
Calculating a social score is feasible and it predicts cardiovascular outcomes. In order to do this, institutions have to collect social determinants of health.
Calculating a social score is feasible and it predicts cardiovascular outcomes. In order to do this, institutions have to collect social determinants of health.
Using a seamlessly shared inpatient-outpatient electronic health record was associated with greater rates of postdischarge follow-up delivered through telemedicine or laboratory monitoring and without an in-person office visit.
Patient-provider communication after surgery is critical for patient safety. The growth of patient-provider communication technologies has created opportunities to study postoperative patient-initiated communication.
Among community patients living with heart failure, excellent and good patient-centered communication was associated with a reduced risk of death.
Patient-provider communication quality metrics at safety net hospitals are indirectly affected by changes in regional market factors that influence patients’ demand for care.
Disparities in dermatologic care for patients with Medicaid exist, and delays in medical dermatologic care among Medicaid patients must be addressed.
Geriatric syndrome risk factors play a role in understanding postacute destination within and between Medicare Advantage and fee-for-service Medicare cohorts.
The relatively few examples of commercially funded condition-specific bundled payments provide insights into how to spread this alternative payment model further in the private insurance market.
To mark the 25th anniversary of the journal, each issue in 2020 will include an interview with a health care thought leader. The October issue features a conversation with Kavita K. Patel, MD, MS, nonresident fellow at The Brookings Institution and editorial board member of AJMC®.
The authors used health care claims and survey data to identify a strategy that might promote life satisfaction while advancing equity in an insured population.
This paper evaluates novel machine intelligence to predict patients at risk of severe respiratory infections and recommend postacute care providers likely to reduce infection risk.
In the midst of the coronavirus disease 2019 (COVID-19) pandemic, health care leaders must work to optimize emergency department and hospital efficiency while maintaining patient access to care.
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