Senior Vice President and General Manager, Financial Transformation Business
Dan Unger于2014年4月世界杯葡萄牙vs加纳即时走地加入Health Catalyst。在加入Health C世界杯葡萄牙vs加纳即时走地atalyst之前,他曾在Accretive Health工作,在那里他管理着一个团队,与山间医疗集团(Intermountain Medical Group)合作,改善收入周期流程,降低运营成本。在加入Accretive之前,丹曾在方程式咨询公司(一家医生经济咨询公司)担任顾问,并在摩根大通担任定价和盈利分析师。他毕业于亚利桑那大学(University of Arizona),获得金融和创业学位,并获得雷鸟全球管理学院(Thunderbird School of Global Management)的国际金融工商管理硕士学位。
Regardless of COVID-19 vaccine efficacy and how long it takes risk levels to fall into less threatening ranges, many effects of the pandemic are here to stay. One area that will remain fundamentally altered is the business of delivering healthcare—the strategies and ins and outs of healthcare finance. COVID-19 has fueled new delivery models and new competition, as patients and clinicians are drawn to more convenient, less costly care (e.g., virtual care) and less stressful, more productive work environments.
Health Catalyst金融转型业务总经理兼高级副总裁Dan Unger表示,有效的财务管理是医疗保健组织面临的一项持续挑战。世界杯葡萄牙vs加纳即时走地In this episode of Owning the Future of Healthcare, a Health Catalyst podcast, Unger discusses the criticality of an agile financial approach, competing with new innovative healthcare providers, […]
Uncompensated care can cost large health systems billions of dollars annually, making outstanding balances one of their biggest costs. Propensity-to-pay tools help organizations target unpaid accounts by using artificial intelligence (AI) to leverage external and internal financial and socioeconomic data and identify the likelihood that patients in a population will pay their balances (propensity to pay). With propensity-to-pay insight, financial teams can focus their efforts on patients most likely to pay, and connect patients who are unable to pay with charity care or government assistance. Both health systems and patients benefit, as patients can avoid bad debt and organizations receive compensation for care they’ve delivered.
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