Skip to main content

How pharma data / business analytics are helping pharmaceutical companies?

Case Study:
A top pharmaceutical company was interested to develop a medicine for diabetes, and for which it wanted to asses and identify attractive patient segments.
Approach:
Secondary research was undertaken to understand current diabetes treatment guidelines and therapy landscape, to identify patient segments. Following this trial analysis was undertaken to identify upcoming trends and molecules in different patient segments of diabetes. The molecules and trends were further analyzed to ascertain their expected relevance on the diabetes landscape through clinical data and benchmark analysis. Key trends analyzed during the study were related to epidemiology, pricing, regulatory activities, and market access regulations across geographies. These findings were further validated through an intense primary research involving key opinion leaders, payers, physicians and regulatory bodies. The all inputs from primary and secondary research with collated together and analytical tools, such as PESTLE, SWOT, ANSOFF and 5 WHY’s were used to generate insights out of the information. Final report clearly laid out “WHERE TO PLAY” and “HOW TO PLAY” strategic options within diabetes


Outcome:
Project helped client to clearly understand the development opportunities within diabetes and design development plan for molecule as per plan.

About Cliniminds:
Cliniminds is India’s leading Health Sciences Education, Training & Consulting organization offering specialised program in pharmaceutical data / business analytics, and other health sciences programs. All Cliniminds programs are linked with job placements. Cliniminds has trained and placed over 6,500 professionals in the health sciences domain.


For more information, please call 9810068241 or mail at info@cliniminds.com; www.cliniminds.com

Comments

Post a Comment

Popular posts from this blog

Chat Bot- the first artificial intelligence bot in Pharmacovigilance

Merck Sharp & Dohme (MSD) Corp., a subsidiary of Merck & Co., Inc has developed an Artificial Intelligence (AI) chat bot. The MSD Salute chat bot is designed to aid physicians in providing product information and pathology.  The Physicians who are registered with MSD would use the Chat bot using facebook messenger.  Chat bot is derived from the social media and uses machine learning and implements feedback to develop interactions.  Currently MSD is monitoring and not filtering the communication between Chat bot and users, as they want to analyse the open ended exchanges between the AI and the users. Chat bot currently in the testing phase, is said augment patient safety through proactive pharmacovigilance .  We at Think I are also driven to produce Pharmacovigilance safety database solutions using cloud based technology which are not only cost effective and user friendly but also fully validated for quick, easy import, entry and electronic submissions of adve

Pharmacovigilance system- Industry perspective, Market size and Operations

Monitoring adverse drug reaction is an essential component in patient safety. In the last decade we have seen how technology has influenced the entire healthcare system, leading to patient awareness, thus making the pharmaceutical companies and regulatory authorities to invest more time and resource in monitoring adverse events. Pharmacovigilance as per WHO is defined as the science and activities relating to the detection, assessment, understanding and prevention of adverse effects or any other drug-related problem Pharmacovigilance is the study of adverse events taking into account all the plausible relationship or untoward medical occurrence which the patent experienced after taking the drug and then using standard set of coordinated activities which involves first collecting adverse event reports either via telephone, email, social network, lay press , media. After adverse event reports are filed we then process and assess these reports in database to determine if indee

Artificial Intelligence Seeing through the lens of Pharmacovigilance

Pharmacovigilance as we know is a science with a set of pre defined functions to collect, analyse, monitor adverse event reports in understanding the safety profile of drug. The set pre defined functions would include case processing through data entry of adverse event forms into safety database, medical review, aggregate reporting, signal detection, risk evaluation and mitigation strategies. With patients awareness and regulatory compliance we may have seen a surge of adverse event data over last few years , resulting in the urgent need for the application of automation. Pharmacovigilance is the only discipline where in which timelines and quality data are evaluated on a benchmark of 100 % and a compromise in these two parameters are considered to be a zero tolerance. Automation of above pre defined function is possible through machine learning, which is an integral components of Artificial Intelligence. What is Artificial Intelligence ?        Artificial intellig