Automated detection of radiology reports that document non-routine communication of critical or significant results

Journal of Digital Imaging

Volumn 23, Issue 6, 2010, Pages 647-657

  Lakhani, Paras ^a,b   Langlotz, Curtis P ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b HOSPITAL OF THE UNIVERSITY OF PENNSYLVANIA   (United States)

Author keywords

Critical results reporting; data mining; Joint Commission on Accreditation of Healthcare Organizations (JCAHO); natural language processing; online analytical processing (OLAP); quality assurance; quality control; radiology reporting

Indexed keywords

JOINT COMMISSION ON ACCREDITATION OF HEALTHCARE ORGANIZATIONS (JCAHO); NATURAL LANGUAGE PROCESSING; ON-LINE ANALYTICAL PROCESSING; RADIOLOGY REPORTING; RESULTS REPORTING;

ACCREDITATION; ALGORITHMS; CIVIL AVIATION; COMMUNICATION; COMPUTATIONAL LINGUISTICS; DATA MINING; DATABASE SYSTEMS; NATURAL LANGUAGE PROCESSING SYSTEMS; QUALITY ASSURANCE; RADIATION; RADIOLOGY;

QUALITY CONTROL;

ALGORITHM; ARTICLE; AUTOMATION; DECISION SUPPORT SYSTEM; DOCTOR PATIENT RELATION; HOSPITAL INFORMATION SYSTEM; HUMAN; INFORMATION DISSEMINATION; NEOPLASM; PRACTICE GUIDELINE; RADIOGRAPHY;

ALGORITHMS; AUTOMATION; DECISION MAKING, COMPUTER-ASSISTED; HUMANS; INFORMATION DISSEMINATION; NEOPLASMS; PHYSICIAN-PATIENT RELATIONS; PRACTICE GUIDELINES AS TOPIC; RADIOLOGY INFORMATION SYSTEMS;

EID: 78650597124     PISSN: 08971889     EISSN: 1618727X     Source Type: Journal    
DOI: 10.1007/s10278-009-9237-1     Document Type: Article

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