HOW MEANINGFUL CAN BE “MEANINGFUL USE”?

There are a few major categories of electronic record systems used in modern healthcare:

• Admission-Discharge-Transfer (ADT)
• Scheduling
• Diagnostic and analysis (laboratory, DI, radiology, pathology, etc.)
• Procedure
• Pharmacy/Rx
• Billing
• EHR

As it is with any other information system, their main goal is storing data, simplifying its retrieval and automating its processing to deliver information in the way that makes sense to each user. In most cases, they do a good job increasing efficiency of respective business processes. But their combined effect can be even greater if EHR systems are able to communicate with the others and one another electronically. In my previous post, I mentioned that the capability of an EHR system to interact with Rx applications would decrease the risk of drug allergies and incompatibilities, especially, when the information from available problem and medication lists could be utilized. Another benefit is the ability to use consistent terminology and codes (e.g., SNOMED CT, LOINC, ICD-10) throughout the entire care environment, which would enable much more efficient search and reporting options, especially, at the RHIO and NHIN level. This is what I would expect the Health IT Policy and Standards Committees to concentrate on, when considering definitions of meaningful use of EHR.

WHAT EHR IS ABOUT

Currently, a number of discussions are going on, regarding various aspects of the Electronic Health Record (EHR), including its definition, contents, structure, uses, availability and access control. According to the Health Information Technology American Recovery and Reinvestment Act (Recovery Act) Implementation Plan, published by the Office of the National Coordinator for Health Information Technology, there are two major goals set forth by the Federal Health IT Strategic Plan:

1. Inform Health Care Professionals: Provide critical information to health care professionals to improve the quality of care delivery, reduce errors, and decrease costs.
2. Improve Population Health: Simplify collection, aggregation, and analysis of anonymized health information for use to improve public health and safety.

From my point of view, they translate into:

• Paperless medical offices, including:
  - Computerized Physician Order Entry (CPOE)
  - e-Prescribing
• Continuity of care, meaning:
  - Prevention of duplicate tests and diagnostic procedures
  - Comprehensive medical, family and social history
  - Awareness of allergies and avoidance of adverse drug interactions
• Collection of diagnoses, treatment plans and outcomes, which would enable:
  - Discovery of environmental causes of disproportionally high or low probability of certain diseases among populations
  - Learning about effects of age, race, gender, etc., on the probability to develop a specific condition
  - Biosurveillance; early detection of epidemic outbreaks
  - Evidence-based decision support

Apparently, the items in the second list have little to do with and do not need much of personal information, so patient records can and should be de-identified. This is relatively easy to do as long as EHR data is well structured, and all sections and elements are distinctly separate. HIMSS defines the EHR as “… a longitudinal electronic record of patient health information generated by one or more encounters in any care delivery setting. Included in this information are patient demographics, progress notes, problems, medications, vital signs, past medical history, immunizations, laboratory data and radiology reports.” The Continuity of Care Record (CCR) schema adds advanced directives, family and social history. It provides a format for exchanging patient information between EHR systems and could become one of Health Information Exchange (HIE) interoperability standards. But this is a big topic, which I would like to touch a bit later in a separate post.

The complexity and features of an EHR system definitely depend on the environment it is used in, and will be different for a specialist office, family practice or hospital. But the system has to be able to communicate with other applications that deal with patient data, using standard exchange formats and protocols. This would be the first and most important step towards connected care.

Unfortunately, according to Wikipedia, adoption of EHR systems in the U.S. remains low. Among major reasons, the article mentions high start up and software maintenance costs, reduced productivity during the implementation phase, and, in most cases, lack of measurable gains, especially, for smaller hospitals and clinics. There is an apparent disconnect between potential benefits on the national scale and those for an individual provider or healthcare organization. Market has failed to create incentives for implementation of EHR systems, so the Government had to step in with the HITECH Act. I believe there is a good chance for an open source EHR system, such as OpenVistA, in an ASP model, which may remove most of perceived and real barriers to wider adoption of EHR.