Development of a Web-Based Nonoperative Small Bowel Obstruction Treatment Pathway App.

OBJECTIVE: An electronic pathway for the management of adhesive small bowel obstruction (SBO) was built and implemented on top of the electronic health record. The aims of this study are to describe the development of the electronic pathway and to report early outcomes. METHODS: The electronic SBO pathway was designed and implemented at a single institution. All patients admitted to a surgical service with a diagnosis of adhesive SBO were enrolled. Outcomes were compared across three time periods: (1) patients not placed on either pathway from September 2013 through December 2014, (2) patients enrolled in the paper pathway from January 2017 through January 2018, and (3) patients enrolled in the electronic pathway from March through October 2018. The electronic SBO pathway pulls real-time data from the electronic health record to prepopulate the evidence-based algorithm. Outcomes measured included length of stay (LOS), time to surgery, readmission, surgery, and need for bowel resection. Comparative analyses were completed with Pearson's chi-squared, analysis of variance, and Kruskal-Wallis tests. RESULTS: There were 46 patients enrolled in the electronic pathway compared with 93 patients on the paper pathway, and 101 nonpathway patients. Median LOS was lower in both pathway cohorts compared with those not on either pathway (3 days [range 1-11] vs. 3 days [range 1-27] vs. 4 days [range 1-13], p = 0.04). Rates of readmission, surgery, time to surgery, and bowel resection were not significantly different across the three groups. CONCLUSION: It is feasible to implement and utilize an electronic, evidence-based clinical pathway for adhesive SBOs. Use of the electronic and paper pathways was associated with decreased hospital LOS for patients with adhesive SBOs.

"Smart Forms" in an Electronic Medical Record: documentation-based clinical decision support to improve disease management.

Clinical decision support systems (CDSS) integrated within Electronic Medical Records (EMR) hold the promise of improving healthcare quality. To date the effectiveness of CDSS has been less than expected, especially concerning the ambulatory management of chronic diseases. This is due, in part, to the fact that clinicians do not use CDSS fully. Barriers to clinicians' use of CDSS have included lack of integration into workflow, software usability issues, and relevance of the content to the patient at hand. At Partners HealthCare, we are developing "Smart Forms" to facilitate documentation-based clinical decision support. Rather than being interruptive in nature, the Smart Form enables writing a multi-problem visit note while capturing coded information and providing sophisticated decision support in the form of tailored recommendations for care. The current version of the Smart Form is designed around two chronic diseases: coronary artery disease and diabetes mellitus. The Smart Form has potential to improve the care of patients with both acute and chronic conditions.

User interface accelerators for clinical documentation in Smart Form.

We have deployed a number of user interface accelerators within the text editor of a documentation-based clinical decision support application. These accelerators enhance the process of documenting a visit and promote closer integration of actionable decision support into the documentation workflow.

Smart Form framework as a foundation for clinical documentation platform.

Smart Form--a condition-driven documentation tool with integrated advanced decision support--is built on a flexible framework and is evolving into a platform for a variety of Web-based clinical documentation systems.