For example, engineering has traditionally relied on algorithms, statistical analysis, models, and prediction

Current models are based on a reactive and transactional approach to how health care is delivered. focused on the future of health care, what it might look like, and how it can change from a reactive model We have the wrong model Reactive Transactional Funding the wrong things Regulation that constrains My thoughts Health care systems are based on a model that is not sustainable and it has been this way

Promise Theory provides the commitment model.

The RACI (Responsible, Accountable, Consulted, Informed) model is a framework that defines roles and The Obligation Owner aligns with this model by assuming the role of the "Accountable" party for compliance obligations they make certain that obligation objectives are achieved and the other roles of the RACI model

brain, provides a useful model and operational approach applicable to this situation. Geoffrey Moore's concept of business zones aligns closely with McGilchrist's hemispheric model. Two Types of Risk McGilchrist's two hemisphere model also helps to understand how we contend with threats Two Management Capabilities The left and right brain model also sheds light on two management capabilities McGilchrist's model of the divided brain offers a compelling lens through which to view these management

Following the laws of cybernetics, to be a good regulator they must be a model of the system they are In this field, "freezing" a model is a critical strategy to ensure consistent performance and safety. Our governance models must innovate beyond traditional, static approaches and embrace the inherent complexity

analytics can help to prevent a total failure if controls can respond fast enough and if the failure mode due to a lack of knowledge (epistemic uncertainty) prediction is limited based on the strength of our models

Uncertainty with the model of the organization Each organization will have some idea or model for how The sophistication of the model is not always what is important. Improved models are needed to effectively buy-down reducible risk by reducing likelihoods and the consequence

companies are viewing customers as a means to an end – fuel for their AI engines, shiny generative models (to name a few) have already scraped much (if not all) of the internet to train their generative AI models

Transparency in AI algorithms, data privacy protection, and addressing bias in machine learning models XAI emphasizes transparency and interpretability in AI systems, ensuring that decisions made by AI models

than focusing on integration alone, Lean Compliance emphasizes operability through a comprehensive model

An Ideal Systems Model To move closer to holistic approach, we need a systems model for the organization A Model for Systems Intervention (TSI) Total Systems Intervention (TSI) is a methodology intended to theoretical principles were derived: Organizations are too complicated to understand using one management model