InterSystems IRIS for Health Features

Generates dashboards full of key metrics, patient data analytics, and/or data visualizations of data trends

Parses through and analyzes financial healthcare data pulled through a variety of repositories

Parses through and analyzes clinical healthcare data pulled through a variety of repositories

Maintain a health care-specific data warehouse that organizes all clinical, operational, financial, and patient data

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.

Connects with wearable health devices to capture real-time patient data like heart rate, activity levels, and sleep patterns.

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 a user-friendly interface to construct custom queries for in-depth data analysis without needing advanced technical skills.

Allows for the exchange, collection, and consolidated storage of health data across multiple clinical systems

Supports the migration to and ongoing adherance to health care-specific standards like HIPAA (Health Insurance Portability and Accountability Act) and ICD (International Classification of Diseases), and data formats like HL7 (Health Level Seven), NCPDP (National Countil for Presription Drug Programs), and EDI (Electronic Data Interchange)

Provides the capability to set up and/or restrict user access to stored health data

Monitors and manages payer contract performance, quality, and costs

Supports population health management initiatives and analysis requirements

Adheres to healthcare regulations, requirements, and programs

Facilitates effective IT integration between existing health care solutions and new to-be-incorporated applications

Ensures the communication and connection between multiple, disparate health care solutions to further their effectiveness

Supplies an implementation or optimization service team to streamline the adoption of the integration engine

Analyzes and presents the status of each integration and allocated resource to staff

Supports clinical operations and streamlines clinical workflows

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

Evaluates treatment costs, resource utilization, and financial performance to optimize healthcare expenditures.

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

Employs statistical algorithms and machine learning techniques to predict future outcomes based on historical data.

Calculates risk scores for patients based on their health data, helping providers identify those who may need urgent care or preventive measures.

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

Capability to perform complex tasks without constant human input

Engages in human-like conversation for task delegation