The document discusses Illumina's role in advancing precision medicine through next-generation sequencing and data analytics. It notes that while sequencing costs have decreased dramatically, challenges remain in interpreting, integrating, and analyzing the large volumes of genomic and other healthcare data. Illumina aims to develop comprehensive, patient-centric analytics platforms and knowledgebases to help address these challenges and enable more effective prevention, diagnosis, and treatment based on a patient's genetics, environment, and lifestyle. The success of these efforts will be measured by improvements in patient outcomes, healthcare costs and efficiencies, and changes in clinical practice guided by integrated genomic and clinical data analysis.
Presentation Alliance of European Life Sciences Law Firms
(Julian Hitchcock and Sofie van der Meulen) on legal aspects of big data in pharma. Topics: privacy, IP, medical devices and IVD.
Our Journey to Release a Patient-Centric AI App to Reduce Public Health CostsDatabricks
Health costs are exploding year by year. Thanks to Artificial Intelligence it is possible to address patient needs in a cost-efficient manner.
In the case we will present, we will demonstrate how as part of a telemedicine service we implemented a solution allowing to reduce triage cost of patients by leveraging AI. The app we developed not only allowed to reduce cost but is significantly improving the patient experience.
Big Data and its Impact on Industry (Example of the Pharmaceutical Industry)Hellmuth Broda
While we bemoan the ever increasing data tsunami new technologies allow to harvest the gold nuggets in the hay stack.
Using the example of the Pharmaceutical Industry some of the possible business uses for Big Data Analitics are outlined.
Presentation Alliance of European Life Sciences Law Firms
(Julian Hitchcock and Sofie van der Meulen) on legal aspects of big data in pharma. Topics: privacy, IP, medical devices and IVD.
Our Journey to Release a Patient-Centric AI App to Reduce Public Health CostsDatabricks
Health costs are exploding year by year. Thanks to Artificial Intelligence it is possible to address patient needs in a cost-efficient manner.
In the case we will present, we will demonstrate how as part of a telemedicine service we implemented a solution allowing to reduce triage cost of patients by leveraging AI. The app we developed not only allowed to reduce cost but is significantly improving the patient experience.
Big Data and its Impact on Industry (Example of the Pharmaceutical Industry)Hellmuth Broda
While we bemoan the ever increasing data tsunami new technologies allow to harvest the gold nuggets in the hay stack.
Using the example of the Pharmaceutical Industry some of the possible business uses for Big Data Analitics are outlined.
Healthcare and Life Sciences organizations are leveraging Big Data technology to capture data in order to get a better insight into patient centric and research centric information. Combining these two requires extreme computing power. We will discuss use cases where Big Data technology was instrumental ; Merging Genomic and Clinical Data in order to advance personalized Medicine
apidays LIVE India - The digitisation of healthcare by Dr S.S. Lal, Global Fo...apidays
apidays LIVE India 2021 - Connecting 1.3 billion digital innovators
May 20, 2021
The digitisation of healthcare
Dr S.S. Lal, President of Global Foundation for Health and Hygiene
Evolution in the Role of Patient Participation in Clinical ResearchCraig Lipset
Presentation by Craig Lipset at Precision Medicine World Congress (Palo Alto CA, 24 January 2020).
This presentation shares a "top 10 list" of places where patient participation in research is facing radical change for the better.
(HLS305) Transforming Cancer Treatment: Integrating Data to Deliver on the Pr...Amazon Web Services
In the past ten years, the cost of sequencing a human genome has fallen from $3 billion dollars to $1,000, unlocking the ability for clinicians to use genomics in routine care. As the volume of genomic data used in the clinic begins to grow, healthcare providers are facing a number of new IT challenges, such as how to integrate this data with clinical data stored in electronic medical records, and how to make both available in real time to inform clinical decisions. In this session, find out how UCSF Medical Center and Syapse met these challenges head-on and solved them using AWS, all while remaining compliant with privacy and security requirements. Learn how Syapse's precision medicine platform uses Amazon VPC, Dedicated Instances, Amazon EC2, and Amazon EBS to build a high performance, scalable, and HIPAA-compliant data platform that enables UCSF to deliver on the promise of precision medicine by dramatically reducing time and increasing the accuracy and utility of genomic profiling in cancer treatment.
Big Data Analytics for Healthcare Decision Support- Operational and ClinicalAdrish Sannyasi
Splunk’s data analytics platform could be utilized to solve many high impact business problems in healthcare delivery systems to reduce cost, improve patient outcome and safety, and enhance care coordination experience. Analyze observed behavior from healthcare event data and metadata to discover patterns, monitor compliance, and optimize the workflow. Furthermore 80% of healthcare data is unstructured (clinical free text and documentation), or semi-structured and many new data sources are such as tele health, mobile health, sensors, and devices are getting integrated in many healthcare systems specifically in the area of chronic disease management. So, one need analytics software that can harvest, interpret, enrich, normalize, and model diverse structured and unstructured data and analytics approaches that embrace the “data turmoil” by relying less on standardized data items and more on the capability to process data in any format.
mHealth Israel_Growth Opportunities in Clinical Trial Execution_Craig LipsetLevi Shapiro
Craig Lipsent, former Worldwide Head of Clinical Innovation at Pfizer, presents to the mHealth Israel Community, Feb, 2020. Theme: Clinical trials are vital for developing new medicines but they are broken. Clinical trial trends include the increasing attention and investment in participant & investigator experience
Digitization and innovative data capture. Forecast for clinical trials will be decentralized, distributed, democratized and disruptive.
mHealth Israel_Hospitals and Healthcare Data_Carol Gomes_Stony Brook Universi...Levi Shapiro
Presentation by Carol Gomes, CEO / COO, Stony Brook University Hospital: Hospitals + Healthcare Data. Key Sections:
- Overview of Stony Brook Medicine Health System
- IT capital planning process
- Transition from Fee-for-Service
- Clinically Integrated Network
- Population Health Analytics Platform
- REGISTRIES – Benchmarking Quality
- Digital Transformation- Business & Clinical Capacity
- Transformation Projects: Analytics; Real-Time Health System Capabilities; Telehealth Services; Command Center Capabilities
- Command Center: Centralized Throughput Office (CTO)
- Command Throughput Office Dashboard
- Real-Time Dashboards
- Early Progress of Command Throughput Office (Boarders, Cases)
- Mobile STROKE Unit Program
- Telemedicine / TeleHealth
- Stony Brook University Hospital awarded $966,026
- Data Strategy in Decentralized Environment
- Call to Action for Startups
Everything you want to know about role of artificial intelligence in drug discovery.
Artificial intelligence in health care and pharmacy, drug discovery, tensorflow, python,
deep neural network, GANs
AI in drug discovery and development
AI in clinical trials
This white paper offers a detailed perspective on how big data is impacting the healthcare industry and its underlying implication on the industry as a whole. It outlines the role of big data in healthcare, its benefits, core components and challenges faced by the healthcare sector towards full-fledged adoption & implementation.
my students use ideas from my class on business models to develop a business model for ion proton's DNA sequencer. This sequencer uses semiconductor technology to read an organism's DNA sequence and is faster and cheaper than existing sequencers. This presentation describes the value proposition, customer selection, method of value capture and other aspects of a business model for Ion Proton's DNA sequencer
Healthcare and Life Sciences organizations are leveraging Big Data technology to capture data in order to get a better insight into patient centric and research centric information. Combining these two requires extreme computing power. We will discuss use cases where Big Data technology was instrumental ; Merging Genomic and Clinical Data in order to advance personalized Medicine
apidays LIVE India - The digitisation of healthcare by Dr S.S. Lal, Global Fo...apidays
apidays LIVE India 2021 - Connecting 1.3 billion digital innovators
May 20, 2021
The digitisation of healthcare
Dr S.S. Lal, President of Global Foundation for Health and Hygiene
Evolution in the Role of Patient Participation in Clinical ResearchCraig Lipset
Presentation by Craig Lipset at Precision Medicine World Congress (Palo Alto CA, 24 January 2020).
This presentation shares a "top 10 list" of places where patient participation in research is facing radical change for the better.
(HLS305) Transforming Cancer Treatment: Integrating Data to Deliver on the Pr...Amazon Web Services
In the past ten years, the cost of sequencing a human genome has fallen from $3 billion dollars to $1,000, unlocking the ability for clinicians to use genomics in routine care. As the volume of genomic data used in the clinic begins to grow, healthcare providers are facing a number of new IT challenges, such as how to integrate this data with clinical data stored in electronic medical records, and how to make both available in real time to inform clinical decisions. In this session, find out how UCSF Medical Center and Syapse met these challenges head-on and solved them using AWS, all while remaining compliant with privacy and security requirements. Learn how Syapse's precision medicine platform uses Amazon VPC, Dedicated Instances, Amazon EC2, and Amazon EBS to build a high performance, scalable, and HIPAA-compliant data platform that enables UCSF to deliver on the promise of precision medicine by dramatically reducing time and increasing the accuracy and utility of genomic profiling in cancer treatment.
Big Data Analytics for Healthcare Decision Support- Operational and ClinicalAdrish Sannyasi
Splunk’s data analytics platform could be utilized to solve many high impact business problems in healthcare delivery systems to reduce cost, improve patient outcome and safety, and enhance care coordination experience. Analyze observed behavior from healthcare event data and metadata to discover patterns, monitor compliance, and optimize the workflow. Furthermore 80% of healthcare data is unstructured (clinical free text and documentation), or semi-structured and many new data sources are such as tele health, mobile health, sensors, and devices are getting integrated in many healthcare systems specifically in the area of chronic disease management. So, one need analytics software that can harvest, interpret, enrich, normalize, and model diverse structured and unstructured data and analytics approaches that embrace the “data turmoil” by relying less on standardized data items and more on the capability to process data in any format.
mHealth Israel_Growth Opportunities in Clinical Trial Execution_Craig LipsetLevi Shapiro
Craig Lipsent, former Worldwide Head of Clinical Innovation at Pfizer, presents to the mHealth Israel Community, Feb, 2020. Theme: Clinical trials are vital for developing new medicines but they are broken. Clinical trial trends include the increasing attention and investment in participant & investigator experience
Digitization and innovative data capture. Forecast for clinical trials will be decentralized, distributed, democratized and disruptive.
mHealth Israel_Hospitals and Healthcare Data_Carol Gomes_Stony Brook Universi...Levi Shapiro
Presentation by Carol Gomes, CEO / COO, Stony Brook University Hospital: Hospitals + Healthcare Data. Key Sections:
- Overview of Stony Brook Medicine Health System
- IT capital planning process
- Transition from Fee-for-Service
- Clinically Integrated Network
- Population Health Analytics Platform
- REGISTRIES – Benchmarking Quality
- Digital Transformation- Business & Clinical Capacity
- Transformation Projects: Analytics; Real-Time Health System Capabilities; Telehealth Services; Command Center Capabilities
- Command Center: Centralized Throughput Office (CTO)
- Command Throughput Office Dashboard
- Real-Time Dashboards
- Early Progress of Command Throughput Office (Boarders, Cases)
- Mobile STROKE Unit Program
- Telemedicine / TeleHealth
- Stony Brook University Hospital awarded $966,026
- Data Strategy in Decentralized Environment
- Call to Action for Startups
Everything you want to know about role of artificial intelligence in drug discovery.
Artificial intelligence in health care and pharmacy, drug discovery, tensorflow, python,
deep neural network, GANs
AI in drug discovery and development
AI in clinical trials
This white paper offers a detailed perspective on how big data is impacting the healthcare industry and its underlying implication on the industry as a whole. It outlines the role of big data in healthcare, its benefits, core components and challenges faced by the healthcare sector towards full-fledged adoption & implementation.
my students use ideas from my class on business models to develop a business model for ion proton's DNA sequencer. This sequencer uses semiconductor technology to read an organism's DNA sequence and is faster and cheaper than existing sequencers. This presentation describes the value proposition, customer selection, method of value capture and other aspects of a business model for Ion Proton's DNA sequencer
New High Throughput Sequencing technologies at the Norwegian Sequencing Centr...Lex Nederbragt
A talk I gave at the Microbiology Research Group (University of Oslo) about new High Throughput Sequencing instruments at the Norwegian Sequencing Centre. I also mentioned future upgrades, and the upcoming nanopore sequencing platform of Oxford nanopore
Molecular QC: Interpreting your Bioinformatics PipelineCandy Smellie
What is the impact of assay failure in your laboratory and how do you monitor for it?
The most heavily degraded samples are not suitable for standard exome coverage: sometimes it’s not even a matter of getting bad sequencing, you might get nothing at all!
FFPE artifacts increase with storage time
Artifacts go against the statistical power of your variant calling analysis
Molecular reference standards help filter out bad mappings and spurious variants
Bioinformatics pipelines allow adding Molecular Reference Standards in your joint variant calling pipeline
Genome In A Bottle Reference Standards are invaluable for validating variant calling analysis
NIST and its collaborators shared datasets created with most NGS technologies
Horizon Diagnostics shared annotated, merged variant calls from NIST for the Ashkenazim Trio
~35K variants are predicted having high or moderate impact within the Trio
GM24385 (Ashkenazim Son) includes 352 small variants with high/moderate impact which are absent in Father and Mother
Routinely monitor the performance of your workflows and assays with independent external controls
Dr. Douglas Marthaler - Use of Next Generation Sequencing for Whole Genome An...John Blue
Use of Next Generation Sequencing for Whole Genome Analysis of Pathogens - Dr. Douglas Marthaler, Veterinary Diagnostic Laboratory, College of Veterinary Medicine, University of Minnesota, from the 2016 Allen D. Leman Swine Conference, September 17-20, 2016, St. Paul, Minnesota, USA.
More presentations at http://www.swinecast.com/2016-leman-swine-conference-material
NGS Targeted Enrichment Technology in Cancer Research: NGS Tech Overview Webi...QIAGEN
This slidedeck discusses the most biologically efficient, cost-effective method for successful NGS. The GeneRead DNA QuantiMIZE Kits enable determination of the optimum conditions for targeted enrichment of DNA isolated from biological samples, while the GeneRead DNAseq Panels V2 allow you to quickly and reliably deep sequence your genes of interest. Applications in translational and clinical research are highlighted.
Knowing Your NGS Upstream: Alignment and VariantsGolden Helix Inc
Alignment algorithms are not just about placing reads in best-matching locations to a reference genome. They are now being expected to handle small insertions, deletions, gapped alignment of reads across intron boundaries and even span breakpoints of structural variations, fusions and copy number changes. At the same time, variant-calling algorithms can only reach their full potential by being intimately matched to the aligner's output or by doing local assemblies themselves. Knowing when these tools can be expected to perform well and when they will produce technical artifacts or be incapable of detecting features is critical when interpreting any analysis based on their output.
This presentation will compare the performance of the alignment and variant calling tools used by sequencing service providers including Illumina Genome Network, Complete Genomics and The Broad Institute. Using public samples analyzed by each pipeline, we will look at the level of concordance and dive into investigating problematic variants and regions of the genome.
Next-Generation Sequencing an Intro to Tech and Applications: NGS Tech Overvi...QIAGEN
This slidedeck provides a technical overview of DNA/RNA preprocessing, template preparation, sequencing and data analysis. It covers the applications for NGS technologies, including guidelines for how to select the technology that will best address your biological question.
Course: Bioinformatics for Biomedical Research (2014).
Session: 2.1.2- Next Generation Sequencing. Technologies and Applications. Part II: NGS Applications I.
Statistics and Bioinformatisc Unit (UEB) & High Technology Unit (UAT) from Vall d'Hebron Research Institute (www.vhir.org), Barcelona.
Wake up Pharma and look into your Big data Yigal Aviv
The vast volumes of medical data collected offers pharma the opportunity to harness the information in big data sets
Unlocking the potential in these data sources can ultimately lead to improved patients outcomes
This presentation describes consideration how to maximize the impact of Big Data.
its methodology, practical challenges and implications.
As the author of “Big Data in Healthcare Hype and Hope,” Dr. Feldman has interviewed over 180 emerging tech and healthcare companies, always asking, “How can your new approach help patients?” Her research shows that data, as an enabling tool, has the power to give us critical new insights into not only what causes disease, but what comprises normal. Despite this promise, few patients have reaped the benefits of personalized medicine. A panel of leading big data innovators will discuss the evolving health data ecosystem and how big data is being leveraged for research, discovery, clinical trials, genomics, and cancer care. Case studies and real-life examples of what’s working, what’s not working, and how we can help speed up progress to get patients the right care at the right time will be explored and debated.
• Bonnie Feldman, DDS, MBA - Chief Growth Officer, @DrBonnie360
• Colin Hill - CEO, GNS Healthcare
• Jonathan Hirsch - Founder & President, Syapse
• Andrew Kasarskis, PhD - Co-Director, Icahn Institute for Genomics & Multiscale Biology; Associate Professor, Genetics & Genomic Studies, Icaahn School of Medicine at Mt. Sinai
• William King - CEO, Zephyr Health
New York eHealth Collaborative Digital Health Conference
November 18, 2014
Thomas Willkens-El impacto de las ciencias ómicas en la medicina, la nutrició...Fundación Ramón Areces
El 29 de marzo de 2016 celebramos un Simposio Internacional sobre el 'Impacto de las ciencias ómicas en la medicina, nutrición y biotecnología'. Organizado por la Fundación Ramón Areces en colaboración con la Real Academia Nacional de Medicina y BioEuroLatina, abordó cómo un mejor conocimiento del genoma humano está permitiendo notables avances hacia una medicina de precisión.
A look at the key trends and challenges in applying Big Data to transform healthcare by supporting research, self care, providers and building ecosystems. Purchase the report here: https://gumroad.com/l/PlXP
A Trust-Centric Healthcare Journey Part II | Full Presentation of PharmaLedge...PharmaLedger
In this presentation, you will find:
An introduction to the PharmaLedger project presented by Maria Eugenia (Xenia) Beltran | Project Coordinator / DRA and Use Case co-lead (Universidad Politécnica de Madrid)
Topic 1 | Clinical Trial eRecruitment | Despina Daliani (Onorach) and Ken Nessel (Pfizer)
Topic 2 | Clinical Trial eConsent | Hernando C. Giraldo (Boehringer Ingelheim) and Despina Daliani (Onorach)
Topic 3 | Health Data IoT Medical Device | Disa Lee Choun (UCB) and Francesca Rocchi (Bambino Gesù Children Hospital)
Topic 4 | Health Data Personalised Medicine | Beatriz Merino (Universidad Politécnica de Madrid) and Christos Kontogiorgis (Democritus University of Thrace)
You can also learn more about our #2 Open Webinar on Clinical Trials & Health Data by rewatching our video recording including the Q&A by clicking on the button below:
This project has received funding from the Innovative Medicines Initiative 2 Joint Undertaking under grant agreement No 853992. This Joint Undertaking receives support from the European Union’s Horizon 2020 research and innovation programme and EFPIA.
Disclaimer: Any information on this presentation solely reflects the author’s view and neither IMI nor the European Union or EFPIA are responsible for any use that may be made of the information contained herein.
OSU Medical Center CEO Steven Gabbe, MD delivers a talk on facilitating learning healthcare systems: Focus on approaches to leverage Health IT investments for advancements in research and personalized healthcare and learning from every patient.
This session will focus on the usages of HIT to learn from every patient so that this knowledge can be used to further the practice of medicine. The discussion will address the implications for research, privacy, and HIT to change the paradigm of advancing healthcare discoveries so that it is a continuous process driven through every patient interaction.
Patient-Centered Care Requires Patient-Centered Insight: What We Can Do To C...Health Catalyst
Health systems and providers are inundated with measurement systems and reporting. Why would we want to add to the measurement mayhem? The real question is, “Are we measuring what matters?”
Carolyn Simpkins MD, PhD, chief medical informatics officer, will discuss how putting the patient at the center of the measurement matrix can bring coherence and completeness to the picture of care delivery performance across the patient journey, and therefore the performance of the healthcare ecosystem.
She will describe the building blocks for patient-centered measurement and how other metrics, patient-reported outcomes, and patient satisfaction fit into this approach. Carolyn will also review the challenges that have kept health systems from completing a patient-centered outcomes approach and why we are poised to break through. Finally, she will share case studies of organizations who have begun to pioneer the use of patient centered metrics to improve care and outcomes.
Development and implementation of a system to support prediction of suicide risk in the Department of Veterans Affairs - DR. Robert Bossarte and Paul Bradley
Navigating the Health Insurance Market_ Understanding Trends and Options.pdfEnterprise Wired
From navigating policy options to staying informed about industry trends, this comprehensive guide explores everything you need to know about the health insurance market.
QA Paediatric dentistry department, Hospital Melaka 2020Azreen Aj
QA study - To improve the 6th monthly recall rate post-comprehensive dental treatment under general anaesthesia in paediatric dentistry department, Hospital Melaka
Defecation
Normal defecation begins with movement in the left colon, moving stool toward the anus. When stool reaches the rectum, the distention causes relaxation of the internal sphincter and an awareness of the need to defecate. At the time of defecation, the external sphincter relaxes, and abdominal muscles contract, increasing intrarectal pressure and forcing the stool out
The Valsalva maneuver exerts pressure to expel faeces through a voluntary contraction of the abdominal muscles while maintaining forced expiration against a closed airway. Patients with cardiovascular disease, glaucoma, increased intracranial pressure, or a new surgical wound are at greater risk for cardiac dysrhythmias and elevated blood pressure with the Valsalva maneuver and need to avoid straining to pass the stool.
Normal defecation is painless, resulting in passage of soft, formed stool
CONSTIPATION
Constipation is a symptom, not a disease. Improper diet, reduced fluid intake, lack of exercise, and certain medications can cause constipation. For example, patients receiving opiates for pain after surgery often require a stool softener or laxative to prevent constipation. The signs of constipation include infrequent bowel movements (less than every 3 days), difficulty passing stools, excessive straining, inability to defecate at will, and hard feaces
IMPACTION
Fecal impaction results from unrelieved constipation. It is a collection of hardened feces wedged in the rectum that a person cannot expel. In cases of severe impaction the mass extends up into the sigmoid colon.
DIARRHEA
Diarrhea is an increase in the number of stools and the passage of liquid, unformed feces. It is associated with disorders affecting digestion, absorption, and secretion in the GI tract. Intestinal contents pass through the small and large intestine too quickly to allow for the usual absorption of fluid and nutrients. Irritation within the colon results in increased mucus secretion. As a result, feces become watery, and the patient is unable to control the urge to defecate. Normally an anal bag is safe and effective in long-term treatment of patients with fecal incontinence at home, in hospice, or in the hospital. Fecal incontinence is expensive and a potentially dangerous condition in terms of contamination and risk of skin ulceration
HEMORRHOIDS
Hemorrhoids are dilated, engorged veins in the lining of the rectum. They are either external or internal.
FLATULENCE
As gas accumulates in the lumen of the intestines, the bowel wall stretches and distends (flatulence). It is a common cause of abdominal fullness, pain, and cramping. Normally intestinal gas escapes through the mouth (belching) or the anus (passing of flatus)
FECAL INCONTINENCE
Fecal incontinence is the inability to control passage of feces and gas from the anus. Incontinence harms a patient’s body image
PREPARATION AND GIVING OF LAXATIVESACCORDING TO POTTER AND PERRY,
An enema is the instillation of a solution into the rectum and sig
Navigating Challenges: Mental Health, Legislation, and the Prison System in B...Guillermo Rivera
This conference will delve into the intricate intersections between mental health, legal frameworks, and the prison system in Bolivia. It aims to provide a comprehensive overview of the current challenges faced by mental health professionals working within the legislative and correctional landscapes. Topics of discussion will include the prevalence and impact of mental health issues among the incarcerated population, the effectiveness of existing mental health policies and legislation, and potential reforms to enhance the mental health support system within prisons.
CHAPTER 1 SEMESTER V PREVENTIVE-PEDIATRICS.pdfSachin Sharma
This content provides an overview of preventive pediatrics. It defines preventive pediatrics as preventing disease and promoting children's physical, mental, and social well-being to achieve positive health. It discusses antenatal, postnatal, and social preventive pediatrics. It also covers various child health programs like immunization, breastfeeding, ICDS, and the roles of organizations like WHO, UNICEF, and nurses in preventive pediatrics.
Telehealth Psychology Building Trust with Clients.pptxThe Harvest Clinic
Telehealth psychology is a digital approach that offers psychological services and mental health care to clients remotely, using technologies like video conferencing, phone calls, text messaging, and mobile apps for communication.
The dimensions of healthcare quality refer to various attributes or aspects that define the standard of healthcare services. These dimensions are used to evaluate, measure, and improve the quality of care provided to patients. A comprehensive understanding of these dimensions ensures that healthcare systems can address various aspects of patient care effectively and holistically. Dimensions of Healthcare Quality and Performance of care include the following; Appropriateness, Availability, Competence, Continuity, Effectiveness, Efficiency, Efficacy, Prevention, Respect and Care, Safety as well as Timeliness.
2. 2
Advance research and make new
medical breakthroughs
– Gives insight into symptoms you
have today
– Suggests symptoms/predisposition
for your future
– Guides drug choices
– Suggests conditions your children
might be at risk for
Based on genetics, environment,
and lifestyle
The Precision Medicine Revolution
Better prevention, diagnosis, prognosis, and treatment
5. 5
Business Driver
Healthcare data will be big, real BIG
Omics
Sensor
Electronic Medical Record
Health Info Exchange
Personal Health Record
Claims
Social
Relative volume of healthcare-relevant
data for a given person
6. 6
Healthcare Needs a Comprehensive,
Patient-Centric View of Information
Individual
Therapy Adherence
Family Time
Value
Electronic Health
Information
Diet, Lifestyle
and Exercise
EnvironmentGenetics
Omics Data
7. 7
Informatics Barriers to Realizing the Promise
Immaturity
Interpretation
Integration
• DIY legacy
• Unprepared for scale
• Tedious curation
• Scarce geneticists
• Multiple point solutions
• Manual processes
9. 9
The Interpretation Conundrum
“People to curate is the slow leg … it’s still largely manual”
Dr. Jason Merker, Stanford Hospital
3 billion
Base Pairs
1.5 million
Variants
1-10
Variants of Significance
10. 10
What Makes Informatics a Challenge
And an opportunity in the clinics
Diversity of of
genotypic/ phenotypic
data is daunting
Defined workflows
(mostly) do not exist
Lack of bioinformatics
resources
Underlying science
constantly evolving
Lack of budget
Balance of
security/privacy vs.
need to share
Drives the need for off-the-shelf
informatics solutions
11. 11
We need analytics that can answer the hard
questions like…
Challenge: Multiple Data Sources Make Producing
Usable Analytics Extremely Challenging
These questions may require data from many
source systems to be properly merged
CLINICAL
IMAGING
BILLING
CLAIMS
CENSUS/MARKET
CALL CENTER
BENCHMARK
GENOMICS
CLINICAL TRIALS
BIOBANKS
BASIC RESEARCH
ALLHOSPITALSAMC/LS
Many Data Silos
Data Integration
Challenging
Lots of Data – Few Insights
• How might the presence/absence of a given
variant guide my treatment decisions?
• How valuable are your samples?
• Is this patient a fast or slow metabolizer of drug
X, Y or Z?
• Do you know the cost associated with storing
samples if not accessed?
• 1 year
• 10 years
• 20 years
• By combining phenotypic & genotypic data with
a patient’s EMR, can we determine the best
therapeutic course?
12. 12
Challenge: Critical Healthcare Provider Information Is
"Unstructured" With Formats Not Addressable With
Current Tools
Data from many disparate
internal systems must be
merged & synthesized
Over 60% of useful data is
often housed in
unstructured data fields
External comparative &
demographic data sources
add more complexity
Content Systems,
Files, Email
Web & Social Media
Unstructured Data
Physician Notes
OLTP & ODS
Systems
Enterprise Applications
(Oracle, SAP, Others)
Data Warehouse
& Data Marts
Structured Data
13. 13
Challenge: Current Analytics Creation, Distribution & Consumption
Processes Are Highly Manual at Most Providers
Inefficient, expensive, inflexible processes
Multiple Data
Sources
Manual Data
Manipulation &
Report Distribution
Inconsistent Views
by Recipients, Lack
of Mobility
Genomics
Quality/
Outcomes
Other
Operational
Data
Patient
Accounting
Limiting knowledge workers from making timely decisions when and where they are
needed, reducing overall staff efficiency, and introducing compliance risks
14. 14
The Transformation of Healthcare Will Require
the Entire Value Chain to Evolve
Collaborating across the life sciences and healthcare industries
improves care, lowers costs and delivers greater value
R&D
Productivity
Translational
Medicine
Quality
& Safety
Personalized
Care
Participatory
& Preventive Care
Diagnostics
Pharma/Biotech
Medical Devices
Clinical
Research
Care
Delivery
Care
Management
Population/
Global Health
Value-based healthcare
Discovery
Research
15. 15
Our Vision
Advance human health by unlocking
the power of the genome
Advance human health by unlocking
the power of the genome
17. 17
Healthcare From a Patient’s Perspective
Only a fraction of “treatments” are evidenced-based
It takes 10+ years for evidence to be widely adopted
Complete care is rendered only 50% of the time
We patients only adhere to our meds 50% of the time
Treatments result in adverse events and even death far too often
All of this is terribly expensive (and we are starting to pay for it)
And, the whole system is not designed by and for us, the patients!
18. 18
Contact
Time
Discharge Date
02-25-10
1 Week
03-04-10
1 Month
04-04-10
3 Months
07-04-10
5 Months
12-04-10
Patient’s Healthcare Experience
Patient Controlled
Knee/Hip Replacement Patients
4 1/2-hour appointments
Over 5 months time
0.00125% of patient’s healthcare experience
19. 19
Social Network Analysis of Whatcom Medicare
Care Transitions:
When Patients Transition Following Hospitalization Where Do They Go?
Data source: All FFS Medicare transitions from part A and part B claims data covering the period 1/1/2009 - 1/31/2010 .
Prepared by Qualis Health, the Medicare Quality Improvement Organization for Washington, under contract with the Centers for Medicare & Medicaid Services (CMS), an agency of the U.S. Department of Health and Human
Services. The contents presented do not necessarily reflect CMS policy.
The Most Central
Receiver of Data in
This Network is
The Home
20. 20
Better Health Through Patient Engagement
Source: World Health Organization – Social Determinants of Health, October 2011
Patient Engagement!
$ 3,000,000,000,000 / yr
22. 22
All Diseases have a Genetic Component
CancerInfectious
Complex Disease
“Genetics loads the gun and the
environment pulls the trigger”
– Francis Collins
Mendelian
23. 23
Drug-Centered Oncology Rx: Traditional Approach
The (One) Drug
▶ One drug… that is effective in a small fraction of patients…
▶ Requires a (single-target) CDx for each patient… to identify likely responders
The PatientsThe “Companion” Test (single-target)
24. 24
Precision Oncology Treatment
From companion diagnostics to precision medicine
The Patient Multi-target Test
Target 1
Target 2
Target 3
CRx
The Drug
25. 25
Data Mining
New Knowledge
Published LiteraturePatient Data (Public, Private)
Literature Curation
New Paradigm: Data-Driven Discovery
Data Standardization
My Population Knowledge
Global Knowledge
My Patient Populations
Global Patient Populations
Patient Knowledgebase Biomarker Knowledgebase
Clinical Translational Clinical Reporting
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Open Platform Enables Big Data Analytics for
Clinical Genomics
Illumina Platform
Optimized pipeline
or highly skilled
curation team for
ingesting public and
private genomic (&
clinical) data
Highly effective data
correlation engine –
millions of associations
and correlations
pre-computed
Advanced analytical
and visualization tools
offer a means of
exploration & analysis
by experts &
non experts alike
Knowledgebase
Provides annotation,
interpretation
drives report generation
APIs
Secure Data Center
Data Encryption
HIPAA Compliant
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We Aim to Achieve the Following…
Patient to answer in a standardized, integrated platform
LIS
EHR
Billing
Informed
clinical
decision
FDA
CMS
NCCN
CAP/CLIA
Stakeholders
aligned around a
standard
Specimen
processing
Library
preparation
Sequencing
analysis
Informatics
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Clinical evidence
– Patient outcomes
Health Economics
– Operational efficiencies of NGS
– Total costs to the system
Clinical impact through change in management behavior
– Courses of treatment, timing
– Testing
How Will We Know If We’re Succeeding?