Matthew J Flannigan1, Srikar Adhikari2. 1. Department of Emergency Medicine, Michigan State University, College of Human Medicine, and Spectrum Health, Grand Rapids, Michigan, USA. 2. Department of Emergency Medicine, University of Arizona, College of Medicine, Tucson, Arizona, USA.
Abstract
OBJECTIVES: To evaluate the impact that an innovative automated ultrasound (US) work flow, which allows for bedside performance of examination documentation and order placement, has on point-of-care US billing compared to ordering US examinations through an electronic medical record. METHODS: We conducted a retrospective review of point-of-care US billing data (March 2014-February 2016) for adult and pediatric emergency departments with an emergency medicine residency and a US fellowship. An innovative work flow with the ability to automate US billing and selectively transfer the images and reports for patient care examinations to an electronic medical record and picture archiving and communication system using the QPath US work flow solution (Telexy Healthcare, Maple Ridge, British Columbia, Canada) was implemented. The total number of examinations billed and percent increase in technical and professional revenue, excluding examinations performed by US fellows, before and after implementation of the automated work flow innovation were determined. RESULTS: After implementation of our automated US work flow process, the number of patient care US examinations billed increased significantly due to completing documentation and immediate billing determination at the bedside. The increase in percent billing relative to total examinations was noted in both technical (32% to 61%; P < .0001) and professional (37% to 65%; P < .0001) billing components. In addition, there was a net increase in technical and professional fee revenue to 96% and 78%, respectively. CONCLUSIONS: The implementation of an innovative automated work flow to include bedside point-of-care US documentation, order placement, and the automated transfer of images and reports led to a significant increase in US billing revenue, documentation, and compliance.
OBJECTIVES: To evaluate the impact that an innovative automated ultrasound (US) work flow, which allows for bedside performance of examination documentation and order placement, has on point-of-care US billing compared to ordering US examinations through an electronic medical record. METHODS: We conducted a retrospective review of point-of-care US billing data (March 2014-February 2016) for adult and pediatric emergency departments with an emergency medicine residency and a US fellowship. An innovative work flow with the ability to automate US billing and selectively transfer the images and reports for patient care examinations to an electronic medical record and picture archiving and communication system using the QPath US work flow solution (Telexy Healthcare, Maple Ridge, British Columbia, Canada) was implemented. The total number of examinations billed and percent increase in technical and professional revenue, excluding examinations performed by US fellows, before and after implementation of the automated work flow innovation were determined. RESULTS: After implementation of our automated US work flow process, the number of patient care US examinations billed increased significantly due to completing documentation and immediate billing determination at the bedside. The increase in percent billing relative to total examinations was noted in both technical (32% to 61%; P < .0001) and professional (37% to 65%; P < .0001) billing components. In addition, there was a net increase in technical and professional fee revenue to 96% and 78%, respectively. CONCLUSIONS: The implementation of an innovative automated work flow to include bedside point-of-care US documentation, order placement, and the automated transfer of images and reports led to a significant increase in US billing revenue, documentation, and compliance.
Authors: Nilam J Soni; Daniel Schnobrich; Benji K Mathews; David M Tierney; Trevor P Jensen; Ria Dancel; Joel Cho; Renee K Dversdal; Gregory Mints; Anjali Bhagra; Kreegan Reierson; Linda M Kurian; Gigi Y Liu; Carolina Candotti; Brandon Boesch; Charles M LoPresti; Joshua Lenchus; Tanping Wong; Gordon Johnson; Anna M Maw; Ricardo Franco-Sadud; Brian P Lucas Journal: J Hosp Med Date: 2019-01-02 Impact factor: 2.960