Maximize Your EMPI Investment: Reduce Data Stewardship Workload 50% while Expediting Patient Registration June 23, 2015 Our Featured Panelists: Michelle Majerus, MBA, CPHIT HIM Director and Privacy Officer Olmsted Medical Center Lorraine Fernandes, RHIA Global HC Industry Ambassador IBM Analytics Corinne Blair IT Industry Consultant IMT
Today s Panelists Michelle Majerus, MBA, CPHIT HIM Director and Privacy Officer Olmsted Medical Center Lorraine Fernandes, RHIA Global HC Industry Ambassador IBM Analytics Corinne Blair IT Industry Consultant IMT
IBM is deeply involved across the healthcare ecosystem as a consumer, influencer of change, & technology- based solutions provider Leadership $2B investment in Healthcare. 500+ analytics patents; 600+ healthcare related patents; 7534 total patents in U.S. in 2014, and 22 th consecutive year of patent leadership Ability to convene stakeholders within communities of care IBM Institute for Business Value, IBM Cúram Research Institute provide deep research into health and social care best practices Industry expertise 300+ mathematicians, researchers and thousands of analytics practitioners helping build smarter cities 500+ social program professionals, 60+ medical doctors, 350 healthcare professionals focused on care transformation Thousands of successful implementations in care related industries 4 Proven solutions Groundbreaking solutions from IBM Research, the genesis for repeatable proven solutions that are brought to market Designed by health and social care professionals and implementation experience in care delivery systems $16B+ in analytics acquisitions; 12 Analytics Solution Centers IBM Watson cognitive computing that works how people do 2015 IBM Corporation
Industry Trend: The healthcare system is rapidly evolving to a value based, consumer centric model with a focus on info exchange Providers are moving away from a reactive model one that is focused on treatment to a model focused on prevention, in which outcomes are expected and rewarded Core Principles of Current System Over-emphasis on expensive treatments and incremental improvement Myopic focus on capacity for acute care Use of volume-based reimbursement models Patients are responsible for coordinating their own care Care varies by venue and clinician Quality is determined by the provider Evolving Healthcare System Focus is on value, coordinated around the patient and integrated into communities Emphasis is on proactive preventative care to meet health needs Care is standardized according to evidence-based guidelines We measure quality & make rapid changes to improve it Holistic approach that combines social and clinical needs The market forces driving this transformation requires Healthcare Organizations to optimize, share & analyze data across the ecosystem stakeholders to reduce costs and to offer better quality of care 5 2015 IBM Corporation
Industry Trend: Industry analysts believe that Healthcare organizations will focus on Analytics as the #1 enabler to meet their primary business drivers and IT goals Analytics will be critical for success outcomes.superior use of analytics will be a dominant factor in health system success for the rest of this decade, and it is a growing component of the CIO work. Efforts must be heavily directed to advancing the state of retrospective and real-time analytics Source: http://www.gartner.com/technology/reprints.do?id=1-1r0qjvg&ct=140221&st=sb Analytics will help track clinical outcomes and better decisions at point of care Half of providers and payers see advanced analytics as their top investment priority. The respondents' top goals for analytics were - 1) Identifying at-risk patients (66%), 2) Tracking clinical outcomes (64%), 3) Performance measurement and management (64%), and 4) Clinical decision making at the point of care (57%). Source: http://www.informationweek.com/healthcare/clinical-information-systems/healthcare-organizations-go-big-for-analytics/d/d-id/1109129?page_number=2 Information Governance and Data Quality are foundational for successful Analytics programs.ignoring or underestimating information governance is the most common mistake we've seen Healthcare Development Organization CIOs make in recent years And this has an impact of the analytics projects both in terms of timely delivery as well as adoption Source: http://www.gartner.com/technology/reprints.do?id=1-1r0qjvg&ct=140221&st=sb 6 Analytics is key to gain clinical and operational insights Healthcare analytics will be a significant part of healthcare data solutions that facilitate healthcare organizations to gain better insights from medical records of patients collected from various sources. Organizations in the healthcare sector have started applying analytics to develop clinical and operational insights.. Source: http://www.marketwatch.com/story/us-healthcare-it-market-2019---advanced-analytics-tools-and-mobile-devices-adoption-is-major-driver-and-trend-observed- 2015-03-05 2015 IBM Corporation
Managing Trusted Information across the enterprise & the healthcare ecosystem is critical to draw insights and to deliver patient value Building a trusted view of patient and provider information is the first step in this journey Transaction Services Claims Processing Banks: Health Savings Accounts and Payments Life Sciences Clinical Development Clinical Trials Medication Compliance Medical Devices Consumer Relationships Wellness and Care Services Public Health Pandemic readiness Vaccine inventory & distribution Sanitation & public safety Healthy Lifestyles and Diet Living with Chronic Disease Public & Private Payers Patient Education Disease Management Fraud Prevention Risk Management Social media data Employers Benefit Plan Design Health & Wellness Programs Patients & Consumers Social media data Personal health records Medical device tracking data Healthcare Providers Electronic Medical Records Health information exchange Patient ID & ehealth Social media data Health Clubs Health & Wellness Programs 7 Regulators Healthcare Policy Medical Research Regulatory Compliance Pharmacies e-prescribing New services Retail Clinics Consumer Services Medical Research Centers Clinical Research Cohort Studies Clinical Trials 2015 IBM Corporation
A trusted, unified view of a patient/customer and provider are needed by operational, clinical, executive and IT stakeholders Build member/patient/ consumer centric view for customer satisfaction Comply with HIPAA, SOX, Federal, state regulations Single view of provider data without impacting credentialing systems Compliance Chief Medical Officer Access, Registration CMO Innovation Strategy CMIO, CIO HIE, HIM CFO Evaluate effectiveness of shared savings, risk- based contracts and programs Deliver correct patient information to the right provider and location, portal Define value of referral, owned physicians, programs Market convergence requires robust, flexible Patient and Provider definition Create single view of Patient data for analytics and pop health 8 2015 IBM Corporation
Olmsted Medical Center: Case Study: Resolve:ID EMPI Solution June 2015
Our Mission The delivery of exceptional patient care focusing on caring, quality, safety, and service Our Vision To be the healthcare provider of choice in our service area by leading in quality, access, and service
Our Core Values Our patients come first. Every employee is a caregiver. Our employees are the key to our success. OMC is an active, contributing partner in the communities it serves. We have a duty to position and prepare OMC for the future.
Caring for Patients Throughout Southeast Minnesota Byron Cannon Falls Chatfield Pine Island Plainview Preston Rochester St. Charles Spring Valley Stewartville Wanamingo
Quick Facts Annually $180 million net operating revenue 156 clinicians / 1200 employees 80,000 unique patients served 300,000 ambulatory patient visits 25,000 emergency room visits 3,000 MRI and 4,800 CT scans 3,800 surgical procedures 900 births
Information Technology Environment Registration (Cerner) EMR (Cerner) EMR (McKesson) Registration (McKesson) LIS/Path (SCC) RIS/PACS (GE)
Data Environment 15-20 Multi-facility Patient Identifiers Multiple Reporting Databases/Marts Multiple Patient Matching Algorithms
Challenges Patient Matching Across Systems Automated data flows inefficient, fallout Many identifiers per patient Basic algorithm matching techniques Patient Safety Potential for misdiagnosis, delay in treatment, delays in communicating critical results
Challenges Multiple systems with MPIs Silo approach to patient identification Inefficient, Manual Patient Search & Match Lack of accurate data matching process for patient identification Population Health Management fragmented patient records
Project Overview EMPI Vendor Selection + Active Registration Seamless Patient matching occurs in real time with the patient at registration using Passive Registration IMT Resolve:ID Patient matching occurs after the patient is registered
Key Benchmarks Measurements B A S E L I N E Hospital 40 Duplicates 10 Staff Hours Ambulatory 75 Duplicates 15 Staff Hours ( measured over 4 weeks ) Ancillary Systems 15 Staff Hours verifying duplicate corrections
Data Quality Stats ( measured over 5 days ) April 2014 EMPI + Passive Registration 60 Data Quality Issues 22/3 Duplicates/Overlays 11:28 Staff Time Spent Sept 2014 Active Registration Adopted 32 Data Quality Issues 14/2 Duplicates/Overlays 4:32 Staff Time Spent May 2015 Active Registration Today 19 Data Quality Issues 7/0 Duplicates/Overlays 2:12 Staff Time Spent Reduction in Data Issues: ~66% Staff Time on Issues Saved: ~80%
Results.. Improved Patient Identification - Enhanced Patient Safety Reduction in Duplicates and Overlays Reduces potential for mis-diagnosis Reduces potential for incorrect care or treatment Reduces potential delays in care or diagnosis Reduces potential delays in communicating critical results to patients
Patient Satisfaction Results.. Reduces Duplicate Billing Staff Efficiency Reduction in Stewardship tasks & fewer rejections Reduction in Registration Time Reduction in Staff Confusion Consistent application of patient identification and registration standards and practices
Page 23 2015-07-10 About IMT
We strive to be just one thing: IDENTITY Core Registries EMPI SOLUTIONS Healthcare Insurance & Payers EXPERTS Proven (100+ Projects) End-to-End Solutions
Quick Start
A complete EMPI solution in an easy to deploy Appliance Uses IBM MDM 300+ healthcare organizations globally Simple procurement H/W, S/W, Config & Support - 3 year TCO Deploys in 90-120 Days Minimal Impact on Staff 14 Years of Best Practices Extensible e.g. Resolve:ID Pre-configured and Tested Tuned for Healthcare
How Active Registration Works Patient Registration (Cerner) No Patient Found Traditional search only looks for Patients in the local system, often using inflexible logic. EMPI (IBM MDM) Existing record for Patient you are registering Cerner EMR McKesson EMR
How Active Registration Works Resolve:ID Patient Registration (Cerner) Patient Found Active Registration (Resolve:ID) searches the EMPI, using more sophisticated probabilistic logic. EMPI (IBM MDM) EMPI holds the master list of all Patient records. Cerner EMR McKesson EMR
Active Registration Benefits Add new functionality to existing registration screens
Active Registration Benefits Provide Guidance Enforce Standards Real-Time Help
Active Registration Benefits Get better candidates lists Drill down and see more information
Active Registration Benefits Compare Local Registration to the EMPI and quickly select what to update from which system
Active Registration Benefits Automatically populate the local HIS system with the information selected to avoid data entry
IMT Canada 900-330 St. Mary Avenue Winnipeg, MB, CA R3C 3Z5 info@imt.ca IMT USA 795-701 Lee Street Des Plaines, IL, USA 60016 info@infomagnetics.com