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M2SYS Technology - PowerPoint Presentation

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M2SYS Technology - PPT Presentation

TM Free Online Learning Podcasts Patient Identification in Healthcare with Nancy Farrington CHAM EMPI Administrator HIM Main Line Health System Topics Covered in Podcast The 1 challenge in patient identification ID: 311480

duplicate patient records medical patient duplicate medical records identification healthcare misidentification amp performers information data study health safety exchanges

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Slide1

M2SYS Technology

TM

Free Online Learning Podcasts

Patient Identification in Healthcare with Nancy Farrington, CHAM, EMPI Administrator – HIM, Main Line Health SystemSlide2

Topics Covered in Podcast:

The #1 challenge in patient identification

Patient identification’s role in patient safety strategies

Real risks of patient misidentification

What can be done to prevent patient misidentification?

Patient Identification issues across health information exchanges Slide3

No established standards on what to use for patient IDLack of consistency on how patient ID data is collected

Public perception that they don’t have to present ID when accessing healthcare

#1 Challenge in Patient IdentificationKey Points:

Did you know?

Nancy Farrington has over 30 years of

experience in patient access and served on

NAHAM’s board of

directors.Slide4

Patient Identification’s Role in Patient Safety Strategies

Joint Commission standard for 2 patient identifiers only applies to in-house patients (small subset of patient population), not at the point of registration

Healthcare Information & Management Systems (HIMSS) working on developing positive patient ID documentationCongress is investigating the possibility of creating a uniform patient identification card among other optionsClear lack of patient identification standards hampering industry

Accurate patient identification is essential in patient safetySlide5

Patient Identification’s Role in Patient Safety Strategies (continued)

College of Healthcare Information Management Executives (CHIME) recently conducted study that 19% of hospitals that participated had an adverse patient mismatch in past year

Did you know? Healthcare fraud is estimated to cost between $70 billion and $255 billion per year which accounts for between 3% and 10% of total healthcare costs.

– The Ponemon InstituteSlide6

Risks and Costs of Patient Misidentification/Duplicate Medical Records

Conservative industry estimates indicate that duplicate medical records cost approximately $20 - $25 per duplicate for remediationMany believe that the cost of duplicate medical records are higher for healthcare than losses related to medical identity theft

Patient misidentification sometimes leads to unnecessary additional testing & duplicate patient care that insurance won’t coverTime lost by patient and provider is often overlooked as a consequence of patient misidentification & duplicate medical recordsSlide7

Lawsuits & loss of confidence by community are additional costs and risks borne by patient misidentification and duplicate medical records

Risks and Costs of Patient Misidentification/Duplicate Medical Records (continued)

Did you know? Accurate Patient Identification has been number one on the list of the Joint Commission’s

Hospital National Patient Safety Goals since 2003. Slide8

Duplicate Medical Records – Is Healthcare Addressing the Issue?

Clearly not getting the attention it deservesIssue may reach critical mass within next year partly because of push to electronic medical/health records (EHR/EMR), healthcare information exchanges (HIEs), and Meaningful Use

At the end of Meaningful Use round 2 is when many expect duplicate medical record issue to become more prominent Did you know? Healthcare fraud continues to be the top category for

arrests and convictions each year according to the Coalition Against Insurance Fraud. Slide9

Results of NAHAM’s Study on Duplicate Medical Records

Conducted in 2008Focused on contributing factors to duplicate medical records & what is being done to prevent and resolve them, not the cost

More than 200 respondentsRespondents categorized into high and low performers:High performers – Those having less than 2% duplicate rate in MPI

Low performers – Those having greater than 6% duplicate rate in MPI Most healthcare organizations underreport the number of duplicate records in their systemSlide10

Results of NAHAM’s Study on Duplicate Medical Records (continued)

What characteristics distinguished high performers from low performers for patient data collection?High Performers

Collecting patient social security numbersCollecting patient address & telephone numberCollecting other names and aliases

*(If you can check on previous variations of people’s names, you will have a higher patient match rate) Low Performers

Had higher rate of patient ID errors and problems found by nursing and clinical departments (more expensive to resolve patient misidentification)Slide11

Results of NAHAM’s Study on Duplicate Medical Records (continued)

One conclusion from study is that the more data elements that are required during patient ID process, less likely that an error will occurFuture studies will include more in-depth analysis on what types of technologies facilities are using (for example, biometric patient identification) and how this will impact the results

Nancy predicts that more hospitals will use biometrics for patient ID in the future, helping to boost adoption and acceptanceOrganizations that have multi-disciplined approach to educate staff & resolve duplicates are more successful than those who delegate responsibility to strictly one department

ConclusionsSlide12

What can be done to Prevent Patient Misidentification?

Adopting new technologies to assist in the patient ID processExamples

Smart cardsBiometricsAdvanced probabilistic matching software

There is long term return on investment (ROI) for technology upgrades Did you know?

Nearly

half of all medical identity theft victims lost

their

health care coverage and only 10% of all

medical

identity

theft victims’ incidents were

completely resolved.

- The

Ponemon Institute Slide13

What are Main Issues for Patient

Identification Across Health Information Exchanges (HIEs)?

Information is being exchanged without available contact (conversation) with the patient for confirmation – i.e. electronic data exchanges will require more matching data pointsSize of database increases chances of misidentifying patients and creating duplicate medical records

Patient access to data will uncover more identification errors and duplicate medical recordsSlide14

Thank you to Nancy Farrington for lending us her time and knowledge for this podcast!Slide15

John TraderPR and Marketing

M2SYS Technology1050 Crown Pointe Pkwy.Suite 470Atlanta, GA 30338

jtrader@m2sys.com770-821-1734

www.m2sys.comTwitter: twitter.com/m2sys

Facebook:

facebook.com/m2sys

LinkedIn:

linkedin.com/company/m2sys-technology

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