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: ["Outcome", "Participant", "Intervention"].

Please return the output as a JSON object of the format: {"Participant" : ["patients with COPD", ...], "Intervention" : ["Atenolol", ...], "Outcome" : ["blood pressure", ...]}. 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:

A pilot study of the Tele-Airway Management System in a hospital emergency department . We developed a telemedicine system for remote guidance of emergency airway management called the Tele-Airway Management System ( TAMS ) . In a pilot study we examined the usefulness of the TAMS for intubations of actual patients in a hospital emergency department . Twenty-five patients were allocated randomly either to a TAMS group or to an on-scene directed ( OSD ) group . A total of 12 were intubated using the TAMS . The mean time to intubation ( TAMS 62 s vs. OSD 56 s ) and the success rate was not different between the two groups ( P > 0.05 ) . There were two oesophageal intubations in the TAMS group and four in the OSD group , but this was not significantly different ( P = 0.36 ) . There were no mechanical or technical errors such as disconnection during use of the TAMS . The pilot study demonstrated the feasibility of the TAMS as an alternative to OSD . However , a larger study will be required to determine non-superiority or equivalence .
{"Intervention": ["on-scene directed ( OSD ) group", "TAMS", "TAMS group", "OSD", "Tele-Airway Management System"], "Outcome": ["feasibility", "mechanical or technical errors such as disconnection", "mean time to intubation", "oesophageal intubations", "success rate"], "Participant": ["Twenty-five", "12"]}