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. Author manuscript; available in PMC: 2016 Oct 4.
Published in final edited form as: Nat Rev Nephrol. 2011 Apr 19;7(6):348–355. doi: 10.1038/nrneph.2011.50

Table 3.

Studies of CDSS for improving renal outcomes

Study Intervention and study goal Results
Rind et al.
(1994)29
Prospective time-series (before and after implementation) to
evaluate the effects of computerized alerts on physicians
regarding serum creatinine levels in inpatients receiving
potentially nephrotoxic or renally excreted medications
Medication doses changed or discontinued an average of 21.6 h sooner
during the intervention period than before implementation of the alert
system
For patients receiving nephrotoxic medications, the relative risk of renal
impairment was 0.45 (95% CI 0.22–0.94)
Chertow
et al.
(2001)28
Prospective time-series (multiple control and intervention
intervals) to evaluate whether CDSS could improve correct drug
prescribing (dose and frequency) and outcomes in an inpatient
setting
15% of orders were modified by the computer based on renal function
Appropriate prescriptions increased during the intervention period: correct
dose was 67% vs 54% during the intervention vs control periods,
respectively, and correct frequency was 59% vs 35% during the intervention
vs control periods, respectively
Nash et al.
(2005)54
Prospective cohort study to assess the effectiveness of a
computerized alert system for reducing excessive drug dosing in
inpatients with CKD
Feedback was provided to the prescriber by nurses or
pharmacists who reviewed the alerts
Rates of excessive medication dosing at baseline were 23.2%, which
decreased to 17.3% with nurse feedback, and to 16.8% with pharmacist
feedback
Colpaert
et al.
(2006)55
Prospective trial to evaluate whether a computer system
(Centricity® Critical Care Clinisoft, GE Healthcare, Waukesha, WI,
USA) could reduce the incidence and severity of medication
prescription errors in an ICU setting
Patients with renal insufficiency assessed with a computer-based system
experienced less dosing errors than patients in a paper-based unit (12 vs
35 errors, respectively)
Field et al.
(2009)56
Randomized trial to evaluate whether real-time CDSS could
improve adherence to drug-dosing guidelines in elderly patients
with CKD or AKI in a long-term care facility, and detect excessive
medication dosing
Appropriate drug orders were significantly more common with CPOE/CDSS
than in the control group (relative risk 1.2, 95% CI 1.0–1.4)
Evans et al.
(1998)57
Prospective study to determine whether CDSS using an
anti-infective management program could reduce excess doses
of antibiotics in the ICU setting
Excess drug dosing significantly decreased in patients with CKD or AKI
during and before the intervention period (87 vs 405, respectively;
P <0.01)
Roberts
et al.
(2010)58
Prospective trial to study whether CDSS alerts independent of
CPOE could improve drug dosing in an inpatient setting
CDSS were used to calculate and update measurements of renal
function and adjust drug doses accordingly, as well as for
reporting clinically important changes in renal function
Improvements were made in dosing of key medications (enoxaparin,
vancomycin and gentamicin), and in therapeutic monitoring of gentamicin
During episodes of acute renal impairment, renally cleared drugs were
withheld on 38% of cases before the intervention period compared with
62% after the intervention period (P = 0.01)
Matsumura
et al.
(2009)59
Prospective time-series to study whether CDSS could monitor
data from a CPOE system and detect excessive medication
dosing and reduce the prescription of medications
contraindicated in patients with CKD in the inpatient setting
24% of patients had medication changes before implementation of the
alert system compared with 54% after implementation (P <0.01)
Galanter
et al.
(2005)60
Prospective times-series to study whether CPOE/CDSS could
detect excessive medication dosing and reduce the likelihood of
receiving renally contraindicated medicine in the inpatient setting
Likelihood of receiving contraindicated medication after implementation of
the CPOE/CDSS decreased from 89% to 47% (P <0.01)

Abbreviations: AKI, acute kidney injury; CDSS, clinical decision support systems; CKD, chronic kidney disease; CPOE, computerized physician order entry; ICU, intensive care unit.