このページは自動翻訳されたものであり、翻訳の正確性は保証されていません。を参照してください。 英語版 ソーステキスト用。

Improving the Quality of Patient Care by Using a Clinical Expert System. (CLEOS)

2015年11月15日 更新者:Dominik M. Alscher, MD、Robert Bosch Gesellschaft für Medizinische Forschung mbH

Quality Assessment for History Taking With or Without an Knowledge Based Interview System.

Aim:

To investigate the quality of history taking by physician and computer-based system.

Patients:

100 inpatients presenting at the RBK for the first time and treated in the departments of nephrology and cardiology.

Methods:

The information obtained by the computer based system is compared with the information acquired by conventional history taking. Study endpoint is the comparison of historical data organized according to the elements in a standard medical history on a patient-by-patient basis.

Study procedure History taking is performed by physicians according to the guidelines of the RBK. Within 2 days thereafter the patient is interviewed with help of the CLEOS system with the support of a study nurse.

調査の概要

詳細な説明

Aim:

To compare the completeness of history taking by physicians and by a computerized system interacting directly with the patients. Historical data recorded in the patient record, including the discharge letter, were compared with the history acquired by computer-based interview of each patient.

Patients:

100 inpatients presenting at the RBK for the first time and treated in the departments of nephrology and cardiology.

Methods:

The information obtained by the computer based system is compared with the information acquired by conventional history taking. Study endpoint is the comparison of historical data organized according to the elements in a standard medical history on a patient-by-patient basis.

Study procedure After informed consent of the patients the procedure of history taking is performed by the physician according to the guidelines of the RBK. Within 2 days thereafter the patient is interviewed with help of the CLEOS system [a computer-based, history-taking program] with the support of a study nurse. The physician will be informed about the results immediately after completion of the questionnaire.

Data of medical significance were extracted from the official hospital chart and the computerized history by clinically experienced physicians and tabulated on a patient-by-patient basis. data elements were compared across each category of the history for each patient interviewed. The relevance of the differences of the information obtained by the two systems was rated by an independent reviewer.

研究の種類

介入

入学 (実際)

98

段階

  • 適用できない

連絡先と場所

このセクションには、調査を実施する担当者の連絡先の詳細と、この調査が実施されている場所に関する情報が記載されています。

研究場所

      • Stuttgart、ドイツ、70376
        • Robert-Bosch-Hospital

参加基準

研究者は、適格基準と呼ばれる特定の説明に適合する人を探します。これらの基準のいくつかの例は、人の一般的な健康状態または以前の治療です。

適格基準

就学可能な年齢

18年歳以上 (大人、高齢者)

健康ボランティアの受け入れ

いいえ

受講資格のある性別

全て

説明

Inclusion Criteria:

  • All inpatients in a hospital environment

Exclusion Criteria:

  • Inability to give an informed consent

研究計画

このセクションでは、研究がどのように設計され、研究が何を測定しているかなど、研究計画の詳細を提供します。

研究はどのように設計されていますか?

デザインの詳細

  • 主な目的:ヘルスサービス研究
  • 割り当て:なし
  • 介入モデル:単一グループの割り当て
  • マスキング:なし(オープンラベル)

武器と介入

参加者グループ / アーム
介入・治療
他の:Inpatients of hospital

All patients who were admitted to the departments of nephrology or cardiology in a tertiary hospital in Germany.

The intervention was use of an expert system to acquire medical histories by direct interview of patients.

Description of the software program - The program tested in this study consisted of a data acquisition [history-taking] component and a data analysis component. The data acquisition component was constructed on the basis of established principles of pathophysiology. Medical knowledge was formalized as software algorithms that were machine-readable by representing the knowledge as branched chain decision trees.

Methods The intervention was use of an expert system to acquire medical histories by direct interview of patients.

Description of the software program - The program tested in this study consisted of a data acquisition [history-taking] component and a data analysis component. The data acquisition component was constructed on the basis of established principles of pathophysiology. Medical knowledge was formalized as software algorithms that were machine-readable by representing the knowledge as branched chain decision trees.

他の名前:
  • CLEOS
Convential history taking by physicians
他の名前:
  • Traditional history taking

この研究は何を測定していますか?

主要な結果の測定

結果測定
メジャーの説明
時間枠
Detection of Medical Problems (by Number of Problems Reported by Computer Assisted History, That Were Not Reported by Physician Taken History)
時間枠:participants were followed for the duration of hospital stay, an average of 8 days
Data were extracted from hospital charts by to experienced physicians.; data from the computer histories were extracted by a senior physician, who tabulated comparisons between the 2 sets of records. We used the number of problems reported by Computer Assisted History that were not reported by Physician. Nurses at Robert Bosch Krankenhaus do not take medical histories in regard to allergies or adverse drug reactions. Pharmacists make no entries into charts and have no separate records of drug allergies or history of adverse drug reactions. Data on these issues either are obtained only by physician interview of the patient.
participants were followed for the duration of hospital stay, an average of 8 days

協力者と研究者

ここでは、この調査に関係する人々や組織を見つけることができます。

捜査官

  • 主任研究者:Dominik M Alscher, MD、Robert Bosch Gesellschaft für medizinische Forschung mbH

研究記録日

これらの日付は、ClinicalTrials.gov への研究記録と要約結果の提出の進捗状況を追跡します。研究記録と報告された結果は、国立医学図書館 (NLM) によって審査され、公開 Web サイトに掲載される前に、特定の品質管理基準を満たしていることが確認されます。

主要日程の研究

研究開始

2005年8月1日

一次修了 (実際)

2008年12月1日

研究の完了 (実際)

2008年12月1日

試験登録日

最初に提出

2007年1月31日

QC基準を満たした最初の提出物

2007年1月31日

最初の投稿 (見積もり)

2007年2月2日

学習記録の更新

投稿された最後の更新 (見積もり)

2015年12月18日

QC基準を満たした最後の更新が送信されました

2015年11月15日

最終確認日

2015年11月1日

詳しくは

この情報は、Web サイト clinicaltrials.gov から変更なしで直接取得したものです。研究の詳細を変更、削除、または更新するリクエストがある場合は、register@clinicaltrials.gov。 までご連絡ください。 clinicaltrials.gov に変更が加えられるとすぐに、ウェブサイトでも自動的に更新されます。

購読する