D6 Big data: Beauty or beast?

Thursday 1 September 2016
Hilton Buenos Aires : Pacifico A, 1.5 hours

Organised by the FIP Community Pharmacy Section and the FIP Social and Administrative Pharmacy Section

Simultaneous translation in Spanish


 Every day, pharmacists must make immediate decisions, sometimes based on incomplete information and under uncertain conditions. Medical information is predicted to double every five years, while health care professionals face more pressure every day as they are expected to make fast, evidence-based decisions.

It is no small undertaking to try to pull together data from across the health care ecosystem: prescription data, unstructured physician notes, medical images, genomic data, data from research and even consumer-buying behaviour data.

Pioneering technologies have succeeded in putting data pieces together in a way that allows clinicians to grasp the relevant information and use it to make the correct choices and identify trends that will impact the future of health care. As the data piles up, most of it is isolated in different silos, many stakeholders (governments, insurers, payers, pharmaceutical companies, hospitals and community pharmacies) are struggling to turn big data from a concept into a reality.

Organisations are learning lessons from early adopters and trying to determine the best ways to cooperate and share data. Adherence, hospital readmissions, enhanced consumer engagement, online self-help tools, targeted clinical counseling and healthy incentives are only a few examples of an expanded portfolio of services that open a path for better patient care. 

Learning objectives

At the conclusion of this knowledge-based session, participants will be able to:

  1. Explain how big data transform patient care
  2. Outline the opportunity that big data brings for faster, evidence-based decisions and to pharmacy services
  3. Describe how developing countries and pharmaceutical companies are taking advantage of big data
  4. Specify the limits (and legal issues) of big data based on patients’ desire for privacy. 


Jaime Acosta Gómez (FIP CPS, Spain) and Cody Midlam (FIP SAPS, USA)   



1)      Adherence prediction and other pharmacy services

Darrin Baines (Coventry University, UK)


2)      Big data in developing countries

Aldo Álvarez-Risco (Ministry of Health, Peru)


4)      Big data and pharmaceutical companies

Marion Schaefer (FIP SAPS, Germany)