Reductions in 30-day readmission, mortality, and costs with inpatient-to-community pharmacist follow-up.

OBJECTIVES: To determine the impact of pharmacist-provided continuous care and electronic communication on readmissions among a group of high-risk patients. DESIGN: Pragmatic interventional study with 5:1 matched control. SETTING AND PARTICIPANTS: Patients discharged from any of 4 hospitals with chronic obstructive pulmonary disease, pneumonia, heart failure, acute myocardial infarction, or diabetes within Pennsylvania. Patients in the intervention group received consultative services from inpatient pharmacists before discharge and inpatient-to-community pharmacist communication of hospitalization information facilitated with the use of a secure messaging system. After discharge, patients received up to 5 in-person or telephonic medication management consultations with their community pharmacists. MAIN OUTCOME MEASURES: The principal end point was 30-day readmission. Secondary end points included time to event (readmission, emergency department [ED] visit, death, or composite of hospitalization, ED, or death) over 90 days after discharge. Financial feasibility and sustainability were also assessed with the use of a return-on-investment (ROI) model based on information within the subset of patients with health plan coverage. RESULTS: Among patients who received inpatient intervention plus consultation with community pharmacists compared with matched control patients, we observed a lower 30-day readmission rate (9% vs. 15%, respectively; P = 0.02), 30-day all-cause mortality (2% vs. 5%; P = 0.04), and composite 30-day end point of readmission, ED visit, or death (22% vs. 28%; P = 0.09). Differences between the groups diminished and no longer maintained statistical significance at 90 days. An estimated average ROI of 8.1 was also observed among the subset with health plan information (worst base case range 1.9-16.3). CONCLUSION: Connecting community pharmacists to inpatient pharmacists during the transitional hospital-to-home time frame is feasible and resulted in lower 30-day readmissions and significant ROI, that is, significant impact on health care utilization and total health care costs. Results of this study have broad implications for improving the care of high-risk patients moving from hospital to home, most notably in the engagement of community pharmacists after discharge to assure medication use and follow-up to reduce readmissions and total costs of care.

Utilizing big data to provide better health at lower cost.

PURPOSE: The efficient use of big data in order to provide better health at a lower cost is described. SUMMARY: As data become more usable and accessible in healthcare, organizations need to be prepared to use this information to positively impact patient care. In order to be successful, organizations need teams with expertise in informatics and data management that can build new infrastructure and restructure existing infrastructure to support quality and process improvements in real time, such as creating discrete data fields that can be easily retrieved and used to analyze and monitor care delivery. Organizations should use data to monitor performance (e.g., process metrics) as well as the health of their populations (e.g., clinical parameters and health outcomes). Data can be used to prevent hospitalizations, combat opioid abuse and misuse, improve antimicrobial stewardship, and reduce pharmaceutical spending. These examples also serve to highlight lessons learned to better use data to improve health. For example, data can inform and create efficiencies in care and engage and communicate with stakeholders early and often, and collaboration is necessary to have complete data. To truly transform care so that it is delivered in a way that is sustainable, responsible, and patient-centered, health systems need to act on these opportunities, invest in big data, and routinely use big data in the delivery of care. CONCLUSION: Using data efficiently has the potential to improve the care of our patients and lower cost. Despite early successes, barriers to implementation remain including data acquisition, integration, and usability.

Impact of electronic order management on the timeliness of antibiotic administration in critical care patients.

OBJECTIVE: To examine the effect of implementing electronic order management on the timely administration of antibiotics to critical-care patients. METHODS: We used a prospective pre-post design, collecting data on first-dose IV antibiotic orders before and after the implementation of an integrated electronic medication-management system, which included computerized provider order entry (CPOE), pharmacy order processing and an electronic medication administration record (eMAR). The research was performed in a 24-bed adult medical/surgical ICU in a large, rural, tertiary medical center. Data on the time of ordering, pharmacy processing and administration were prospectively collected and time intervals for each stage and the overall process were calculated. RESULTS: The overall turnaround time from ordering to administration significantly decreased from a median of 100 min before order management implementation to a median of 64 min after implementation. The first part of the medication use process, i.e., from order entry to pharmacy processing, improved significantly whereas no change was observed in the phase from pharmacy processing to medication administration. DISCUSSION: The implementation of an electronic order-management system improved the timeliness of antibiotic administration to critical-care patients. Additional system changes are required to further decrease the turnaround time.