Discharges with surgical procedures performed less often than once per month per hospital account for two-thirds of hospital costs of inpatient surgery

Visualization of aggregate perioperative data improves anesthesia case planning: A randomized, cross-over trial

STUDY OBJECTIVE

A challenge in reducing unwanted care variation is effectively managing the wide variety of performed surgical procedures. While an organization may perform thousands of types of cases, privacy and logistical constraints prevent review of previous cases to learn about prior practices. To bridge this gap, we developed a system for extracting key data from anesthesia records. Our objective was to determine whether usage of the system would improve case planning performance for anesthesia residents.

DESIGN

Randomized, cross-over trial.

SETTING

Vanderbilt University Medical Center.

MEASUREMENTS

We developed a web-based, data visualization tool for reviewing de-identified anesthesia records. First year anesthesia residents were recruited and performed simulated case planning tasks (e.g., selecting an anesthetic type) across six case scenarios using a randomized, cross-over design after a baseline assessment. An algorithm scored case planning performance based on care components selected by residents occurring frequently among prior anesthetics, which was scored on a 0-4 point scale. Linear mixed effects regression quantified the tool effect on the average performance score, adjusting for potential confounders.

MAIN RESULTS

We analyzed 516 survey questionnaires from 19 residents. The mean performance score was 2.55 ± SD 0.32. Utilization of the tool was associated with an average score improvement of 0.120 points (95% CI 0.060 to 0.179; p < 0.001). Additionally, a 0.055 point improvement due to the "learning effect" was observed from each assessment to the next (95% CI 0.034 to 0.077; p < 0.001). Assessment score was also significantly associated with specific case scenarios (p < 0.001).

CONCLUSIONS

This study demonstrated the feasibility of developing of a clinical data visualization system that aggregated key anesthetic information and found that the usage of tools modestly improved residents' performance in simulated case planning.

Development and Validation of an Algorithm to Classify as Equivalent the Procedures in ICD-10-PCS That Differ Only by Laterality

BACKGROUND

The switch from International Classification of Diseases, Ninth Revision, Clinical Modification to International Classification of Diseases, Tenth Revision, Procedure Coding System (ICD-10-PCS) for coding of inpatient procedures in the United States increased the number of procedural codes more than 19-fold, in large part due to the addition of laterality. We examined ICD-10-PCS codes for pairs of mirror-image procedures that are surgically equivalent.

METHODS

We developed an algorithm in structured query language (SQL) to identify ICD-10-PCS codes differing only by laterality. We quantified the impact of laterality on the number of commonly performed major therapeutic procedures (ie, surgical diversity) using 2 quarters of discharge abstracts from Texas.

RESULTS

Of the 75,789 ICD-10-PCS codes from federal fiscal year 2017, 16,839 (22.3%) pairs differed only by laterality (with each pair contributing 2 codes). With the combining of equivalent codes, diversity in the state of Texas decreased from 78.2 to 74.1 operative procedures (95% confidence interval, 5.1 to -3.1; P < .001).

CONCLUSIONS

Our algorithm identifies ICD-10-PCS codes that differ only by laterality. However, laterality had a small effect on surgical diversity among major therapeutic procedures. Our SQL code and the lookup table will be useful for all US inpatient analyses of ICD-10-PCS surgical data, because combining procedures differing only by laterality will often be desired.