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M2SYS Technology                                      TM



          Free Online Learning Podcasts




        Patient Identification in Healthcare with Nancy
Farrington, CHAM, EMPI Administrator – HIM, Main Line Health
                             System
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
Key Points:
     •   No established standards on what to use for patient ID
     •   Lack of consistency on how patient ID data is collected
     •   Public perception that they don’t have to present ID when
         accessing healthcare



                                      Did you know?

                             Nancy Farrington has over 30 years of
                             experience in patient access and served on
                             NAHAM’s board of directors.
•   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 documentation
•   Congress is investigating the possibility of creating a uniform
    patient identification card among other options
•   Clear lack of patient identification standards hampering industry
•   Accurate patient identification is essential in patient safety
•   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 Institute
•   Conservative industry estimates indicate that duplicate medical
    records cost approximately $20 - $25 per duplicate for remediation
•   Many 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 cover
•   Time lost by patient and provider is often overlooked as a
    consequence of patient misidentification & duplicate medical records
•   Lawsuits & loss of confidence by community are additional costs and
    risks borne by patient misidentification and duplicate medical records




                                        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.
•   Clearly not getting the attention it deserves
•   Issue 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.
•     Conducted in 2008
•     Focused on contributing factors to duplicate medical records & what
      is being done to prevent and resolve them, not the cost
•     More than 200 respondents
•     Respondents 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 system
•     What characteristics distinguished high performers from low
      performers for patient data collection?
    •      High Performers
         •     Collecting patient social security numbers
         •     Collecting patient address & telephone number
         •     Collecting 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)
Conclusions

 •   One conclusion from study is that the more data elements that are
     required during patient ID process, less likely that an error will occur
 •   Future 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 acceptance
 •   Organizations that have multi-disciplined approach to educate staff &
     resolve duplicates are more successful than those who delegate
     responsibility to strictly one department
•     Adopting new technologies to assist in the patient ID process
    •      Examples
         •      Smart cards
         •      Biometrics
         •      Advanced 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
•   Information is being exchanged without available contact
    (conversation) with the patient for confirmation – i.e. electronic data
    exchanges will require more matching data points
•   Size of database increases chances of misidentifying patients and
    creating duplicate medical records
•   Patient access to data will uncover more identification errors and
    duplicate medical records
Contact Information

                   John Trader
                PR and Marketing
               M2SYS Technology
            1050 Crown Pointe Pkwy.
                    Suite 470
               Atlanta, GA 30338
              jtrader@m2sys.com
                  770-821-1734
                www.m2sys.com

              Twitter: twitter.com/m2sys
           Facebook: facebook.com/m2sys
 LinkedIn: linkedin.com/company/m2sys-technology

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M2SYS Healthcare Biometrics Podcast Summary - Patient Identification in Healthcare

  • 1. M2SYS Technology TM Free Online Learning Podcasts Patient Identification in Healthcare with Nancy Farrington, CHAM, EMPI Administrator – HIM, Main Line Health System
  • 2. 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
  • 3. Key Points: • No established standards on what to use for patient ID • Lack of consistency on how patient ID data is collected • Public perception that they don’t have to present ID when accessing healthcare Did you know? Nancy Farrington has over 30 years of experience in patient access and served on NAHAM’s board of directors.
  • 4. 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 documentation • Congress is investigating the possibility of creating a uniform patient identification card among other options • Clear lack of patient identification standards hampering industry • Accurate patient identification is essential in patient safety
  • 5. 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 Institute
  • 6. Conservative industry estimates indicate that duplicate medical records cost approximately $20 - $25 per duplicate for remediation • Many 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 cover • Time lost by patient and provider is often overlooked as a consequence of patient misidentification & duplicate medical records
  • 7. Lawsuits & loss of confidence by community are additional costs and risks borne by patient misidentification and duplicate medical records 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.
  • 8. Clearly not getting the attention it deserves • Issue 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.
  • 9. Conducted in 2008 • Focused on contributing factors to duplicate medical records & what is being done to prevent and resolve them, not the cost • More than 200 respondents • Respondents 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 system
  • 10. What characteristics distinguished high performers from low performers for patient data collection? • High Performers • Collecting patient social security numbers • Collecting patient address & telephone number • Collecting 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)
  • 11. Conclusions • One conclusion from study is that the more data elements that are required during patient ID process, less likely that an error will occur • Future 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 acceptance • Organizations that have multi-disciplined approach to educate staff & resolve duplicates are more successful than those who delegate responsibility to strictly one department
  • 12. Adopting new technologies to assist in the patient ID process • Examples • Smart cards • Biometrics • Advanced 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
  • 13. Information is being exchanged without available contact (conversation) with the patient for confirmation – i.e. electronic data exchanges will require more matching data points • Size of database increases chances of misidentifying patients and creating duplicate medical records • Patient access to data will uncover more identification errors and duplicate medical records
  • 14.
  • 15. Contact Information John Trader PR and Marketing M2SYS Technology 1050 Crown Pointe Pkwy. Suite 470 Atlanta, GA 30338 jtrader@m2sys.com 770-821-1734 www.m2sys.com Twitter: twitter.com/m2sys Facebook: facebook.com/m2sys LinkedIn: linkedin.com/company/m2sys-technology