Stan Pestotnik, MS, RPh

在本次网络研讨会上，卡尔健康公司临床和商业智能副总裁Phil Rowell m.j.将介绍卡尔健康公司如何成为人工智能和杠杆式人工智能分析的早期采用者，以应对COVID-19的复杂性，改善败血症管理，并根据历史和当前数据准确预测患者预后和相关成本。

As information once held closely by providers becomes available to health plans, employers and consumers, old hierarchies are disintegrating. “The democratization of healthcare,” as the National Academy of Medicine has labeled it, brings with it new roles and rules that challenge health systems to successfully combine high-tech analytics with sophisticated high-touch outreach.

Even though medication-associated errors affect over 7 million patients and cost more than $40 billion each year, healthcare often falls short when it comes to prioritizing patient safety. For example, in October 2021, a draft of the Department of Health and Human Services Strategic Plan FY 2022–2026 didn’t include reducing preventable harm as part of its mission to improve the quality of care. Meanwhile, other complex and adaptive industries, such as aviation and nuclear, give top precedence to safety oversight and compliance. To catch up to other sectors and actively pursue patient safety improvement, healthcare needs a straightforward framework for integrating patient safety across the continuum of care—an approach involving culture, clinical analytics, and frontline adoption of best practices.

The operational military concept known as “left of bang” endorses continuous situational awareness to avoid harm proactively—before it occurs. Healthcare, however, operates reactively in response to patient harm, often intervening once a patient safety event has occurred, versus using practices and tools to recognize and respond to threats.

Applied to patient safety, a left-of-bang approach teaches frontline clinicians to increase sensitivity to and stay in constant vigilance for threats before they happen, moving down a scale of situational awareness levels:

1.White:专注于手头的任务，但对中断基本没有准备，也没有意识到周围的情况。
2. Yellow: Constantly understanding the safety vulnerabilities of day-to-day healthcare.
3. Orange: Ready to use the needed skills and tools to react to an event.
4. Red: Taking action and laser focused on the issue at hand.

Healthcare organizations have worked hard to improve patient safety over the past several decades, however harm is still occurring at an unacceptable rate. Though the healthcare industry has made efforts (largely regulatory) to reduce patient harm, these measures are often not integrated with health system quality improvement efforts and may not result in fewer adverse events. This is largely because they fail to integrate regulatory data with improvement initiatives and, thus, to turn patient harm information into actionable insight.

完全集成的临床、成本和操作数据，再加上预测分析和机器学习，对于改善患者安全至关重要。利用这一方法的工具将识别风险，并在整个护理过程中提出干预措施。

可预防的患者伤害每年花费数十亿美元，使改善患者安全的战略成为卫生系统的当务之急。为了改善患者安全，组织必须建立一种安全文化，在整个系统中优先考虑安全问题，支持安全事件的无责任报告，并确保医疗保健IT解决方案的功能和可访问性与安全目标保持一致。2022卡塔尔世界杯赛程表时间

A sociotechnical framework gives health systems a seven-part roadmap to improving patient safety culture:

1.利用定性和定量数据。
2. Doesn’t rely on HIMSS stage levels to tell the complete safety picture.
3. Gives frontline clinicians a voice in decision making.
4. Makes IT solutions accessible to non-technical users.
5. Encourages frontline clinicians to report safety and quality issues.
6. Treats a safety issue in one area as a potential systemwide risk.
7. Performs thorough due diligence before taking safety IT solutions live.

With a potential industry-wide savings of almost $21 billion and an impact on more than seven million patient lives, preventing harmful medication error is a significant improvement opportunity for health systems. Also known as adverse drugs events (ADEs), harmful medication errors comprise about 37 percent of all medical harm. Approximately 50 percent of ADEs are preventable, making their reduction a highly impactable area of patient safety.

Current data and analytics workflow tools are making ADE surveillance, monitoring, and prevention increasingly more effective with four key capabilities:

1.ade的远景监测和以前未描述的ade的识别。
2. Identification of the root cause of many ADEs by drug class.
3. Prescription at appropriate doses for patients with compromised kidney or liver functions.
4. Identification of different types of harm to find causes.

Unlike the standard post-event reporting process, the Patient Safety Monitor Suite: Surveillance Module is a trigger-based surveillance system, enabled by the unique industry-first technological capabilities of the Health Catalyst Data Operating System platform, including predictive analytic models and AI.
The Health Catalyst PSO creates a secure and safe environment where clients can collect and analyze patient safety events to learn and improve, free from fear of litigation. Coupled with patient safety services, an organization’s active all-cause harm patient safety system is fully enabled to deliver measurable and meaningful improvements.

每年有超过40万例与患者伤害相关的死亡，花费超过10亿美元，卫生系统迫切需要改善患者安全的方法。一个有希望的安全解决方案是利用机器学习的患者伤害风险评估工具。

An effective patient safety surveillance tool has five core capabilities:

1.识别风险:对卫生系统人群中的全因伤害事件提供每日同步监测。
2. Stratifies patients at risk: places at-risk patients into risk categories (e.g., high, medium, and low risk).
3. Shows modifiable risk factors: by understanding patient risk factors that can be modified, clinicians know where to intervene to prevent harm.
4. Shows impactability: helps clinicians identify high-risk patients and prioritize treatment by patients who are most likely to benefit from preventive care.
5. Makes risk prediction accessible: integrates risk prediction into workflow tools for immediate access.