platforms would be used successfully to generate health care and safety data thus providing greater insights about the drug that is marketed by the pharmaceutical companies.
The proposed review provides an insight into the use of social networks for fruitful generation of the data for the safe and effective use of drugs. It is worth mentioning that the uninhibited use of platforms like Twitter, Face book, Forums could be harnessed for better healthcare at reduced prices for better economic perspective.
The method used is in-silico programmed based techniques which identify the words which are medically correct and moreover associated with the patients are then reported to the regulatory authorities.
The collation of the data based on social jargon selected from aforementioned social platforms has been systematically arranged, filtered and processed to generate data which can be effectively used for mitigation of side effects, adverse reactions and ultimately reducing the hospital stay of the concerned patients. This process has recently gained popularity and acceptability among regulatory authorities like US FDA.
With the imminent internet revolution in place and positive government policies in making use of the virtual programmes, the day is not far away where the social platforms would be used successfully to generate health care and safety data thus providing greater insights about the drug that is marketed by the pharmaceutical companies.