infographic: an ounce of prevention is worth a pound of cure

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More about IBM Analytics for Healthcare: IBMbigdatahub.com/Healthcare Become a Data-Driven Healthcare Organization: IBM.co/datadrivenhealth Duplicate Records Patients have multiple unmatched and inconsistent medical records. Disconnection Patient information is unavailable at different points of care. Disparate Systems Inability to connect systems containing clinical & financial data. Deceptive Context Cannot create an accurate 360˚ view of each individual. COMMON MASTER DATA CONDITIONS WHY IS THIS SO HARD TO FIX? Chronic Condition Without intervention, master data issues can cause long-term damage to strategic initiatives. Comorbidity Adding new sources and types of data into the mix makes a bad situation worse. It Spreads Duplication progresses like a disease. The more data grows, the harder it is to get under control. Payment Reform SYMPTOM Duplicate tests are cutting into profits because organizations are no longer paid per service. Payer & Provider Convergence SYMPTOM Health and costs are not improving because a fragmented view of the patient prevents proper intervention. Patient Focus SYMPTOM Patients are turning away, feeling misunderstood and frustrated by the difficulty of tracking their own health. Big Data & Analytics SYMPTOM Investments are not meeting ROI goals because results are based on flawed input data. Are Your Critical Initiatives Affected? 1 Data from Kloss, Kloss Strategic Advisors, Information Governance presentation to AHIMA National Convention. Atlanta, October 2013; Audacious Inquiry and Robinson & Associates Consulting LLC , “Patient Identification and Matching Final Report,” prepared for the Office of the National Coordinator for Health Information Technology, February 2014. 2 Data from Pam Doughty, Ph.D., Greg Shelton, BS and Emily Lin, BA., DFWHC Foundation, “Readmissions in North Texas 2011,” July 2012. 3 College of Healthcare Information Management Executives, “Summary of CHIME survey on patient data-matching,” presented during meeting of Bipartisan Policy Center Collaborative on Health IT and Delivery System Reform. Washington, D.C., May 2012. 4 AHIP Coverage, “AHIP White Paper Focuses on Patients and Diagnostic Imaging,” posted on April 18, 2011. Discover IBM Analytics for Healthcare The industry-leading accuracy and performance of IBM InfoSphere Master Data Management is at the heart of a big data & analytics strategy. IBM Analytics solutions enable healthcare organizations to connect disparate information into a single trusted view and deliver insights into data. Armed with a complete picture, payers and providers can improve care and experiences—while rising to meet the demands of today’s healthcare challenges. An Ounce of Prevention is Worth a Pound of Cure Weak master data management is wreaking havoc throughout the transforming healthcare system, and many healthcare leaders are unaware of its damaging effects. 1 2 3 4

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More about IBM Analytics for Healthcare: IBMbigdatahub.com/HealthcareBecome a Data-Driven Healthcare Organization: IBM.co/datadrivenhealth

Duplicate RecordsPatients have multiple unmatched and inconsistent medical records.

DisconnectionPatient information is unavailable at different points of care.

Disparate SystemsInability to connect systems containing clinical & financial data.

Deceptive ContextCannot create an accurate 360˚ view of each individual.

COMMON MASTER DATA CONDITIONS

WHY IS THIS SO HARD TO FIX?

Chronic ConditionWithout intervention, master data issues can cause long-term damage to strategic initiatives.

ComorbidityAdding new sources and types of data into the mix makes a bad situation worse.

It Spreads Duplication progresses like a disease. The more data grows, the harder it is to get under control.

Payment ReformSYMPTOMDuplicate tests are cutting into profits because organizations are no longer paid per service.

Payer & Provider ConvergenceSYMPTOMHealth and costs are not improving because a fragmented view of the patient prevents proper intervention.

Patient FocusSYMPTOMPatients are turning away, feeling misunderstood and frustrated by the difficulty of tracking their own health.

Big Data & AnalyticsSYMPTOMInvestments are not meeting ROI goals because results are based on flawed input data.

Are Your Critical Initiatives Affected?

1 Data from Kloss, Kloss Strategic Advisors, Information Governance presentation to AHIMA National Convention. Atlanta, October 2013; Audacious Inquiry and Robinson & Associates Consulting LLC , “Patient Identification and Matching Final Report,” prepared for the Office of the National Coordinator for Health Information Technology, February 2014.

2 Data from Pam Doughty, Ph.D., Greg Shelton, BS and Emily Lin, BA., DFWHC Foundation, “Readmissions in North Texas 2011,” July 2012.3 College of Healthcare Information Management Executives, “Summary of CHIME survey on patient data-matching,” presented during meeting of Bipartisan Policy Center

Collaborative on Health IT and Delivery System Reform. Washington, D.C., May 2012. 4 AHIP Coverage, “AHIP White Paper Focuses on Patients and Diagnostic Imaging,” posted on April 18, 2011.

Discover IBM Analytics for HealthcareThe industry-leading accuracy and performance of IBM InfoSphere Master Data Management is at the heart of a big data & analytics strategy. IBM Analytics solutions enable healthcare organizations to connect disparate information into a single trusted view and deliver insights into data. Armed with a complete picture, payers and providers can improve care and experiences—while rising to meet the demands of today’s healthcare challenges.

An Ounce of Prevention isWorth a Pound of Cure

Weak master data management is wreaking havoc throughout the transforming healthcare system, and many healthcare leaders are unaware of its damaging effects.

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