Proactive care management for artificial intelligence (AI)–identified at-risk patients reduced potentially preventable hospital admissions.
This article provides a description of prospective financial simulation methodology and use cases with empirical data for episode-based bundled payments, including implications for contract negotiations and value-based care redesign.
In this retrospective cohort study of patients with newly diagnosed psoriatic arthritis, the authors examine the association of treatment selection and costs with physician specialty.
This study identifies limited engagement with equity among academic medical centers as they develop governance processes for artificial intelligence (AI)/machine learning and predictive technologies.
The authors created a machine learning–based model to identify patients with major depressive disorder in the primary care setting at high risk of frequent emergency department visits, enabling prioritization for a care coordination program.
Trends in surveillance testing after treatment for colorectal cancer remained relatively stable recently, and patients who overutilized surveillance measures had quicker recurrence detection but higher costs.
In this discussion, panelists offer their final thoughts.
The authors identified challenges to cross-sector data sharing and the approaches used to overcome these challenges in the Mid-Ohio Farmacy, a partnership to address food insecurity.
Care coaching and behavioral health provider referral programs produce long-term savings, reductions in avoidable utilization, and increases in targeted services to treat behavioral health conditions.
Addressing avoidable emergency department (ED) utilization takes interventions in partnership with providers.
Regular users of the emergency department (ED) transiently reduced ED visits when faced with ED access barriers during the COVID-19 pandemic.
Periodic reinterpretation of genetic sequencing results presents a challenge for developing transparent and systematic coverage and reimbursement policies.
Formulary restrictions can create treatment barriers for patients with atrial fibrillation, including unnecessary delays in treatment and prescription abandonment, with vulnerable populations at greater risk.
A systematic, mixed methods “sludge audit” identified novel health system delivery targets for improving colorectal cancer screening services.
Clinical calculators that do not include demographic variables may be biased, and their equity should be understood in the context of clinical guidelines.
Although shortfalls in continuity were well described prior to coronavirus disease 2019 (COVID-19), the pandemic has created an opportunity to augment this critical component of care delivery, with the potential to improve patient-centered outcomes and enhance spending efficiency.
This article explores the patient-sharing relationships between acute hospitals and postacute hospitals and how these relationships influence patient discharge outcomes.
Changes in generic drug appearance occur often. Patients’ and pharmacists’ responses to those changes vary, with some patients stopping their medication or using it less.
Using propensity score matching in a US nationally representative sample, authors found the effect of nonadherence to diabetes guidelines on health care expenditures of patients with diabetes.
Low-value service utilization is common among all older adults, and utilization of some high-value services decreases after the onset of cognitive decline.
Findings of this evaluation of primary care clinic responses in a tiered total cost of care benefit design suggest that clinics respond by reducing prices.
This article describes the implementation of Medicaid smoking cessation guidance in a large, urban federally qualified health center to examine how state-level provisions translated into clinic-level policies.
For select patients hospitalized due to COVID-19, an academic urban hospital implemented an observation pathway that incorporated mobile health technology, reducing hospital length of stay by more than 2 days.
Bosutinib has a new indication in leukemia as a well as a newly-approved formulation.
Medication formulary policies represent a key determinant of access to medication and can be leveraged to advance pharmacoequity and health equity writ large.
Deep learning algorithms could improve palliative care by predicting mortality from electronic health records and claims data.