The Need for Systems Thinking in Digital Health Transformation

Inas S. Khayal
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Abstract

A few decades ago, digital health was primarily limited to business-to-customer-facing wellness apps. The trajectory of the digital health transformation was significantly boosted and bolstered by significant growth in venture capital funding following the COVID-19 pandemic. Digital health venture capital funding mirrored that of siloed biomedical venture capital growth. However, the value of digital health transformation in healthcare delivery (a system of systems) goes beyond the focus on technology. For digital health transformation to realize its unique opportunity to address the fragmentation of healthcare delivery systems and to truly build digital health systems that address interoperability for healthcare systems and patients, there needs to be a systemic (systems thinking) approach to digital health transformation. It's important to note that digital health, as discussed here, includes Artificial Intelligence (AI). While this paper focuses on digital transformation in healthcare, it also acknowledges the significance of digital engineering within systems engineering. And yet, there has been minimal integration of systems engineering and systems thinking into digital health transformation. Through two illustrative examples, we apply systems thinking to analyze the systemic focus of digital health companies to illustrate by juxtaposition the differences between technology-focused and system-focused digital health companies. In doing so, we highlight the pressing need to integrate systems thinking and systems engineering into a fast-paced digital health transformation climate at this critical stage of growth.

数字化医疗转型需要系统思维
几十年前,数字健康主要局限于面向企业对客户的健康应用程序。2019冠状病毒病大流行后,风险资本资金的大幅增长大大推动和支持了数字卫生转型的轨迹。数字健康风险资本的融资反映了孤立的生物医学风险资本的增长。然而,数字健康转型在医疗保健服务(系统的系统)中的价值超出了对技术的关注。为了实现数字医疗转型的独特机遇,解决医疗保健服务系统的碎片化问题,并真正构建解决医疗保健系统和患者互操作性问题的数字医疗系统,需要采用系统(系统思维)方法进行数字医疗转型。值得注意的是,这里讨论的数字健康包括人工智能(AI)。虽然本文侧重于医疗保健中的数字化转型,但它也承认数字工程在系统工程中的重要性。然而,在数字化医疗转型中,系统工程和系统思维的整合却很少。通过两个说明性的例子,我们运用系统思维来分析数字医疗公司的系统焦点,通过并列说明以技术为中心和以系统为中心的数字医疗公司之间的差异。在此过程中,我们强调在这个关键的增长阶段,迫切需要将系统思维和系统工程整合到快节奏的数字健康转型环境中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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