Harness healthcare data for competitive advantage with Infostretch & AWS

Fact Sheet

INFOSTRETCH HEALTHCARE DATA ANALYTICS PLATFORM (HDAP)

omnichannel e-commerce
DISPARATE, SILOED DATA SOURCES CREATE WIDESPREAD HEALTHCARE CHALLENGES

Healthcare organizations are under increasing pressure to reduce costs while improving patient care and outcomes.

Many are pursuing this through increased digitization and better utilization of data to enable more remote care, inform care decisions, and streamline operations. However, complex, siloed systems and a lack of data standardization are seriously hindering these efforts.

Payer Data

Patient Claims,
Pharmacy

Provider Data

EHR Systems
(EPIC, Cerner etc.)

Population Data

Public Sources

Other Sources

Situation-Specific

healthcare data and analytics platform
INFOSTRETCH HEALTHCARE DATA ANALYTICS PLATFORM (HDAP) ON AWS

The Infostretch Healthcare Data Analytics Platform (HDAP), built on AWS managed components, enables healthcare companies to move quickly to centralize, utilize and monetize their data. HDAP on AWS acts as a data accelerator — enabling users to harness healthcare data assets more effectively for diagnostic, exploratory, predictive and prescriptive needs.

With HDAP running on AWS, healthcare organizations get:

healthcare data analytics platform fact sheet

Ready access to raw data and the ability to process all standard healthcare data types (HL7, CCDA, DICOM, FHIR, labs, known EMRs)

healthcare data analytics tools fact sheet

Support for standard models such as OMOP for persistent healthcare data, enabling normalization and longitudinal data representation

healthcare data analytics software fact sheet

Data management practices that ensure security, reliability and data quality

data analytics in healthcare

Streamlined regulatory healthcare reporting, KPI calculations and the ability to leverage data for research

healthcare data vendor

A reference implementation built on AWS using platform components enabling Pay-As-You-Go services

healthcare it vendor

Analysis to prevent revenue loss due to inaccurate data and to identify opportunities for new patient services

healthcare data analytics platform on aws

Real-time processing and complex event handling to provide decision support for care givers

analytics and data science

Exploratory analytics and data science

automated operations

Support for highly automated operations with DevOps and SRE

Infostretch HDAP and AWS enable entities across the healthcare ecosystem to leverage all their data assets to deliver higher service levels, increase operational efficiency and achieve financial performance.
POWERED BY INFOSTRETCH HDAP

HEALTHCARE DATA ANALYTICS USES CASES

Infostretch HDAP on AWS can be used by different players in the healthcare ecosystem to address multiple data use cases to improve research, patient care and operational processes. Below are some of the many examples:

Research Operationalization
Research
Operationalization

HDAP can ingest data— both structured and unstructured—from multiple sources to crystallize, categorize and classify it for practical clinical use.

Clinical Data Mining
Clinical
Data Mining

HDAP can mine clinical notes in unstructured formats like free text and presents it in a consumable format for easy analysis and insights.

Evidence-Based Decision Support
Evidence-Based
Decision Support

HDAP can pull and categorize data such as patient diagnosis and treatment data from EHR systems to help identify patterns and assist in care decision support.

Data Integration / Collective Intelligence
Data Integration
/ Collective
Intelligence

HDAP can integrate different types of data for multiple uses and users; e.g., billing data for administrators; patient diagnostics and treatments for physicians; adverse conditions/reactions for nurses; data analysis for researchers.

Evidence-Based Decision Support
Patient Data
Aggregation

HDAP can use a master patient index (MPI) to aggregate an individual’s health information for clinical analysis, research, care coordination, and improved patient outcomes.

Healthcare Data Mapping
Healthcare
Data Mapping

HDAP can map and optimize core data that might use different labels in different environments to make it more consumable, searchable and actionable.

Healthcare Data Standardization
Healthcare Data
Standardization

HDAP can map and validate critical patient care codes to ensure accurate and complete information is available for accurate patient care, tracking and billing.

Patient Data Control
Patient Data
Control

HDAP can capture complete patient medication histories and make it easy to share with other providers and public health organizations to ensure safer and more effective care. This data can also be used for administering immunizations.

Prescription Management
Prescription
Management

HDAP helps providers optimize patient care as well as care costs and reimbursements by enabling the benchmarking of effective patient prescriptions and dosages.

Data Quality Management
Data Quality
Management

HDAP can provide a data tagging engine which can provide added context and checkpoints to existing data. This enables better data visibility, verification and application; e.g. prescription safety, clinical decisions, operational planning.

Research Data Classification
Research Data
Classification

HDAP can be used to standardize healthcare classification codes, procedure codes, labs results code, medication and drug codes, image- related codes and more to enable more intuitive care analysis and correlation. It also allows for comparative research with other countries.

Public Health Pattern Identification
Public Health
Pattern
Identification

HDAP’s comprehensive coding structure provides unified data which is accurate, tagged and quality controlled to facilitate improved public health reporting and tracking.

Performance Management
Performance
Management

HDAP can act as a complete healthcare data ecosystem to improve clinical, financial, and administrative performance. Administrators can track time and resources spent on procedures, allocate resources, increase billing and payment accuracy and reduce the risk of rejected claims for incorrect coding.

Process Improvement
Process
Improvement

HDAP can accommodate new procedures and techniques such as the expanded coding and granularity introduced by systems like ICD-10. It also helps reduce the hassle of audits and detects and prevents healthcare fraud and abuse.

Revenue Management
Revenue
Management

HDAP can capture, unify and ratify data such as codes, charges and invoices for clinical services, lab tests, and medications. This digitization increases reimbursements, decreases billing errors, optimizes patient care timing, and provides better documentation to resolve any potential financial disputes.

Patient Self-Care Engagement
Patient Self-Care
Engagement

HDAP can enhance patient self-care by offering important follow-up information, instructions, reminders and links to necessary resources. Information technology affects more and more of patients’ lifestyle today and many feel more comfortable accessing services digitally.

Care Communication & Coordination
Care Communication
& Coordination

HDAP enables clinicians to document services provided and access up-to-date information about their patient. It also streamlines the transition process and knowledge sharing between different care settings for improved communication and coordination.

Quantitative Data Analysis / Predictions
Quantitative Data
Analysis / Predictions

HDAP can use quantitative analysis of functional values to help clinicians identify patient abnormalities and predict phenotypes. Data from different EHRs can be integrated into a larger database and geo-location specific tracking is also possible.

Hospital Operations
Hospital
Operations

HDAP can monitor patient flow, bed occupancy, lengths of stay, readmissions, cost analysis vs. industry benchmarks, supply chain, and inventory for more informed decisions about population health, staffing and care.

Clinical Decision Support
Clinical Decision
Support

HDAP can help identify patients at risk of complications, recommend medications and dosage, and alert to early signs of infection, etc. based on patient data analysis.

INFOSTRETCH HDAP ON AWS

A CLOSER LOOK

hdap methodology
healthcare data analytics

Data Analytics &
Ingestion

  • Operational, financial and clinical analytics
  • Research support
  • Improved user experience with newer tools
healthcare data transformation

Data
Transformation

  • Parsing structured and unstructured healthcare data to extract relevant clinical content
  • Data de-duplication, cleansing, standardization and enrichment using existing terminology and data practices
structured data for enterprise applications

Structured
Data

  • Data warehouses and domain-specific data marts for clinical, operational, and financial KPIs
  • ODS used to power enterprise applications
  • NoSQL used the share non-relational data
health care data governance

Data Governance

  • Processes and tools to ensure data quality
data lake

Data Lake

  • Raw data stored as is with simple indexes
  • Always available
clinical and operational data sources

Data Sources

  • Traditional clinical and operational data
  • New, typically high volume