To the Editor:
We read with great interest the recent article by Kheterpal et al.1 We would contend that this article highlights an issue common in studies of clinical decision support—namely, that they improve process outcomes but have little demonstrable ability to improve clinically relevant outcomes.2 To date, there have been few studies correlating clinical decision support to improved patient outcomes in the perioperative literature.3,4 Given the amount of time and energy investigators devote to designing and implementing clinical decision support, this is, to be blunt, frustrating. Even more so because clinical decision support tools offer a means for using informatics expertise to implement an intervention that has significant face validity. That is, they offer providers timely and relevant information that highlights opportunities for making clinical interventions that they otherwise may have failed to recognize, thereby improving outcomes.
Why, then, the disconnect—inadequate validation and flawed study design, as Dr. Sessler asserts in his editorial?5 Small effect size? We would contend that it is more likely indicative of a need to perform multicenter validation of clinical decision support tools. As the authors have shown previously, clinical decision support tools may vary in their effectiveness across institutions.6 We propose that future studies of clinical decision support tools would be best structured as multicenter studies and, where possible, should be designed to demonstrate the intervention’s impact on patient outcomes, rather than just process change—the field is ready for that critical next step.
Footnotes
Research Support
Dr. Freundlich is supported by a Vanderbilt Faculty Research Scholars grant (Vanderbilt University, Nashville, Tennessee).
Competing Interests
Dr. Freundlich has received grant support from Medtronic (Boulder, Colorado) for work unrelated to the content of this letter. The remaining authors declare no competing interests.
References
- 1.Kheterpal S, Shanks A, Tremper KK: Impact of a novel multiparameter decision support system on intraoperative processes of care and postoperative outcomes. Anesthesiology 2018; 128:272–82 [DOI] [PubMed] [Google Scholar]
- 2.Freundlich RE, Ehrenfeld JM: Anesthesia information management: Clinical decision support. Curr Opin Anaesthesiol 2017; 30:705–9 [DOI] [PubMed] [Google Scholar]
- 3.Ehrenfeld JM, Wanderer JP, Terekhov M, Rothman BS, Sandberg WS: A perioperative systems design to improve intraoperative glucose monitoring is associated with a reduction in surgical site infections in a diabetic patient population. Anesthesiology 2017; 126:431–40 [DOI] [PubMed] [Google Scholar]
- 4.Epstein RH, Dexter F, Patel N: Influencing anesthesia provider behavior using anesthesia information management system data for near real-time alerts and post hoc reports. Anesth Analg 2015; 121:678–92 [DOI] [PubMed] [Google Scholar]
- 5.Sessler DI: Decision support alerts: Importance of validation. Anesthesiology 2018; 128:241–3 [DOI] [PubMed] [Google Scholar]
- 6.Ehrenfeld JM, Epstein RH, Bader S, Kheterpal S, Sandberg WS: Automatic notifications mediated by anesthesia information management systems reduce the frequency of prolonged gaps in blood pressure documentation. Anesth Analg 2011; 113:356–63 [DOI] [PMC free article] [PubMed] [Google Scholar]