An electronic health record (EHR) is a digital version
of a patient's paper chart. EHRS are real-time, patient-centered
records that make information available instantly and securely to
authorized users.
The three main challenges with sharing data between EHRS have
been:
- Finding Common Patients – There is no unique
identifier that all healthcare providers use. That means you have
to determine how to match up clients from one system to the other.
For example, one system identifies a patient as “John Smith” while
another uses “Johnny Smith.” One system collects the patient’s SSN,
and the other doesn’t. In these situations, how can you link up
clients with any certainty?
- Data Translations – Once organizations
identify their language differences, a mapping must be developed.
The mapping can be as simple as gender being represented as “M” for
male in one system and “2” for male in another system – or it can
be as complicated as one system using ICD9 for diagnosis and
another using ICD10. Even standards like SNOMED, HL7, and CDD
cannot be depended upon for this task.
- Data Storage – When sharing data between
independent organizations, it is important to make sure that none
of the partners feel like they are at a disadvantage to the
partners who are holding the data.