Baylor University Medical Center Proceedings April 2017 - 148


the three covariates. The time metrics
were grouped into pre- and postimplementation. Means and standard
errors of the two major groups for
each dependent variable were obtained for the 12 months before and
the 12 months after EHR implementation. P values were obtained
by comparing pre vs. post and adjusting for number of admits, transfers,
and month. Any P value <0.05 was
considered statistically significant.

Figure. Monthly census means.

orders continued on paper until May 7, 2013, when CPOE
was implemented. A simultaneous project was implemented
on March 3, 2013, as a bedding initiative in an effort to reduce
the door-to-admission time for newly admitted patients. Resident physicians utilized paper documentation with hand-off
to supervising attending physicians. Board-certified emergency
medicine attending physicians utilized dictation for formal,
electronic patient encounter documentation.
ED metrics were analyzed during the timeframe of March
1, 2012, to February 28, 2014, with the break in pre- and postimplementation occurring on March 1, 2013. This information
was compiled on a data information sheet for each 24-hour
day. Individual data points were collected through standardized reporting from the ED operations committee. The ED
metrics were collected for each day and grouped as dependent
variables; they included LOS for admitted patients and nonadmitted patients, door-to-door time for discharged patients,
door-to-admission time, door-to-bed time, bed-to-provider
time, provider-to-disposition time, and disposition-to-admit
time. In addition to the service time metrics above, the data
for total ED visits, admission rates, and transfer rates were collected. Outcome measures for patient flow that may correlate
with prolonged ED service times were also measured and included leaving against medical advice and leaving without being
seen. Each of these grouped dependent variables was used in
analysis of variance and compared to the ED metric timeframes
before and after EHR implementation for each metric. The
three covariates used to adjust for month-to-month variation
and patient acuity differences within the groups were month,
admission rate, and transfer rate.
Excel was used to calculate time metrics. Considering that
the data set contained errors, patient data were only excluded
if the data resulted in the integer of "0." When standard errors
and means were calculated with and without these data points,
there was no significant difference. To determine standard error
between the two groups, the dependent variable time stamps were
determined for each patient encounter. These were averaged each
day, then for the month, and then adjusted as above for each of
148

RESULTS
A total of 100,198 ED visits
were reviewed and included in this
analysis, including 701,323 unique
ED metric data points. Of these
metric data points, 378,560, or 54%, were from after EHR
implementation. During the course of the study, 13,174 patients were admitted, with the remaining number of patients
either being discharged from the ED, transferred to another
facility, leaving against medical advice, or leaving without being seen. The average monthly volume did not significantly
change after implementation (P = 0.11) (Figure). Similarly, the
monthly admission and transfer rates were also not significantly
different from pre- to postimplementation, each with a P value
of 0.06 (Table).
The mean LOS increased from 92.4 to 95.4 minutes (P =
0.01), with a change that persisted for more than 12 months
after implementation. This trend persisted through many of
the service intervals. The mean door-to-door time for total
throughput time of ambulatory patients remained prolonged by
increasing from 76.8 minutes to 81.6 minutes (P = 0.01). The
mean door-to-bed time showed a statistically significant increase
Table. Metrics before and after implementation of an electronic
health record in an emergency department
Mean (standard error)
Measure

Pre-EHR

Mean
P
Post-EHR difference value

Monthly volume (n)

4023 (84) 3863 (75)

160

0.11

Monthly admissions (n)

528 (17.1) 489 (13.6)

39

0.06

Monthly transfer (n)

4

0.06

Length of stay (min)

92.4 (1.6) 95.4 (1.0)

17 (1.3)

13 (0.7)

3.0

0.01

Door-to-door time (min)

76.8 (1.2) 81.6 (0.6)

4.8

0.01

Door-to-admission time (min)

192 (4.0) 193.8 (0.2)

1.8

0.11

Door-to-bed time (min)

10.8 (0.5) 13.8 (0.5)

3.0

0.01

Bed-to-provider time (min)

4.2 (0.1)

3.0 (0.1)

-1.2

<0.01

Provider-to-disposition time (min) 48.0 (0.7) 49.8 (0.4)

1.8

0.01

85.8 (2.7) 78.6 (3.1)

-7.2

0.80

Leaving against medical advice (n) 6.3 (0.85) 11.6 (1.17)

5.3

<0.01

Leaving without being seen (n) 19.5 (4.33) 15.5 (2.23)
 

4.0

0.24

Disposition-to-admit time (min)

Baylor University Medical Center Proceedings

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