ヘルスケアその他の事例を見る»

ヘルスケア・サービスのデザインは無駄の排除の点から常に変更され改善されています。個々の患者および特別のサービスに関するデータとリンクされたモデルは、患者と介護者を管理し、彼らの遺伝学、身体システム生理学、心理学および社会ネットワークに基づき、個人にフィットした治療アプローチ策定に取り組み、保健専門家による臨床の決定を改善するために使用されています。


モデリングとシミュレーションは、検査と治療だけでなく健康増進やリスク予防においてもコスト有効性を評価する、ポリシィおよびプログラム・レベルで使用されます


重要なのは、特に健康格差および不公平な社会的要素の観点から、異なるプログラムの異なる結果を推測し理解することです。


福祉、ヘルスケアの価値および利用を改善するために、健康と社会制度を構築することは、プロセスとエージェントの相互作用イベントを含む全体と個別レベルの問題状況を抜粋し、フィードバックとネットワーク構造を理解する多数の方法を必要とします。


AnyLogicは、特別の国、地域、構成、サービスあるいはターゲット・グループのためのそれらの適応性を評価するために異なる仮想実験シナリオ中の影響をテストすることができ、シミュレーション・モデルで理論およびデータを組み合わせることができます。

AnyLogicのアドバンテージについてコメントをいただければ幸いです。
 
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レビュー&推薦の言葉

  • AnyLogic allows to describe processes and explain them to decision makers. Its advantages are the great flexibility in reproduction of problems and the possibility to use system dynamics, agent based and discrete event simulation in one model.

    Romeo Placido, Director Hospital Radiology,
    Azienda Sanitaria Provinciale di Messina
  • We have found AnyLogic to be powerful, robust, and suitable for a wide variety of modeling projects. The ability to model using any of the major paradigms (or a combination) allows us to tailor our models appropriately. The user interface is easy to understand for people of all levels of education and experience. AnyLogic's superb technical support has helped us to model very complex systems that we would not have been able to do otherwise.

    Mark Kazmierczak,
    Gryphon Scientific
  • The most flexible simulation modeling tool on the market - 1) through the Java platform and access to Java programming when needs for tailor-making the model appears 2) through the possibility to mix different modeling methods. Good libraries with predesigned objects and building blocks (with great flexibility in themselves), continuous improvements and enhancements in new versions, and a very good and customer-oriented support function, makes the big picture more or less complete in my view!

    Stefan Bengtsson,
    County of Stockholm
  • Multimethod modeling is the most important feature of AnyLogic. The biggest advantage for me was the capability for advanced healthcare modelling and simulation.

    Geoff McDonnell, Director,
    Adaptive Care Systems and Synergia
  • AnyLogic is sufficiently flexible to support systems and policy research, yet robust enough to produce stand-alone applications that can be used by others to support their professional work.

    Neil McEvoy,
    HealthEngineer
  • I see modeling and simulation capabilities, especially agent-based modeling techniques, as critical to helping identify breakthroughs with complex phenomena associated with health care delivery. Integrating diverse types of data with multi-method simulation can advance our understanding of biological phenomena in order to deliver higher quality health care. AnyLogic’s leadership in agent-based modeling, combined with its unique approach in a Java-based architecture, enables Health Services Consulting to navigate new territory and pursue cutting-edge projects now and in the future. I’m excited about the possibilities.

    Roger A. Edwards, ScD, Vice-President,
    Health Services Consulting Corporation
  • AnyLogic is proved to be a very useful tool as I can build simulations using different simulation methodologies and create intuitive and appealing interfaces for end-users. Most functionality is available as predefined objects but it is nice to have the flexibility to add your own structures if necessary. Their technical support team is very knowledgeable and responsive; their support has been outstanding in my experience.

    Principal Informatics Scientist,
    AstraZeneca Pharmaceuticals
  • We’ve been using AnyLogic probably for four years now. Most of my work time I was working with another academically based agent based modeling system. We were aware that AnyLogic existed, but only after a while did we think that maybe we should look at it instead of looking at the system we were using, and we found that it was easier for us to learn and to implement.

    Neil McEvoy, Director,
    Centre for Research in Healthcare Engineering
  • AnyLogic is flexible: I don't feel hemmed in with any approach, and version 7 is a huge leap forward in the multimethod capability. We usually make changes with our eyes wide open thanks to AnyLogic!

    Keith Stockman, Manager of Projects and Operations Research, General Medicine Program,
    Monash Health
  • We chose AnyLogic to tackle our large complex problem because of the multimethod models you can use, the mix of agent based, discrete event and system dynamics is a very useful combination. My favorite part of AnyLogic is all the dashboard features, the great charts and business intelligence you can get from the agents that are working in the model.

    Kyle Johnson, Global Business Services, Advanced Analytics and Optimization,
    IBM
  • I've used AnyLogic and a number of other simulation tools as part of hospital services design over many years. I prefer AnyLogic for its flexibility and multimodal capabilities and wholeheartedly recommend it.

    Keith Stockman,
    Monash Health
  • I have been using AnyLogic for a few years for models in the social and healthcare context. I like that you can start using it almost out of the box and get some results with straightforward presentations. I like the fact that I can mix and match simulation paradigms like ABM and System Dynamics... in my models keeps my opportunities open. Easy interface with Java classes or libraries makes the full system customizable. I can easily publish the models to a web site or for individual deployment. And last but not least, I can work in teams by using typical source control SVN...

    David Lovece,
    Northeastern University
  • I've been using AnyLogic for the last two years, and I think is the most complete and useful simulation software in the market. I’ve also had experience with other tools, and none of them are capable of integrating the multimethod modeling paradigm, and AnyLogic is. If you have a low background in programming, probably your learning curve can be hard at the beginning, however once you get some experience, you can simulate anything. Currently, we use AnyLogic as simulation tool for several projects, like logistics, or clinical activities, or patient/staff flow modeling. If you are looking for a complete solution, this can be a good choice.

    Alvaro Gil,
    Jewish General Hospital - Montreal

これらの会社は、AnyLogic を使用しています: ヘルスケア

ケーススタディ

  • ハイブリッド・シミュレーションによる医療サポート-脳卒中専門救急車(Mobile Stroke Units)
    脳卒中で高度障害が起きたときの治療とリハビリの高コストの負担は老齢人口の増加でますます増えています。血栓症の多くは脳卒中を発症し、発症から4.5時間以内に血栓溶解の治療が必要になりますが、現在の搬送や病院管理では対応しきれていないのが現状です。そこで、脳卒中専門救急車(Mobile Stroke Units)が改善案として提案されました。
  • 医療ルーチンデータのシミュレーション・モデリング
    医療の専門家による様々な意思決定には、プランニング、テストおよびアセスメントツールを必要とします。医療の複雑な構造、相互作用およびプロセスは、常に変化と革新を繰り返し、課題が絶えることはありません。社会保険オーストリア協会(AASI)と提携するDWHシミュレーションサービスおよびウィーン工科大学のPatrick Einzinger氏およびChristoph Urach氏は、クリティカルな将来の意思決定の目的で、医療データを解析する機会を得ました。
  • Simulation of Maternity Ward Operations
    This model simulates the maternity ward in a hospital currently under construction. The purpose of the model is to support discussions related to which resources, capacity, and work methods are required on the new ward. The project was carried out for Karolinska University Hospital in the Stockholm County, Sweden.
  • 入院患者治療キャパシティーの評価
    スウェーデンの首都ストックホルムは高度専門医療病院を新設する過程において、健康局は、様々な運用方法と戦略的課題において、投資に見合う病院運営が可能か疑問視しました。その答えを見つけるために、彼らはAnyLogicシミュレーション•モデリングを使用しました。
  • 透析患者トータルケアのニーズ
    スウェーデン 首都ストックホルムは、諸国、諸地域と同様、様々な患者グループへのヘルスケアの必要性があります。各グループは独特な特徴、特性および課題を合わせてサブ集団と見なします。今回ご紹介するシミュレーション・プロジェクトは、透析患者(医療施設の来院頻度が高いグループ)に着目しました。
  • Disaster Response Applications Using Agent-Based Modeling
    In an effort to find practical operational solutions for response to an unexpected crisis or natural disaster, Battelle, world’s largest, non-profit, independent R&D organization, needed to test the effectiveness of a 48 hour shelter-in-place order for an Improvised Nuclear Device scenario. The goal was to reduce radiation dosages received during an uncoordinated mass evacuation, by comparing immediate evacuation and shelter-in-place order.
  • Evaluating Healthcare Policies to Reduce Rates of Cesarean Delivery
    The challenge of reducing the cesarean delivery rate has been recognized by numerous researchers for years. For the first time, in research conducted for the Washington State, Alan Mills, FSA MAAA ND, a research actuary, and his colleagues reproduced this part of the United States healthcare system in a simulation model to allow the stakeholders, including health agencies, insurers, clinicians, and legislators, to test their assumptions on the model to find the right solutions.
  • Shaping Healthcare Policy Using Simulation
    An initiative by the Department of Mechanical and Industrial Engineering at the University of Toronto, the Centre for Research in Healthcare Engineering (CRHE), was in response to the immediate and compelling desire for efficiency and quality improvements in the Canadian healthcare system.
  • An Agent-Based Explanation for SPMI Living Situation Changes
    Over the past 60 years, the number of Severely and Persistently Mentally Ill (SPMI) patients in the US living in the community increased. Yet a growing minority of people with severe illness are worse off because they are homeless or incarcerated. In this case study, IBM Global Research and Otsuka Pharmaceuticals used an agent-based approach to model these remarkable swings.
  • 新薬の発売モデル
    米国大手製薬会社である1社は、新製品の発売戦略の開発 にBayserコンサルティング社を採用しました。 シミュレーション・モデリングは、会社、医師、患者間の相互作 用の再構築に応用しました。