Healthcare Solutions | Decoded Health

SCALE your efficiency

Data Infrastructure & Engineering

Data Governance: Establish a comprehensive data governance framework that addresses key aspects such as data quality, secure and role-based data access, regulatory compliance, and ethical data usage, especially critical when training ML models.
Data Warehousing & Lake Architecture: Design and implement modern data warehouses and lakes optimized for high-volume analytical workloads. This includes detailed schema design, effective data cleansing practices, and strategic data migration to cloud-based solutions for enhanced scalability.
Data Pipeline Development: Develop and deploy robust, scalable ETL (Extract, Transform, Load) processes that automate data extraction from heterogeneous systems (e.g., EHRs, imaging, billing), ensuring high data quality and availability in analytics-ready formats.

YOUR NEEDS YOUR OWN AI MODEL

Feasibility Assessment: Conduct detailed workshops with key stakeholders to identify and prioritize high-impact ML use cases, assess the available data landscape, and outline strategic implementation plans.
Model Development & Experimentation: Design and develop diverse machine learning models—ranging from regression for predictive analytics, decision trees for classification tasks, to fine tuned large language models (LLMs) for complex image, language, or signal processing. Services include robust model evaluation and validation frameworks.
Model Deployment & MLOps: Establish comprehensive machine learning operations (MLOps) frameworks to manage the lifecycle of ML models, including deployment, monitoring, and continuous improvement, ensuring models adapt to evolving data conditions.

Friendly IMPLEMENTATION

FHIR Strategy & Implementation: Develop a strategic roadmap for FHIR implementation that aligns with your organization’s interoperability objectives, detailing resource utilization, security frameworks, and authentication protocols.
Custom FHIR API Development: Create robust, FHIR-compliant APIs that facilitate seamless data sharing across the healthcare ecosystem, supporting innovative use cases such as patient-engagement apps, collaborative research projects, and real-time health monitoring integrations.
EHR Integration: Leverage extensive expertise with major EHR platforms (e.g., Epic, Cerner) to implement APIs that enhance data flows without disrupting existing clinical workflows.

CONNECT YOUR PATIENTS and Providers to Clinical Inteligence

Custom Software Solutions: Build customized web and mobile applications tailored to the specific needs of different user groups within the healthcare ecosystem, from clinicians and administrators to patients, using agile development practices for rapid iteration and deployment.
Clinical Decision Support Tools: Develop AI-enhanced tools that integrate directly with EHR systems to provide real-time clinical alerts, diagnostic support, and evidence-based recommendations during patient encounters.
Patient Engagement Platforms: Create comprehensive patient engagement solutions that offer appointment scheduling, secure communication with healthcare providers, adherence tracking, and educational resources.
Administrative and clinical workflow automation: bespoke workflow automation development to eliminate repetitive knowledge work using AI.

Improve what you can measure

Predictive Modeling: Employ advanced machine learning techniques to develop predictive models for patient readmissions, staffing optimization, supply chain management, and potential outbreak detection.
Interactive Dashboards: Create dynamic, user-friendly dashboards that convert complex datasets into easily interpretable visuals, tailored for different stakeholder groups including hospital administrators, clinicians, and researchers.
Natural Language Processing (NLP): Utilize powerful LLMs to extract meaningful insights from vast amounts of unstructured clinical data, automate the summarization of medical records, and support  in-depth clinical research.