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Using MDM to Lay the Foundation for Big Data and Analytics in Healthcare


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  • SPEAKER NOTES: Industry challenges and opportunitiesCost of treating chronic diseasesShortages of “experienced” IT and clinical resourcesManaging the shift in healthcare fro Inpatient centric to a more affordable community based precision care modelRequires new approaches for identifying patients, providers the EMPI centric functions as well as a solid foundation for any MDM strategy (if polling question floats, then here is where I will insert a comment about a single vendor is not the total solution for addressing the EMPI or MDM Issues)
  • SPEAKER NOTES: Where MDM impacts HealthcareSegue way from Insights to improve business with Big data to where MDM impacts HCPlaces where data existsOperational impactsBusiness of providing high quality healthcare with cost accountability
  • SPEAKER NOTES:Define EMPI – a Trusted view of a patient, provider or any of the entities illustrated by the jelly beans on this slideDefine MDM in healthcare - Master Data is really the core information in an organization that is used to make critical decisions and it is what a lot of business processes are designed around. Healthcare – patient registration is a classic example, especially across multiple clinics, hospitals, labs. But we really would like to stress that the EMPI is really just one domain that can be implemented. Outside of the EMPI, there are Provider, Location, and Facility domains that the InfoSphere product can also support. MDM in healthcare is expanding, and the InfoSphere product can support it!Touch on the various domains and the need to integrate - The problem many organizations are facing, is that this high value data (customer data, product data, patient data) – and relationships in the data are the most central to running business, but the data is often very poor quality – inaccurate, incomplete, missing or duplicated – and thus the business processes that depend on those data can be inefficient, ineffective, and costly or increase business risk. No MDM limits ability to gain insights to improve businessHandoff to Sara to talk about data and analytics
  • SPEAKER NOTES:So everyone talks about Big Data, I’d like to talk about the characteristics of Big Data, and help you understand what it is. When we talk about Big Data, you have to understand the volume of data we’re talking about. There is also a high velocity of data, and its increasing. When you think about different medical devices or social media channels we can get data and information from, it’s a huge number, and its always changing. In addition, Big Data covers a huge variety of data. We’re talking about unstructured data, and unstructured data can mean almost anything. From social media, to monitoring machines and devices, to dictation notes, and more.
  • SPEAKER NOTES:This slide shows just some of the different channels data is coming in in health care today. If you look at the bottom row, this is really where Big Data and the ‘unstructured’ data you’ll hear us talking about is. You see social media here, like I mentioned, this is a growing way to capture data. People talk about how satisfied or unsatisfied they are on twitter or Facebook . You can look at medical devices and how much information is captured there. And on the top two rows you’ve got some of the more structured ways to capture healthcare information.The bottom line is, that data is coming in from multiple channels, and it is all useful. So how does an organization go about capturing this data and making productive and meaningful decisions with it.**Can Michele provide some examples of device data, digital hospital, etc?
  • SPEAKER NOTES:So that we’ve talked a little more about what Big Data is, what does that mean for healthcare? Well let’s look at those characteristics we talked about before.What does a larger volume of data have to do with healthcare? The more data you can analyze, the better the prediction and analysis of patient care and outcomes are. When you can capture all of this data that is coming in, you are combining clinical and research data, that you weren’t able to analyze before.Talking about the velocity of data.. You can also improve outcomes by getting real time data updates, such as with medical devices, images, and alerts, and being able to communicate those results to a broader physician team through different channels.And finally, going back to the variety of data… we talked about some of this, being able to analyze the different types of data from medical records, notes, dictation, public health reports, and social media and web content. All of this is that ‘unstructured’ data, that seems like it may be difficult to capture for analysis, but it can be done.
  • SPEAKER NOTES:Before you can jump into Big Data and taking advantage of the analytics you can gain from Big Data, you need to understand your organization’s data at the core level. Your ‘Master Data.’ This slide gives some examples of what Master Data is. Master Data is really the core information in an organization that is used to make critical decisions and it is what a lot of business processes are designed around.The problem many organizations are facing, is that this high value data (customer data, product data, patient data) – and relationships in the data are the most central to running business, but the data is often very poor quality – inaccurate, incomplete, missing or duplicated – and thus the business processes that depend on those data can be inefficient, ineffective, and costly or increase business risk. That is important to remember when you are talking to customers about Master Data. Since business processes are designed around their data, you need to engage business people with that. The key isn’t to talk about speeds and feeds you can load data with. The key is to engage business people in a discussion about the effectiveness of key processes and explore that with your prospects. And this applies to all industries.Healthcare – patient registration is a classic example, especially across multiple clinics, hospitals, labs. But we really would like to stress that the EMPI is really just one domain that can be implemented. Outside of the EMPI, there are Provider, Location, and Facility domains that the InfoSphere product can also support. MDM in healthcare is expanding, and the InfoSphere product can support it!
  • SPEAKER NOTES:That’s a little about Master Data and why organizations need to care about it. In turn, this definition of Master Data tells us what Master Data Management should do for an organization, and how it supports governance initiatives . Generally speaking, MDM is more than just a technology platform and set of tools. It’s a combination of Disciplines, technologies, and processes that accommodate, control and manage master data, across the organization. And it’s a means to manage and deliver an unified view of an organizations data. In the example on the slide here you can see Billie Jones here, has a record in three different systems, but his record is different in all these systems. MDM is the vehicle to bring these three different records together, into one unified view. And then accurate and full information can be sent to these downstream systems, improving the business process. MDM is an ongoing business and IT function, it can act as an effective foundation on which to develop, maintain and monitor information governance. And, one thing that we’ll reiterate again and again is that MDM needs information governance to succeed. And that goes back to that Information Supply Chain, enforcing that an organization needs to look at all different phases in the supply chain to be successful.
  • SPEAKER NOTES:The problem on the previous slide focused on the problem of identity and providing a single, unified view.But there are many more use cases of problems related to MDM. This “spaghetti” slide represents the current world of most customers today. Their information, or their master data, is scattered across the organization in systems, with individuals, and in other documents (e.g. Word docs, and Excel spreadsheets), and they can’t reliably deliver it to any one of a number of strategic downstream systems. It makes getting data to recipients difficult, time consuming and unreliable. Which really means its high risk and costs the organization money.So, in addition to providing “a single view”, that we saw on the previous slide, MDM allows companies to also create a single, up-to-date repository of product and other core information that can be used throughout their organization for their strategic business initiatives and decisions. What this is doing is streamlining activities across groups that use the master data for supporting inventory and fulfillment processes, go-to-market and product promotions across channels. This stream lined approach lowers the cost of these activities, and allows organizations to expand their product development, delivery and merchandising capacities. And these are all things that organizations care about – streamlining activities, lower cost, expanding product development – its all important to them. A comprehensive MDM offering can solve these problems.
  • SPEAKER NOTES:We talked about the problems organizations have with their Master DataThis slide demonstrates what a Master Data Management solution can do. Its the ‘360 degree view’ In this example, it a unified view of a patientBut, this slide can be translated across industries (insurance, financial, retail, etc). All organizations need this 360 degree view of their dataNever mind if it’s a patient or a customer, you’ve got information coming in from 8 different sources. Sometimes it can be a lot more, and without an MDM Solution, this data may never be combined to create a single view of that record.
  • SPEAKER NOTES:Typically in healthcare, when it came to mastering data, the focus was on patient. With all the new structured and unstructured data out there, it makes sense to master more than just the basic patient information. There is more information on patients available to create a holistic view of the patient, as well as what facilities and physicians they frequent, medical organizations they are affiliated with, and more.
  • SPEAKER NOTES:So let’s take a look at what providers are doing with clinical and advanced analytics. Providers can take all these many types of data and data sources and look at things like EMR data, doctors’ notes, medical history and correspondence, different images and lab results of a particular patient, and more, and gain a deeper insight into that patient. Think about how helpful it would be to have all of the most up to date information about not only a patient’s demographic info, but their medical history, and what doctors have made notes about, along with their vitals, all at the same time.What this does is give the provider that complete, 360 degree view of that patient. They can analyze the streams of this data coming in and conduct modeling and simulation to predict outcomes. From an operational standpoint they can also optimize their processes and integrated and govern data from multiple sources. The end result of all of this is better overall care for the patient. It allow providers to measure and identify causes for adverse events, so they can prevent them in the future. It can also help the patient by predicting patients at risk for readmission, and allows different providers to monitor vitals and proactively contact the patient if any action is needed. You know I have seen this and it can be helpful when different providers have access to all of this same information. Last summer I had an issue of high blood pressure. I had gone to see a dermatologist and they happened to take my blood pressure, and it was high, but it really wasn’t discussed in that visit. The next day I got a call from my general practitioner's office saying it had been a while since my last physical and they noticed my blood pressure was high and I should probably come in. Incidents like that may seem small, but they may have prevented me from having bigger problems or having to go on medication or something like that, that could in ultimately increase healthcare costs and put my health at risk.
  • SPEAKER NOTES:This slide shows another example and is really just how Payers can use data in a different way. In this case, they are looking at data around demographics, account history, diagnosis, a patient’s history of lab results and images, and more. So what can do with all of that data and how does it help them?Again, all of this data creates that 360 degree view of the patient. It also allows the organization to use their MDM/Big Data Solution to do things like identify and analyze federated information, convert and analyze voice to text from member calls and execute different types of analytics on the data. It allows organizations to execute deep analytics on complex data sets they did not previously have access to. What’s the outcome of this? Payers can use this data to identify underlying factors contributing to disease progression, create personalized member health programs or communication, or make recommendations to member by identifying effective providers and treatments. Now think about what this means to the members. Think of how you would feel if you were receiving personalized recommendations and communications from your healthcare provider. If it were me, not only would my satisfaction rating be much higher, but I’d most likely be receiving better care, because it was personalized to me. Overall this is increasing my health, and saving everybody money.
  • Policies are in place that hospitals must have addressed data quality issues prior to joining Mission Health SystemData Integrity Training Program to educate new contributing systemsCommunication agreement with director of HIM to enforce policiesData Governance policies are now in place to support data cleanup effortsImproves accountability and ownershipHIM team now has the ability to identify when duplicates and potential overlays are created and whyAuditing has been improved by tracking what users execute what actionsHIM team can immediately contact user and talk to them about why they did that action
  • Transcript

    • 1. Using MDM to Lay the Foundation forBig Data & Analytics in Healthcare
    • 2. AGENDAIBM• Understanding the Market Forces Driving Healthcare Changes• Turning Data Into Healthcare Insights• Where Master Data Impact HealthcarePerficient• Defining Big Data• Healthcare Data Sources• Big Data’s Impact on Healthcare• Master Data Management Trends for HealthcareMission Health• Case Study in MDM Deployment and ResultsQ&A• Chat Questions LiveAgenda & LyonsMDM Practice LeadSara.Lyons@Perficient.comMichele O’ConnorWorldwide MDM SalesBrooke StylesManager of Data Integrity
    • 3. Healthcare Challenges
    • 4. Market Forces Driving Healthcare ChallengesIndustry challengesand opportunitiesPrimary Care and HC workforceshortages demand workforceproductivity and efficiencyNew approaches tohealth and care deliveryincrease complexity andcompetitionIncreasing costswith shrinkingreimbursementsIncreasing incidenceand cost of chronicdiseasesEmpowered consumersexpect better value,quality, and outcomesHealth care is shiftingfrom local to state andnational contextsChanging demographicsand lifestyles driveassociated costs
    • 5. Healthcare is Searching for Insights toImprove BusinessPopulation ManagementWe identified & recommendedvaccination for patients at riskfor meningitis within hours ofthe outbreak.InterventionThe patient’s BP and sugar levelsspiked, I need to communicatewith her and direct her totreatment.Patient EngagementMy reports show a decline in satisfactionbased on sentiments expressed on ourmember portals and social networkingsites.Care ManagementWe reduced readmission rates byassigning a care manager to heartpatients with no emergencycontact on file.Health EconomicsI have evidence that demonstrates alower total cost of care and betteroutcomes with a seemingly moreexpensive drug or treatment.With Big Data…Email, FaxDictation, EMR NotesCustomerSentiment Devices
    • 6. Master Data is More Than Just Patients• Master data is the high-value,core information used tosupport critical businessprocesses• Master Data is informationabout Patients, Providers,Payers, Employees,Households, and more• Master Data is at the heart ofevery business transaction,application and decisionPatientPersonProspectCitizenMemberProviderEmployeeCompanyOfficeOrganizationHouseholdDistributorVendorPayerProductServiceManufacturedGoodFinancialAccountAgreementContractAssetsLocationsDistributor
    • 7. Big Data & Healthcare
    • 8. As a leading provider of services in the healthcare industry, Perficient has delivered bothstrategic consulting and advanced technology solutions to many of the top provider, payer, lifescience and government healthcare organizations.Perficient Technology Solutions• Top tier healthcare industry authorized IBM partner• Portal design and development• Healthcare Analytics / Business Intelligence• Enterprise Content Management solutions• Master Data Management solutions• Multi-Sourcing solutionsPerficient Consulting Services• Business value assessment/financial sustainability modeling• Requirements analysis/product selection• Architecture planning and platform selection• Custom solution design and development• Implementation services• Usability testing and user-centered design• Consumer readiness assessments (PEMM)• ICD-10/5010 conversion• Technology enabled process improvement• Business integration• Process/workflow design• Enterprise Application Integration (EAI)Industry Expertise
    • 9. The Characteristics of Big Data
    • 10. Healthcare Data isDiverse, Structured, Unstructured, & Growing
    • 11. What Does Big Data Mean for Healthcare?
    • 12. Master Data is More Than Just Patients• Master data is the high-value, core information used tosupport critical businessprocesses• Master Data is informationaboutPatients, Providers, Payers, Employees, Households, andmore• Master Data is at the heart ofevery businesstransaction, application anddecisionPatientPersonProspectCitizenMemberProviderEmployeeCompanyOfficeOrganizationHouseholdDistributorVendorPayerProductServiceManufacturedGoodFinancialAccountAgreementContractAssetsLocationsDistributor
    • 13. Master Data Management• Disciplines, technologies, and processes that accommodate, control and managemaster data, across the organization• A means to manage and deliver a unified view of an organization’s dataMaster Data Management Needs Governance to SucceedCustomerSupportSalesClaimsINFORMATIONBill35 West 15th StreetToledoJonesOH / 12345M301/1/81First:Last:Address:City:State/Zip:Gender:Age:DOB:CRMB. JonesToledo, OH 1234535 West 15th StreetName:Address:Address:ERPWilliam JonesToledo, OH 1234535 West 15th St.Name:Address:Address:LegacyBillie JonesToledo, OH 1234536 West 15th St.Name:Address:Address:SOURCE SYSTEMS ENTERPRISEAPPLICATIONSMASTER DATAMANAGEMENT
    • 14. Key Information is ScatteredAcross OrganizationsMarketingManagersHIMManagerOperationsLogisticsCategoryManagersBillingRegionalManagersPromotionManagersPhysicicansFinanceEnterpriseApplicationsAuthorize /RejectSpreadsheetsDocsDirect fromSuppliersImagesNew PatientRegistrationOrdersResultsEmailsITOrders ManagementHIEPhysician PortalsPatient PortalsShelf spaceOperational decisionsSuppliersVendorsKiosksTargets / DestinationsDataStewards
    • 15. MDM Provides a Single, 360 View of Data
    • 16. More Data Means More Domains to MasterMDMFunctionsUnifiedPlatform, Processes &ToolsPHYSICIANS FACILITIESPATIENTSORGANIZATIONS
    • 17. Big Data & Master Data ManagementHow do you make untrusted data trustedin real time?How do you discover relationships ofpeople, places, and things in big data andleverage them for your organization’sbenefit?
    • 18. Big Data & Master Data Management• Master Data Management bridges the gap between internal trusted dataand external untrusted data• High performance, real-time matching of trusted information is the key tosuccess
    • 19. Big Data Use Cases: Clinical &Advanced Analytics
    • 20. Clinical & Advanced Analytics for Providers
    • 21. Clinical & Advanced Analytics for Payers
    • 22. How Organizations are Using Big Data
    • 23. EMPI ImplementationBrooke Styles, MS, RHIAEMPI ImplementationMission Health SystemMay 7, 2013
    • 24. EMPI ImplementationAgenda• Challenges• Implementation• Benefits• What’s next
    • 25. EMPI ImplementationChallenges• Data Quality Issues– Identifying duplicates and overlays• Manual and Time Consuming Processes– Email requests– Tracking requests– Audit reports
    • 26. EMPI ImplementationImplementation• Data Integrity Core Team Members– Getting familiar with software• Training Staff– Train the trainer– 5 employees• Team Members Involvement– Algorithm tuning (Threshold Analysis)– Test plan creation and coordination of creating test cases
    • 27. EMPI ImplementationBenefits• Data Quality Improvement• Enable Root Cause Analysis• Streamlined Data Cleanup Procedures• Supports a Standard Onboarding Processfor Hospitals Joining the Mission HealthSystem
    • 28. EMPI ImplementationWhat’s Next?• Data Warehousing Initiatives– Enabling users to create own reports– Goal is to provide an operational benefit• Patient Portal Project– EMPI is the underlying database for a patient portal– Ensuring patients will see a complete and accurate view of theirmedical history• Increase Organizational Wide Data Governance Policies
    • 29. UpMDM Lunch & Learn – Houston May 14IBM Vision – Orlando – May 19IBM Exceptional Web Conference – Chicago May 20IBM Smarter Commerce – Nashville May LyonsMDM Practice LeadSara.Lyons@Perficient.comMichele O’ConnorWorldwide MDM SalesBrooke StylesManager of Data Integrity
    • 30. Thank you for your timeand attention today.Please visit us at