Feasibility of using algorithm-based clinical decision support for symptom assessment and management in lung cancer

Journal of Pain and Symptom Management

Volumn 49, Issue 1, 2015, Pages 13-26

  Cooley, Mary E ^a   Blonquist, Traci M ^a   Catalano, Paul J ^a   Lobach, David F ^d   Halpenny, Barbara ^a   McCorkle, Ruth ^e   Johns, Ellis B ^f   Braun, Ilana M ^a   Rabin, Michael S ^a   Mataoui, Fatma Zohra ^b   Finn, Kathleen ^c   Berry, Donna L ^a   Abrahm, Janet L ^a  

^a DANA FARBER CANCER INSTITUTE   (United States)

^b UNIVERSITY OF MASSACHUSETTS BOSTON   (United States)

^c BOSTON MEDICAL CENTER   (United States)

^d Religent Health   (United States)

^e YALE UNIVERSITY   (United States)

^f VIRGINIA COMMONWEALTH UNIVERSITY   (United States)

Author keywords

clinical decision support; clinical practice guidelines; lung cancer; Palliative care; symptom management

Indexed keywords

ADULT; AGED; ALGORITHM; ARTICLE; CLINICAL DECISION MAKING; DEPRESSION; DYSPNEA; FATIGUE; FEASIBILITY STUDY; FEMALE; HUMAN; LUNG CANCER; MAJOR CLINICAL STUDY; MALE; MEDICAL RECORD REVIEW; MULTICENTER STUDY; PAIN; PRACTICE GUIDELINE; SYMPTOM ASSESSMENT; CLINICAL DECISION SUPPORT SYSTEM; CLINICAL PRACTICE; CLINICAL TRIAL; EVALUATION STUDY; EVIDENCE BASED MEDICINE; INTERNET; LUNG NEOPLASMS; MIDDLE AGED; PALLIATIVE THERAPY; PROCEDURES; PSYCHOLOGY; QUALITY OF LIFE; VERY ELDERLY;

ADULT; AGED; AGED, 80 AND OVER; ALGORITHMS; DECISION SUPPORT SYSTEMS, CLINICAL; EVIDENCE-BASED MEDICINE; FEASIBILITY STUDIES; FEMALE; HUMANS; INTERNET; LUNG NEOPLASMS; MALE; MIDDLE AGED; PALLIATIVE CARE; PRACTICE PATTERNS, PHYSICIANS'; QUALITY OF LIFE; SYMPTOM ASSESSMENT;

EID: 84919876663     PISSN: 08853924     EISSN: 18736513     Source Type: Journal    
DOI: 10.1016/j.jpainsymman.2014.05.003     Document Type: Article

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