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REVOLUTIONIZING THE HEALTHCARE INDUSTRYWITH BIG DATA, ANALYTICSAND VISUALIZATION4 key takeaways Big Data, Analytics and Visualization and what it means for the healthcare industry Major challenges in implementing analytics/BI in healthcare and how eInfochips addresses them eInfochips Case Study in Analytics/BI Data Visualization: A Live Example from the Healthcare Insurance Industry
Revolutionizing the Healthcare Industry with Big Data, Analytics and VisualizationSummarysingle factor which unifies all thesepartner for healthcare companies,In recent times, the global healthcarehealthcare trends, it is Big Data - theit will be shown how eInfochipsindustry valued at US 9.59 trillionhuge gaps faced by the industry inintegrates data from all sources(PwC Report, 2015) has undergoneconverting unstructured information– applications, sensors and IoTsweeping changes in every aspect ofbytes into meaningful businesssmart devices to address the entireits business. These include massiveintelligence.spectrum of healthcare client needsincluding remodeling applicationsadoption of electronic health records(EHR) by governments, hospitalsHealthcare data analytics, a marketfor modern BI, pushing deviceand physicians to full digitizationexpected to grow to US 18.7data to applications and deliveringof research databases and billionsBillion by 2020, sits at the heart ofinteractive dashboards over web,of patient records belonging tovarious transformations shaping themobile and cloud.pharmaceutical and insurancehealthcare industry. This white papercompanies respectively. The onsetby eInfochips aims to showcaseof mobile health apps, wearableour unique capabilities in the datamedical devices, telemedicine andanalytics and visualization spaceautomated medicine dispensers thatas a common service partner forwork like ATMs portend a smart,healthcare players across all stagesdigital-driven future. Furthermore,of the data lifecycle, with multi-there is industry wide focus onproject experience across all leadinghealthcare compliance as perBI/analytics platforms includingstringent regulatory norms alongTableau, Microsoft BI, Jaspersoft,with meeting consumer demandOracle, MongoDB and Hadoop.for affordable medical care throughThrough use cases and examplesinnovative business models like theand our experience as an end-to-Healthcare Alliance. If there is oneend product engineering servicesDid you know?A total of 2.5 quintillion terabytesof data were being generatedevery day in 2012:insurance claims, physiciannotes within the medical record,images from patient scans,conversations about health insocial media, and informationfrom wearables and othermonitoring devices (Source:HBR, 2014)2
Revolutionizing the Healthcare Industry with Big Data, Analytics and VisualizationBackground: The Need for DataAnalytics and VisualizationCloud. In fact, the very nature of bignearly impossible to keep track ofdata refers to business informationinformation formats emerging fromSpreadsheets have been around longthat is streaming in across hundredsmultiple sources.before BI and analytical tools tookof thousands of disconnectedoff in such a big way. Using in-builtsources, rapidly evolving by the Aesthetics – the need forcharts and pictorial representations,minute making it nearly impossibleinteractive visualization:visualizing data is not exactly rocketfor healthcare organizations to keepConverting unstructured data intoscience but considering the businesstrack of spontaneous informationstructured formats is only half thedemands of today, the limitationsbytes. Traditional methods tobattle won. An informed businessof spreadsheet visualizations can noanalyze these information patternsdecision can only be taken whenlonger be ignored. These limitationsis adequate giving rise to tools likethe data can be readily convertedmentioned below, necessitate theMongoDB which can process andinto relevant charts and pictorialrapid inclusion of BI/analytical toolsstore billions of bytes of real timedepictions that enable “real sense”in the corporate decision-makingdata, with hundreds of thousands ofof all the information pouring in.landscape:transactions per second.The sensory creatures that humanbeings are, accurate, aesthetically- The problem of data in motion: The problem of unstructured data:pleasing visuals go a long way inSo far, healthcare corporations wereAnalyzing data is a rather simpleunderstanding the value of theused to dealing with static, storedaffair when all data sources collectbusiness data and “consume” itdata which could be collected frominformation based on unified filefor business decision-making. Datavarious sources before they wereformats. However, the biggestvisualization tools like Tableau,analyzed and interpreted for visualchallenge facing enterprises isSpotfire, etc. have rapidly emergedresults. However, the rapid onset ofthe undefined and unpredictableto address this market need.large data volumes – log files, EHRnature of data emerging in multipledata, patient readings, social mediaformats. Unstructured data can fallsentiments, clickstream informationinto any one of these categories -(“customer clicks on the website”)textual, non-textual, audio, video,means datasets are no longerpresentations, pictures and .rarexpected to reside within a centralfiles. Going hand in hand with theserver or within a fixed place in theproblem of data in motion, it’s3
Revolutionizing the Healthcare Industry with Big Data, Analytics and VisualizationExisting Challenges inImplementing Business Analyticsacross Healthcare Organizations“priority” but also “siloed systems”costs and lack of access to andand “teams not talking to eachawareness (“education”) of relevantother”.technologies. Some healthcareorganizations that can afford it, haveHealthcare organizations includinghospitals, medical councils,Data management, the secondstarted investing millions of dollars inpharmacies, health insurancebiggest challenge in implementingtheir own in-house analytics/BI teamsproviders and associated agenciesbusiness analytics, consists ofemploying system engineers, datahave access to an enormous numbervariables such as “lack of dataarchitects, programmers, visualizationof data records which cover everystandardization”, “the quality ofexperts and experienced consultants.aspect of their business. Despitedata” and “data location factors”.Presently, standalone approachesthe widespread availability of highlyTalent, another major challenge,like these fail to deliver intendedrelevant patient records, it has beenrefers to “lack of skills” and “lackresults since most organizations,found that the very unstructuredof adequate analytics talent” innot just in healthcare but othernature of available data poses theachieving proper data visualizationverticals as well, are relativelysingle biggest hurdle in creatingof disparate results. Also lack ofinexperienced in handling the sheerviable business outcomes. In a PwCintegration capabilities betweenvolume and velocity of Big Data.study, 95% of healthcare CEOs saidorganization-wide IT systems andEven with all analytics/visualizationthey were exploring better ways tointra-software tools (e.g. betweentools at their disposal, makingharness and manage big data.MongoDB and Tableau) posessense of Big Data numbers can be aIn a related survey by Healthcareserious challenges for enterprisesfrustrating experience. As businessCenter of Excellence, the topthat wish to scale up analytics torequirements become more complexchallenges facing healthcare analyticsachieve real time results.in future, the demand for analyticscapabilities would continue to riseimplementation have been identifiedas leadership, data management,Other significant factors that preventand time-to-market would continuetalent and integration capabilitieshealthcare organizations fromto suffer.(Fig 1.) Leadership includes not onlyseeking proper utilization of theirfactors such as a lack of “vision” anddata include change management,Figure 1: Challenges in implementing healthcare analytics (Source: HCOE, 2015)4
Revolutionizing the Healthcare Industry with Big Data, Analytics and VisualizationThe eInfochips DifferenceeInfochips is uniquely positioned toOLTP systems, statistical computingAt eInfochips, our analytics andoffer services in healthcare analyticsand predictive analytics and front-data visualization expertise can bework seamlessly to enable betterend systems – portals and customsummed by our huge experienceclinical decision-making, improveapps, dashboards and reports, self-in combining powerful, end-to-member care, manage risk andservice BI and mobile BI enablingend systems to help healthcaredrive better market access. Themulti-dimensional and unified views.providers make informed businessdifferentiation offered by eInfochipsdecisions in the fastest possiblecan be summarized as:On the whole, eInfochips offers abroad platform of services for datatime even when there are multiple,large data sources. With than 100 End-to-end Service Capabilitiesanalytics and visualization across allcertified consultants having hands-eInfochips’ comprehensive BI/stages of the data lifecycle whichon experience in the healthcareAnalytics platform (see figure)can be further customized as perindustry and constant exposure toconsists of back-end processes - dataindividual client needs. Our servicesregular trainings on new featurescapture, data storage/warehousing,stack have been built on the backand updates, eInfochips offersdisaster recovery and load balancing/of successful software partnershipsunmatched skills in extractingscaling, centralized processeswith leading players in the BI/maximum performance out of- extract-transform-load (ETL)Analytics space such as Hortonworks,healthcare data with reduced time-techniques, MapReduce, MongoDB-Jaspersoft, Microsoft BI, Hadoop, R,to-market.Hadoop integration, setup of OLAP/MongoDB and Tableau.BI/Analytics Platform5
Revolutionizing the Healthcare Industry with Big Data, Analytics and VisualizationHealthcare clients benefit frommedicines like ATM devices.eInfochips’ strong legacy in workingData integration andmanagement for medicalequipment maker.with medical service providers acrossInteroperability, Agility and Time-to-Marketfuture-ready applications includingeInfochips experts have thetelemedicine, clinical inventorycapability to speedily integrate theA leading Medical equipment makermanagement systems, remotedifferent software, products andwas addressing the market for morepatient monitoring and homecareenterprise IT systems being usedthan 30 diseases. Its NoSQL databaseapplications.across all stages of the data cycle.had potential to help meet ever-This ensures quickest response timechanging data requirements.The full range of BI/analytical servicesand faster conversion of unstructuredoffered by eInfochips can be applieddata into actionable intelligenceIt was serving 9 million patients whileacross:through visualization tools.collecting more than 30 million datasamples every day. The objectivecentersCase Studies for Next-generationData Analytics and Visualization Hospitals and health systemseInfochips has vast experience inquery quickly. Since the device Managed care plans and HMOsmanaging healthcare analytics for thedata could last anything between Accountable care organizationsentire data cycle. The following case10 to 30 years, the company had(ACOs)studies reflect its broad expertise.to deal with information spread Physicians and ambulatory carewas to find the complete historyfor a component with a very simpleacross a multitude of obscureStrong, Experienced Pool of AnalyticsExpertseInfochips has a sizeable team ofinnovative product managers withexperience in healthcare industryDeveloping an earlywarning system to preventuncontrolled ICU admissionfor New Hampshire-basedMedical Center:database systems, in a wide variety offormats. eInfochips used the NoSQLcapabilities of MongoDB and itsexpertise to capture 40% of availabledata in 2 years alone.who can easily identify whichbest practices lead to improvedThe hospital needed an early warningoutcomes. Our experts encompasssystem to prevent sudden rush toa broad range of technologiesits 11-bed ICU. The EWS developedincluding MongoDB, Tableau,by eInfochips was embedded withinA hospital was facing challengesJaspersoft and more.Cerner Soarian Clinicals system.due to non-availability of medicalGeohashingIt measures and calculates an earlyinventory costs and increasing patienteInfochips uniquely differentiateswarning score using physiologicdissatisfaction. eInfochips developeditself as a service provider for theparameters such as respiratorya tool that transformed complex datahealthcare industry by offering arate, heart rate and blood pressure.into operational insights to drivegranular and customer-centric dataIt promote early recognition ofbetter decision making and applycapture, analysis and visualizationpatient deterioration and initiatepredictive analytics to anticipatecapabilities independent of userearly interventions with the goal offuture asset needs. Benefits includelocation, technology used (wearableavoiding the need for unplannedimproved efficiency, reduced costs,etc.) or device. This lends itselftransfers to the ICU. In just two years,improved patient outcomes andwell in application areas includingthe EWS and associated workflowexperiences, and Increased staffremote care, telemedicine, remotereduced unplanned ICU admissionsproductivity.diagnostics, e-prescriptionsby 20.4 percent.Healthcare asset tracking andmanagement for hospital:equipment during emergencies, highand automated dispensation of6
Revolutionizing the Healthcare Industry with Big Data, Analytics and Visualizationof alpha blockers, beta blockers,from the 2014 database of healthcarebeta agonists, and others, previousinsurance providers hosted bydiagnoses such as Chronichealthcare.gov (Screenshot attached).Obstructive Pulmonary Disease andComprising more than 78,000A leading clinic wanted to identifyObesity, lifestyle and environmentalpremium value datasets (US ) of allpatients at risk for developing heartfactors, such as occupation andleading insurance providers in the USfailure in a pilot project that couldmarital status.– Optima Health, Anthem Blue CrossPredictive Analytics to DetectPatients at Risk for HeartFailure:and Blue Shield, Aetna, Blue Crosslead to early intervention and bettercare for these patients. eInfochipsThe pilot applied content analyticsand Blue Shield of Alabama, HAP,was able to achieve results throughand predictive modeling to identifyMedica, CoventryOne, Moda Healthpredictive modeling of data in theat-risk patients with an 85 percentand more, the data is segregatedclinic’s electronic medical recordaccuracy rate. In total, 8500 patientsaccording to Metal level (Gold, Silver,(EMRs), including “unstructured”were identified as “at risk” forBronze), Plan Marketing Schemes,data such as clinicians’ notes andheart failure, 3500 more than whatRating Areas for all major userdischarge documents that are notwould have been possible throughdemographics – Adult up to Age 27,often analyzed. Natural languagetraditional methods.Adult up to Age 50, Family, Singleprocessing technology was usedParent Family, Couple and Child.the inclusion of unstructured dataVisualizing Healthcare Data: ALIVE example from the HealthcareInsurance Industryproviding a more complete andProper data visualization formsaccurate understanding of eachthe backbone of a well-formulatedpatient.analytics strategy. To illustrate theto analyze and understand thesenotes in the context of the EMR,business benefits of a well-roundedSome of the clinical data harnesseddata visualization strategy, weincluded physiological datawill take the example of the USsuch as maximum systolic bloodhealthcare insurance industry. Thepressure, prescription drug useprimary research data was pulledFigure 2: Healthcare Insurance data (“Healthcare.gov, 2014”)7
Revolutionizing the Healthcare Industry with Big Data, Analytics and VisualizationFor data visualization, the Tableaudemographic – Age 50.tool was used. Tableau is at theThis top view report, a histogram,forefront of addressing one ofgives back-of-the-envelopethe biggest challenges in datacalculations on which issuervisualization - making databasesoffers best value for the selectedand spreadsheets understandabledemographic. A scatter plot showsto ordinary people. Tableau is a toolthe spread and compares plan types.matching healthcare expectationsThe same results can be viewed in awith highly intuitive, visual-basedmap representation.The drill-down reports percolateto state and county-level. Allissuers and their plans can beviewed as belowdata discovery, dashboarding, anddata mashup capabilities. The levelof granularity and precision rendered2) Top and bottom premium values andrating area classification, state-wisein Tableau makes this a handy toolfor almost every big data scenario.The visualization examples and drilldown reports denote a granular, userfriendly picturization which enablethe following informed businessdecisions.1) Maximum and minimum premium ratesfor a given issuer and county in a givenstate Figure 7, 8, 9: Drill down reportsFigure 5, 6: State-wise premium rates andrating areas classificationThis granular report depicts thetop 5 states which offer maximumnumber of premium options for userdemographic – 50 years. The plansare further classified according torating areas 1-60.eInfochips is a premier Tableaualliance partner for integrating Tableau capabilities to vertical industrysolutions across Retail, Manufacturing, Utilities, and also the Healthcare.eInfochips has proven expertise andcustomization/integration solutionsfor companies that have adopted, orare looking to adopt Tableau.Figure 3, 4: Top level report - major issuers,max/min premium rates, user age 50The first-level report gives an easy tovisualize depiction of major issuerspresent in a given county and themaximum and minimum premiumrates they offer for the sample user8
Revolutionizing the Healthcare Industry with Big Data, Analytics and VisualizationAbout eInfochipseInfochips is a global technology firmspecializing in product engineeringand software R&D services. Withover two decades of experience, thecompany delivers solutions for keyverticals like Aerospace, ConsumerDevices, Industrial Automation,Media and Broadcasting, MedicalDevices and Healthcare, HomeAutomation, Retail and eCommerce,Security and Surveillance,Semiconductor and ISVs. Theagencies like Gartner, Deloitte andcompany offers expertise in software,Frost & Sullivan.hardware, VLSI and mechanicalengineering services.At eInfochips, over 1500 engineeringprofessionals deliver projects from 10With US headquarters in Sunnyvale,design centers across USA and India.eInfochips has the infrastructure,The company has sales presenceprocesses and experience inin Austin, Boston, Cedar Rapids,designing, testing, enhancing andCincinnati, Chicago, Dallas, Raleighsustaining the next generation ofand Sunnyvale in the US, Torontocomplex, critical and connected(Canada), Bangalore (India), Tokyoproduct technologies. eInfochips(Japan) and London (UK).identifies Big Data Analytics,Business Intelligence, Internet-of-ReferencesThings and Multimedia/Infotainment[1] PriceWaterCooperHouse. (2015).New Entrants are Disrupting the US 9.59Trillion Global Healthcare Market, SaysPwC. Retrieved from ays-pwc/s/47101dfa-497e-4459a7b6-ca1c269d591das key horizontal focus areas.With 500 product designs that havemore than 10 million deploymentsworldwide, eInfochips’ expertise hasbeen recognized by reputed global[2] Project Management Institute. (2015).New Medical Devices Bring RapidDiagnoses. Retrieved from vices-for-rapid-diagnoses.ashx[3] Harvard Business Review. (2014).Why Health
warning system to prevent uncontrolled ICU admission for New Hampshire-based Medical Center: The hospital needed an early warning system to prevent sudden rush to its 11-bed ICU. The EWS developed by eInfochips was embedded within Cerner Soarian Clinicals system. It measures and calculates an early warning score using physiologic
