How should we make the admission decision in community-acquired pneumonia?

Medical Clinics of North America

Volumn 85, Issue 6, 2001, Pages 1397-1411

  Aronsky, Dominik ^a   Dean, Nathan C ^b  

^a VANDERBILT UNIVERSITY MEDICAL CENTER   (United States)

^b LDS HOSPITAL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ANTIBIOTIC AGENT;

ALGORITHM; ANTIBIOTIC THERAPY; DISEASE SEVERITY; HOME CARE; HOSPITAL ADMISSION; HUMAN; MEDICAL DECISION MAKING; MORTALITY; PHYSICIAN ATTITUDE; PNEUMONIA; PRACTICE GUIDELINE; PREDICTION; PRIORITY JOURNAL; PROGNOSIS; RESOURCE ALLOCATION; REVIEW; SOCIAL PSYCHOLOGY; UNITED STATES;

EID: 0034779874     PISSN: 00257125     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0025-7125(05)70387-4     Document Type: Article

References (38)

1. Automatic identification of patients eligible for a pneumonia guideline
2. Pneumonia severity index: Comparing the clinical algorithm with the original statistical model using the electronic medical record
3. Assessing the quality of clinical data in a computer-based record for calculating the pneumonia severity index
4. Safely increasing the proportion of patients with community-acquired pneumonia treated as outpatients: An interventional trial
5. Community-acquired pneumonia
6. Community-acquired pneumonia in adults: Guidelines for management
7. Community-acquired pneumonia in adults in British hospitals in 1982-1983: A survey of aetiology, mortality, prognostic factors, and outcome
8. Contributions of a voice recognition system to computerized guidelines in the emergency department
9. Preferences for home vs hospital care among low-risk patients with community-acquired pneumonia
10. A prognostic rule for elderly patients admitted with community-acquired pneumonia
11. Implementation of admission decision support for community-acquired pneumonia
12. Comparative validation of prognostic rules for community-acquired pneumonia in an elderly population
13. Predicting death in patients hospitalised for community acquired pneumonia
14. Pneumoma in the elderly
15. Comparison of a disease-specific and a generic severity of illness measure for patients with community-acquired pneumonia
16. The hospital admission decision for patients with community-acquired pneumonia
17. A prediction rule to identify low-risk patients with community-acquired pneumonia
18. Automatic detection of acute bacterial pneumonia from chest x-ray reports
19. Validation of the pneumonia severity index: Importance of study-specific recalibration
20. Automating a severity score guideline for community-acquired pneumonia employing medical language processing of discharge summaries
21. Epidemiology of community-acquired respiratory tract infections in adults: Incidence, etiology, and impact
22. Validation for the American Thoracic Society guidelines for community acquired pneumonia in hospitalized patients
23. Change in physician knowledge and attitudes after implementation of a pneumonia practice guideline
24. Understanding physician adherence with a pneumonia practice guideline: Effects of patient, system, and physician factors
25. Unlocking clinical data from narrative reports: A study of natural language processing
26. Clinical prediction rules: A review and suggested modifications of methodological standards
27. The cost of treating patients with community-acquired pneumonia
28. Severity prediction rules in community acquired pneumonia: A validation study
29. A controlled trial of a critical pathway for treatment of community-acquired pneumonia
30. Patients hospitalized after initial outpatient treatment for community-acquired pneumonia
31. Community acquired pneumonia: Aetiology and usefulness of severity criteria on admission
32. Defining severe community-acquired pneumonia
33. Guidelines for the management of adults with community-acquired pneumonia: Diagnosis, assessment of severity, antimicrobial therapy, and prevention
34. The cost of treating community-acquired pneumonia
35. Emergency medicine clinical guidelines: We can make them, but will we use them?
36. Toward electronic medical records that improve care
37. Clinical prediction rules: Applications and methodological standards
38. Will payment based on diagnostic-related groups control hospital costs?