Hospital adoption of information technologies and
improved patient safety: a study of 98 hospitals in
Florida.
by Menachemi, Nir^Saunders, Charles^Chukmaitov, Askar^Matthews,
Michael C.^Brooks, Robert G.
EXECUTIVE SUMMARY
Most of the studies linking the use of information technology (IT)
to improved patient safety have been conducted in academic medical
centers or have focused on a single institution or IT application. Our
study explored the relationship between overall IT adoption and patient
safety performance across hospitals in Florida. Primary data on hospital
IT adoption were combined with secondary hospital discharge data.
Regression analyses were used to examine the relationship between
measures of IT adoption and the Patient Safety Indicators (PSIs) of the
Agency for Healthcare Research and Quality.
We found that eight PSIs were related to at least one measure of IT
adoption. Compared with administrative IT adoption, clinical IT adoption
was related to more patient safety outcome measures. Hospitals with the
most sophisticated and mature IT infrastructures performed significantly
better on the largest number of PSIs. Adoption of IT is associated with
desirable performance on many important measures of hospital patient
safety. Hospital leaders and other decision makers who are examining IT
systems should consider the impact of IT on patient safety.
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Preventing medical errors and improving patient safety are among
the most important potential advantages of adopting information
technology (IT) in healthcare. For decades, the Institute of Medicine
and other experts have been discussing the theoretical and anecdotal
benefits of using computers to improve the quality of care (Bates et al.
2001; Dick, Steen, and Detmer 1991; Institute of Medicine 2001; McDonald
1976). Hospital researchers have demonstrated that the use of individual
IT applications (e.g., computerized order entry and clinical decision
support systems) is associated with desirable outcomes, including
reduction of errors (Bates et al. 1998; Kaushal, Shojania, and Bates
2003), improved compliance with published guidelines (Dexter et al.
2001; Teich et al. 2000), and more efficient delivery of care (Bates et
al. 1999a; Tierney et al. 1993).
Despite the growing body of literature that links IT to improved
outcomes, the generalizability of existing studies has been questioned
because many of the studies have been conducted in select academic
medical centers, which have advanced resources and a decades-long
commitment to IT that are not typical of other U.S. hospitals (Chaudhry
et al. 2006). Furthermore, many studies have focused on individual
homegrown IT applications and were not designed to measure the
collective IT capabilities of a given hospital. Thus, it is not known
whether hospitals that adopt a relatively higher number of commercially
available information systems truly provide superior care.
This article explores the relationship between IT adoption and
patient safety performance among hospitals in Florida. We combined
primary IT survey data and secondary administrative discharge data from
hospitals in the state, and then we measured overall hospital IT
sophistication using a previously derived and validated method (Burke
and Menachemi 2004). Patient outcomes were measured using the Patient
Safety Indicators (PSIs) developed by the Agency for Healthcare Research
and Quality (AHRQ).
CONCEPTUAL FRAMEWORK
The presence of IT does not in itself improve the quality of care.
In fact, when improperly implemented, IT may inadvertently increase
errors (Koppel et al. 2005). However, when properly designed and
implemented, IT systems can ultimately produce better outcomes by
improving various aspects of care delivery. For example, Bates and
colleagues (1998; 1999b) found that the use of a computerized physician
order entry system resulted in a 55 percent reduction in serious
medication errors and, when used with a clinical decision support
system, an 83 percent reduction in overall medication errors. Overhage
and colleagues (1997) showed that automated computer reminders can
significantly increase adherence to evidence-based protocols and can
significantly decrease the number of pharmacy interventions for
inappropriate medication orders in the hospital setting. Kuperman and
colleagues (1999) found that computer-generated alerts to physicians
from a laboratory information system resulted in significant decreases
in both the time until treatment was ordered and the time until orders
were implemented. Wong and colleagues (2003), who studied the effect of
computerized documentation on the use of time by nurses in the critical
care unit, suggested that an information system can decrease time spent
on administrative duties and can increase time spent on direct patient
care.
Other patient safety benefits have been identified with the use of
various technologies, including bar-coded medication management (Johnson
et al. 2002; Meyer et al. 1991), pharmacy information systems (Grams,
Zhang, and Yue 1996; Troiano 1999), pharmacy dispensing systems
(Kaushal, Barker, and Bates 2001), and clinical decision support systems
(Berner et al. 2006). Collectively, these studies show that IT can be
used to improve efficiency and timely access to clinical information,
enhance the clinical decision-making process, and improve communication
between providers. Ultimately, greater efficiency can translate into
improved outcomes because it enables clinicians to spend more time with
patients.
Although each of these studies examined only one IT application
used in only one hospital, we extrapolated from the literature and
hypothesized that hospitals that have adopted a greater number of
information systems will provide safer care. We also projected that
hospitals with more robust IT infrastructures would perform better on
patient safety measures.
METHODS
We used both primary and secondary data. The primary data were
collected in 2003 with a survey that targeted all chief information
officers (CIOs) of Florida hospitals. The survey included a variety of
questions regarding priorities, barriers, and current IT adoption.
Secondary data included hospital discharge data for 2003, which were
obtained from the Florida Agency for Health Care Administration, the
agency responsible for regulating hospitals in Florida. Using the
hospital discharge data and software from AHRQ, we calculated outcomes
using the PSIs of AHRQ.
Hospital IT Data
The primary survey data were collected as part of a larger study on
IT adoption practices among acute care hospitals in Florida (Menachemi
et al. 2005a; Menachemi et al. 2005b; Menachemi et al. 2006; Menachemi
et al. 2007a; Menachemi et al. 2007b). To identify eligible hospitals,
we obtained a list of all hospitals in the state from the Florida
Hospital Association. In the original study, the focus was on acute care
facilities; thus, Veterans Affairs hospitals, psychiatric facilities,
and other specialty facilities (e.g., pediatric hospitals) were
excluded.
The mailed questionnaire asked CIOs to indicate which clinical,
administrative, and strategic information systems were already
implemented at their hospital at the time of the survey (for a complete
list of these IT applications, see the appendix at the end of this
article). Before administering the survey, we tested the survey
instrument for clarity, readability, and content validity with a panel
of IT experts and local hospital CIOs. The survey also included
questions regarding facility characteristics and other hospital-level
metrics. The survey protocol was approved by the institutional review
board at Florida State University.
Of the 198 hospitals targeted in the study, 98 provided usable
responses, for an overall response rate of 49.5 percent. Based on a
previously validated method (Burke and Menachemi 2004) that has been
used frequently by researchers (Bhattacherjee et al. 2006; Burke et al.
2002; Menachemi et al. 2007a; Menachemi et al. 2007b; Wang et al. 2005),
we divided measures of IT adoption into three functional categories:
clinical, administrative, and strategic. Each of these three measures
was composed of a summated scale that represents the total number of
individual IT applications adopted by a given hospital for each
functional category. For example, the clinical IT summated scale for a
given hospital could range from 0 (if that hospital had adopted none of
the clinical IT applications examined) to 25 (if that hospital had
adopted all clinical IT applications). The administrative IT summated
scale ranged from 0 to 21, and the strategic IT summated scale ranged
from 0 to 10.
Overall, each hospital received three scores--one for the count of
IT applications the hospital adopted in each of the three categories.
Higher scores on any scale indicated that relatively more IT
applications were adopted. Because strategic applications are designed
to make use of and to integrate readily available administrative and
clinical information, such applications are typically adopted only after
a significant number of administrative and clinical IT systems are
present (Burke et al. 2002). Thus, higher scores on the strategic IT
scale indicate a higher degree of information system integration and a
higher level of overall robustness of a hospital's IT
infrastructure. The strategic IT scale is, therefore, a proxy measure
for overall information system maturity, as described by the Institute
of Medicine (2000; 2001).
Patient Safety Indicators
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