Consulting &


Enterprise Imaging


We offer unique differentiators and strengths that combine our knowledge of the diagnostic imaging market with diverse experience in Picture Archiving Communication System (PACS), Vendor Neutral Archiving (VNA), Enterprise Architecture (EA).

Our comprehensive consulting offerings include:

  • Enterprise-Wide Imaging Strategy Development

  • Research & Development

  • Vendor Evaluation & SLA Negotiation

  • RIS CVIS PACS Workflow Mapping and Analysis

  • Workflow Optimization

  • Infrastructure Optimization

  • Migration & Mapping

  • Digital Imaging Strategy

HIMSS Analytics Maturity Models

The Electronic Medical Record Adoption Model (EMRAM) is an eight-stage (0-7) model that measures the adoption and utilization of electronic medical record (EMR) functions. Meeting the requirements of each stage will move you closer to achieving a near paperless environment that harnesses technology to support optimized patient care.

  •  Charts progression of adoption for clinics that deliver inpatient care

  •  Advances hospitals toward better ancillary integration

  •  Drives organizations to a paperless environment

  • Provides a roadmap for system implementation to achieve CPOE, security and analytics to improve health and healthcare

The Outpatient Electronic Medical Record Adoption Model (O-EMRAM) assesses EMR adoption keeping the unique needs of outpatient facilities in mind.

  •  Measures technology implementation in outpatient clinics that order patient tests and medications

  •  Promotes clinical documentation and ordering as one simultaneous dialogue

  •  Drives patient engagement to improve chronic disease management

  •  Ensures the best use of clinical decision support 

The Adoption Model for Analytics Maturity (AMAM) is an international eight stage (0-7) model measuring the capabilities your organization has gained from technology and surrounding processes. Our AMAM services are designed to progressively measure and advance your organization’s analytics capabilities to improve healthcare delivery.

  •  Grow data content to improve operational, clinical and financial performance

  •  Develop a strategy for sourcing and collecting data

  •  Build governance to manage your data assets

  •  Align your analytics efforts with overall organizational strategy

The Clinically Integrated Supply Outcomes Model (CISOM) assesses a health care system's ability to track processes and products used in care by mobilizing data to create real world evidence of impact and outcomes for patient populations.

  •  Improve inventory management through product utilization tracking using supply chain tools

  •  Mobilize supply chain data to reduce variation in care to drive cost reduction and strengthen quality outcomes

  •  Measure patient outcomes linked to care processes, products, and care teams to proactively inform delivery of quality care for every patient

  •  Enable personalized care delivery and proactive risk management to population segments informed by real time supply chain data at point of care through strategic supply chain management

The Digital Imaging Adoption Model (DIAM) is an eight-stage (0-7) model that provides guidance for imaging and IT experts to identify and adopt the right digital strategy and improve health outcomes for patients.

  •  Assess the maturity of IT-supported processes in medical imaging for both hospitals and diagnostic centers

  •  Utilize more than 100 indicators from multiple focus areas such as software applications, image capture, distribution and viewing, imaging governance, clincial decision support, imaging analytics, or patient engagement

  •  Leverage an imaging-service agnostic international model that is valid for all types of medical imaging

The Infrastructure Adoption Model (INFRAM) is an eight-stage (0-7) model that helps healthcare leaders assess and map the technology infrastructure capabilities required to reach their facility’s clinical and operational goals — and meet International benchmarks and standards.

  •  Assess and understand where your organization stands compared to other healthcare organizations

  •  Evaluate the capabilities of separate domains of infrastructure — Mobility, Security, Collaboration, Transport, and Data Center — and understand how they work together

  •  Plan detailed strategic technology plans that define current state, desired future state, and each stage in between to achieve clinical and operational goals

  •  Act on evidence to create compelling business cases for investments that link stakeholder experiences, outcomes, and technology

The Continuity of Care Maturity Model (CCMM) is an eight stage (0-7) model that demonstrates the evolution of communication in healthcare. It ranges from clinicians in different settings with limited or no electronic communication to an advanced, multi-organizational, knowledge-driven community of care.

  •  Build and improve critical capabilities needed for coordinated patient care, including health information exchange, patient engagement and advanced analytics

  •  Identify and align actions from three critical stakeholder groups: 1) Governance/administrative leaders; 2) Clinical leaders 3) Information Technology (IT) leader

  •  Gauge your performance in each of the stakeholder groups across each setting in the care community to measure and enhance coordinated care