An Academic Medical Center-Based Incubator to Promote Clinical Innovation and Financial Value

INTRODUCTION

Within a health care landscape characterized by increasing financial pressures, fluctuating payment models, and an increasing prevalence of clinician burnout, structures to strategically support innovation are imperative to financial and clinical success.

METHODS

We developed the Brigham Care Redesign Incubator and Startup Program (BCRISP), a flexible model to test, evaluate, and scale innovative care redesign proposals. We evaluated its impact via analysis of programmatic and financial data, as well as through exploration of individual project outcomes.

RESULTS

In 5 years, BCRISP has evaluated 283 innovations, piloted 25 projects, and generated $1.8 million in total medical expense reduction and $7.1 million in increased net revenue for our institution. Initially, it was conceived as a mechanism to engage staff in population health initiatives. As shifts toward risk-based reimbursement have slowed, we have observed a similar transition among proposed and supported innovation in the program.

CONCLUSIONS

BCRISP enabled front-line clinical employees to design and pilot solutions to common and important clinical care problems, delivering financial return and improvements in care delivery. The underlying structure has been able to adapt to the changing political and economic climate, demonstrating a flexible and powerful approach to strategic investment that could be applied broadly by many health care provider organizations.

Effect of Evidence-based Clinical Decision Support on the Use and Yield of CT Pulmonary Angiographic Imaging in Hospitalized Patients

PURPOSE

To determine the effect of clinical decision support (CDS) on the use and yield of inpatient computed tomographic (CT) pulmonary angiography for acute pulmonary embolism (PE).

MATERIALS AND METHODS

This HIPAA-compliant, institutional review board-approved study with waiver of informed consent included all adults admitted to a 793-bed teaching hospital from April 1, 2007, to June 30, 2012. The CDS intervention, implemented after a baseline observation period, informed providers who placed an order for CT pulmonary angiographic imaging about the pretest probability of the study based on a validated decision rule. Use of CT pulmonary angiographic and admission data from administrative databases was obtained for this study. By using a validated natural language processing algorithm on radiology reports, each CT pulmonary angiographic examination was classified as positive or negative for acute PE. Primary outcome measure was monthly use of CT pulmonary angiography per 1000 admissions. Secondary outcome was CT pulmonary angiography yield (percentage of CT pulmonary angiographic examinations that were positive for acute PE). Linear trend analysis was used to assess for effect and trend differences in use and yield of CT pulmonary angiographic imaging before and after CDS.

RESULTS

In 272 374 admissions over the study period, 5287 patients underwent 5892 CT pulmonary angiographic examinations. A 12.3% decrease in monthly use of CT pulmonary angiography (26.0 to 22.8 CT pulmonary angiographic examinations per 1000 admissions before and after CDS, respectively; P = .008) observed 1 month after CDS implementation was sustained over the ensuing 32-month period. There was a nonsignificant 16.3% increase in monthly yield of CT pulmonary angiography or percentage of CT pulmonary angiographic examinations positive for acute PE after CDS (P = .65).

CONCLUSION

Implementation of evidence-based CDS for inpatients was associated with a 12.3% immediate and sustained decrease in use of CT pulmonary angiographic examinations in the evaluation of inpatients for acute PE. for this article.