SlideShare a Scribd company logo
1 of 22
What science
can do
April 2020
Presented by:
Joseph Roemer
Graph Algorithms:
Proof of
concept
review
What’s
Next?
Today’s focus
April 20202
Who is
AstraZeneca?
Who is AstraZeneca?
1
3
AstraZeneca: global dimensions
For year ending 31 December 2019
April 20204
$24.4bn $6.1bn 70.6k
$23.6bn 167 45.4%
$819m 28 26
Total Revenue
(Up 10% in 2019)
invested in R&D
with research across
five countries
Product Sales
(Up 12% in 2019)
projects in clinical
development and
eight NMEs in late-
stage development
of our senior
roles are filled
by women
Collaboration
Revenue
NME approvals
in 2019
operations sites
in 16 countries
employees
Focus on three main therapy areas
and across key platforms
April 20205
BiologicsSmall molecules
Protein
Engineering
Devices
Oncology Respiratory
Cardiovascular, Renal
and Metabolism
Other Emerging
Drug Platforms
Combination of capabilities
Diagnostics
April 2020
Inspired by our values and what
science can do, we are focused on
accelerating the delivery of life-
changing medicines that create
enduring value for patients and
society.
We push the
boundaries of
science to deliver
life-changing
medicines
6
Graph Algorithms:
Proof of concept review
7
2
8
Why we started exploring Graph?
Technology Scouting Research
April 2020
9
Market Research -
Our entry point into the proof of concept
What other conditions
do these patients
typically have that are
being managed?
What other conditions
do these patients
typically have that are
being managed?
How do patients with
disease A get referred
to your practice?
How do patients with
disease A get referred
to your practice?
What is the patient
progression through the
disease, and how to you
help these patients?
What is the patient
progression through the
disease, and how to you
help these patients?
Traditional Patient Journey Research is delivered via phone interviews with a
cross section of Healthcare Professionals
What events cause you
to adjust treatment?
What events cause you
to adjust treatment?
April 2020
10
Our proof of concept approach
Hypothesis
generation with
the Brand
Update the
graph model
Visualisation
April 2020
11
Our proof of concept approach
Hypothesis
generation with
the Brand
Update the
graph model
Visualisation
April 2020
12
Our proof of concept approach
Hypothesis
generation with
the Brand
Update the
graph model
Visualisation
April 2020
13
Visualization helped Hypothesis Generation
Patient Journey – From start to finish
April 2020
Diagnosis Code Prescription Claim Procedure
14
Question complexity lead us to Algorithms
Can we find all the patient
with similar but not exactly
the same journey?
How connected are
physicians in their treatment
of patients?
April 2020
15
Patient Journey Similarity: Optimistic of the possibilities
April 2020
16
Physician Connectedness & Influence
Insights from
our work with
graphs
17
Physicians work in tightly connected
groups with patient care spread
among the team
No two patient journeys are
the same but there are
similarities
Graph modeling requires a
change in mindset
What’s Next
18
3
19
Graphs to highlight connections that matter
• Leverage graphs to better understand physician to health
system connectedness
• Finding influence points where physicians who have
experienced positive outcomes with patients connect to
other physicians who may still have questions
20
Focus on insights from the patient journey
• More patient journey mapping to help focus our
conversations with health care providers on the
patients our medicines can help the most
• And if we do this well….. Hopefully build
predictive algorithms to help prevent avoidable
events like re-hospitalization
Thank You
21
Confidentiality Notice
This file is private and may contain confidential and proprietary information. If you have received this file in error, please notify us and remove
it from your system and note that you must not copy, distribute or take any action in reliance on it. Any unauthorized use or disclosure of the contents of this
file is not permitted and may be unlawful. AstraZeneca PLC, 1 Francis Crick Avenue, Cambridge Biomedical Campus, Cambridge, CB2 0AA, UK, T: +44(0)203
749 5000, www.astrazeneca.com
22

More Related Content

What's hot

Northern Gas Networks and CKDelta at Neo4j GraphSummit London 14Nov23.pptx
Northern Gas Networks and CKDelta at Neo4j GraphSummit London 14Nov23.pptxNorthern Gas Networks and CKDelta at Neo4j GraphSummit London 14Nov23.pptx
Northern Gas Networks and CKDelta at Neo4j GraphSummit London 14Nov23.pptxNeo4j
 
The path to success with graph database and graph data science_ Neo4j GraphSu...
The path to success with graph database and graph data science_ Neo4j GraphSu...The path to success with graph database and graph data science_ Neo4j GraphSu...
The path to success with graph database and graph data science_ Neo4j GraphSu...Neo4j
 
Training Week: Introduction to Neo4j Bloom
Training Week: Introduction to Neo4j BloomTraining Week: Introduction to Neo4j Bloom
Training Week: Introduction to Neo4j BloomNeo4j
 
Get Started with the Most Advanced Edition Yet of Neo4j Graph Data Science
Get Started with the Most Advanced Edition Yet of Neo4j Graph Data ScienceGet Started with the Most Advanced Edition Yet of Neo4j Graph Data Science
Get Started with the Most Advanced Edition Yet of Neo4j Graph Data ScienceNeo4j
 
AstraZeneca - The promise of graphs & graph-based learning in drug discovery
AstraZeneca - The promise of graphs & graph-based learning in drug discoveryAstraZeneca - The promise of graphs & graph-based learning in drug discovery
AstraZeneca - The promise of graphs & graph-based learning in drug discoveryNeo4j
 
Knowledge Graphs and Graph Data Science: More Context, Better Predictions (Ne...
Knowledge Graphs and Graph Data Science: More Context, Better Predictions (Ne...Knowledge Graphs and Graph Data Science: More Context, Better Predictions (Ne...
Knowledge Graphs and Graph Data Science: More Context, Better Predictions (Ne...Neo4j
 
Introduction to Graph neural networks @ Vienna Deep Learning meetup
Introduction to Graph neural networks @  Vienna Deep Learning meetupIntroduction to Graph neural networks @  Vienna Deep Learning meetup
Introduction to Graph neural networks @ Vienna Deep Learning meetupLiad Magen
 
Modeling Cybersecurity with Neo4j, Based on Real-Life Data Insights
Modeling Cybersecurity with Neo4j, Based on Real-Life Data InsightsModeling Cybersecurity with Neo4j, Based on Real-Life Data Insights
Modeling Cybersecurity with Neo4j, Based on Real-Life Data InsightsNeo4j
 
Knowledge Graphs and Generative AI_GraphSummit Minneapolis Sept 20.pptx
Knowledge Graphs and Generative AI_GraphSummit Minneapolis Sept 20.pptxKnowledge Graphs and Generative AI_GraphSummit Minneapolis Sept 20.pptx
Knowledge Graphs and Generative AI_GraphSummit Minneapolis Sept 20.pptxNeo4j
 
Amsterdam - The Neo4j Graph Data Platform Today & Tomorrow
Amsterdam - The Neo4j Graph Data Platform Today & TomorrowAmsterdam - The Neo4j Graph Data Platform Today & Tomorrow
Amsterdam - The Neo4j Graph Data Platform Today & TomorrowNeo4j
 
A Knowledge Graph for Reaction & Synthesis Prediction (AstraZeneca)
A Knowledge Graph for Reaction & Synthesis Prediction (AstraZeneca)A Knowledge Graph for Reaction & Synthesis Prediction (AstraZeneca)
A Knowledge Graph for Reaction & Synthesis Prediction (AstraZeneca)Neo4j
 
Building social network with Neo4j and Python
Building social network with Neo4j and PythonBuilding social network with Neo4j and Python
Building social network with Neo4j and PythonAndrii Soldatenko
 
The three layers of a knowledge graph and what it means for authoring, storag...
The three layers of a knowledge graph and what it means for authoring, storag...The three layers of a knowledge graph and what it means for authoring, storag...
The three layers of a knowledge graph and what it means for authoring, storag...Neo4j
 
SERVIER Pegasus - Graphe de connaissances pour les phases primaires de recher...
SERVIER Pegasus - Graphe de connaissances pour les phases primaires de recher...SERVIER Pegasus - Graphe de connaissances pour les phases primaires de recher...
SERVIER Pegasus - Graphe de connaissances pour les phases primaires de recher...Neo4j
 
The perfect couple: Uniting Large Language Models and Knowledge Graphs for En...
The perfect couple: Uniting Large Language Models and Knowledge Graphs for En...The perfect couple: Uniting Large Language Models and Knowledge Graphs for En...
The perfect couple: Uniting Large Language Models and Knowledge Graphs for En...Neo4j
 
EY + Neo4j: Why graph technology makes sense for fraud detection and customer...
EY + Neo4j: Why graph technology makes sense for fraud detection and customer...EY + Neo4j: Why graph technology makes sense for fraud detection and customer...
EY + Neo4j: Why graph technology makes sense for fraud detection and customer...Neo4j
 
Graphs in Telecommunications - Jesus Barrasa, Neo4j
Graphs in Telecommunications - Jesus Barrasa, Neo4jGraphs in Telecommunications - Jesus Barrasa, Neo4j
Graphs in Telecommunications - Jesus Barrasa, Neo4jNeo4j
 
AstraZeneca at Neo4j GraphSummit London 14Nov23.pptx
AstraZeneca at Neo4j GraphSummit London 14Nov23.pptxAstraZeneca at Neo4j GraphSummit London 14Nov23.pptx
AstraZeneca at Neo4j GraphSummit London 14Nov23.pptxNeo4j
 
GraphTour 2020 - Danish Business Authority: First line of Defence
GraphTour 2020 - Danish Business Authority: First line of DefenceGraphTour 2020 - Danish Business Authority: First line of Defence
GraphTour 2020 - Danish Business Authority: First line of DefenceNeo4j
 
Training Week: Introduction to Neo4j 2022
Training Week: Introduction to Neo4j 2022Training Week: Introduction to Neo4j 2022
Training Week: Introduction to Neo4j 2022Neo4j
 

What's hot (20)

Northern Gas Networks and CKDelta at Neo4j GraphSummit London 14Nov23.pptx
Northern Gas Networks and CKDelta at Neo4j GraphSummit London 14Nov23.pptxNorthern Gas Networks and CKDelta at Neo4j GraphSummit London 14Nov23.pptx
Northern Gas Networks and CKDelta at Neo4j GraphSummit London 14Nov23.pptx
 
The path to success with graph database and graph data science_ Neo4j GraphSu...
The path to success with graph database and graph data science_ Neo4j GraphSu...The path to success with graph database and graph data science_ Neo4j GraphSu...
The path to success with graph database and graph data science_ Neo4j GraphSu...
 
Training Week: Introduction to Neo4j Bloom
Training Week: Introduction to Neo4j BloomTraining Week: Introduction to Neo4j Bloom
Training Week: Introduction to Neo4j Bloom
 
Get Started with the Most Advanced Edition Yet of Neo4j Graph Data Science
Get Started with the Most Advanced Edition Yet of Neo4j Graph Data ScienceGet Started with the Most Advanced Edition Yet of Neo4j Graph Data Science
Get Started with the Most Advanced Edition Yet of Neo4j Graph Data Science
 
AstraZeneca - The promise of graphs & graph-based learning in drug discovery
AstraZeneca - The promise of graphs & graph-based learning in drug discoveryAstraZeneca - The promise of graphs & graph-based learning in drug discovery
AstraZeneca - The promise of graphs & graph-based learning in drug discovery
 
Knowledge Graphs and Graph Data Science: More Context, Better Predictions (Ne...
Knowledge Graphs and Graph Data Science: More Context, Better Predictions (Ne...Knowledge Graphs and Graph Data Science: More Context, Better Predictions (Ne...
Knowledge Graphs and Graph Data Science: More Context, Better Predictions (Ne...
 
Introduction to Graph neural networks @ Vienna Deep Learning meetup
Introduction to Graph neural networks @  Vienna Deep Learning meetupIntroduction to Graph neural networks @  Vienna Deep Learning meetup
Introduction to Graph neural networks @ Vienna Deep Learning meetup
 
Modeling Cybersecurity with Neo4j, Based on Real-Life Data Insights
Modeling Cybersecurity with Neo4j, Based on Real-Life Data InsightsModeling Cybersecurity with Neo4j, Based on Real-Life Data Insights
Modeling Cybersecurity with Neo4j, Based on Real-Life Data Insights
 
Knowledge Graphs and Generative AI_GraphSummit Minneapolis Sept 20.pptx
Knowledge Graphs and Generative AI_GraphSummit Minneapolis Sept 20.pptxKnowledge Graphs and Generative AI_GraphSummit Minneapolis Sept 20.pptx
Knowledge Graphs and Generative AI_GraphSummit Minneapolis Sept 20.pptx
 
Amsterdam - The Neo4j Graph Data Platform Today & Tomorrow
Amsterdam - The Neo4j Graph Data Platform Today & TomorrowAmsterdam - The Neo4j Graph Data Platform Today & Tomorrow
Amsterdam - The Neo4j Graph Data Platform Today & Tomorrow
 
A Knowledge Graph for Reaction & Synthesis Prediction (AstraZeneca)
A Knowledge Graph for Reaction & Synthesis Prediction (AstraZeneca)A Knowledge Graph for Reaction & Synthesis Prediction (AstraZeneca)
A Knowledge Graph for Reaction & Synthesis Prediction (AstraZeneca)
 
Building social network with Neo4j and Python
Building social network with Neo4j and PythonBuilding social network with Neo4j and Python
Building social network with Neo4j and Python
 
The three layers of a knowledge graph and what it means for authoring, storag...
The three layers of a knowledge graph and what it means for authoring, storag...The three layers of a knowledge graph and what it means for authoring, storag...
The three layers of a knowledge graph and what it means for authoring, storag...
 
SERVIER Pegasus - Graphe de connaissances pour les phases primaires de recher...
SERVIER Pegasus - Graphe de connaissances pour les phases primaires de recher...SERVIER Pegasus - Graphe de connaissances pour les phases primaires de recher...
SERVIER Pegasus - Graphe de connaissances pour les phases primaires de recher...
 
The perfect couple: Uniting Large Language Models and Knowledge Graphs for En...
The perfect couple: Uniting Large Language Models and Knowledge Graphs for En...The perfect couple: Uniting Large Language Models and Knowledge Graphs for En...
The perfect couple: Uniting Large Language Models and Knowledge Graphs for En...
 
EY + Neo4j: Why graph technology makes sense for fraud detection and customer...
EY + Neo4j: Why graph technology makes sense for fraud detection and customer...EY + Neo4j: Why graph technology makes sense for fraud detection and customer...
EY + Neo4j: Why graph technology makes sense for fraud detection and customer...
 
Graphs in Telecommunications - Jesus Barrasa, Neo4j
Graphs in Telecommunications - Jesus Barrasa, Neo4jGraphs in Telecommunications - Jesus Barrasa, Neo4j
Graphs in Telecommunications - Jesus Barrasa, Neo4j
 
AstraZeneca at Neo4j GraphSummit London 14Nov23.pptx
AstraZeneca at Neo4j GraphSummit London 14Nov23.pptxAstraZeneca at Neo4j GraphSummit London 14Nov23.pptx
AstraZeneca at Neo4j GraphSummit London 14Nov23.pptx
 
GraphTour 2020 - Danish Business Authority: First line of Defence
GraphTour 2020 - Danish Business Authority: First line of DefenceGraphTour 2020 - Danish Business Authority: First line of Defence
GraphTour 2020 - Danish Business Authority: First line of Defence
 
Training Week: Introduction to Neo4j 2022
Training Week: Introduction to Neo4j 2022Training Week: Introduction to Neo4j 2022
Training Week: Introduction to Neo4j 2022
 

Similar to Improving Patient Outcomes with Graph Algorithms

Healthcare and Management Predictions 2020 by Dr.Mahboob Khan Phd
Healthcare and Management Predictions 2020 by Dr.Mahboob Khan PhdHealthcare and Management Predictions 2020 by Dr.Mahboob Khan Phd
Healthcare and Management Predictions 2020 by Dr.Mahboob Khan PhdHealthcare consultant
 
20 tendencias digitales en salud digital_ The Medical Futurist
20 tendencias digitales en salud digital_ The Medical Futurist20 tendencias digitales en salud digital_ The Medical Futurist
20 tendencias digitales en salud digital_ The Medical FuturistRichard Canabate
 
7 Big Physician and Patient Engagement Trends You Can’t Miss for Brand Planning
7 Big Physician and Patient Engagement Trends You Can’t Miss for Brand Planning7 Big Physician and Patient Engagement Trends You Can’t Miss for Brand Planning
7 Big Physician and Patient Engagement Trends You Can’t Miss for Brand PlanningDRG Digital
 
Dossier health care final
Dossier health care finalDossier health care final
Dossier health care finalUma Maharaj
 
Deloitte healthcare and life sciences predictions by 2020
Deloitte healthcare and life sciences predictions by 2020Deloitte healthcare and life sciences predictions by 2020
Deloitte healthcare and life sciences predictions by 2020Sébastien Marchipont
 
mHealth Israel_Deloitte healthcare and-life-sciences-predictions-2020
mHealth Israel_Deloitte healthcare and-life-sciences-predictions-2020mHealth Israel_Deloitte healthcare and-life-sciences-predictions-2020
mHealth Israel_Deloitte healthcare and-life-sciences-predictions-2020Levi Shapiro
 
We Need to Think Bigger About How We Use AI in Healthcare
We Need to Think Bigger About How We Use AI in HealthcareWe Need to Think Bigger About How We Use AI in Healthcare
We Need to Think Bigger About How We Use AI in HealthcareMary Tolan
 
Overcoming Big Data Bottlenecks in Healthcare - a Predictive Analytics Case S...
Overcoming Big Data Bottlenecks in Healthcare - a Predictive Analytics Case S...Overcoming Big Data Bottlenecks in Healthcare - a Predictive Analytics Case S...
Overcoming Big Data Bottlenecks in Healthcare - a Predictive Analytics Case S...Damo Consulting Inc.
 
Deloitte uk-life-sciences-health-care-predictions-2022
Deloitte uk-life-sciences-health-care-predictions-2022Deloitte uk-life-sciences-health-care-predictions-2022
Deloitte uk-life-sciences-health-care-predictions-2022Christine Canet
 
Beyond the Hype: Practical Approaches for Implementing Machine Learning and A...
Beyond the Hype: Practical Approaches for Implementing Machine Learning and A...Beyond the Hype: Practical Approaches for Implementing Machine Learning and A...
Beyond the Hype: Practical Approaches for Implementing Machine Learning and A...Life Sciences Network marcus evans
 
Effective Population Health Management Means Being Able to Predict the Future
Effective Population Health Management Means Being Able to Predict the FutureEffective Population Health Management Means Being Able to Predict the Future
Effective Population Health Management Means Being Able to Predict the FutureCitiusTech
 
New Health Data Deluges Require Secure Information Flow Enablement Via Standa...
New Health Data Deluges Require Secure Information Flow Enablement Via Standa...New Health Data Deluges Require Secure Information Flow Enablement Via Standa...
New Health Data Deluges Require Secure Information Flow Enablement Via Standa...Dana Gardner
 
2015 Pharmaceutical Sales Rep Experience
2015 Pharmaceutical Sales Rep Experience 2015 Pharmaceutical Sales Rep Experience
2015 Pharmaceutical Sales Rep Experience GSW
 
Pharma Market Research Report Dec 2013
Pharma Market Research Report Dec 2013Pharma Market Research Report Dec 2013
Pharma Market Research Report Dec 2013Brian Attig
 
The IMI EHDEN project: large-scale analysis of observation data in Europe - C...
The IMI EHDEN project: large-scale analysis of observation data in Europe - C...The IMI EHDEN project: large-scale analysis of observation data in Europe - C...
The IMI EHDEN project: large-scale analysis of observation data in Europe - C...Maxim Moinat
 
Marketing in the Age of Person-centric Healthcare
Marketing in the Age of Person-centric HealthcareMarketing in the Age of Person-centric Healthcare
Marketing in the Age of Person-centric HealthcareOgilvy Consulting
 
Disease Awareness Program Excellence: Structure, Timing, Activities & Investm...
Disease Awareness Program Excellence: Structure, Timing, Activities & Investm...Disease Awareness Program Excellence: Structure, Timing, Activities & Investm...
Disease Awareness Program Excellence: Structure, Timing, Activities & Investm...Best Practices
 
How Carle Health Effectively Integrated Augmented Intelligence
How Carle Health Effectively Integrated Augmented IntelligenceHow Carle Health Effectively Integrated Augmented Intelligence
How Carle Health Effectively Integrated Augmented IntelligenceHealth Catalyst
 
Digital & Beyond
Digital & BeyondDigital & Beyond
Digital & BeyondAyushi Mona
 
The dawn-of-data-driven-healthcare
The dawn-of-data-driven-healthcareThe dawn-of-data-driven-healthcare
The dawn-of-data-driven-healthcareAlessandro Mazzarisi
 

Similar to Improving Patient Outcomes with Graph Algorithms (20)

Healthcare and Management Predictions 2020 by Dr.Mahboob Khan Phd
Healthcare and Management Predictions 2020 by Dr.Mahboob Khan PhdHealthcare and Management Predictions 2020 by Dr.Mahboob Khan Phd
Healthcare and Management Predictions 2020 by Dr.Mahboob Khan Phd
 
20 tendencias digitales en salud digital_ The Medical Futurist
20 tendencias digitales en salud digital_ The Medical Futurist20 tendencias digitales en salud digital_ The Medical Futurist
20 tendencias digitales en salud digital_ The Medical Futurist
 
7 Big Physician and Patient Engagement Trends You Can’t Miss for Brand Planning
7 Big Physician and Patient Engagement Trends You Can’t Miss for Brand Planning7 Big Physician and Patient Engagement Trends You Can’t Miss for Brand Planning
7 Big Physician and Patient Engagement Trends You Can’t Miss for Brand Planning
 
Dossier health care final
Dossier health care finalDossier health care final
Dossier health care final
 
Deloitte healthcare and life sciences predictions by 2020
Deloitte healthcare and life sciences predictions by 2020Deloitte healthcare and life sciences predictions by 2020
Deloitte healthcare and life sciences predictions by 2020
 
mHealth Israel_Deloitte healthcare and-life-sciences-predictions-2020
mHealth Israel_Deloitte healthcare and-life-sciences-predictions-2020mHealth Israel_Deloitte healthcare and-life-sciences-predictions-2020
mHealth Israel_Deloitte healthcare and-life-sciences-predictions-2020
 
We Need to Think Bigger About How We Use AI in Healthcare
We Need to Think Bigger About How We Use AI in HealthcareWe Need to Think Bigger About How We Use AI in Healthcare
We Need to Think Bigger About How We Use AI in Healthcare
 
Overcoming Big Data Bottlenecks in Healthcare - a Predictive Analytics Case S...
Overcoming Big Data Bottlenecks in Healthcare - a Predictive Analytics Case S...Overcoming Big Data Bottlenecks in Healthcare - a Predictive Analytics Case S...
Overcoming Big Data Bottlenecks in Healthcare - a Predictive Analytics Case S...
 
Deloitte uk-life-sciences-health-care-predictions-2022
Deloitte uk-life-sciences-health-care-predictions-2022Deloitte uk-life-sciences-health-care-predictions-2022
Deloitte uk-life-sciences-health-care-predictions-2022
 
Beyond the Hype: Practical Approaches for Implementing Machine Learning and A...
Beyond the Hype: Practical Approaches for Implementing Machine Learning and A...Beyond the Hype: Practical Approaches for Implementing Machine Learning and A...
Beyond the Hype: Practical Approaches for Implementing Machine Learning and A...
 
Effective Population Health Management Means Being Able to Predict the Future
Effective Population Health Management Means Being Able to Predict the FutureEffective Population Health Management Means Being Able to Predict the Future
Effective Population Health Management Means Being Able to Predict the Future
 
New Health Data Deluges Require Secure Information Flow Enablement Via Standa...
New Health Data Deluges Require Secure Information Flow Enablement Via Standa...New Health Data Deluges Require Secure Information Flow Enablement Via Standa...
New Health Data Deluges Require Secure Information Flow Enablement Via Standa...
 
2015 Pharmaceutical Sales Rep Experience
2015 Pharmaceutical Sales Rep Experience 2015 Pharmaceutical Sales Rep Experience
2015 Pharmaceutical Sales Rep Experience
 
Pharma Market Research Report Dec 2013
Pharma Market Research Report Dec 2013Pharma Market Research Report Dec 2013
Pharma Market Research Report Dec 2013
 
The IMI EHDEN project: large-scale analysis of observation data in Europe - C...
The IMI EHDEN project: large-scale analysis of observation data in Europe - C...The IMI EHDEN project: large-scale analysis of observation data in Europe - C...
The IMI EHDEN project: large-scale analysis of observation data in Europe - C...
 
Marketing in the Age of Person-centric Healthcare
Marketing in the Age of Person-centric HealthcareMarketing in the Age of Person-centric Healthcare
Marketing in the Age of Person-centric Healthcare
 
Disease Awareness Program Excellence: Structure, Timing, Activities & Investm...
Disease Awareness Program Excellence: Structure, Timing, Activities & Investm...Disease Awareness Program Excellence: Structure, Timing, Activities & Investm...
Disease Awareness Program Excellence: Structure, Timing, Activities & Investm...
 
How Carle Health Effectively Integrated Augmented Intelligence
How Carle Health Effectively Integrated Augmented IntelligenceHow Carle Health Effectively Integrated Augmented Intelligence
How Carle Health Effectively Integrated Augmented Intelligence
 
Digital & Beyond
Digital & BeyondDigital & Beyond
Digital & Beyond
 
The dawn-of-data-driven-healthcare
The dawn-of-data-driven-healthcareThe dawn-of-data-driven-healthcare
The dawn-of-data-driven-healthcare
 

More from Neo4j

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...Neo4j
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j
 
QIAGEN: Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
QIAGEN: Biomedical Knowledge Graphs for Data Scientists and BioinformaticiansQIAGEN: Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
QIAGEN: Biomedical Knowledge Graphs for Data Scientists and BioinformaticiansNeo4j
 
EY_Graph Database Powered Sustainability
EY_Graph Database Powered SustainabilityEY_Graph Database Powered Sustainability
EY_Graph Database Powered SustainabilityNeo4j
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphNeo4j
 
Build your next Gen AI Breakthrough - April 2024
Build your next Gen AI Breakthrough - April 2024Build your next Gen AI Breakthrough - April 2024
Build your next Gen AI Breakthrough - April 2024Neo4j
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfNeo4j
 
ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...
ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...
ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...Neo4j
 
BBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafos
BBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafosBBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafos
BBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafosNeo4j
 
Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...
Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...
Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...Neo4j
 
GraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4j
GraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4jGraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4j
GraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4jNeo4j
 
Neo4j_Exploring the Impact of Graph Technology on Financial Services.pdf
Neo4j_Exploring the Impact of Graph Technology on Financial Services.pdfNeo4j_Exploring the Impact of Graph Technology on Financial Services.pdf
Neo4j_Exploring the Impact of Graph Technology on Financial Services.pdfNeo4j
 
Rabobank_Exploring the Impact of Graph Technology on Financial Services.pdf
Rabobank_Exploring the Impact of Graph Technology on Financial Services.pdfRabobank_Exploring the Impact of Graph Technology on Financial Services.pdf
Rabobank_Exploring the Impact of Graph Technology on Financial Services.pdfNeo4j
 
Webinar - IA generativa e grafi Neo4j: RAG time!
Webinar - IA generativa e grafi Neo4j: RAG time!Webinar - IA generativa e grafi Neo4j: RAG time!
Webinar - IA generativa e grafi Neo4j: RAG time!Neo4j
 
IA Generativa y Grafos de Neo4j: RAG time
IA Generativa y Grafos de Neo4j: RAG timeIA Generativa y Grafos de Neo4j: RAG time
IA Generativa y Grafos de Neo4j: RAG timeNeo4j
 
Neo4j: Data Engineering for RAG (retrieval augmented generation)
Neo4j: Data Engineering for RAG (retrieval augmented generation)Neo4j: Data Engineering for RAG (retrieval augmented generation)
Neo4j: Data Engineering for RAG (retrieval augmented generation)Neo4j
 
Neo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdf
Neo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdfNeo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdf
Neo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdfNeo4j
 
Enabling GenAI Breakthroughs with Knowledge Graphs
Enabling GenAI Breakthroughs with Knowledge GraphsEnabling GenAI Breakthroughs with Knowledge Graphs
Enabling GenAI Breakthroughs with Knowledge GraphsNeo4j
 
Neo4j_Anurag Tandon_Product Vision and Roadmap.Benelux.pptx.pdf
Neo4j_Anurag Tandon_Product Vision and Roadmap.Benelux.pptx.pdfNeo4j_Anurag Tandon_Product Vision and Roadmap.Benelux.pptx.pdf
Neo4j_Anurag Tandon_Product Vision and Roadmap.Benelux.pptx.pdfNeo4j
 
Neo4j Jesus Barrasa The Art of the Possible with Graph
Neo4j Jesus Barrasa The Art of the Possible with GraphNeo4j Jesus Barrasa The Art of the Possible with Graph
Neo4j Jesus Barrasa The Art of the Possible with GraphNeo4j
 

More from Neo4j (20)

Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
 
QIAGEN: Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
QIAGEN: Biomedical Knowledge Graphs for Data Scientists and BioinformaticiansQIAGEN: Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
QIAGEN: Biomedical Knowledge Graphs for Data Scientists and Bioinformaticians
 
EY_Graph Database Powered Sustainability
EY_Graph Database Powered SustainabilityEY_Graph Database Powered Sustainability
EY_Graph Database Powered Sustainability
 
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge GraphSIEMENS: RAPUNZEL – A Tale About Knowledge Graph
SIEMENS: RAPUNZEL – A Tale About Knowledge Graph
 
Build your next Gen AI Breakthrough - April 2024
Build your next Gen AI Breakthrough - April 2024Build your next Gen AI Breakthrough - April 2024
Build your next Gen AI Breakthrough - April 2024
 
Connecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdfConnecting the Dots for Information Discovery.pdf
Connecting the Dots for Information Discovery.pdf
 
ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...
ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...
ISDEFE - GraphSummit Madrid - ARETA: Aviation Real-Time Emissions Token Accre...
 
BBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafos
BBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafosBBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafos
BBVA - GraphSummit Madrid - Caso de éxito en BBVA: Optimizando con grafos
 
Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...
Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...
Graph Everywhere - Josep Taruella - Por qué Graph Data Science en tus modelos...
 
GraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4j
GraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4jGraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4j
GraphSummit Madrid - Product Vision and Roadmap - Luis Salvador Neo4j
 
Neo4j_Exploring the Impact of Graph Technology on Financial Services.pdf
Neo4j_Exploring the Impact of Graph Technology on Financial Services.pdfNeo4j_Exploring the Impact of Graph Technology on Financial Services.pdf
Neo4j_Exploring the Impact of Graph Technology on Financial Services.pdf
 
Rabobank_Exploring the Impact of Graph Technology on Financial Services.pdf
Rabobank_Exploring the Impact of Graph Technology on Financial Services.pdfRabobank_Exploring the Impact of Graph Technology on Financial Services.pdf
Rabobank_Exploring the Impact of Graph Technology on Financial Services.pdf
 
Webinar - IA generativa e grafi Neo4j: RAG time!
Webinar - IA generativa e grafi Neo4j: RAG time!Webinar - IA generativa e grafi Neo4j: RAG time!
Webinar - IA generativa e grafi Neo4j: RAG time!
 
IA Generativa y Grafos de Neo4j: RAG time
IA Generativa y Grafos de Neo4j: RAG timeIA Generativa y Grafos de Neo4j: RAG time
IA Generativa y Grafos de Neo4j: RAG time
 
Neo4j: Data Engineering for RAG (retrieval augmented generation)
Neo4j: Data Engineering for RAG (retrieval augmented generation)Neo4j: Data Engineering for RAG (retrieval augmented generation)
Neo4j: Data Engineering for RAG (retrieval augmented generation)
 
Neo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdf
Neo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdfNeo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdf
Neo4j Graph Summit 2024 Workshop - EMEA - Breda_and_Munchen.pdf
 
Enabling GenAI Breakthroughs with Knowledge Graphs
Enabling GenAI Breakthroughs with Knowledge GraphsEnabling GenAI Breakthroughs with Knowledge Graphs
Enabling GenAI Breakthroughs with Knowledge Graphs
 
Neo4j_Anurag Tandon_Product Vision and Roadmap.Benelux.pptx.pdf
Neo4j_Anurag Tandon_Product Vision and Roadmap.Benelux.pptx.pdfNeo4j_Anurag Tandon_Product Vision and Roadmap.Benelux.pptx.pdf
Neo4j_Anurag Tandon_Product Vision and Roadmap.Benelux.pptx.pdf
 
Neo4j Jesus Barrasa The Art of the Possible with Graph
Neo4j Jesus Barrasa The Art of the Possible with GraphNeo4j Jesus Barrasa The Art of the Possible with Graph
Neo4j Jesus Barrasa The Art of the Possible with Graph
 

Recently uploaded

Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxRustici Software
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyKhushali Kathiriya
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024The Digital Insurer
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfsudhanshuwaghmare1
 
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Bhuvaneswari Subramani
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businesspanagenda
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...apidays
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native ApplicationsWSO2
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelDeepika Singh
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Zilliz
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Jeffrey Haguewood
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWERMadyBayot
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistandanishmna97
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Victor Rentea
 
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusExploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusZilliz
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...DianaGray10
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodJuan lago vázquez
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Victor Rentea
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfOrbitshub
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FMESafe Software
 

Recently uploaded (20)

Corporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptxCorporate and higher education May webinar.pptx
Corporate and higher education May webinar.pptx
 
Artificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : UncertaintyArtificial Intelligence Chap.5 : Uncertainty
Artificial Intelligence Chap.5 : Uncertainty
 
FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024FWD Group - Insurer Innovation Award 2024
FWD Group - Insurer Innovation Award 2024
 
Boost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdfBoost Fertility New Invention Ups Success Rates.pdf
Boost Fertility New Invention Ups Success Rates.pdf
 
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​Elevate Developer Efficiency & build GenAI Application with Amazon Q​
Elevate Developer Efficiency & build GenAI Application with Amazon Q​
 
Why Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire businessWhy Teams call analytics are critical to your entire business
Why Teams call analytics are critical to your entire business
 
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
Apidays New York 2024 - Accelerating FinTech Innovation by Vasa Krishnan, Fin...
 
Architecting Cloud Native Applications
Architecting Cloud Native ApplicationsArchitecting Cloud Native Applications
Architecting Cloud Native Applications
 
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot ModelMcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
Mcleodganj Call Girls 🥰 8617370543 Service Offer VIP Hot Model
 
Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)Introduction to Multilingual Retrieval Augmented Generation (RAG)
Introduction to Multilingual Retrieval Augmented Generation (RAG)
 
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
Web Form Automation for Bonterra Impact Management (fka Social Solutions Apri...
 
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWEREMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
EMPOWERMENT TECHNOLOGY GRADE 11 QUARTER 2 REVIEWER
 
CNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In PakistanCNIC Information System with Pakdata Cf In Pakistan
CNIC Information System with Pakdata Cf In Pakistan
 
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
Modular Monolith - a Practical Alternative to Microservices @ Devoxx UK 2024
 
Exploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with MilvusExploring Multimodal Embeddings with Milvus
Exploring Multimodal Embeddings with Milvus
 
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
Connector Corner: Accelerate revenue generation using UiPath API-centric busi...
 
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin WoodPolkadot JAM Slides - Token2049 - By Dr. Gavin Wood
Polkadot JAM Slides - Token2049 - By Dr. Gavin Wood
 
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024Finding Java's Hidden Performance Traps @ DevoxxUK 2024
Finding Java's Hidden Performance Traps @ DevoxxUK 2024
 
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdfRising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
Rising Above_ Dubai Floods and the Fortitude of Dubai International Airport.pdf
 
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers:  A Deep Dive into Serverless Spatial Data and FMECloud Frontiers:  A Deep Dive into Serverless Spatial Data and FME
Cloud Frontiers: A Deep Dive into Serverless Spatial Data and FME
 

Improving Patient Outcomes with Graph Algorithms

  • 1. What science can do April 2020 Presented by: Joseph Roemer
  • 4. AstraZeneca: global dimensions For year ending 31 December 2019 April 20204 $24.4bn $6.1bn 70.6k $23.6bn 167 45.4% $819m 28 26 Total Revenue (Up 10% in 2019) invested in R&D with research across five countries Product Sales (Up 12% in 2019) projects in clinical development and eight NMEs in late- stage development of our senior roles are filled by women Collaboration Revenue NME approvals in 2019 operations sites in 16 countries employees
  • 5. Focus on three main therapy areas and across key platforms April 20205 BiologicsSmall molecules Protein Engineering Devices Oncology Respiratory Cardiovascular, Renal and Metabolism Other Emerging Drug Platforms Combination of capabilities Diagnostics
  • 6. April 2020 Inspired by our values and what science can do, we are focused on accelerating the delivery of life- changing medicines that create enduring value for patients and society. We push the boundaries of science to deliver life-changing medicines 6
  • 7. Graph Algorithms: Proof of concept review 7 2
  • 8. 8 Why we started exploring Graph? Technology Scouting Research April 2020
  • 9. 9 Market Research - Our entry point into the proof of concept What other conditions do these patients typically have that are being managed? What other conditions do these patients typically have that are being managed? How do patients with disease A get referred to your practice? How do patients with disease A get referred to your practice? What is the patient progression through the disease, and how to you help these patients? What is the patient progression through the disease, and how to you help these patients? Traditional Patient Journey Research is delivered via phone interviews with a cross section of Healthcare Professionals What events cause you to adjust treatment? What events cause you to adjust treatment? April 2020
  • 10. 10 Our proof of concept approach Hypothesis generation with the Brand Update the graph model Visualisation April 2020
  • 11. 11 Our proof of concept approach Hypothesis generation with the Brand Update the graph model Visualisation April 2020
  • 12. 12 Our proof of concept approach Hypothesis generation with the Brand Update the graph model Visualisation April 2020
  • 13. 13 Visualization helped Hypothesis Generation Patient Journey – From start to finish April 2020 Diagnosis Code Prescription Claim Procedure
  • 14. 14 Question complexity lead us to Algorithms Can we find all the patient with similar but not exactly the same journey? How connected are physicians in their treatment of patients? April 2020
  • 15. 15 Patient Journey Similarity: Optimistic of the possibilities April 2020
  • 17. Insights from our work with graphs 17 Physicians work in tightly connected groups with patient care spread among the team No two patient journeys are the same but there are similarities Graph modeling requires a change in mindset
  • 19. 19 Graphs to highlight connections that matter • Leverage graphs to better understand physician to health system connectedness • Finding influence points where physicians who have experienced positive outcomes with patients connect to other physicians who may still have questions
  • 20. 20 Focus on insights from the patient journey • More patient journey mapping to help focus our conversations with health care providers on the patients our medicines can help the most • And if we do this well….. Hopefully build predictive algorithms to help prevent avoidable events like re-hospitalization
  • 22. Confidentiality Notice This file is private and may contain confidential and proprietary information. If you have received this file in error, please notify us and remove it from your system and note that you must not copy, distribute or take any action in reliance on it. Any unauthorized use or disclosure of the contents of this file is not permitted and may be unlawful. AstraZeneca PLC, 1 Francis Crick Avenue, Cambridge Biomedical Campus, Cambridge, CB2 0AA, UK, T: +44(0)203 749 5000, www.astrazeneca.com 22