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Nursing Clinical Information System01:27

Nursing Clinical Information System

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Nursing Clinical Information System (NCIS)
A Nursing Clinical Information System (NCIS) is a specialized type of healthcare information system tailored to meet the unique needs of nursing practice. It incorporates the principles of nursing informatics to streamline information management and improve the quality of care delivery.
Critical attributes of NCIS include:
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Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

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Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
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Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

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The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
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Clinical Trials: Overview01:11

Clinical Trials: Overview

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Clinical development focuses on how the drug will interact with the human body and encompasses four key phases of clinical trials, each serving a specific purpose in assessing the safety and effectiveness of new drugs. These phases overlap and build upon one another. Phase I involves a small group of healthy volunteers (typically 20-80 individuals) or, in cases where significant toxicity is expected, patients with the targeted disease, such as cancer or AIDS. The volunteers are tested for...
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Clinical Trials01:16

Clinical Trials

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Clinical trials are prospective experimental studies conducted on humans to determine the safety and efficacy of treatments, drugs, diet methods, and medical devices. Using statistics in clinical trials enables researchers to derive reasonable and accurate conclusions from the collected data, allowing them to make wise decisions in uncertain situations. In medical research, statistical methods are crucial for preventing errors and bias.
There are four phases in a clinical trial. A phase one...
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Introspection01:29

Introspection

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Introspection, long upheld as a reliable route to self-knowledge, involves examining one's thoughts, emotions, and mental processes. It underpins many psychological practices, from mindfulness meditation to psychotherapy and self-help strategies. However, empirical evidence challenges the accuracy of introspection as a means of understanding oneself.Limitations of Introspective InsightSeminal work by Nisbett and Wilson demonstrated that individuals are frequently unaware of the true causes...
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スケールでの実践パターンを解き放つ:Epicのコスモスを使用して臨床的洞察を開発するためのフレームワーク

Kyle Bernard1, Arwen Declan2, Kevin Buell3

  • 1Emergency Medicine, Medical College of Wisconsin, Milwaukee, United States.

Applied clinical informatics
|February 18, 2026
PubMed
まとめ

私たちは,EpicのCosmosプラットフォームを使用して,遡及的な臨床研究のための適応可能なワークフローを開発しました. このアプローチにより,迅速で再現可能なコホート構築と分析が可能になり,患者のケアに関する改善された証拠が得られます.

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科学分野:

  • クリニカル・インフォマティックス
  • 健康データサイエンスの科学
  • リサーチ・レトロスペクティブ・リサーチ

背景:

  • ベンダーで集約された健康情報交換による現実世界のデータは,遡及的な臨床研究に価値があります.
  • EpicのCosmosプラットフォームは,大規模な研究のために,電子医療記録 (EHR) データへのアクセスを提供しています.

研究 の 目的:

  • コスモスプラットフォームを利用した遡及研究のための一般化可能な臨床情報工学のワークフローの繰り返し開発を記述する.
  • 二次データ分析のための共同研究プロセスを精錬する.

主な方法:

  • 計画・実行・研究・行動 (Plan-Do-Study-Act, PDSA) サイクルは,研究プロセスを繰り返し精錬するために適用されました.
  • 焦点を当てた分野には,研究環境,チーム構成,技術的準備,ワークフローの最適化が含まれていました.
  • コスモス内のSlicerDicerインターフェースはコホート探索と構築に使用されました.

主要な成果:

  • 共同研究を合理化するために改善すべき分野が複数特定されました.
  • 臨床と情報科学の領域にわたる研究チームを定義するための重要な洞察が得られました.
  • クエリ構築,コホート構築,データ分析,検証,コミュニケーションのための最適化されたプロセスが確立されました.

結論:

  • 開発された共同アプローチは,高品質の患者ケアのための臨床的エビデンスの作成をサポートします.
  • ワークフローは,迅速で再現可能なコホート構築と分析を容易にする.
  • この適応可能なモデルは,臨床領域にわたって適用され,多組織間の協力のためにスケールアップすることができます.