Tech Advisor: Electronic Prescribing Systems with Computer Decision Support
John S. Luo, MD
Dr. Luo is assistant clinical professor in the Department of Psychiatry and Biobehavioral Sciences at the University of California in Los Angeles.
Electronic prescribing (eRx) has been considered to be the
savior for medication errors by creating a printed and legible prescription or
an electronically transmitted one. With this innovation, the days of receiving
phone calls from the pharmacy asking for clarification of whether the
prescription says “Lamictal” or “Lamisil” will hopefully come to an end.
However, the benefit of eRx is more than legible prescriptions and drug
interaction checks. Decision support systems (DSS) provide much more
information, such as whether the patient has another prescription in that drug
class; appropriate renal, liver, or age dosing; and formulary availability.
This column highlights the impact of DSS in the implementation of eRx systems.
Background
The eRx concept fits right
in with the framework of the electronic medical record (EMR) and computer
physician order entry system. When first introduced, eRx did not produce the
anticipated benefit of reduced pharmacist workload with less data entry;
pharmacists still had to modify electronic prescriptions.1 For
example, a prescription entered with divalproex sodium 500 mg I PO BID would be
modified to divalproex sodium 250 mg II PO BID if the divalproex sodium 500 mg
was not available. Time was shifted away from interacting with patients only to
focus on fixing prescription problems.
However, Gandhi and
colleagues2 reported that in comparison of handwritten prescriptions
and basic eRx, computer prescribing systems had significantly less medication
error rates but did not have reduced adverse drug events. This apparent lack of
improvement with eRx is due to the inability of eRx to make changes that merely
enter on the computer what was written on paper. eRx needs to consider human
factors and implement electronic information exchanges among clinical systems
in order to be successful.3 When these developments are in place,
there are many tangible benefits in patient care.
Benefits
Computer-based decision
support with guidelines and laboratory data access helped improve decision
quality of antibiotic prescribing systems in a study by Sintchenko and colleagues.4
The study used simulated cases treating ventilator-associated pneumonia. Physicians
received no additional information, antibiotic guidelines, laboratory reports,
or a DSS with laboratory information. The study found that DSS with laboratory
information improved the quality of the antibiotic prescription by increasing
agreement with an expert panel from 65% to 97%.
Galanter and colleagues5 demonstrated that
automated clinical decision support via alerts were able to decrease the
ordering and administration of drugs due to renal insufficiency. This study
used alerts in a computer physician order entry system that provided a warning
about renal insufficiency, the current creatinine clearance, and the
recommended safe creatinine clearance. The system also provided a contact
number so that the physician could call the on-call pharmacist to discuss this
alert if necessary. Decision support at the point of care via personal digital
assistants (PDAs) have demonstrated improvement in antibiotic use and decreased
length of stay.6 Sintchenko and colleagues6 compared
prescribing habits 6 months prior to implementation of the handheld system and
6 months immediately afterwards; the latter time period generated significantly
less use of broad spectrum antibiotics and a drop in length of stay, from an
average of 7.1 days to an average of 6.2 days per patient. Berner and
colleagues7 found that fewer unsafe treatment decisions were made
with a PDA-based DSS with a prediction rule for non-steroidal anti-inflammatory
drug-related gastrointestinal risk assessment and treatment recommendations.
Despite the potential for eRx with decision support to improve quality of
health care, there are some barriers to address.
Challenges
A variety of factors have limited the level of success of eRx
systems today. Several years ago, handheld eRx appeared to be on the cusp of
becoming the standard of practice. There were many vendors developing
innovative solutions to transform a Palm or Windows Mobile operating system PDA
into an eRx pad. However, it is significant to note that ScanRx, ePhysician,
and Parkstone are no longer in business today, and iScribe has been transformed
after its purchase by a pharmacy benefit management company. The downfall of
handheld prescribing did not parallel the demise of the PDA due to increasing
use of the hybrid PDA/phone (also known as the smartphone), but rather is
related to the failure of these systems to exchange information back and forth
so to produce the goal of saving time and reducing adverse events.
According to Bell and
colleagues,8 an eRx system needs to have 14 functional capacities in
order to achieve success, which include patient selection, medication selection
menus, safety alerts, formulary alerts, dosage calculations, medication administration
aids, patient education material, data transmission, alerts for patient failure
to refill, diagnosis selection, in-office dispensing, refill and renewal
reminders, corollary orders, and automated questionnaires. The ability of the
eRx solution to fulfill these goals depends on how well they are integrated
into clinical practice. Wang and colleagues9 reviewed 28
commercially available eRx systems according to above recommendations and
determined that these systems met only 50% of the criteria. This assessment is
an important issue because while many academic medical centers may have the
healthcare information technology resources to develop their own eRx solution,
community hospitals may not. Integration of eRx in an EMR system met 60% of the
criteria, compared to only 35% for stand-alone eRx systems.
Despite the benefits of an
electronic prescription system, they are still often plagued by poor physician
acceptance.10-13 If a clinical DSS in the eRx system sends
too many alerts and misses important alerts, physicians may refuse to use the
application. Too many alerts of low clinical significance will lead to high
override rates and the potential to override important alerts.14 The
developers of Athena DSS highlight that a system should not only improve
quality of care but must also focus on patient safety since automating systems
can potentially create new and unforeseen errors.15 They identified
nine potential sources of errors in the human-computer interaction, which
included potential harms due to medication withdrawal; missing data leading to
recommendation of a contraindicated drug; potential interaction of the recommended
drug with another drug prescribed for the patient; inaccuracies in program
inputs or program logic which could lead to erroneous recommendations;
potential harm due to rearranging clinician priorities with required use of
this DSS; knowledge gaps of the clinician-user that are directly relevant to
the DSS recommendations; generating false expectations on the part of the
clinician-user that the system will alert them to all problems; potential for
data overload; and potential for incorrect recommendations on cases that the
system was not designed to handle. Saleem and colleagues16 analyzed
the factors that impacted physician adherence with reminder systems, and
discovered that environmental factors played a significant role in adoption or
rejection of guidelines. Impediments to reminder use included lack of
coordination between nurses and providers; using the reminders while not with
the patient, thus impairing data acquisition and/or implementation of
recommended actions; workload; lack of clinical recommendation flexibility; and
poor interface usability. In addition to the physician-computer interface and
physician adoption problems, one of the primary hurdles is the development of
standards for the prescribing and dispensing of medications.
Steps Toward Improvement
Each potential barrier identified above needs to be addressed
in eRx system development in order to improve quality, usability, and efficacy.
Alerts that have been typically overridden due to poor specificity and alert
overload can be modified and tailored for the ambulatory care setting in order
to minimize interruptions in workflow by designating only critical and high-severity
alerts to interrupt clinician workflow.17 Saleem and colleagues16
identified environmental factors that facilitated adoption of guideline
utilization, including limiting the number of reminders at a site; strategic
location of the computer workstations; integration of reminders into workflow;
and the ability to document system problems and receive prompt administrator
feedback. Information at the electronic point of entry for antimicrobial
prescribing would be most likely to be used and would improve antimicrobial
prescribing.18 The developers of the MOXXI PDA eRx system found the
printed prescriptions, current drug list, and re-prescribing functions as the
most beneficial aspects of the system, which drove its use by physicians.19
These physicians were more likely to use the system to identify the drug
profile for patients who used more medication, made more emergency department
visits, had more prescribing physicians, and had lower continuity of care.
Organizational issues are also an important element in having technical success
in implementing DSS.20 The developers of the ATHENA DSS used a
‘‘sociotechnical’’ approach to integrate the system into primary care clinics.
They applied an iterative technical design method in response to organizational
input and obtained ongoing endorsements of the project by the organization’s
administrative and clinical leadership. Miller and colleagues3 call
for a national standard for drug interaction information format as well as a
“terminology system for prescribing.” In the report of the Joint Clinical
Decision Support Workgroup of the American Medical Informatics Association,
Teich and colleagues21 describe an outline of development and
desiderata for CDS eRx systems in terms of advances in system capabilities, uniform
standards and vocabularies, and incentives to promote adoption.
Conclusion
eRx alone has been demonstrated to not have limited clinical
adoption, which has been reflected in how that segment of the healthcare
information technology industry has struggled in the last several years.
Integration with EMRs along with DSS have demonstrated improved clinical
outcomes, but eRx continues to be a work in development. It is part of the
multi-faceted and agency process toward improving quality of patient care and
reducing medication errors and adverse outcomes. Deciding when to jump in and
implement an eRx system is a complicated decision, requiring a commitment of
technical support, finances, and foresight into whether a home-grown or
off-the-shelf system will continue to be a work in progress. However, despite
these limitations, the benefits are tangible and real to patients today.
References
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