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Dan Unger

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。

See content from Dan Unger

Playing to Win in 2022 in Healthcare Finance: How to Tackle Lower Volumes, Higher Costs, and Big Competition

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.

那么,传统的医疗提供者如何适应这种新的医疗环境并茁壮成长呢?他们必须首先认识到即将到来的挑战是一个业务问题,而不是技术或护理问题。这意味着利用其首席财务官和财务领导人发挥更大的协作作用,增强临床医生的能力,使其做出更好的决策,并将卫生系统的关键差异数据付诸使用。

Solutions for Financial Management in Healthcare

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, […]

Resolving Uncompensated Care: Artificial Intelligence Takes on One of Healthcare’s Biggest Costs

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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