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:

Problem-based learning using patient -simulated videos showing daily life for a comprehensive clinical approach We examined whether problem-based learning tutorials using patient -simulated videos showing daily life are more practical for clinical learning, compared with traditional paper-based problem-based learning, for the consideration rate of psychosocial issues and the recall rate for experienced learning. Twenty-two groups with 120 fifth- year students were each assigned paper-based problem-based learning and video -based problem-based learning using patient -simulated videos. We compared target achievement rates in questionnaires using the Wilcoxon signed-rank test and discussion contents diversity using the Mann-Whitney U test. A follow-up survey used a chi-square test to measure students ' recall of cases in three categories: video, paper, and non-experienced. Video -based problem-based learning displayed significantly higher achievement rates for imagining authentic patients (p=0.001), incorporating a comprehensive approach including psychosocial aspects (p<0.001), and satisfaction with sessions (p=0.001). No significant differences existed in the discussion contents diversity regarding the International Classification of Primary Care Second Edition codes and chapter types or in the rate of psychological codes. In a follow-up survey comparing video and paper groups to non-experienced groups, the rates were higher for video (χ(2)=24.319, p<0.001) and paper (χ(2)=11.134, p=0.001). Although the video rate tended to be higher than the paper rate, no significant difference was found between the two. Patient -simulated videos showing daily life facilitate imagining true patients and support a comprehensive approach that fosters better memory. The clinical patient -simulated video method is more practical and clinical problem-based tutorials can be implemented if we create patient -simulated videos for each symptom as teaching materials.
{"AnatomicalStructure": [], "Bacterium": [], "BiologicFunction": ["learning", "memory", "experienced learning"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": [], "ClinicalAttribute": [], "Eukaryote": [], "Finding": ["achievement rates", "symptom", "rate of psychological codes", "rate of psychosocial issues", "recall rate"], "Food": [], "HealthCareActivity": [], "InjuryOrPoisoning": [], "IntellectualProduct": ["patient -simulated videos", "categories", "Patient -simulated videos", "tutorials", "questionnaires", "problem-based tutorials", "Video", "survey", "chi-square test", "patient -simulated video", "video", "Wilcoxon signed-rank test"], "MedicalDevice": [], "Organization": [], "PopulationGroup": ["students"], "ProfessionalOrOccupationalGroup": [], "ResearchActivity": ["follow-up"], "SpatialConcept": [], "Virus": []}