A look at the key trends and challenges in applying Big Data to transform healthcare by supporting research, self care, providers and building ecosystems
A look at the key trends and challenges in applying Big Data to transform healthcare by supporting research, self care, providers and building ecosystems
Rock Report: Big Data by @Rock_HealthPresentation Transcript
BIG DATAin digital health A ROCK REPORT BY
We wanted to know more about the status and potential of big data and health. This report sources data and feedback from interviews conducted withAbout this entrepreneurs and investors working in the space as well as industry research.REPORT Thanks to100 Plus, Appistry, Asthmapolis, Athena, Dell, DNAnexus, Explorys, Factual, Genome Health Solutions, Ginger.io, GNS Healthcare, Health Fidelity, Humedica, Humetrix, IBM, IHME, Microsoft, NextBio, One Health, Practice Fusion, Predixion, Qualcomm Life, Sickweather, Sproxil, The Broad, WellDoc, X-Prize, Zeo, who all contributed their minds and thoughts to this report. Produced by Leslie Ziegler Dr. Bonnie Feldman @lesliejz @drbonnie360 Rock Health is a nonprofit foundation focused on the intersection of healthcare and technology. We support the next generation of health entrepreneurs through a startup accelerator, open-source research and public events. Rock Health partners include Aberdare Ventures, Fenwick & West, GE, Genentech, Harvard Medical School, Kleiner Perkins, Mayo Clinic, Merck, Mohr Davidow Ventures, NEA, Nike, Qualcomm, Silicon Valley Bank, United Health and UCSF. For more information, visit rockhealth.com
35000EB 7910EB 2720EB130EB 422EB 1227EB2005 2008 2010 2012 2015 2020 EB = exabytes The amount of data is growing 40 TIMES as fast as the world population
So, what is big data?“ Big Data is the fuel–it is like oil, if you have it in the ground it doesn’t “ When we talk about areas of large and growing volume (petabytes), variety (structured have much value. As soon as you vs unstructured) and high- extract the oil from the ground and velocity data; when those things start to refine it, it amplifies not ” are present in some combination, ” only its usefulness but its value. we consider that big data. Stephen Gold, Tom Lawry, VP of World Wide Marketing Director, World Wide at IBM Watson Marketing at Microsoft
The big data market will hit$50B in five years $53.4B $32.1B $5.1B 2012 2015 2017 Source: Wikibon
Big data could save healthcare$300B+ per year $25-50B $125-175B $175-250B Poorly coordinated care Fraud & abuse Administrative & clinical inefficiency Source: IBM IT-enabled personalized healthcare
The four VsOF BIG DATA Volume Variety (amount) (type & sources) Velocity Veracity (speed) (quality & trust)
New streams are producing even more data.Volume By 2015, there will be1Bsmartphones 1B computers personal 400M tablets
Variety Structured vs. Unstructured“ The fact is that healthcare is like any other industry where 80% of “ We spend time thinking of structured data, data that goes into databases and can be nicely the content is unstructured and put into rows and columns, but the remaining is structured to use all of a sudden we find ourselves by machine processes. ” with the majority of information being unstructured, not just in ” text but in other forms. Dan Riskin, Stephen Gold, CEO at Health Fidelity VP of Worldwide Marketing at IBM Watson
Healthcare is primed for big data New data streams Better analytic tools “ Health care, from a technology perspective, is at least a decade More rapid IT development behind the rest of the world. ” Healthcare cost/quality problems Jeremy Delinsky, Need for big data CTO at Athena Health
And these new data streams arecreating new opportunities EXISTING DATA NEW DATA Claims Sensors Clinical trials Mobile phones Genomics Web EMR EHR Personalized medicine Preventative medicine Correct diagnosis the first time Identify problems Match treatment to patient Reduce readmissions Decrease costs over time Forestall hospital acquired infections
So, who cares? Payers Providers Stratify population risk Real time access to data Guide them to new business models Tech as tool, not encumbrance Medical Device Companies Governments Enable real-time data monitoring Reduce costs Integrate personal data with medical Maximize social value of data Pharmaceutical Companies Software Access data points Reduce product failures Exploit growing markets Patients Seamless flow of tech into medical care Error-free, compassionate care
6 ways big data couldchange healthcare 1. Support research: genomics and beyond 2. Transform data to information 3. Support self care 4. Support providers 5. Increase awareness 6. Pool data to build an ecosystem
Genomics & beyond Offers a cloud-based, community-inspired collaborative and scalable data technology platform that provides next generation sequencing (NGS) data management, analysis and visualization. Builds mathematical cause-and-effect models to determine drivers of outcomes. Combines large public datasets with private datasets to enable new and unique discoveries not possible otherwise. Adapts learning from FedEx and the Department of Defense to streamline the storage, management, analysis and interpretation of big data in genomics.
Transform data to information A cloud based EMR and analytics company that focuses on standardizing health record systems across providers. A free cloud based EMR platform for medical practices that also aggregates population data across multiple sites to improve clinical research and public health analysis. Uses natural language processing to turn unstructured data into structured data to address needs in revenue cycle management, compliance and analytics. Uses cloud-based predictive analytics software to explain patterns in hospital datasets to reduce readmissions, and prevent hospital-acquired conditions.
Support self care Analyzing over a million nights of data to help consumers improve their sleep. Uses public and private data to motivate consumers to take small healthy steps to change daily habits via a mobile application. Using automated real-time coaching that integrates behavioral and clinical data to help patients manage chronic diseases such as diabetes. Combines social and clinical data streams with flexible APIs to create the first real-time behavioral health records.
Support providers A clinical informatics company that provides SaaS business intelligence using clinical and patient information across varied settings and time periods to generate longitudinal and comprehensive views of patient care. Built a cloud-based computing platform that aggregates large amounts of data from many disparate sources–financial, operational, and clinical data from multiple partners. Watson is the first of a new class of analytical platforms and decision support systems that use deep content analysis, evidence-based reasoning and natural language processing to support faster and more precise diagnostics and clinical decision making.
Increase awareness Uses big data to identify counterfeit drugs, to protect patient health and enable pharmaceutical companies to track drug distribution and prevent theft. Collects data from patients and provides them with feedback which helps them better manage their asthma. Scans social media to track outbreaks of disease, offering forecasts to users, similar to weather forecasting. Gathering a variety of big global data sets for data mining that can guide policy decisions to improve population health.
Pool data to create an ecosystem Interdisciplinary science community tackling big medical questions to benefit humanity. Enabling a global wireless health connectivity platform (2net) and open ecosystem that brings healthcare data–new and existing biometric data sources–together in ways that have never been done before. Wants to democratize access to healthcare data.
54% 50% 44% 43% 43% 25% 21%Cultural Aligning Info Data kept Inadequate Lack ofadoption clinical & overload in silos funding governance Not willing tech terms to share dataChallenges:Technology integration Source: PWC Health Research Institute Clinical Informatics Survey, 2011
Trends
TrendWorking with limiteddata sets “ My two year goal is to convince the world that unstructured data What: Using natural language and natural processes should be processing to turn the underlying technology in unstructured data into structured data healthcare. ” Who: Doctors, providers, billing groups, analytics companies Dan Riskin, CEO at Health Fidelity
TrendMixing limited data sets “ Predictive analytics allow you to aggregate the data to see what patterns are realistically making What: Uses predictive analytics to a difference in the decisions explain patterns in the data and minimize hospital you make. ” readmissions. Who: Providers & patients Jamie MacLennan, Cofounder & CEO
TrendCombining a greatervariety of data One Health What: A big data platform to What: Combining social and aggregate, analyze, manage clinical data streams with and research data from flexible APIs to create the various sources for better world’s first real-time patient care at a lower price behavioral health record Who: Providers (healthcare Who: Providers (healthcare facilities), facilities), researchers health plans, employers, (clinical and nonclinical) 3rd party vendors
TrendPooling data for bigger &better results What: Enabling a global wireless health What: Democratizing access to and connectivity platform (2net) healthcare data and open ecosystem that brings healthcare data–new and existing biometric data sources–together Who: Large companies who fund in ways never done before. the effort, doctors, smaller startups, patients Who: Software, analysis and device companies and healthcare providers
The Future
Watson: a peek into the future Volume: Can read up to 200 millionWhat: Machines as papers in under 3 seconds personal assistants to doctors, using Velocity: Monitors real time data and big data to aid articles as published physicians in Variety: Patient EMRs, genomics, clinical decision making data, peer-reviewed publications
What the experts think“ It is no longer about just claims data, where we were five years ago, or EMRs, where we are “ Right now, most of the companies are focused on business-to- business applications. In five today. The future is all about home years, I expect to see a business- health monitoring data, genomics ” to-consumer model where ” data. It’s about the patient. software is made for the individual. Andrew Litt, Don Jones, Global Strategy & Chief Medical Officer Market Development at Dell for Qualcomm Life
Open science movement “ We believe open data is the notion that data is more “ The open source community is there to say everyone has a shot to acceptable and accessible– build something great and everyone less encumbered and a lot works together to make those tools more affordable. ” as good as they can be. ” Eva Ho, Jason Gilder,Vice President of Marketing Director of Data Curation & Operations at Factual at Explorys
E-INSURE Services Inc.
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