Electronic clinical decision support to facilitate a change in clinical practice: Small details can make or break success.

BACKGROUND: The use of electronic clinical decision support (CDS) is becoming common to change historically common clinical practices considered outdated by current guidelines. Preimplementation design of CDS tools is key to their success in changing clinical behaviors. Unfortunately, there are no established protocols for CDS tool development, and CDS failure can result from even small design flaws. This paper describes an example of a design oversight and how correction resulted in CDS success. STUDY DESIGN AND METHODS: We performed a retrospective review of compliance with a CDS tool to encourage the use of prothrombin complex concentrate over plasma transfusion for the emergent reversal of warfarin. We identified a potential design flaw, made the necessary modifications, and repeated the compliance review. RESULTS: After CDS, plasma orders declined by 150 units/mo; however, 48% of orders placed for non-warfarin coagulopathy were still for warfarin reversal. Hospital-wide, this noncompliance was 36% and was 80% in the emergency department. By simply relocating the qualifier "NOT on warfarin" from the end to the beginning of the order, noncompliance for warfarin reversal was reduced to 5% (P < .0001 by chi-square). CONCLUSIONS: The successful use of electronic clinical decision support in the electronic medical record can depend on optimal design. Missing even small design elements such as the positioning of key terms within the tool can result in an ineffective CDS. Important design strategies to avoid poor performance are discussed as they relate to the CDS tool we describe.

Nurses' Expectations of an Inpatient Portal for Hospitalized Patients and Caregivers.

BACKGROUND: Patient portals are intended to engage patients and enhance patient-centered care. Recent studies suggest that the information within portals could provide benefits to patients and their caregivers during hospitalization; however, few studies have examined nurse and staff expectations of portals when used in the hospital setting. OBJECTIVE: This article examines inpatient nurse and support staff expectations of a commercially available inpatient portal prior to its hospital-wide implementation. METHODS: In this cross-sectional study, nurses and support staff were surveyed 1 month prior to the implementation of an inpatient portal for patients. Items included respondent characteristics, satisfaction with online inpatient portal training, expectations of the effects of portal use on patients, caregivers, and staff, overall acceptance, and barriers to its implementation. RESULTS: Of 881 respondents, 73.0% were staff nurses, 18.4% nurse assistants, 4.3% unit coordinators, and 1.2% nurse managers. Respondents were generally satisfied with the portal information they received from online training. A majority liked the portal to some extent prior to its use (66.7%); however, they noted multiple implementation barriers, including: tablets would get lost/damaged (66.2% of respondents), patients and/or caregivers would have too many questions (48.5%), and staff would have problems integrating it into their workflow (44.7%). Respondents working on medical units had higher expectations (p < 0.001) and acceptance (p < 0.01) of the portal than those on surgical and intensive care units. Nurse managers were more positive than respondents with other job roles were (all p < 0.001). CONCLUSION: Overall, nurse and support staff had high expectations of the effects of inpatient portal use prior to its hospital-wide implementation. They thought it would benefit patients and/or their caregivers; however, they also perceived several barriers to its implementation. These results will be used in conjunction with patient and caregiver perspectives to inform future efforts to evaluate and improve upon inpatient portal implementation and dissemination across health systems.

The blood utilization calculator, a target-based electronic decision support algorithm, increases the use of single-unit transfusions in a large academic medical center.

BACKGROUND: Electronic decision support has been used to reduce use of red blood cell (RBC) transfusion. With the goal of reducing transfusions, we modified our RBC orders to default to 1 unit. Next, we created a target-based algorithm, the blood utilization calculator or BUC, to calculate a dose in units, based on initial hemoglobin or hematocrit and weight. STUDY DESIGN AND METHODS: RBC orders defaulted to 1 unit in March 2016 and the BUC was implemented in July 2016. This gave three periods to compare old orders (before intervention), new orders (1-unit default), and the BUC period. A hospital dashboard that tracks blood product orders was queried to determine changes in single-unit transfusions between periods. Changes in transfusions were compared by analysis of variance. Acceptance of the BUC dosage recommendation was studied in both medical-based and surgical-based specialties. RESULTS: The number of single-unit transfusions showed significant increases after each of the two interventions studied from 247 ± 19 before interventions to 358 ± 19 and then to 445 ± 141-unit transfusions/month (p < 0.0001). The ratio of 1-unit to 2-unit transfusions increased from 0.72 to 1.67 (p < 0.0001) and we observed a 19% overall reduction in units transfused. The BUC recommendation was accepted in 49% of orders. CONCLUSIONS: One-unit default orders and implementation of the BUC resulted in a significant increase in the use of single-unit transfusions. Improvement in the rate of acceptance of the BUC recommendation should further increase the use of single-unit transfusions.