Impact of scribes on throughput metrics and billing during an electronic medical record transition.

OBJECTIVE: Evaluate an established scribe program on throughput and revenue capture in an Emergency Department (ED) undergoing an EMR transition. METHODS: A prospective cohort design comparing patients managed with and without scribes in an academic ED. Throughput metrics (medians, min) and relative value units (RVUs, means) were collected. Data was evaluated in its entirety (three months), as well as in two subsets: go live (immediate two weeks) and adoption (two weeks post implementation to end). RESULTS: All patients: There was no significant difference in throughput or RVUs during the three month period. During go-live, scribes showed improvement in total RVUs per patient (4.63 vs 4.40, p = 0.048). During adoption, scribed patients had decreased length of stay (LOS, 221 vs 231, p = 0.023). Adults: Door to provider (28 vs 37, p = 0.014) and total RVUs (5.20 vs 4.92, p = 0.042) were improved with scribes in the go-live period. Scribes improved go-live morning and overnight shifts, while lengthening provider to disposition during afternoon shifts. No significant differences were seen in the adoption period, except for increased provider to disposition time overnight with scribes (154 vs 146, p = 0.030). Pediatrics: When all pediatric patients were compared, scribe patients had a decreased professional RVU charge (2.78 vs 2.90, p = 0.037). During go live and adoption, no significant differences were found in any other parameter or subgrouping. CONCLUSIONS: A scribe's ability to mitigate operational inefficiencies introduced by an EMR transition seems limited in an academic hospital. Previous research highlighting the impact of scribes on revenue was not replicated during this study.

Telehealth dashboard: leverage reporting functionality to increase awareness of high-acuity emergency department patients across an enterprise practice.

BACKGROUND: Emergency Medicine Telehealth (TeleEM) represents an opportunity to work directly with referral centres, rural facilities and underserved areas to mitigate unnecessary testing, optimise resource utilisation and facilitate patient transfers across health systems. To optimise the impact of a TeleEM programme, a tool is needed to remotely monitor patient activity in multiple emergency department facilities, concurrently. METHODS: After identifying data sources for activation criteria put forth by the TeleEM operations group, rules were constructed within the electronic health record to facilitate data checks and ultimately produce a yes/no response if the category's conditions were met. Responses were organised into a table, with functionality allowing end users to drill into the different sites to see patient-specific information for patients meeting activation criteria. CONCLUSIONS: The TeleEM dashboard allows for proactive engagement by the TeleEM physician and strengthens the team-based approach of critically ill.

Prolonged length of stay in ED psychiatric patients: a multivariable predictive model.

BACKGROUND: We aimed to evaluate factors associated with prolonged emergency department (ED) length of stay (LOS) among psychiatric patients and to develop a multivariable predictive model to guide future interventions to reduce ED LOS. METHODS: Electronic health records of ED patients receiving a psychiatric consultation and providing research authorization were reviewed from September 14, 2010, through September 13, 2013, at an academic hospital with approximately 73000 visits annually. Prolonged LOS was defined as ≥8 hours. RESULTS: We identified 9247 visits among 6335 patients; median LOS was 4.1 hours, with 1424 visits (15%) with prolonged LOS. In the multivariable model, characteristics associated with an increased risk of a prolonged LOS included patient age 12 to 17 years (odds ratio [OR], 2.43; P<.001) or ≥65 years (OR, 1.46; P=.007); male gender (OR, 1.24; P=.002); Medicare insurance coverage (OR, 1.34; P=.008); use of restraints (OR, 2.25; P=.006); diagnoses of cognitive disorder (OR, 4.62; P<.001) or personality disorder (OR, 3.45; P<.001); transfer to an unaffiliated psychiatric hospital (OR, 22.82; P<.001); ED arrival from 11 pm through 6:59 am (OR, 1.53; P<.001) or on a Sunday (OR, 1.76; P<.001); or ED evaluation in February (OR, 1.59; P=.006), April (OR, 1.66; P=.002), and May (OR, 1.54; P=.007). CONCLUSIONS: Many psychiatric patients had a prolonged ED LOS. Understanding the multiple, patient-specific, ED operational, and seasonal factors that predict an increased LOS will help guide allocation of resources to improve overall ED processes and patient care.

Representation of Clinical Nursing Protocols Using GEM II & GEM Cutter.

The machineable representation and execution of clinical guidelines has been the focus of research efforts for some time, however there is less examination of whether the methods and techniques for guidelines are sufficient for clinical protocols. The objective of this study was to test the feasibility of using the Guideline Elements Model II (GEM II) and GEM Cutter for the representation of clinical protocols, specifically clinical protocols commonly used by nurses. After downloading the GEM Cutter 2.5, we decomposed a set of clinical protocols and analyzed the completeness in which elemental protocol data was represented. One of the most complicated of these protocols (extravasations of infused medication) is presented as an example. While GEM II adequately represents core elements of clinical protocols at the high level, it was not possible to adequately represent sequence and associated role based permissions via use of conditional criteria at branching and procedural levels. Functionality of the tool would also be enhanced with more robust terminology management and support for multi-authoring.