Tailoring Data Transformations for Essential Insights
Explore, develop, and expand cloud-based analytics.
All: ▲ 33.3%
80%
Average
+ $2,473.65
Performance
Quarter 🔻
Expenses
$123,456
Income
$654,321
Profit
+ $530,865
Cloud-Agnostic Architecture:
Features and benefits
The all-in-one solution for data management solution
HDI Empowers Desired Outcomes Through Cloud-Based Analytics.
Population Management
Population Management is a systematic approach to improving the health outcomes of a defined group of individuals, often within a specific geographic area or patient population. It involves analyzing data to identify health trends, risk factors, and disparities within the population, and then implementing strategies to address these issues.
Predictive Analytics
Healthcare Predictive Analytics involves using advanced statistical algorithms and machine learning techniques to analyze large volumes of healthcare data, such as electronic health records, medical claims, and patient demographics, to forecast future outcomes, trends, and events.
Cloud-Based Healthcare Solution
This solution offers flexibility, scalability, and accessibility, allowing healthcare organizations to access and manage patient data, streamline clinical workflows, and improve patient care from any internet-connected device.
Enhanced efficiency
ERM Integration, also known as Electronic Records Management Integration, involves linking electronic records management systems with other software applications and platforms within an organization’s digital environment.
Discover, develop and automated the smarter way
Collaborating with HDI guarantees your competitive edge in today’s knowledge-driven economy.
100m
Annual profit
300 +
5 star review
33b
Average increase
10k
Happy customers
Industry Focus
Healthcare
Having collaborated with major healthcare enterprises in the United States, our team brings 20 years of extensive experience and a profound understanding of the healthcare industry. Our expertise spans various types of data crucial for enhancing healthcare outcomes and lowering costs.
We cover all facets of healthcare data, including Claims, Membership, Provider, Diagnosis, Procedure, DRG, and other external reference data. Our team has hands-on experience with diverse claims processing systems such as Trizeto, Amisys, CMS Xcelys, EIPIC, Cerner, McKesson, and various customized solutions.
Advanced Analytics
Healthcare
We’ve created solutions that facilitate advanced analytics using top-notch visualizations, offering both leading and lagging indicators for diverse cost, qualitative, and risk management metrics. By harnessing the power of artificial intelligence and machine learning, we substantially enhance healthcare outcomes.
Our tailored visualizations deliver crucial insights into key performance indicators, enabling trend analysis and relative ranking essential for Medical Cost Reduction, Core Chronic Condition Management, Effective Tracking and Monitoring of Quality Metrics, and Overall Enhancement of Patient Outcomes.
Transforming Raw Data
Insights
In the contemporary landscape, certain organizations attempt to transition from raw data to crucial insights without undergoing a data refining process.
HDI offers a comprehensive turn-key cloud platform for data refining, transforming your Data Swamp into the promised Data Lake.
We specialize in converting raw data into vital insights, facilitating improvements in healthcare outcomes, cost reduction, and ensuring compliance.
The HDI Data Refining Platform ensures the delivery of high-quality data products tailored to diverse needs.
Real time analytics
Population Management
Core Chronic
EMR Integration
Master Data Management (MDM)
PMPM
QA Reporting
Rule Set
Real time analytics
Population Management
Core Chronic
EMR Integration
Master Data Management (MDM)
PMPM
QA Reporting
Rule Set
Real time analytics
Population Management
Core Chronic
EMR Integration
Master Data Management (MDM)
PMPM
QA Reporting
Rule Set
Easy to use platform
User collaboration
Medical Cost Utilization
Data Integration
BRMS
Predictive Analytics
Data Lake
Standardized Data Model
Self Service Reporting
Easy to use platform
User collaboration
Medical Cost Utilization
Data Integration
BRMS
Predictive Analytics
Data Lake
Standardized Data Model
Self Service Reporting
Easy to use platform
User collaboration
Medical Cost Utilization
Data Integration
BRMS
Predictive Analytics
Data Lake
Standardized Data Model
Self Service Reporting
FAQs
Frequently asked questions
What is Health Data Analytics?
Definition of health data analytics and its role in extracting insights from healthcare-related data.
Why is Health Data Analytics Important in Healthcare?
Understanding the significance of health data analytics for improving patient outcomes, reducing costs, and enhancing healthcare quality.
What Types of Data are Analyzed in Health Data Analytics?
Overview of the different types of healthcare data analyzed, including clinical data, claims data, patient records, and more.
What Challenges Exist in Health Data Analytics?
Exploration of challenges specific to health data analytics, including data interoperability, privacy concerns, and regulatory compliance.
What Trends are Emerging in Health Data Analytics?
Overview of current trends, such as the increasing use of wearables, telehealth, and real-time monitoring in health data analytics.
How Can Health Data Analytics Improve Public Health?
Utilized in tracking and managing public health issues, such as disease outbreaks and vaccination campaigns. Public Health can be used to build predictive models that forecast the spread of diseases, helping public health officials allocate resources and plan interventions.
What Impact Does Health Data Analytics Have on Cost Reduction?
Health data analytics can lead to cost savings through improved efficiency, reduced readmissions, and better resource allocation..
What is Per Member Per Month (PMPM)?
Per Member Per Month (PMPM) is a financial metric commonly used in the healthcare industry to calculate the average cost incurred by a health insurance plan or healthcare provider for each covered individual on a monthly basis. This metric is particularly relevant for managed care organizations, insurers, and healthcare providers involved in capitation arrangements.
What are some issues with PMPM?
PMPM calculations may not always accurately reflect the actual healthcare costs for a population. There is a risk of underestimating or overestimating costs, leading to financial challenges for healthcare providers or payers.
Accurate and timely data are crucial for calculating PMPM. Issues with data quality or delays in obtaining data can affect the reliability of PMPM calculations.
How we can help?
Specializing in data collection, cleansing, integration, enrichment, and packaging, we excel in providing advanced analytics. These insights are presented through customized world-class data visualizations tailored to meet your specific needs.
Essentially, think of us as a self-contained data warehouse solution, eliminating the need for you to own and manage the technical and human resources necessary to effectively leverage these complex and constantly evolving technologies.
Have another question? Talk to our team → 1(904)608-5744 or [email protected]
Empowering Healthcare Excellence Through Data Insights.
Choose Us for Your Healthcare Analytics Proof of Concept Journey!