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Patient Identity and Digital Record Matching: A New Approach March 1, 2016 Tess Coody Roderick Bell

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Page 1: Patient Identity and Digital Record Matching: A New Approach · 2016. 3. 1. · Learning Objectives • Learning Objective 3: Initiate change in the way the U.S. healthcare system

Patient Identity and Digital Record Matching: A New Approach

March 1, 2016

Tess Coody

Roderick Bell

Page 2: Patient Identity and Digital Record Matching: A New Approach · 2016. 3. 1. · Learning Objectives • Learning Objective 3: Initiate change in the way the U.S. healthcare system

Conflict of Interest Tess Coody-Anders, CEO, and Roderick Bell, CIO have no real or apparent conflicts of interest to report.

Page 3: Patient Identity and Digital Record Matching: A New Approach · 2016. 3. 1. · Learning Objectives • Learning Objective 3: Initiate change in the way the U.S. healthcare system

Agenda 1. The Topic: An identity-centric, credential-based approach 2. Method of Analysis 3. The Problem: Mismatching, misidentification and fraud 4. Impact on Healthcare 5. Recommendations

Page 4: Patient Identity and Digital Record Matching: A New Approach · 2016. 3. 1. · Learning Objectives • Learning Objective 3: Initiate change in the way the U.S. healthcare system

Learning Objectives • Learning Objective 1: Identify the negative impacts of the current

misidentification and mismatching problems in healthcare, such as poor patient care, inconvenience for patients and providers, and lack of patient safety

• Learning Objective 2: Evaluate the use of strong credentials for fraud reduction based on their ability to strengthen transaction processing and eliminate vulnerabilities in the healthcare payments system

Page 5: Patient Identity and Digital Record Matching: A New Approach · 2016. 3. 1. · Learning Objectives • Learning Objective 3: Initiate change in the way the U.S. healthcare system

Learning Objectives • Learning Objective 3: Initiate change in the way the U.S.

healthcare system identifies patients and manages care by implementing an identity-centric, credential-based patient matching and identity management model

• Learning Objective 4: Summarize the methods and solutions that the healthcare provider in the session used to address their identity management issues

• Learning Objective 5: Appraise the success of the implementation case study detailed in the session and the extent to which identity management challenges were overcome

Page 6: Patient Identity and Digital Record Matching: A New Approach · 2016. 3. 1. · Learning Objectives • Learning Objective 3: Initiate change in the way the U.S. healthcare system

http://www.himss.org/ValueSuite

Satisfaction: The identity-centric, credential-based model is more convenient for patients, simplifies admissions, reduces the risk of errors, and saves patients time and money by avoiding redundant tests and exams

S

T Treatment: Improved patient identification will reduce redundant tests and adverse events caused by misidentification

E Electronic Information/Data: Improved patient identification will reduce redundant tests and adverse events caused by misidentification

P Prevention and Patient Education: Smart credentials can provide simplified and more secure access to patient records, increasing engagement by patients

S Savings: Smart credentials can help health care organizations save billions lost each year due to fraud and medical identity theft

Page 7: Patient Identity and Digital Record Matching: A New Approach · 2016. 3. 1. · Learning Objectives • Learning Objective 3: Initiate change in the way the U.S. healthcare system

Saving Lives and Money: Interoperable, Digital Identity • Identity-centric focuses healthcare systems and

processes around the accurate, reliable and repeatable identification of the patient’s identity

• Credential-based means that a trusted digital device, most likely an identity card or smart phone is used by the customer to verify his or her identity to healthcare providers

Page 8: Patient Identity and Digital Record Matching: A New Approach · 2016. 3. 1. · Learning Objectives • Learning Objective 3: Initiate change in the way the U.S. healthcare system

Creating an Interoperable Digital Identity System

Deterministic Interoperable

ID Tokens

Source: LifeMed ID

Page 9: Patient Identity and Digital Record Matching: A New Approach · 2016. 3. 1. · Learning Objectives • Learning Objective 3: Initiate change in the way the U.S. healthcare system

Method Analysis

• Cross-Industry Collaboration – Six years of analysis by collaborative of payers, healthcare

and technology providers through Smart Card Alliance • Compare and Contrast

– Healthcare versus Financial Services, Federal Government best practices

• Insights from Workgroups – WEDI, Identity Ecosystem Steering Group, HIMSS Identity

Management

Page 10: Patient Identity and Digital Record Matching: A New Approach · 2016. 3. 1. · Learning Objectives • Learning Objective 3: Initiate change in the way the U.S. healthcare system

Why Does Identity Matter?

• Doyle Wesley Coody Jr. and Doyle Wesley Coody, III – two people, one MRN

012345

Page 11: Patient Identity and Digital Record Matching: A New Approach · 2016. 3. 1. · Learning Objectives • Learning Objective 3: Initiate change in the way the U.S. healthcare system

The Problem

• Awareness of the scope and scale of problem

• Technology and functional silos across disparate systems

• Wait-and-see attitudes

• Noisy healthcare environment with many priorities

Page 12: Patient Identity and Digital Record Matching: A New Approach · 2016. 3. 1. · Learning Objectives • Learning Objective 3: Initiate change in the way the U.S. healthcare system

Impact on Healthcare: Patient Safety

• 12 percent of U.S. health records mismatched1

• 19 percent of CIOs report adverse events resulting from misidentification2

• 198K deaths annually (2010)3

• 10 out of 17 deaths due to “wrong patient” errors4

S T E P S

Sources 1. & 2. According to Michelle O’Connor, director identity and information governance, QuadraMed 3. & 4. Death Statistics, according to the IOM

Page 13: Patient Identity and Digital Record Matching: A New Approach · 2016. 3. 1. · Learning Objectives • Learning Objective 3: Initiate change in the way the U.S. healthcare system

Impact on Healthcare: Fraud

One SSN on the Black Market:

$0.43

One healthcare record on the Black Market:

$50 S T E P S

Page 14: Patient Identity and Digital Record Matching: A New Approach · 2016. 3. 1. · Learning Objectives • Learning Objective 3: Initiate change in the way the U.S. healthcare system

Impact on Healthcare: Fraud and Waste

• $77 billion in Medicare/Medicaid fraud and improper payments

• $13,450 out of pocket costs to victims

• Duplicate records cost average hospital $500k to $2.5M

Source: Medical Identity Fraud Alliance (MIFA), 2014

S S T E P S

Page 15: Patient Identity and Digital Record Matching: A New Approach · 2016. 3. 1. · Learning Objectives • Learning Objective 3: Initiate change in the way the U.S. healthcare system

Impact on Healthcare: Patients

• 45 percent of victims said the incidents damaged their reputation

• 19 percent said it cost them career opportunities

• 3 percent said it actually caused them to lose their jobs

Source: Medical Identity Fraud Alliance (MIFA), 2014

S T E P S

Page 16: Patient Identity and Digital Record Matching: A New Approach · 2016. 3. 1. · Learning Objectives • Learning Objective 3: Initiate change in the way the U.S. healthcare system

Impact on Healthcare: Patient Experience and Education

• Automated registration experience

• Increased privacy and safety

• Assurance that their doctor is accessing their correct information

• Prevents redundant paperwork and testing

• Easy auto pay

• Easy access to personal medical record

S T E P S

Page 17: Patient Identity and Digital Record Matching: A New Approach · 2016. 3. 1. · Learning Objectives • Learning Objective 3: Initiate change in the way the U.S. healthcare system

Breaking Down the Silos

Automate Workflow using Provider’s Current Software

Validate Patient, Token Photo, PIN, Biometric

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Medicare, Medicaid, CHIP, Debit, HSA Patient ID and Data

Exchange Portal™

Bridging EMS with Patient Data and ER

Source: LifeMed ID

Page 18: Patient Identity and Digital Record Matching: A New Approach · 2016. 3. 1. · Learning Objectives • Learning Objective 3: Initiate change in the way the U.S. healthcare system

Big Data & Analytics

Home Health

Government Payers- Insurance

Hospital

Clinic/Physician

Education

Interoperable ID Tokens and Data Shared Between

Disparate Groups

Financial iServices

iRetail

Smarter Retail

Smarter & Safer

Healthcare

Smarter & Safer Cities

Social Business

First Responders

Smarter Communities

Source: LifeMed ID and IBM

Page 19: Patient Identity and Digital Record Matching: A New Approach · 2016. 3. 1. · Learning Objectives • Learning Objective 3: Initiate change in the way the U.S. healthcare system

http://www.himss.org/ValueSuite

The industry is ready, now

S

T

E

P

S

The utilization of a unique identifier is realized in all subject matters within STEPS™. Operational and clinical change starts with: 1. Positive patient identification 2. Accurate record matching 3. Workflow automation

Case study: Avg. admission time was reduced from 4 minutes to less than 1 minute

Assures a minimum accomplishment of an LOA of 3

Case study: Reduced duplicate errors from 7% to less than 1%

White paper: Enabled the hospital to work with community and local retailers to help change overall health

The operating budget impacted by utilizing authoritative digital identity: $1,837,917.33

Page 20: Patient Identity and Digital Record Matching: A New Approach · 2016. 3. 1. · Learning Objectives • Learning Objective 3: Initiate change in the way the U.S. healthcare system

Questions? Tess Coody-Anders [email protected] 210-884-8060 Roderick Bell [email protected] 505-659-8947