Analytics in Pharmaceutical Industry
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Transcript of Analytics in Pharmaceutical Industry
PHARMACEUTICALS
PADMAKAR GUNTUR VAMSIDHAR M
KRISHNA MUTTOJUPANKURI JAINSWATI BAJAJ
HIMA BINDHU
InsightsWithin R&D there is need of superior innovation and
lower costs which is achieved through: A comprehensive understanding of how the human
body works at the molecular level. A much better grasp of the killer-effects from
consumptions of drugs including side effects and intricacies caused
Greater collaboration between the industry, academia, the regulators, governments and healthcare providers.
Insights….
Business Problem-1• It is acknowledged that the pharmaceuticals industry has enormous
expenditure in building a successful molecular composition in a time frame. R&D activity which is extensively outsourced predominantly occupies a great share of the incurred cost.
Analytical consultation• Bench marking of the outsourced R&D
– The R&D divisions per phase , per drug, per disease are benchmarked to indentify the best and the worst performing units resulting in the
significant reduction of the outsourcing costs.– The analytical solution provides atleast a 40 %
saving
average R&D cost per unit Average cost after bench marking
0102030405060708090
100
(in m
illio
ns)
Cost saved is 40%
Cost model
average Estimated cost for a molecule composition 1 Billion $
average Number of phases 10average number of R&D units per phase 10
average cost /R&D unit 10 M$expected savings if the 4 least performing units are stopped funding 40 M$
Estimated cost for benchmarking 0.3 M$ Projected price for providing this analysis 4 M$
Technical analysis For Benchmark
• DATA TYPE: Disease(cat), Drug(cat), Costs Incurred(neu),Cost, Time Period(neu),
Number of Failures before successful experiment(neu), Team Size(neu), Successful/Failure Experiment (cat), R&D Firm(cat), R&D Firm Demographics(cat), R&D Firm Size(neu), etc
• DATA VOLUME: 20 to 40 input and output parameters
• IMPLEMENTATION: Quantify the level/positioning of each R&D Firm and identify top most firms for outsourcing.
• PROBLEM CLASS: Linear Optimization
• TECHNIQUE: DEA
Business Problem-2 The formula of the created molecular composition many a time goes to
trash as the usage results many a side effect apart the suffering of patent uniqueness.
Pharma Killer effects and patent tool (PAT -- Pharma analytic tool)
• The software tool that we would be providing would explain the pharma scientist the possible side effects and its intensity for a molecular composition.
• It also validates the formula for its uniqueness by checking with the patent database
• Maintenance and service is entertained for this tool.
• Based on the data generation, the tool would upgrade itself and provide the updated results.
Cost model for PAT
Domain understanding 1 month
Collecting and processing of the data 3 months
Analysis and training 3 months
Testing 2 months
Integration 2 months
Design 1 months
Cost per hour 80 $Cost of the tool PAT 0.6 M $
Support per hour 60 $
Technical analysis for PAT• DATA TYPE: Disease(cat), Drug(cat), Molecule Composition(cat),Costs Incurred(neu), Time
Period(neu), Number of Failures before successful experiment(neu), Side effects and/or Intricacies if any (cat)
• DATA VOLUME: One Record for each type of molecule composition. Patent database.
• IMPLEMENTATION: Given the molecule composition of a drug, to classify whether Side effects and/or Intricacies is caused or not. And if caused then which out of given Side effects and/or Intricacies categories. Patent search,
• ERROR MEASURE: RECALL
• PROBLEM CLASS: CLASSIFICATION
• TECHNIQUE: DECISION TREE,NAÏVE BAYES, RANDOM FOREST, Page ranking, K-NN using HADOOP
PAT Framework
No
of R
ejec
ted
expe
rimen
ts a
t app
rova
l boa
rd
Killer experiments
Tim
e co
nsum
ed
Histo
ricall
y obs
erve
d
Projected
The tool saves the 40 % time wastage in killer experiments and patent findings.
40%
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This presentation may contain references to findings of various reports available in the public domain. INSOFE makes no representation as to their accuracy or that the
organization subscribes to those findings.
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