Effectiveness of a telephone-based nursing intervention to reduce hospital utilization by COVID-19 patients.

Objective: Determine the effectiveness of a COVID-19 remote monitoring and management program in reducing preventable hospital utilization.

Design: A retrospective cohort study utilizing data from electronic health records.

Sample: Two hundred ninety-three patients who tested positive for COVID-19 at a drive-through testing site in Michigan.

Inverse Relationship of Maximal Exercise Capacity to Hospitalization Secondary to Coronavirus Disease 2019.

Objective: To investigate the relationship between maximal exercise capacity measured before severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection and hospitalization due to coronavirus disease 2019 (COVID-19).

Methods: We identified patients (≥18 years) who completed a clinically indicated exercise stress test between January 1, 2016, and February 29, 2020, and had a test for SARS-CoV-2 (ie, real-time reverse transcriptase polymerase chain reaction test) between February 29, 2020, and May 30, 2020. Maximal exercise capacity was quantified in metabolic equivalents of task (METs).

The impact of industry and body part injured on repeat workers' compensation claims.

Background: Few studies investigate the influence of body part injured and industry on future workers' compensation claims.

Methods: Using claims incurred from 1 January 2005 to 31 July 2015 (n = 77 494) from the largest workers' compensation insurer in Colorado, we assessed associations between worker characteristics, second claims involving any body part and the same body part. We utilized Cox proportional hazards models to approximate the probability of a second claim.

The hospital tech laboratory: quality innovation in a new era of value-conscious care.

For decades, the healthcare industry has been incentivized to develop new diagnostic technologies, but this limitless progress fueled rapidly growing expenditures. With an emphasis on value, the future will favor information synthesis and processing over pure data generation, and hospitals will play a critical role in developing these systems. A Michigan Medicine, IBM, and AirStrip partnership created a robust streaming analytics platform tasked with creating predictive algorithms for critical care with the potential to support clinical decisions and deliver significant value.