

# AWS HealthScribe Transcript file
<a name="health-scribe-transcript"></a>

In the transcript file, in addition to standard turn-by-turn transcription output with word level timestamps, AWS HealthScribe provides you with:
+ **Participant role detection** so you can distinguish the patients from the clinicians in the conversation transcript.
+ **Transcript sectioning**, which categorizes transcript dialogues based on their clinical relevance like small talk, subjective, objective, etc. This can be used to show specific portions of the transcript.
+ **Clinical entities**, which includes structured information like medications, medical conditions, and treatments mentioned in the conversation.

In addition, the following insights are provided for each conversation turn:
+ **Participant role** — Each participant is labeled as either a clinician or a patient. If a conversation has more than one participant in each category, each participant is assigned a number. For example, `CLINICIAN_0`, `CLINICIAN_1` and `PATIENT_0`, `PATIENT_1`.
+ **Section** — Each dialogue turn is assigned to one of four possible sections based on the content identified.
  + **Subjective** — Information provided by the patient about their health concerns.
  + **Objective** — Information observed by the clinician through physical exam, lab, imaging, or diagnostic tests.
  + **Assessment and Plan** — Information that relates to the doctor's assessment and treatment plan.
  + **Visit Flow Management** — Information related to small talk or transitions.
+ **Insights** — Extract clinically relevant entities (`ClinicalEntity`) present in the conversation. AWS HealthScribe detects all clinical entities supported by [Amazon Comprehend Medical](https://aws.amazon.com//comprehend/medical).

For an example of a transcript from a transcription job, see the transcript output in [Transcription job output examples](starting-health-scribe-job.md#health-scribe-output-example). For an example of a transcript from streaming, see the transcript output in [Streaming transcription output examples](health-scribe-streaming-setting-up.md#health-scribe-streaming-output-example). 