Spsoft

SPsoft describes its team as human capital focused on delivering tangible value to customers. CEO and founder Mike Lazor has more than 20 years of experience strategizing and building software solutions for Fortune 500 companies.

Core team

• Andrii Fedan — COO
• Andriy Senyk — VP of Strategic Partnership and Business Development
• Romaniya Mykyta — Head of Product Management
• Volodya Sveredyuk — Head of Backend
• Volodymyr Spodaryk — Head of Python Competency
• Marta Holdinova — Head of Talent Acquisition

Services

• Healthcare AI solutions: Building AI-boosted healthcare products from scratch, adding AI capabilities to existing software, and augmenting internal AI expert teams.
• Custom software development: Developing telehealth, EHR/EMR, and practice management systems with AI capabilities and modern user interfaces. Expertise includes SaMD-compliant development and DICOM medical imaging.
• Interoperability solutions: Providing cross-platform healthcare data interoperability, FHIR and HL7 integrations with Epic and other EHRs, SMART on FHIR applications, healthcare data analytics on FHIR, and data conversion to FHIR.
• Healthcare data analytics: Analyzing clinical data, generating operational and workflow insights, supporting patient engagement and behavior analytics, and providing AI-driven decision support.
• Healthcare cloud services: Supporting cloud infrastructure security audits, optimization, automation, and maintenance, as well as migration of legacy software to the cloud.
• Healthcare compliance services: Consulting on HIPAA, ISO 13485, IEC 62304, SOC 2, FDA, and HITRUST. Services also include QMS setup and management, software verification, and FDA-compliant technical documentation.

Delivery capabilities

SPsoft combines healthcare domain expertise with FHIR, HL7, Epic, DICOM, SaMD, HIPAA, and cloud expertise. The company uses pre-developed components to accelerate delivery while tailoring solutions to client requirements, and emphasizes user-friendly interfaces, cloud infrastructure, operational alignment, interoperability, and FHIR-first development.

How voice assistants work

A typical voice assistant:

1. Captures speech as an audio signal.
2. Converts speech to text using automatic speech recognition.
3. Uses natural language processing to understand intent and context.
4. Retrieves information or executes an action.
5. Creates a response.
6. Converts the response to speech using text-to-speech technology.
7. Delivers the spoken response through a device speaker.

Capabilities

AI voice assistants can support task execution, context awareness, multilingual interactions, third-party compatibility, personalized responses, and voice authentication. Business applications described by SPsoft include workplace productivity, IT support, HR operations, meeting management, inventory processes, customer insights, marketing, accessibility, and chatbot voice functionality.

Industry applications include healthcare scheduling and medication reminders, clinical documentation and EHR integration; banking inquiries and transactions; travel and hospitality information and room controls; automotive navigation and vehicle controls; and e-commerce product discovery.

Custom-built assistants

A custom AI voice assistant is designed around a company's specific functionality and capabilities. Compared with an off-the-shelf product, a custom system offers greater personalization, control, flexibility, and scalability, but generally requires more upfront investment and a longer development period.

Use cases

The service supports:

• Primary care and family medicine
• Emergency department coding
• Surgical specialties
• Outpatient diagnostics
• Risk adjustment and HCC coding

Key benefits

• Consistent coding logic based on current guidelines
• Real-time documentation processing
• Reduced coding bottlenecks and administrative work
• Quarterly ICD-10 updates and annual CPT changes incorporated into the solution
• Coding suggestions integrated into existing documentation workflows
• Compliance-focused code assignment and documentation checks
• Ongoing algorithm refinement, coding guidance updates, and performance monitoring

The system can automatically handle straightforward cases and flag more complex cases for human review with suggested codes and supporting documentation references. It supports specialty-specific modules and can be configured for an organization's clinical specialties, documentation patterns, and billing requirements.

Implementation

SPsoft describes a five-step implementation process that can be completed in 4–8 weeks:

1. Coding assessment workshop
2. Configuration and customization, completed in 2–3 weeks
3. Statement of work for implementation
4. Pilot deployment and validation
5. Full deployment, training, performance dashboards, and ongoing optimization

The solution supports HL7, FHIR, API-based, and appropriate direct database integrations. It can operate as an embedded solution that provides coding suggestions during documentation or as a post-documentation processing engine.