Page 111 - Building Big Data Applications
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Chapter 5   Pharmacy industry applications and usage  107


                   How big data applications change the landscape: a very interesting situation to look
                 into is the big data landscape changing the entire drug discovery process. Take for
                 example the application to visualize the whole-body protein targets for a given disease,
                 using a specific combination of drugs. This application will require us to mashup
                 different areas of data, from discovery to clinical trials to actual outcomes. The mashup
                 will require us to use an application layer like Tableau, with Apache Drill as an inter-
                 connection to federate the data from different source platforms or subject areas. The
                 subject areas can be all in one system across different directories or different systems,
                 the query integration will execute each query independently and combine the outcomes
                 as needed for the mashup. This gives rise to a fantastic idea, where we realize that by
                 integrating a specific set of subject areas with a key focus target set, we can easily create a
                 drug discovery platform with outcomes defined and managed using technology. This
                 disruption is what we have been waiting for a number of years, and the disruption is
                 resilient in its incorporation into the enterprise. We have read multiple case studies from
                 Novartis, GlaxoSmithKline, Johnson&Johnson, Merck, and others on their successful
                 transformations.
                   The key focus areas shown in Fig. 5.3, which we are discussing includes the following:

                   Current drug and composition
                   New drugs and composition
                   Patient recruitment
                   Patient adherence
                   Segmentation of diagnosed and undiagnosed patients
                   Integration of social media data
                   Improve safety signal detection
                   Disease pattern analysis
                   Flexible and faster design of products, trials, and treatments



                                            Pa ent Clinical   Outcomes
                             Requirements
                                               Trials         Analysis

                                                             Differen al
                             Disease States   Animal tes ng
                                                             Analy cs

                                                              Reverse
                                Target        Predic ve
                              Outcomes        Analy cs       Spectrum      Drug approval
                                                              Analysis

                               Pa ent         Computer      Drug research   Drug panel
                              Acquisi on    aided research   submission      review

                                          FIGURE 5.3 Drug discovery and research.
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