The American journal of managed care
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Emergency department risk model: timely identification of patients for outpatient care coordination.
Major depressive disorder (MDD) is linked to a 61% increased risk of emergency department (ED) visits and frequent ED usage. Collaborative care management (CoCM) models target MDD treatment in primary care, but how best to prioritize patients for CoCM to prevent frequent ED utilization remains unclear. This study aimed to develop and validate a risk identification model to proactively detect patients with MDD in CoCM at high risk of frequent (≥ 3) ED visits. ⋯ The risk identification model has potential for clinical application in triaging primary care patients with MDD in CoCM, aiming to reduce future ED utilization.
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To examine the association between missed CMS Star Ratings quality measures for medication adherence over 3 years for diabetes, hypertension, and hyperlipidemia medications (9 measures) and health care utilization and relative costs. ⋯ Missing Star Ratings quality measures for medication adherence was associated with an increased likelihood of health care resource utilization and increased costs for patients taking medications to treat diabetes, hypertension, and hyperlipidemia.
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In 2018, CMS established reimbursement for the first Medicare-covered artificial intelligence (AI)-enabled clinical software: CT fractional flow reserve (FFRCT) to assist in the diagnosis of coronary artery disease. This study quantified Medicare utilization of and spending on FFRCT from 2018 through 2022 and characterized adopting hospitals, clinicians, and patients. ⋯ In the initial 5 years of Medicare reimbursement for FFRCT, growth was concentrated among well-resourced hospitals and clinicians. As Medicare begins to reimburse clinicians for the use of AI-enabled clinical software such as FFRCT, it is crucial to monitor the diffusion of these services to ensure equal access.
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Challenges in implementing telemedicine disproportionately affect patients served in safety-net settings. Few studies have elucidated pragmatic, team-based strategies for successful telemedicine implementation in primary care, especially with a safety-net population. ⋯ Understanding how to strategically use team-based workflows to expand video visit access while ensuring care quality of all telemedicine visits will allow primary care practices to maximize telemedicine's benefits to patients in the safety-net setting.
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This editorial discusses positions for academic medical centers to consider when designing and implementing artificial intelligence (AI) tools.