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:

The nurse-patient communication: voices from nursing students Effective communication skills have been found to be one of the pivotal factors in building positive interpersonal relationships. Little is known about nursing undergraduates ' perspectives on communicating with patients. This study aimed to explore nursing students' perspectives and experiences of nurse-patient communication in their clinical placement. The participants included 21 second-year undergraduates and 21 first-year master's students. Interviews were conducted in Cantonese and then transcribed in Chinese and translated into English. A content analysis approach was adopted to analyze the data. Five themes emerged from the interview data. 'The necessity of nurse-patient communication ' reveals why the students valued nurse-patient communication. 'The conversation contents ' describes the content of the conversations that students typically had with patients. The third theme is ' self-reflection on the nurse-patient communication '. The last two themes, 'the communication pattern in different hospital settings ' and 'the obstacles impeding nurse-patient communication ', are about the students' communication styles in different hospitals and the barriers they encounter. To improve students' communication skills, educators and clinical staff should listen to students, enhance students' reflective skills and strengthen their confidence. Through understanding students' difficulties in the nurse-patient communication experience and the skills that they lack, educators can provide them with helpful recommendations to improve their communication skills in clinical practice. The results of this study reveal that students' nurse-patient communication skills need to be improved.
{"AnatomicalStructure": [], "Bacterium": [], "BiologicFunction": ["experience", "confidence", "understanding", "experiences"], "BiomedicalOccupationOrDiscipline": [], "BodySubstance": [], "BodySystem": [], "Chemical": [], "ClinicalAttribute": [], "Eukaryote": [], "Finding": ["improve", "improved", "content of the conversations", "conversation contents", "self-reflection"], "Food": [], "HealthCareActivity": [], "InjuryOrPoisoning": [], "IntellectualProduct": [], "MedicalDevice": [], "Organization": ["hospital settings", "hospitals"], "PopulationGroup": ["first-year master\u0027s students", "participants", "second-year undergraduates", "students", "students\u0027"], "ProfessionalOrOccupationalGroup": ["nursing students", "nursing undergraduates", "nursing students\u0027", "clinical staff", "educators"], "ResearchActivity": ["study"], "SpatialConcept": ["approach"], "Virus": []}