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Archimedes

"Archimedes" is the name of a very detailed, comprehensive, continuous simulation model of health care developed by the Biomathematics Unit of the Kaiser Permanente's Care Management Institute. It can be used to explore the effects of a wide variety of health care interventions on health, logistic and economic outcomes of major diseases in a complex health care system. The simulation is at the level of biological, clinical and administrative detail at which interventions have their effects and clinical decisions are made. Potential applications include the design of guidelines, analysis of best practices, estimation of return on investment of care management programs, setting of clinical targets, priority setting, strategic goals, forecasting, design of performance measures, and research design.

Archimedes is a powerful new tool that can be used to answer clinical, administrative or healthcare organization questions that cannot be addressed by clinical trials (they would be to costly and take too much time) or expert opinion (the human mind can't accurately sort, weigh and integrate many variables) or other models.

Q.  What is Archimedes?
Q.  How does Archimedes differ from other models?
Q.  How does Archimedes work?
Q.  What are the model's advantages?
Q.  What types of questions can Archimedes help answer?
Q.  Are differential equations the only type of mathematics used in Archimedes?
Q.  Where does Archimedes get its data?
Q.  What if there are no good data on a variable?
Q.  How has Archimedes been validated?

 

Q: What is Archimedes?

A: Archimedes is a simulation model that creates a "virtual reality" in which all the important objects and events in the real world have corresponding objects and events in the model's world. When a simulation model is run, the objects interact and events occur as they would in the real world.

Archimedes can simulate a health care system of virtually any size.


Q: How does Archimedes differ from other models?

A: Archimedes differs from other models in that it includes virtually all aspects of care, including member/patients, diseases, providers, interventions, facilities, equipment and supplies, policies and protocols, and finances. Each of these features is included in a high level of detail, attempting to reproduce the biological and clinical events at the level of detail at which physicians think and clinical management decisions are made. Archimedes is also unique in health care in that it is a true continuous time model; any event can occur at any time.

Archimedes has unmatched:

  • Depth - for example, it approaches "blood pressure" from the Starling curve, end diastolic volume, right atrial pressure, mean arterial filling pressure…, etc.
  • Breadth - demographics, epidemiology, biology, behavior outcomes, logistics, costs
  • Validation - reproduces clinical trials through the biology of the disease
  • Power - analyzes problems at the level of detail and flexibility at which clinical and administrative decisions are actually made


Q: How does Archimedes work?

A: The most innovative and powerful feature of Archimedes is the use of differential equations to describe the progress of disease. For each disease there are one or more features that describe its progression. For example, the feature that describes coronary artery disease is the occlusion of coronary arteries. The differential equations calculate the progression of each feature; the occurrence of signs, symptoms and health outcomes as a function of the feature; and the effects of interventions on the disease's progression. The parameters of the differential equations are calibrated with actual data so that the outcomes of the diseases in the model match what is seen in reality. This includes not only matching the basic epidemiology of the disease (e.g., incidence, prevalence, morbidity and mortality rates) but also the effects of treatments on the occurrence of symptoms and health outcomes. To accomplish this, many of the parameters of the equations are themselves functions of other parameters, including not only patient characteristics (e.g., risk factors), but also features, treatments and outcomes of other diseases. This enables the model to address such things as co-morbidities.


Q: What are the model's advantages?

A: Archimedes creates a virtual world in which you can "experiment" with different interventions and/or different assumptions, either individually or in combination, and explore the effects on all the important health, logistic, or economic outcomes. You can specify the speed and degree with which any intervention is implemented. For example, if you want to estimate the maximum potential of a proposed program, you can have practitioners and patients change their behavior instantaneously and completely. Or if you want to simulate more realistic scenarios, you can have their behavior change gradually or imperfectly. Because time is sped up in this virtual world, you can try out many different combinations of interventions, and compare them to current practice or to each other. You can also look into the system as deeply as you desire, to understand not only what happens (e.g., "The net savings will be about $1.2 million."), but also why it happens (e.g., the breakdown of each budget center and which specific interventions produced which effects).


Q: What types of questions can Archimedes help answer?

A: The following are examples of the types of questions Archimedes can help answer:

  • A prominent clinic publishes a new protocol to evaluate patients with chest pain and decides whom to admit. At the Mayo clinic it reduced costs 30% without harming quality. However, the protocol that was previously used at the Mayo clinic, and against which their comparison was made, was quite different than the way chest pain patients are currently managed. If this new protocol were to be used in our system, what effect would it have on our quality and cost?
  • What actual difference does it make - in morbidity, mortality and costs - if we increase by 10 percentage points the proportion of patients who get an annual lipid profile?
  • Physicians are complaining that they do not have enough time in their brief visits to do all the things they are asked to do. What are the five most important things for them to concentrate on?
  • A specialty society has just revised its guidelines for a disease. What difference does it make?
  • How many heart attacks in years 1, 3 and 5 will be prevented if we lower the average HbA1C from 8.5% to 8.0%? What is the impact on drug, office visits and hospitalization costs?
  • Which of the key process measures related to diabetes (e.g., HbA1C test, eye exam, lipid profile) will have the greatest impact on outcomes?
  • We can hire 10 new case managers next year. Should they be put on CAD, CHF, diabetes, asthma, cancer…?


Q: Are differential equations the only type of mathematics used in Archimedes?

A: Other formulas describe the clinical, logistical and economic events that are set in motion by the symptoms and outcomes of each person's disease. These formulas are typical of regression models, decision trees, flow charts, and accounting models. All the formulas can include person-to-person differences, random variations, and uncertainty. Because Archimedes is a simulation model that follows thousands of patients, its results are subject to random variations and sampling like those of a real clinical trial.


Q: Where does Archimedes get its data?

A: Information about the demographics of the simulated members comes from large, existing administrative data sets. Information about risk factors for diseases is obtained from epidemiological studies, such as the Framingham heart study. Models of the biology of the diseases are based on known physiology. Information about the effects of different treatments is obtained from clinical research. Information about personnel, facilities and logistics is drawn from the experience of existing medical centers. Protocols are either copied from existing protocols or obtained from interviews with practitioners and staff. Cost information is taken from accounting departments.


Q: What if there are no good data on a variable?

A: Any method for making a decision - whether it is expert judgment, a clinical consensus, administrative intuition, or a mathematical model - is limited by the quality of the available information. The value of a mathematical model like Archimedes does not lie in any ability to generate new empirical data. A model like Archimedes is valuable because it can squeeze much more understanding from the data that do exist.

When data are sparse, Archimedes can perform "What if…" calculations, to determine what would happen if certain assumptions were true. It can also determine if the range of uncertainty about a variable makes any difference or determine where variations in practices make the most difference, among other valuable uses.

For long term planning, the appropriate roles of Archimedes are:

  • To estimate what would happen if all other factors remain constant
  • To estimate the effect of the intervention on outcomes - the difference in outcomes caused by the intervention - rather than the absolute value.
  • To suggest what variables should be monitored to determine if the model's predictions are on track
  • To use that information to make the best choice possible today, and use the results of tracking to continually improve the choices, as new information becomes available.
  • This is the best that can be done by any method for making decisions because no method can foresee unforeseeable events. The value of Archimedes is that it can do these four things far better (faster and more accurately) than other methods, such as expert judgment, or even other mathematical models.


Q: How has Archimedes been validated?

A: The core equations of the model - those that describe the progression of diseases and how they respond to treatments - are validated by simulating actual clinical trials. This is a very deep validation that tests the entire chain of events from the fundamental biology and pathology of the disease; to the development of symptoms, patient behavior in seeking care, performance of tests, and delivery of treatments; to the changes in biological and health outcomes.

 

 

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