Eleos Health Features

Ensures that your staff and existing systems support your business needs, requirements, and patients

Protects patient data and facilitates the creation and tiering of user credentials when accessing data

Helps mental health practices adhere to relevant codes and industry regulations

Ensures that mental health practice operations adhere to and meet HIPAA regulations, to protect, audit, and secure sensitive data

Allows for the storage, access and viewing, and tracking of patient notes, charts, and assessments

Provides note templates that align with mental health specialty practices

Facilitates communication and data share between outside systems, specialties, laboratories, and practices

Centralizes the storage of and maintenance of documentation and forms including: assessments, evaluations, treatment plans, progress notes, and clinical documentation

Process collected data to pull out relevant insights

Accurately capture and store health care data

Consolidates data from various sources including Electronic Health Records (EHR), billing systems, and patient management systems into a unified platform.

Ensures compatibility with various healthcare systems and standards like HL7, FHIR, and DICOM, facilitating seamless data exchange.

Implements data security mechanisms and compliance with regulations like HIPAA to safeguard patient data.

Provides dictation capabilities

Supports uploading recorded voice data into the solution

Leverages speech recognition, deep learning, machine learning, artificial intelligence, or NLP technology

Facilitates the editing of text and navigation between documentation sections during the process of transcription

Requires user to review generated transcripts before final submission or streamlines data sharing with transcription service

Imports final transcript into patient's electronic file

Provides spell checking and other editing tools

Provides graphical representations of data through charts, graphs, and dashboards to facilitate easier interpretation and decision-making.

Enables the analysis and monitoring of healthcare data as it is generated, allowing timely interventions.

Utilizes NLP to extract meaningful information from unstructured text data, such as clinical notes and patient records.