As NAHAM members
well know, managing patient identities is one of the hidden problems
of health information exchange (HIE) and electronic health record
(EHR) technology. Every patient needs a single and unique identifier tied
to his records, and a simple typo or a misspoken birthday can leave a patient
with duplicate records, potentially compromising his care.
Many hospitals
use their own master patient indexes (MPIs) to check if patients have an
existing record, but the emergence of HIE means new challenges in ensuring
accuracy across multiple providers for millions of new patients. Unique
identifiers must be the same across the entire HIE for the network to function,
and NAHAM has been working to provide a toolkit to members to assist with that
goal.
According to a white paper
on EHR Intelligence, establishing a unique identifier can also be accomplished
with the help of a system-wide enterprise MPI (EMPI). An EMPI provides
its own identifier that spans the entire network, requiring accurate and
complete data across every department or healthcare provider contributing to a
patient’s care.
Quality control
during the admissions process is the first step towards ensuring accuracy, but
staff performing the data entry is often under conditions that require them to
be as speedy as possible: mishearing the spelling of a surname or transposing a
letter in a street address can accidentally create an entirely new record and
identification number for a patient who may have visited the facility before. Without
consulting the patient, it’s nearly impossible to tell if the original data is correct
or if a mistake was made previously and the new input is the proper
information. Implementing safeguards in patient record software to
prevent these small mistakes may seem like an easy task, but human error will
always find a way to defy technology.
HIE vendors are
trying to work around these problems with a variety of innovative ideas such as
biometric data or cloud-base solutions, but patient records are
continually developing collections of changeable data. The goal of HIE
and EHR is to manage this data cleanly, effectively, and with the maximum
benefit to the patient, but the margin for error only grows wider as more and
more providers try to collaborate and share information.
HIE systems must be capable of preventing
mistakes caused by duplication or accidental deletion of records, but
healthcare providers themselves are ultimately responsible for being certain
that the patient in front of them matches the information on their computer
screen.
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