DIGITAL DATA

Infostretch Healthcare Data Analytics Platform (HDAP) Harness Healthcare Data for a Competitive Advantage

We enable entities across the healthcare ecosystem to leverage all their data assets to deliver higher service levels, increase operational efficiency and achieve financial performance.

THE CHALLENGE

Disparate Data Sources Create Widespread Healthcare Challenges

Complex, siloed systems and a lack of data standardization hinder important information access and negatively impact the quality of patient care, operational efficiency and revenue growth.

Widespread Healthcare Challenges

Payer Data
Payer Data
Patient Claims, Pharmacy

Provider Data
Provider Data
(EPIC, Cerner, etc.)

Population Data
Population Data
Public Sources

Other Sources
Other Sources
Situation-Specific

WHAT WE DO

INFOSTRETCH HEALTHCARE DATA ANALYTICS PLATFORM (HDAP)

Infostretch acts as a data accelerator for companies in the healthcare ecosystem-enabling you to harness your healthcare data assets more effectively. We can help you by:
healhcare data analytics platform monetize your data assets
Enabling you to rapidly move to a technology platform that allows you to leverage, utilize and monetize your data assets

healthcare analytics platform support standard models
Supporting standard models such as OMOP for persistent healthcare data, enabling normalization and longitudinal data representation

intelligent analytics platform provide ready code for processing
Providing ready code for processing standard healthcare data types (HL7, CCDA, DICOM, FHIR, labs, known EMRs)

healthcare analytics prepare healthcare data
Defining key stages for preparing healthcare data for analytics

healthcare data analytics tools Streamline regulatory healthcare reporting
Streamlining regulatory healthcare reporting, KPI calculations and leveraging data for research

medical data analytics enable Pay-As-You-Go service
Providing a reference implementation built on AWS using platform components enabling Pay-As-You-Go service

hospital data platforms identify opportunities for new patient services
Preventing revenue loss to inaccurate data and identifying opportunities for new patient services

WHAT WE DO

HEALTHCARE DATA ANALYTICS USES CASES – POWERED BY INFOSTRETCH HDAP

Infostretch HDAP 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 many of the examples of how Infostretch HDAP can help you, including:

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.

Patient Data Aggregation
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 makes 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 in optimizing patient care as well as care costs and reimbursements by enabling the care providers to benchmark 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 [ICD, SNOMED], procedure codes [CPT], labs results code [LOINC], medication and drug codes [NDC], image- related codes [DICOM] 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 can provide 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. This facilitates an improved level of 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 surveillance is also possible.

Hospital Operations
Hospital Operations

HDAP can monitor patient flow, bed occupancy, lengths of stay, re-admissions, cost analysis vs. industry benchmarks, supply chain and inventory. This enables 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.