AI and Data-Driven Decision Making — Is the C-suite Ready?

Gartner将增强智能定义为一种以人为中心的伙伴关系模型，人与人工智能一起工作，以提高学习、决策和认知表现。增强分析在这一愿景中扮演着核心角色。通过协助数据准备、洞察生成和洞察解释，增强分析帮助人类探索、分析并对分析和商业智能平台中的信息采取行动。世界杯厄瓜多尔vs塞内加尔波胆预测

Becker’s Hospital Review最近我们采访了Health Catalyst的首席分析和数据科学官Jason Jones博士，他谈到了增强分析在医疗保健领域日益增长的重要性。世界杯葡萄牙vs加纳即时走地虽然这些工具已经变得越来越普遍，但一些组织还没有考虑到它们在临床环境或高管层中的价值。

Augmented Intelligence Supports Strategic Efforts to Reduce Healthcare Costs and Improve Care

Historically, many healthcare organizations have used augmented intelligence to aid with transactional decisions, like selecting the right antibiotic for patients. The danger with this approach, however, is that organizations may miss the bigger picture of where to focus their efforts, allocate resources and set accountability targets that will promote higher quality care.

An example of this problem isclostridium difficilein healthcare settings. “Hospitals have focused on the issue ofC. difffor a long time in the inpatient setting, but less so in the emergency department. If hospital leaders don’t recognize, however, that the root of the problem may lie in the emergency department, then the organization may fail to implement preventive measures like terminal room cleaning in the ER,” Dr. Jones said. “Hundreds or thousands of patients could be harmed because leaders didn’t recognize the real problem.”

增强智能可以帮助领导者更好地了解临床质量，识别表现差异和表现不佳的根本原因，并将目标集中在未达到临床改善基准的领域。

AI-Driven Decision-Making Tools Can Assist with Organizational Change Management

Once a healthcare organization makes macro-level decisions about where to focus attention and resources, the executive team usually appoints one person to lead the change. Augmented intelligence and analytics can help these change leaders, as well. If a hospital is trying to improve pneumonia care, for instance, the person implementing the pneumonia risk-prediction model must identify where to set the threshold for action. That means calibrating the analytic tools so they meet the needs of the organization’s patient population and operations.

Unfortunately, many organizations are so eager to deploy artificial intelligence they forget about context and then the initiative goes poorly. It’s crucial to view predictive modeling and AI as tools used in the change management process. This lens enables organizations to deliver much greater benefit through augmented analytics.

“Health Catalyst spends a lot of time working with change agents in healthcare organizations,” Dr. Jones said. “We help them understand whether a predictive tool will help more than it will harm. We then analyze how to integrate the tool into existing workflows. Augmented analytics are most effective when the best possible people act upon them at the best possible time.”

In 2022, More C-suites Will Recognize the Value Augmented Intelligence Can Bring to Decision-Making

通过增强智能和分析，人类可以专注于自己擅长的决策方面，并在需要帮助的领域获得帮助，比如解释定量数据。增强智能提供计算机生成的对数据解释的见解，但随后让人类专注于与组织的价值观和优先级相关的问题。

“例如，计算机可以预测患者因肺炎而死亡的短期风险，还可以告诉我们，肺炎结果的改善在多大程度上会对公司产生重大影响，”琼斯博士说。“他们无法告诉我们的是，一个多专业、多机构的医疗保健组织想要如何考虑‘系统性’。”

In this scenario, augmented intelligence allows the organization’s leadership team to decide what systemness means to them. For instance, will all hospitals need to focus on pneumonia or will each hospital identify the area where it sees the best opportunity to improve?

Augmented intelligence and analytics are a good match for the healthcare environment. “There are some cases in healthcare where you can replace people with technology, like stocking supplies in the pharmacy. However, most healthcare decisions involve some sort of value judgment,” Dr. Jones said. “Augmented intelligence respects the value of human knowledge and keeps people in the decision-making loop.”