Iyka’s Health IT services
Helping you make better decisions with confidence by leveraging your data repository
UEI: NRH5ZMBKT2R7 CAGE: 49UM2

Vital Data

URL: www.iyka.com
UEI: NRH5ZMBKT2R7 CAGE: 49UM2
SAM: Click Here

Certified WOSB


GSA STARS III contract holder


Contract# 47QTCB22D0495
DUNS UEI: 117218655
SAMS UEI: NS48HAK2DY87
CAGE: 8ET39

NAICS

CORE NAICS: 541511
541512
518210
541611

ADDITIONAL NAICS:541513
541618 541330

Contact

Dakshep Raj Manne

Daksheprajm@iyka.com

Ph.: 630-372-3900 X 103

Iyka’s Health-IT Practice provides end-to-end solutions and consultation for patient-centric health outcomes, research, and pharmacovigilance, including Privacy-Preserving Record Linkage (PPRL) tools, application programming interfaces (APIs), data collection and survey tools, data enclaves, and public-facing dashboards.

We bring specialized expertise in health informatics, data science (AI, ML, and analytics), privacy and security compliance, patient advocacy, health administration, health technology development, and large-scale implementation.

Team: Iyka’s Healthcare IT practice is composed of experts in health informatics, business intelligence tools (including Tableau and PowerBI), data integration and transformation with ETL/ELT tools (such as Informatica, Salesforce, AWS, and Azure Cloud), data science, privacy and security compliance, patient advocacy, health administration, and health technology development with failsafe implementation.

Iyka also provides technical program management, including system and data evaluation, data exchange assessments, healthcare data analytics use cases and infrastructure support, organizational review, and data hosting and distribution services. These services enable the seamless development of a comprehensive, secure, and private out-of-the-box informatics platform that supports diverse data-related products and services.

OFFERINGS
Core/Platform/Cloud
  • Infrastructure & Operations (IaC) – CloudOps:
    Network, compute, and storage, including connectivity to on-prem resources and user/affiliate/mobile endpoints. In addition, automated provisioning of cloud services (IaC), tagging, and cost management.
  • Infrastructure & Operations (IaC) – DevOps/CICD:
    Environment, tools, and configuration for development, testing, and deployment.
  • Observability: :
    Visibility using Application & Performance Management (APM) and aggregation of logs, metrics, and alerts.
  • Single Sign-On (SSO): :
    Approach for SSO and role-based access controls with integration between Identity Access Management (IAM), Active Directory (AD), and a Gateway.
  • Applications Platform: :
    Kubernetes/Docker infrastructure or managed services (Fargate) for continuous loads and Serverless (Lambda) services for fluctuating loads.
Data/Model Management & Operations
  • Lake – Pipelines/ETL/ELT:
    Integration pipelines for a variety of data formats and sources, with embedded rules for cleansing, enrichment, and standardization.
  • DataOps & ModelOps:
    Managing the data and ML model lifecycle is a core feature and strength of the Databricks platform. The Unity Catalog offers a centralized metadata layer with access controls for all data assets. The Feature Store and MLflow components support the entire lifecycle of training, serving, and monitoring ML models.
Design/Unified Experience/Applications
  • Applications:
    Analytics and ML applications, packaged and delivered as containerized services.
  • Unified UX/UI:
    A portal-based user experience with role-based access control and personalization.
Analytics/AIML/Data Science
  • Machine Learning (ML) and Analytics:
    Artificial intelligence, machine learning, natural language processing, predictive analytics, and data mining. We build software with advanced and custom data algorithms that can impact all aspects of data flow and business processes. Data science solutions can accelerate effective data storage, retrieval, and management.
  • Platforms:
    Databricks/Spark offers a fully integrated set of tools to support the entire lifecycle, including the use of streaming data for model training and analytics. The platform is open, allowing data scientists to utilize a broad set of libraries and tools for data analysis and model development.
  • Business Intelligence:
    Automated pipelines to process, label, and transform an organization’s data for use in machine learning. Machine learning solutions ensure fast and reliable data analytics and predictive tools. Machine learning solutions utilize regression, classification, clustering, recommendation, and NLP. Insight mining, business intelligence, and reporting solutions visualize data and leverage it to improve business performance.
Program Management
  • Certified PMP:
    Full project management lifecycle processes at the task level, ensuring that each lifecycle phase produces high-quality interim results that form the basis for future work. Relevant SOPs and document templates ensure methodologies, processes, and deliverables are repeatable and reliable.
  • Domain experts:
    Experts help streamline the contextual parametrization for sentiment analysis to account for textual data feeds. Combining Natural Language Processing (NLP), text analysis, and computational linguistics for trend mining and alerting. Based on patterns/metrics, continuous data streams can be configured with the necessary monitoring and alerts.
CLIENTS SERVED

Iyka provides services to major corporations such as Apple, Facebook, Starbucks, and the United Nations. Iyka also serves numerous government organizations, including the U.S. Department of Health and Human Services (HHS), the Federal Aviation Administration (FAA), the Cook County Health and Hospitals System (CCHHS), Cook County, the City of Chicago, Chicago Public Schools, City Colleges of Chicago, the Regional Transportation Authority, and the Chicago Department of Public Health.

Iyka’s innovative approach has earned several awards and accolades, including “Innovation Best Practices” and “Best Places to Work.”

Some of Iyka’s clients, and partners are:

Leader in High Preformance Data Analytics