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Provider Payment Reform to Reduce Rates of Cesarean Delivery


Provider Payment Reform to Reduce Rates of Cesarean Delivery

“Cesarean delivery” is a method of childbirth in which a surgeon cuts through the pregnant woman’s abdomen and uterus to deliver the baby. The more natural method of childbirth is called “vaginal delivery”, in which the baby leaves the mother’s uterus through her vaginal canal. Ideally, cesarean delivery would only be used when vaginal delivery would endanger the life or health of the child or mother, because cesarean delivery involves major abdominal surgery that is accompanied by much greater risks for both mother and child than vaginal delivery. Cesarean delivery also costs about 50 percent more. Over the last 40 years, the U.S. rate of cesarean delivery has increased dramatically.

Modeling Healthcare at Different Abstraction Levels


Modeling Healthcare at Different Abstraction Levels

There are many cases of simulation modeling in healthcare. Application areas can vary, from process optimization in hospitals to macrolevel agent-based epidemiology models. Due to its multimethod nature, AnyLogic allows models to be built at various abstraction levels. A good illustration of how researchers and consultants can apply the same tool to different problems is the three models built by the Stockholm County Health Administration in Sweden. The models included macro, meso, and micro abstraction level applications in healthcare simulation. The microlevel model simulated the maternity ward in a hospital that was currently under construction. The purpose of the model was to support discussions related to which resources, capacity, and work methods were required in the new ward. One relevant discussion was whether to keep mother and child in the same room during their entire stay or to have dedicated rooms for antenatal care, delivery, and postnatal care.

Shaping Healthcare Policy Using Simulation


Shaping Healthcare Policy Using Simulation

An initiative of the Department of Mechanical and Industrial Engineering at the University of Toronto, the Centre for Research in Healthcare Engineering (CRHE) is a response to the immediate and compelling desire for efficiency and quality improvements in the Canadian health care system. CRHE is committed to both research and education in the field of healthcare delivery. From an academic perspective, their work falls into two categories: research and service. A study completed by the Commenwealth Fund Commision (http://www.commonwealthfund.org/) ranked Canada very low in the categories of quality of health care, access to health care, efficiency, equity and expenditures. This study among others, prompted the CRHE to dedicate a research project that would test potential changes in Canadian healthcare policy that could increase the quality of patient care.

Find Optimal Product Sampling Using Agent-Based Modeling


Find Optimal Product Sampling Using Agent-Based Modeling

Before launching a new drug, a pharmaceutical company should decide the optimal promotional mix for both patient and doctors, and the optimal sampling level, high enough to induce therapy without cannibalizing paid prescriptions. Using AnyLogic Simulation Modeling, JP Tsang, Ph.D. & MBA, addresses the complexities of launching a new drug in the pharmaceutical industry, the need for a Contract Sales Organization (CSO) and the influence of Key Opinion Leaders (KOL). The project zeroed in on the medical group practice in order to better understand the dynamics between physician and patient, and between physician and medical representatives. The Agent Based Model (ABM) allows you to understand local behavior, identify bottlenecks regarding certain output variables and better grasp the big picture.

Simulation Modeling Based on Routine Healthcare Data


Simulation Modeling Based on Routine Healthcare Data

Decisions made by health care professionals require tools for planning, testing and assessment of new technologies or interventions. The complex structures, interactions and processes involved in health care, make change and innovation an ongoing challenge. Patrick Einzinger and Christoph Urach from DWH Simulation Services and Vienna University of Technology in partnership with the Austrian Association of Social Insurances (AASI) were given an opportunity to analyze public data for the purpose of critical future decision making. The AASI assembled routine care data upon reimbursement of heath care providers, which includes drugs prescribed, services rendered and diagnosis. Typical statistics and mathematical modeling were considered as a tool to analyze the data, but simulation was chosen to ensure the mass amount of data could be fully utilized, thus increasing the accuracy of the analysis and results.

Healthcare Decision-Support by Hybrid Simulation – Mobile Stroke Units


Healthcare Decision-Support by Hybrid Simulation – Mobile Stroke Units

The University of Erlangen-Nuremburg Computer Networks and Communication Systems group specializes in the simulation of large-scaled complex systems such as healthcare, automotive, industry and energy. One of the latest projects concerned the possibility and location of Mobile Stroke Units (MSU’s) due to the increase of stroke victims in an aging population. A stroke is typically caused by Thrombosis and should be treated with thrombolysis. Stroke causes severe disability and produces high costs for care and rehab if not treated quickly.

AnyLogic North America Attends Agent-Based Modeling Bootcamp for Health Researchers


AnyLogic North America was to take part in Dr. Nate Osgood’s 3rd Annual Agent-Based Modeling Bootcamp for Health Researchers last week at the University of Saskatchewan in Saskatoon, SK, Canada. Dr. Osgood’s platform of choice is AnyLogic for many reasons, not least the graphical nature of the editor, the excellent support offered by The AnyLogic Company, and the software’s multimethod capabilities. The bootcamp was attended by roughly 25 people, most of them academicians, with a high proportion of them interested in epidemiology. However, according to Dr. Osgood, a large proportion of attendees indicated that multimethod modeling was an item of high interest to them, and he adjusted the course content accordingly.

Full Screencast Available: Healthcare Dynamic Modeling Workshop & Training


We have a new video available on our website. It is complete screencast of Healthcare Dynamic Modeling Workshop & Training that took place in Sydney this February. The instructors were Nathaniel Osgood (University of Saskatchewan), Geoff McDonnell (University of New South Wales, Australia), and Andrei Borshchev (CEO at the AnyLogic Company).

Healthcare Dynamic Modeling Workshop & Training in Sydney


Healthcare Dynamic Modeling Workshop & Training in Sydney

Dynamic Modeling Workshop & Training took place on 18-22 February 2013 at the University of New South Wales (UNSW) in Sydney. Healthcare was the main field of simulation modeling application discussed there. The workshop’s target audience was simulation modeling specialists, researchers, practitioners and policy makers who wanted to advance their knowledge in dynamic modeling methods and see some examples of their use. 42 people attended the event. You can find the materials here.