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

2015년 11월 15일 업데이트: 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.

연구 개요

상세 설명

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.

연구 유형

중재적

등록 (실제)

98

단계

  • 해당 없음

연락처 및 위치

이 섹션에서는 연구를 수행하는 사람들의 연락처 정보와 이 연구가 수행되는 장소에 대한 정보를 제공합니다.

연구 장소

      • Stuttgart, 독일, 70376
        • Robert-Bosch-Hospital

참여기준

연구원은 적격성 기준이라는 특정 설명에 맞는 사람을 찾습니다. 이러한 기준의 몇 가지 예는 개인의 일반적인 건강 상태 또는 이전 치료입니다.

자격 기준

공부할 수 있는 나이

18년 이상 (성인, 고령자)

건강한 자원 봉사자를 받아들입니다

아니

연구 대상 성별

모두

설명

Inclusion Criteria:

  • All inpatients in a hospital environment

Exclusion Criteria:

  • Inability to give an informed consent

공부 계획

이 섹션에서는 연구 설계 방법과 연구가 측정하는 내용을 포함하여 연구 계획에 대한 세부 정보를 제공합니다.

연구는 어떻게 설계됩니까?

디자인 세부사항

  • 주 목적: 건강 서비스 연구
  • 할당: 해당 없음
  • 중재 모델: 단일 그룹 할당
  • 마스킹: 없음(오픈 라벨)

무기와 개입

참가자 그룹 / 팔
개입 / 치료
다른: 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.

다른 이름들:
  • CLEOS
Convential history taking by physicians
다른 이름들:
  • Traditional history taking

연구는 무엇을 측정합니까?

주요 결과 측정

결과 측정
측정값 설명
기간
Detection of Medical Problems (by Number of Problems Reported by Computer Assisted History, That Were Not Reported by Physician Taken History)
기간: 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

공동 작업자 및 조사자

여기에서 이 연구와 관련된 사람과 조직을 찾을 수 있습니다.

수사관

  • 수석 연구원: Dominik M Alscher, MD, Robert Bosch Gesellschaft für medizinische Forschung mbH

연구 기록 날짜

이 날짜는 ClinicalTrials.gov에 대한 연구 기록 및 요약 결과 제출의 진행 상황을 추적합니다. 연구 기록 및 보고된 결과는 공개 웹사이트에 게시되기 전에 특정 품질 관리 기준을 충족하는지 확인하기 위해 국립 의학 도서관(NLM)에서 검토합니다.

연구 주요 날짜

연구 시작

2005년 8월 1일

기본 완료 (실제)

2008년 12월 1일

연구 완료 (실제)

2008년 12월 1일

연구 등록 날짜

최초 제출

2007년 1월 31일

QC 기준을 충족하는 최초 제출

2007년 1월 31일

처음 게시됨 (추정)

2007년 2월 2일

연구 기록 업데이트

마지막 업데이트 게시됨 (추정)

2015년 12월 18일

QC 기준을 충족하는 마지막 업데이트 제출

2015년 11월 15일

마지막으로 확인됨

2015년 11월 1일

추가 정보

이 정보는 변경 없이 clinicaltrials.gov 웹사이트에서 직접 가져온 것입니다. 귀하의 연구 세부 정보를 변경, 제거 또는 업데이트하도록 요청하는 경우 register@clinicaltrials.gov. 문의하십시오. 변경 사항이 clinicaltrials.gov에 구현되는 즉시 저희 웹사이트에도 자동으로 업데이트됩니다. .

구독하다