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The core of our client’s data struggle
Our client’s multifaceted data challenge encompassed longer processing cycles, mounting errors, and a non-scalable infrastructure, resulting in increased resource spending.
The crux of the problem lay in inefficient data organization across numerous healthcare IT systems, complicating the understanding of patients' cancer journeys and burdening oncologists with cognitive tasks.
Their existing system could not standardize patient data in HL7, FHIR format, making integration across healthcare facilities cumbersome.
The crux of the issue lies in the following areas.
- Patient data existed in multiple formats, making ingestion and validation difficult.
- Absence of a unified patient profile due to inconsistent data storage.
- Manual validation processes slowed down development and decision-making.
- Lack of role-based data access and real-time analytics hindered effective utilization.
It burdened clinicians, consuming 2 hours on EMR for every patient interaction, eating valuable clinician-patient interaction time due to ineffective data integrations and manual reconciliation. Tumor board meetings demanded 15 to 30 minutes per patient, translating to 4 hours bi-weekly for data preparation alone.
Regulatory requirements, such as GDPR and HIPAA, further complicated the integration and secure exchange of clinical data, making it clear that a more efficient, unified solution was needed.
These issues collectively underscored the urgent need for a comprehensive CDSS solution to streamline data processes, enhance patient care, and ensure compliance with healthcare standards.
Taking on the challenge
Our shared objective was to develop a state-of-the-art, data-driven, HIPAA-compliant data platform tailored specifically for healthcare that could address data fragmentation, enhance the data lifecycle process, and ensure regulatory compliance.
This technology will offer a unified view for healthcare professionals, aggregating relevant data from disparate healthcare IT systems, organizing fragmented information into actionable insights, and presenting a comprehensive, longitudinal view.
The envisioned outcome is a sophisticated solution meeting stringent Regulatory and Compliance Reporting standards that empowers healthcare professionals to spend less time searching for data and more time efficiently making care decisions.
Developing an efficient clinical decision support system
Our response to the client's complex data challenges involved implementing a multi-region AWS Data Lake, strategically designed to structurally store and manage a vast pool of patient data from global Hospital chains and Insurance industries.
This innovative platform ensures effective lifecycle management and addresses GDPR compliance. To enhance operational efficiency, we introduced a Dynamic Task Service Architecture, leveraging AWS ECS/EKS for managing asynchronous workloads, GDPR compliance, and bulk data processing.
Here’s how the data management feature was designed to function:
Step 1: Collecting & Storing Data (Data Ingestion)
We designed secure endpoints to ingest patient data from 100+ hospitals and securely store it in a centralized data lake in various formats (HL7 V2.x, CCDA, FHIR, and flat files), ensuring data was validated and transformed per specifications while supporting seamless bidirectional updates with hospital and lab systems. This ensured that all clinical data, regardless of format, was captured in one place.
Step 2: Creating a Single Source of Truth (Data Exchange)
A unified clinical data repository was created to consolidate data from diverse systems, all adhering to the HL7 FHIR specification. Secure APIs were developed to provide seamless access to longitudinal patient data, ensuring compliance with GDPR and HIPAA. A Master Patient Index was also created to prevent duplicate records and ensure accuracy.
Step 3: Enhancing Data for Better Insights (Data Enrichment)
Advanced technologies such as Named Entity Recognition (NER) and Optical Character Recognition (OCR) were used to enhance unstructured data. We integrated SNOMED-CT, ICD, and LOINC coding systems to standardize clinical data and utilized an FHIR Mapping Engine to accelerate data transformation. Automated Anonymization was also carried out to ensure compliance with privacy regulations.
Step 4: Delivering Real-Time Insights (Data Analytics)
A real-time dashboard provided doctors with a holistic view of patient information. We introduced a data intelligence layer with machine learning capabilities to enable complex querying and analytics, supporting decision-making, population health analytics, and machine learning model deployment. The system supported role-based access, ensuring the right data was available to the right people.
Key Highlights
- By creating a FHIR Resource Viewer, we enabled non-technical users to analyze data, improving productivity by 2x.
- By leveraging HL7 Parser, we automated validation leading to an increase in efficiency by 20% for about 10M patients and their related information in 50+ FHIR resources.
- We implemented real-time role-based dashboards to provide customized insights to oncologists, cardiologists, and administrators.
- To enhance data retrieval for faster decision-making we built GraphQL-Powered Optimized Search.
- We enabled seamless access to patient data from physical devices through our remote patient monitoring system.
Redefining clinical data management
The implemented platform had a profound impact on our client's healthcare operations:
- Clinicians now had access to validated and enriched patient data, empowering them to make more informed decisions, ultimately improving patient outcomes and care delivery.
- The introduction of a single source of truth ensures data accuracy and cohesion, leading to a remarkable 15% reduction in time-to-care and a 53% reduction in time taken for informed decision-making.
- Automated data validation made development 5x faster and improved accuracy by 20%.
- The platform connected 100+ hospitals across 7 regions, ensuring smooth data exchange.
- Standardized data exchange across regions and hospitals using HL7 FHIR.
- The platform ensured strict adherence to GDPR and HIPAA, with granular access controls and secure data-sharing capabilities, protecting sensitive patient data while enabling seamless collaboration across systems.
This transformation has positioned our clients as a leader in healthcare data innovation, enabling them to scale efficiently, enhance patient outcomes, and optimize healthcare workflows at an unprecedented level.
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