You will be shown an abstract from a biomedical research paper. Given this abstract, your task is to extract all unique entities of the following types: ["HealthCareActivity", "InjuryOrPoisoning", "BodySubstance", "IntellectualProduct", "AnatomicalStructure", "SpatialConcept", "Chemical", "Bacterium", "MedicalDevice", "Organization", "BiomedicalOccupationOrDiscipline", "Finding", "BiologicFunction", "Virus", "ResearchActivity", "ClinicalAttribute", "PopulationGroup", "Eukaryote", "BodySystem", "Food", "ProfessionalOrOccupationalGroup"].

Please return the output as a JSON object of the format: {"Virus": ["HIV", ...], "Bacterium": ["MRSA", ...], "AnatomicalStructure": ["Lung", ...], "BodySystem": ["CNS", ...], "BodySubstance": ["Serum", ...], "Finding": ["Headache", ...], "InjuryOrPoisoning": ["Fracture", ...], "BiologicFunction": ["Death", ...], "HealthCareActivity": ["Biopsy", ...], "ResearchActivity": ["Clinical trial", ...], "MedicalDevice": ["Lenses", ...], "SpatialConcept": ["Camps", ...], "BiomedicalOccupationOrDiscipline": ["Forensic medicine", ...], "Organization": ["WHO", ...], "ProfessionalOrOccupationalGroup": ["Provider", ...], "PopulationGroup": ["Swimmers", ...], "Chemical": ["Gold", ...], "Food": ["Rice", ...], "IntellectualProduct": ["RPAM", ...], "ClinicalAttribute": ["Biomarker", ...], "Eukaryote": ["Dogs", ...]}. The keys should be entity types and values should be lists of extracted entities belonging to the corresponding type. If you cannot find entities belonging to a specific type, the value should be [].

Only output the JSON object and do not include any additional text.

Abstract:

Impact of an Educational Intervention to Improve Antibiotic Prescribing for Nurse Practitioners in a Pediatric Urgent Care Center Up to 21% of pediatric visits result in an antibiotic prescription, and a large portion of these are unnecessary. To determine if educational sessions would reduce inappropriate antibiotic use. Intervention study evaluating antibiotic prescribing following educational sessions for urinary tract infection, skin and soft tissue infection, pharyngitis, upper respiratory tract infection, acute otitis media, and acute bacterial sinusitis. A total of 26 out of 43 (60%) nurse practitioners in 4 urgent care centers were enrolled in the study. The rate of inappropriate antibiotic use among all conditions was 10% before and 8% after the intervention (p = .02). A decrease in inappropriate antibiotic prescribing was seen after the educational session (p < .01). The most common reasons for inappropriate antibiotic prescribing were too broad (41%), wrong dosage (22%), and not indicated (17%). Educational sessions led to improvement in overall inappropriate antibiotic use. Additional stewardship interventions are needed to further reduce unnecessary antibiotic use.
{"AnatomicalStructure": [], "Bacterium": [], "BiologicFunction": ["acute otitis media", "urinary tract infection", "upper respiratory tract infection", "acute bacterial sinusitis", "pharyngitis", "soft tissue infection", "skin"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": ["antibiotic", "Antibiotic"], "ClinicalAttribute": [], "Eukaryote": [], "Finding": ["Improve", "not indicated"], "Food": [], "HealthCareActivity": ["pediatric visits", "Prescribing", "Educational Intervention", "evaluating", "enrolled", "intervention", "interventions", "prescription", "prescribing"], "InjuryOrPoisoning": [], "IntellectualProduct": ["Intervention study"], "MedicalDevice": [], "Organization": ["Urgent Care Center", "urgent care centers"], "PopulationGroup": [], "ProfessionalOrOccupationalGroup": ["Nurse Practitioners", "nurse practitioners"], "ResearchActivity": ["study"], "SpatialConcept": [], "Virus": []}