Definitive Healthcare Features

Capability to perform complex tasks without constant human input

Engages in human-like conversation for task delegation

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

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

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.

Ability to (re)structure data in a manner that allows insights to be created quickly and accurately.

Using formulas based on existing data elements, users can create and calculate new field values

Business users have the ability to filter data in a report based on predefined or automodeled parameters.

Tool automatically suggests data types, schemas and hierarchies.

Allows the user to combine data from multiple sources into a functioning dataset.

Ability to handle large, complex, and/or siloed datasets.

Can read of convert data formats of source data into the format required for the analytics platform without creating data quality issues.

Ability to connect the analytics platform with a wide range of connector options for common data sources, including popular enterprise applications.

Connects to enterprise data governance software, or provides integrated data governance features to avoid misuse of data

User interface for standard and self-service reports is intuitive and easy to use.

Offers a variety of graph and chart formats for visualzation of data.

Score cards visually track pre- and user-defined KPIs.

Provides business users an interface to easily design, refine and collaborate on their dashboards

Requires a minimal number of steps/clicks to explore data and insights for user enquiries.

Users can drill down and explore data to discover new insights.

Ability to search available data sources to find and discover data and insights.

Ability for users to share data and insights (reports, dashboards, etc.) they have built within the tool and outside the tool through other collaboration software or within popular enterprise appications.

Analyze current and historical trends to make predictions about future events.

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.

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