TRP Introduction

Modified on Wed, 21 Feb at 3:19 PM

TABLE OF CONTENTS

Introduction to TRP
TRP Key Concepts and Features
Advanced Concepts
- Sub-Dataset: Enhancing Data Management with Logical Data Partitions
- Metric Types: Simplified Data Aggregations

Introduction to TRP

Welcome to TRP, a no-code data analytics tool designed for non-analytics users keen on creating reports and analytics. TRP, which stands for "Telehealth Resource Program," empowers healthcare organizations with valuable insights, yet its analytics methodology is applicable across all industries.

The following are the key ideas that set TRP apart from other such tools:

TRP follows the 80-20 rule of solving common analytics problems using a small set of query patterns
TRP is context-aware, as in it understands health care context to offer out-of-the-box analytics
It is an end-to-end analytics solution, i.e. one software offers the full data pipeline from data ingestion and transformation to visualization

TRP is Context-aware

TRP adapts its behavior based on the specific operating context, gathering and analyzing information such as location, time, and other relevant factors to offer specialized analytics. It dynamically generates key metrics, like claims vs. appointments, and provides out-of-the-box analytics to address business operational questions, such as ROI on different procedures or patient wait times.

End-to-End Analytics

TRP handles the entire data process by cleansing and transforming the information. It employs this processed data to generate visualizations, enabling flexible data filtering and allowing users to create widgets and reports. These reports can be imported into various formats such as Excel, PDF, and PowerPoint.

In essence, TRP not only acquires and labels data but also excels in dashboard creation, providing extensive options for widget customization. This comprehensive approach ensures that TRP maximizes its utility for users.

The diagram above is a walkthrough of TRP’s flow

Some Use Cases of TRP

Data Monitoring and Analysis: TRP allows monitoring of patient outcomes remotely. Analyzing this data helps in understanding the effectiveness of telehealth interventions.

Service Utilization: Organizations can analyze the utilization of telehealth services to identify areas of improvement, optimize resource allocation, and ensure cost-effectiveness.

TRP Key Concepts and Features

Below are the key concepts to understand how TRP works.

1- Imports: Data Integration for a Holistic View

Imports are the entry point of data into TRP. TRP's "Imports" feature enables you to integrate diverse datasets from various sources, including CSV files and databases. TRP's Imports support a wide range of data sources, enabling you to consolidate your healthcare data within a single platform. From patient records and financial data to operational metrics and more.

With the power of Query Editor, you can clean, shape, and model your data. TRP's intelligent system assists you in preparing data for analysis, ensuring data quality and accuracy.

Imports can be located by navigating to “Administration” in TRP.

For example: In the demonstration below, simply select the imports option from the administration section

Start by naming your new import dataset and tag your context from the list of options available
Select from the range of import options available in TRP. CSV selected below
Select the Unique Identifiers in the dataset such as UserID and begin the import process by clicking on the “Start Import” button
The imported data will appear in the List of imports

For a further detailed tutorial on Imports click the link here.

2- Integrations: Connectivity of Data

TRP's "Integrations" feature allows healthcare professionals data exchange between TRP and external software products. One of the highlights of TRP's Integrations is its ability to create pre-built imports and dashboards directly from integrated platforms. TRP supports integration with

1- Zoom

2- Microsoft Teams

3- Vidyo

With just a few clicks, you can access data from MS Teams, Zoom, Vidyo, and more, turning raw information into actionable insights without the need for complex setup or configuration.TRP empowers you to drive real-time data analysis, informed decision-making, and enhanced collaboration within your healthcare ecosystem.

With a simple integration guide that comes with TRP, users can easily set up any available integration and get going with their data by creating visual dashboards and using built-in metrics.

For example: In the demonstration below, a click takes them directly to the integration setup of Zoom where users can enter their “secret token”, click “Test connection and Save” and data will start coming to TRP.

3- Datasets: Destination of your Data

A dataset is a collection of data from one or more data sources that have the same data fields or columns. The TRP dataset is the main component that houses the raw data, filters, metrics, and dashboards/visualizations.

TRP's Datasets adhere to robust data governance and provide secure and granular control, ensuring that sensitive healthcare information is protected and accessible only to authorized users. Please refer to the ‘Sub Datasets’ section in our Advanced Concepts part of the document.

For example: Each entity (context e.g. claims, appointments, etc.) in TRP will have its own single or multiple datasets. In each dataset, users can create dashboards, create filters, and access many other features.

In the demonstration below, you can see the zoom’s dataset

Once the import or integration is completed, TRP will display it in the entity home where the users get to see all their datasets
Clicking on entities home from the left navigation bar and then selecting the specific entity “Zoom” will redirect to the list of available datasets. (Click on the required dataset and create visual dashboards inside it against each dataset)

4- Data View: Interact with Raw Data for Insightful Exploration

In the pursuit of valuable insights, healthcare professionals often need a granular understanding of their data. TRP's "Data View" feature allows you to interact directly with raw data where you can browse, sort, and filter data easily. This level of granularity empowers you to identify outliers and validate data quality,

For Example: For demonstration, we select the dataset “MS Teams dataset” by navigating to the entity home and selecting the dataset

Apply the filter of “meeting type” and filter the data of total meeting types in the MS Teams data view to uncover new insights
Users can also navigate to this data view by clicking on “Go to Data” from the dashboard

5- Filters: Refine Data Selection for Precise Analysis

TRP's "Filters" feature empowers you to refine data selection with precision, enabling you to extract meaningful insights from your healthcare datasets effectively. With TRP's Filters, you can focus on the data that matters most to your analysis. Whether you want to isolate specific patient demographics, filter data within a specific date range, or segment information based on geographical regions, TRP empowers you to identify trends and patterns with clarity.

Standard and Advanced Filtering Options:

TRP offers both "Standard" and "Advanced" filtering options, catering to a wide range of data analysis needs. Standard filters provide straightforward data selection based on specific criteria, making it easy for users to get started. On the other hand, Advanced filters offer sophisticated data selection capabilities, allowing you to fine-tune your analysis using multiple criteria and logical operators.

For example: As demonstrated below, we filtered out the data of particular users

Clicking on the “Name” filter from the list of filters and choosing the name of the user whose data is to be filtered
Click on the “Apply” filter button
For more granular filtering, TRP also allows users to choose more than one filter at a time to create conditions. Such as a particular user’s appearance in a particular “Meeting type”

6- Metrics

TRP's "Metrics" feature allows you to harness the power of powerful aggregates and calculations tailored to the unique needs of the healthcare industry. TRP's Metrics encompass a wide range of measures, calculations, and aggregates. Whether it's the average duration of patient visits, total payments by insurance companies, or other healthcare-specific KPIs. In TRP, users can either define their metrics or use the built-in metrics.

By utilizing accurate and relevant calculations, you can identify trends, monitor performance, and track key indicators, leading to strategic decisions that drive positive outcomes in patient care and operational efficiencies.

For example: TRP allows users to either utilize existing metrics or create new ones.

Click on the Dataset and navigate to the “Metrics Library”, and click on “Create New Metric”
Give a title to the custom metric
Select the “Metric Type” from the dropdown
Define the metric’s format and the last step is to apply filters to tailor the metric

7- Dashboards and Widgets: Visualize and Monitor Healthcare Insights with Precision

TRP's "Dashboards" and "Widgets" feature empower you to create comprehensive and interactive visualizations. TRP's Dashboards enable you to create dynamic and visually appealing presentations of your data. By combining multiple visualizations, charts, and tables, you can construct a holistic view of your organization's performance, making it easy to interpret and share key insights with stakeholders.

TRP's Dashboards are composed of individual "Widgets," offering you the flexibility to customize visualizations according to your preferences. You can choose from various chart types, tables, and key performance indicators (KPIs) to create a tailor-made dashboard that best represents your data insights.

For example: To create a dashboard, navigate inside your data set.

Click on the “Create Dashboard” button
Enter the name of the Dashboard, select the dataset, and click the save button

Since widgets are what make the dashboards interactive, click to open the dashboard.

Click the Create widget button. Select the metric against which the widget is to be created

Note - If a single metric is selected, results are shown only in one specific widget type - Single Value Widget

View Over metric can be selected next and this allows to view the results in different widget types. Users may select the desired widget type
Apply any filters if needed. Click the Create button

TRP also offers ways to Re-style these widgets

8- Drill Down

TRP's "Drill Down" functionality takes data exploration to the next level, allowing you to dissect interactively. This feature is available in your dashboard against widgets with charts.

This feature enables you with interactive data slicing and dicing capabilities. You can break down visualizations and dashboards into granular components, zooming in on specific data subsets to gain a deeper understanding. By exploring data at different levels of detail, you can analyze and interpret data from various angles, enriching your insights.

With just a few clicks, you can navigate between dimensions like time, geography, demographics, or any other relevant attribute, bringing a rich context to your analysis. By utilizing this feature, you unlock hidden insights, identify root causes, and make data-driven decisions with confidence. Whether you're a seasoned data analyst or a healthcare professional seeking actionable information, TRP's Drill Down propels you on a transformative journey where data-driven discovery drives success in the dynamic world of healthcare services.

For example: Drilldowns are helpful when there’s data that needs comparison or segregation at a granular level

Create a widget such as the Total duration of calls over the Month
Once the widget is created, click on the drill-down button and change the type of visualization. Select the part where more granular data is needed such as the pie chart displays the total duration of calls in a month
To explore more, click on the data that needs to be more granular and select the creation of calls over specific months in the form of a column chart or a bar chart

Advanced Concepts

Sub-Dataset: Enhancing Data Management with Logical Data Partitions

Managing large and complex datasets can be challenging, especially when you need to apply different permissions or exclude specific data for analysis. TRP's "Sub-Dataset" feature comes to the rescue, providing you with the ability to logically partition your data, ensuring greater control, enhanced security, and improved data analysis.

Logical Data Partitioning

TRP's Sub-Dataset feature enables the logical partitioning of data into smaller, manageable subsets. This structured framework enhances efficient data organization and navigation. Each sub-dataset functions as a virtual container, grouping related data while maintaining independence from other partitions.

Granular Permissions Management:

One of the key benefits of Sub-Datasets is the ability to manage granular permissions effectively. By organizing data into separate logical partitions, you can assign access rights to specific sub-datasets based on user roles, departments, or other criteria. This fine-grained control ensures that sensitive information is accessible only to authorized personnel, safeguarding data privacy and compliance.

For example: In the demonstration below, we’ve created a simple sub-dataset for one of our teams to view data of a particular user when they join the call from a specific device to record users’ activity

Enter the dashboard name, and select the users and the groups to share the data with
Select the filters that will help sort the data for the selected group to interact with

Metric Types: Simplified Data Aggregations

In the realm of healthcare data analytics, TRP offers a straightforward approach to deriving insights from complex datasets. With its "Metric Types", TRP simplifies data aggregations, allowing users to perform approximately 80% of calculations. By understanding just 2 or 3 distinct types of data aggregations, healthcare professionals can confidently explore their data and gain valuable insights with ease.

Understanding Metric Types: A Simplified Approach to Data Analysis

In TRP, each Metric Type represents a specific calculation pattern, facilitating a more accessible approach to data analysis. For instance, the "x-y" pattern signifies the subtraction of data points, while "sum(a)" calculates the total of data in column 'a'. By offering these distinct and straightforward patterns, TRP streamlines the process of exploring and analyzing data, making it more approachable for all users.

Simplified Exploration and Analysis:

TRP's Metric Types are designed to enhance user-friendliness. These predefined patterns enable users to quickly grasp and apply calculations, eliminating the need for complex formula creation or intricate calculations. This simplicity empowers healthcare professionals to navigate through their data and derive insights.

Dependable Support for Metric Types:

In TRP, many users find it convenient to rely on our support to create these Metric Types. We ensure that the necessary Metric Types are readily available for use. These Metric Types are designed to align with the specific type of data being processed by TRP, ensuring a smooth and efficient data analysis experience.

Generic Yet Effective:

The beauty of Metric Types lies in their generic yet effective nature. They adapt to the data being fed into TRP, providing a versatile foundation for various data analysis scenarios. This adaptability ensures that users can focus on deriving insights from their data without getting caught up in complex calculations.

Guiding the Data Analytics Journey:

Metric Types play a pivotal role in guiding users through their data analytics journey within TRP. They set the stage for subsequent actions, dictating the types of functions users will perform and the filters they'll utilize. This structured approach helps users transition seamlessly from data exploration to actionable insights.