Healthcare IT

Our team has experience evaluating IT, healthcare and security standards (i.e. IPv6, ICD-10, NIST 800-53) to understand the requirements as they apply to the particular provider setting, evaluate the impact, implement the requirements and provide ongoing monitoring to ensure compliance.  Additionally, our team has worked with providers to understand desired outcomes, identify data sources, and implemented technical solutions which improved patient outcomes.  Our team has expertise in providing Privacy Impact Assessments, data exchange policies, and PHI (Protected Health Information) and PII (Personally Identifiable Information) evaluation.  Finally, our team has worked with practitioner groups to leverage their patient data to provide for better healthcare policy over time, and delivered new applications into secure on-prem/cloud-based datacenters.

Our experience includes leveraging geographic and geospatial data to meet the challenges of healthcare operations; as well as, improving patient outcomes.  ArdentMC past performance includes providing support to military theater settings to enhance the disaster response capabilities for NATO, Coalition, and US forces.  Our experience spans implementation of barcode and RFID patient tracking and mobile blood management solutions to improve the quality of care for patients; as well as, patient tracking across the globe for epidemic tracking.  Our mobile development engineers build native applications in iOS/Andriod, as well as deliver agnostic HTML-5 code working on multiple-form factors. Our team has experience providing geospatial enablement of nationwide data including web services, ESRI and open source file formats, leveraging both secure and open technical regimes while providing integration with systems of record.

ArdentMC has a rich history of providing healthcare IT support across the Federal space including; mobile application development, geospatial services, policy and process improvement, and system and data security.  Our application of geospatial analysis in healthcare provides data rich information and predictive insights to critical challenges facing clinicians, force health protection planners, providers, and ultimately patients.  By applying analysis and automated workflow to healthcare IT we allow clients to overcome information poor situations by evaluating pattern detection, implementation of data science and even spatial analytics to allow for informed decision making. 

Our Work

Disease Control & Surveillance

Geocoding Patient/Medical Records
Mapping Community Health Characteristics
Analyzing the Continuum of Care
Service Area Analysis
Fraud Detection

Mobile Enablement
Asset Tracking
Hospital Facility Inspections

Common Operating Pictures (COPs)
National Biosurveillance Integration Center

Our Approach

Practice Areas
Healthcare Policy
Information Security (including FedRamp, NIST, HIPAA, and Privacy)
Geospatial Analysis

Our Strategy

Dev/Ops Technical Expertise
Integration of geospatial tools
Agile development for web and mobile platforms
Clinical workflow applications
Data architecture and integration modeling
Implementation of Common Operating Pictures (COPs)
DevOps Automation

Policy and Security
Expertise in securing and protecting healthcare data
Legal policy development, implementation and site audits
Business Process Improvement
FedRamp and NIST security reviews and implementation

Enhanced GeoAnalytics
Analyzing Data across the Continuum of Care
Service Area Analysis
Fraud and Waste Detection
Mobile Enablement for asset tracking, facility inspections, and event response
Epidemic Tracking

Past Performance

Integration of RFID for Military Health Systems
In Theater Capability for Disaster Response
Included NATO, Coalition, & US Forces
Pacific JITC Deployment
RFID Patient Tracking Solution that Improves the Quality of Care for the Injured Warfighter.

Geospatial Enablement of Nationwide Data
Web Services
Esri & Open Source File Formats
Secure & Open Technical Regimes
Integrate with Other Systems of Record

Overcome Data Rich But Information Poor Environs
Pattern Detection
Data Science
Spatial Analytics