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Healthcare data engineering

Unlocking the Power of Data.

Overview

Data-driven insights are the lifeblood of modern healthcare delivery. They fuel complex machine learning platforms, behavioral analytics for patient experience, and countless other innovations disrupting the industry. Healthcare data engineering plays a pivotal role in unlocking these insights, but it comes with unique challenges.

Healthcare Data Engineering Challenges:

  • Big data complexities: From high-velocity IoT data to massive genomics and radiology datasets, healthcare presents a unique big data challenge.
  • Compliance and regulations: Managing evidence-based clinical guidelines, administrative rules, and regulatory submission standards adds another layer of complexity.
  • Data security: Protecting sensitive patient information is paramount, requiring robust security measures.

Cybage: Your Partner in Healthcare Data Engineering Success

With extensive experience across industries, Cybage offers comprehensive data engineering consulting services and solutions specifically tailored to the healthcare landscape. We understand the unique challenges you face and provide a multifaceted approach that includes:

  • Data engineering platform implementation: We help you leverage traditional data warehouses, modern data lakes, and cutting-edge DevOps practices to build a robust data infrastructure.
  • ETL lifecycle management: Our expertise ensures efficient data extraction, transformation, and loading processes, ensuring data quality and accessibility.
  • 24/7 support model: We provide ongoing support to ensure your data engineering solutions function flawlessly and evolve with your needs.

By partnering with Cybage, you gain access to a team of experienced data engineers who can help you:

  • Turn raw data into actionable insights.
  • Optimize clinical decision-making.
  • Enhance patient experience.
  • Navigate complex compliance requirements.
  • Ensure data security and privacy.

Unlock the transformative power of healthcare data engineering with Cybage!

Our Expertise

ETL (Extract, Transform, Load) extracting data from various sources such as electronic health records (EHRs), medical imaging systems, pharmacy systems, and lab systems; transforming the data into a standardized format; and loading it into a data warehouse or another storage system for analysis and reporting.

Data modeling in healthcare involves designing the structure of databases and data warehouses to represent and store healthcare-related information accurately. It includes patient records, medical histories, treatment plans, and more.

Essential for data-driven decision-making and improving patient care, optimization with strategies like incremental loading, parallel processing, data compression, indexing, data partitioning, and monitoring and tuning.

Semantic transformation standardizes and harmonizes data from different sources to be easily understood and shared. For example, it is mapping different coding systems (e.g., ICD-10, SNOMED CT) to a common terminology to ensure consistency in data representation. Syntactic transformations convert data between various file formats or communication protocols. For example, data can be converted from HL7 v2 to HL7 v3 format for interoperability between healthcare systems.

Transforming complex healthcare real-time data into easily understandable visual representations, such as charts, graphs, and dashboards. It includes patient health monitoring, healthcare performance indicators, and public health surveillance.

Resource Centre

Cybage Developed Intuitive Risk Based Intervention
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Cybage Developed Intuitive Risk Based Intervention
Cybage built a multi-tenant risk-based clinical trial monitoring solution for a niche life sciences startup based in USA and Switzerland.
Cybage Engineered Wellness Management Platform
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Cybage Engineered Wellness Management Platform
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Cybage Developed Advanced Healthcare RMS
Built an advanced healthcare solution for referral management and physician engagement. Helped achieve < 2 weeks customer onboarding, 2x improvement in time to market and 99.9% system availability.
Cybage Transformed Geriatric Care Platform
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Cybage Transformed Geriatric Care Platform
Designed an intuitive UX and developed Cloud (AWS) native multi-tenant SaaS-based telehealth and home care management solution for a full-time home care provider for seniors and disabled in the US.
eHealth Market Leader Gains Rapid User Adoption Through Turnkey Online Solutions and Workflows
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eHealth Market Leader Gains Rapid User Adoption Through Turnkey Online Solutions and Workflows
An Australian clinical and practice management software company achieved 50% marketshare increase in the General Practitioners market using a turnkey web-based ecosystem.
Cybage Provided Data Quality Value Assessments
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Cybage Provided Data Quality Value Assessments
Learn how Cybage formulated 20+ value metrics for a leading home health platform to unlock growth and monetization potential
Cybage Improves Data Accuracy
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Cybage Improves Data Accuracy
Cybage provides round-the-clock support that is backed by a strong IT infrastructure library-based model. It also remodeled the data quality by optimizing the ETL process, thereby hugely improving the client's data efficiency.
25 Skills a Healthcare Solutions Developer should have
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25 Skills a Healthcare Solutions Developer should have
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8 Areas to focus on while Testing Healthcare Applications
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How to design a good healthcare metric
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How to design a good healthcare metric
The right metrics will give you valuable insights on health, its strength and weaknesses, potential threats, and let you improve it greatly.
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Connected Care Building a Better Future for Healthcare
Patients and physicians have now experienced the power of connected health, making virtual visits and remote patient monitoring the standard. These solutions are however just the tip of this connected…
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