What We Offer

• Designing IT infrastructure for healthcare organizations.

• Assisting with HIPAA compliance and audits.

• Implementing IT solutions to meet regulatory requirements. 

• Providing guidance on data governance and privacy.

• Providing IT support and help desk services.

• Analyzing and redesigning clinical workflows.

• Implementing IT solutions to streamline processes.

• Ensuring high availability of critical IT systems.

• Establishing backup and recovery procedures.

• Developing and implementing disaster recovery plans to ensure data protection and service continuity.

Establishing standards-based data exchange (HL7, FHIR).

Integrating disparate systems across the healthcare ecosystem.

Facilitating seamless data flow for improved care coordination.

Optimizing and Integrating RCM (Revenue Cycle Management) processes through IT solutions.

Integrating custom software with existing healthcare systems. 

Developing tailored software solutions for specific healthcare needs. 

Data Warehousing and Integration:

• Building and managing centralized repositories (data warehouses) to consolidate data from disparate sources.

• Developing ETL (Extract, Transform, Load) processes to clean, standardize, and integrate data.

• Creating data lakes for storing diverse data types (structured, unstructured) for advanced analytics.

Descriptive Analytics:

• Generating reports and dashboards to visualize key performance indicators and trends.

• Providing insights into historical performance, patient demographics, and operational metrics.

• Developing interactive visualizations for self-service analysis and exploration.

Real-Time Analytics:

• Developing systems to analyze streaming data from sources like wearable devices, sensors, and patient monitors.

• Providing real-time alerts and notifications for critical events, such as patient deterioration or anomalies.

• Enabling timely interventions and proactive care management.

Population Health Analytics:

• Analyzing data at the population level to identify trends, disparities, and opportunities for improvement.

• Developing risk stratification models to identify high-risk cohorts and target interventions.

• Measuring the effectiveness of population health initiatives and care management programs.

Clinical Analytics:

• Analyzing patient data to improve clinical decision-making, treatment outcomes, and patient safety.

• Developing clinical decision support systems to provide evidence-based recommendations at the point of care.

• Identifying best practices and variations in care through comparative effectiveness research.

Operational Analytics:

• Analyzing operational data to improve efficiency, reduce costs, and optimize resource allocation.

• Developing models to predict patient flow, optimize scheduling, and manage staffing levels.

• Identifying bottlenecks and inefficiencies in clinical and administrative processes.

Financial Analytics:

• Analyzing financial data to improve revenue cycle management, reduce denials, and control costs.

• Developing models to predict reimbursement, optimize pricing, and detect fraud.

• Providing insights into financial performance and profitability.

Cardiology EHR Implementation and Integration:

• Selecting and implementing EHR systems with specialized cardiology modules.

• Integrating cardiology-specific devices and systems (e.g., ECG, cardiac catheterization labs) with the EHR.

• Customizing EHR workflows for cardiologists and cardiac care teams.

• Data migration from legacy cardiology systems to new EHR platforms.

• Providing training and support for cardiology EHR users.

Cardiology Image Management:

• Implementing and managing PACS Systems.

• Implementing and integrating Cardiovascular Information Systems (CVIS) for managing cardiology-specific data, reports, and workflows.

• Ensuring seamless access to cardiac images and data across the healthcare system.

Cardiac Catheterization Lab Systems Integration:

• Integrating hemodynamic monitoring systems, imaging systems, and reporting systems within the Cath lab.

• Ensuring seamless data flow between the Cath lab and the EHR/CVIS.

• Implementing solutions for image review, analysis, and reporting.

ECG Management Systems:

• Implementing and integrating ECG management systems for storing, analyzing, and reporting electrocardiograms.

• Connecting ECG devices to the central management system.

• Providing secure access to ECG data for physicians.

• Integrating ECG data with the EHR.

Echocardiography Systems Integration:

• Integrating echocardiography machines with image archiving and reporting systems (PACS/CVIS).

• Enabling efficient storage, retrieval, and review of echocardiogram images and reports.

• Integrating echocardiography data with the EHR.

Cardiac Data Analytics and Reporting:

• Developing data warehouses and analytics platforms for cardiology data.

• Generating reports on key cardiology metrics (e.g., procedural volumes, outcomes, complications).

• Supporting quality improvement initiatives through data analysis.

**Structured Reporting**:

• Develop custom structured reporting templates for most cardiology systems.

• Workshop sessions with providers to design custom templates that meet your needs.

• Train and support users on how to effectively capture data with structured reporting.

GE Muse NX

GE Centricity Cardio Workflow

GE Enterprise Archive

GE MacLab/CardioLab

GE Carescape Gateway

GE CASE

GE CardioDay

Siemens Syngo Workflow

Siemens Syngo Dynamics

PaceMate PaceArt

Change Healthcare CHC CPACS

And more.....