You need a sick care systems dashboard
Arlen Meyers, MD, MBA
President and CEO, Society of Physician Entrepreneurs, another lousy golfer, terrible cook
Sick care USA is a siloed, sick, sick care system of systems masquerading as a healthcare system. Unfortunately, too few decision makers in Washington, state capitals, and corporate board rooms are ignoring the SOS.
This book, from award-winning business school professors and a tech serial entrepreneur, tells what makes startups successful. Instead of telling startups what to do, like most startup books, they share what startups should avoid. Along the way, they share small business startup success stories gleaned from the How Built This Podcast and their firsthand experiences. These stories of startup success are contrasted with stories of startup failure from startup graveyards and most notably, the Titanic. Like many of today’s startups, the Titanic hoped to disrupt the transportation industry of its time. It fell short, to a disastrous outcome, from the same sources that prevent startup success today.
The Titanic sank, in part, because those that built it and captained it suffered from multisystems failures.
Systems analysis is "the process of studying a procedure or business to identify its goal and purposes and create systems and procedures that will efficiently achieve them". Another view sees systems analysis as a problem-solving technique that breaks a system down into its component pieces and analyses how well those parts work and interact to accomplish their purpose.[1]
The field of system analysis relates closely to requirements analysis or to operations research. It is also "an explicit formal inquiry carried out to help a decision maker identify a better course of action and make a better decision than they might otherwise have made."[2]
Systems analysis is crucial for navigating complexity in modern organizations and markets.
Key points:
It involves creating models that capture the most important features and dynamics of a system
These models are necessarily simplifications, as no human or computer can flawlessly model all variables and interactions in complex systems
The goal is to create models that are useful for prediction and decision-making, not perfect replications of reality
Example: Climate models
They simplify extremely complex atmospheric interactions
Yet, they capture key features that allow for useful predictions
Developing this skill:
Study systems thinking principles
Practice creating simple models of complex systems in your organization
Focus on identifying key variables and their interactions
Identify leverage points
Focus on limiting factors
Recognize the impact of feedback loops
Beware of non-linearities and tipping points
Your car has dashboard warning lights that tell you when a component is not working or needs maintenance or adjustment, like low pressure in your right rear tire.
So should your organization. You need a medical practice automation and feedback system.
Arlen Meyers, MD, MBA is the President and CEO of the Society of Physician Entrepreneurs on Substack
President and CEO, Society of Physician Entrepreneurs, another lousy golfer, terrible cook
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