11 GHP Q3 2026 o begin, could you tell us about ScienceSoft’s mission and he principles that guide your work? Our mission is to reduce care costs and improve patient outcomes through technology. To achieve this, we look at the process as a whole and ask which changes could bring the greatest clinical or financial value. Then we work out how to make these changes possible. The same problem can often be addressed in several ways, and the most suitable option depends on the organization’s current processes, technology environment, budget, internal capabilities, and long-term plans. We help clients compare the options and choose an approach that is realistic, cost-effective, and capable of producing a meaningful result in their environment. How does ScienceSoft organize its work to manage the complexity of healthcare IT projects? We organize software delivery around three dedicated units: The Project Management Office keeps delivery predictable and transparent. Our certified project managers use shared practices for planning, estimation, change management, reporting, and stakeholder communication. They raise risks early, keep decisions and responsibilities clear, and involve other experienced PMs when complex delivery situations call for a second opinion. The Architecture & Solutions Center of Excellence, led by nine principal architects with 15–25+ years of experience, designs secure and cost-efficient architectures aligned with applicable compliance requirements. Our architects plan for interoperability with internal and partner systems (including legacy solutions) and apply proven patterns for scalability, cloud readiness, performance, and long-term maintainability. The Technology & Competency Center of Excellence helps match each project with people who have relevant domain-specific and technical experience. It could be knowledge of specific data exchange standards and formats (e.g., ASTM and CLSI for laboratories; DICOM for imaging; X12 for billing) or clinical coding and terminology systems such as ICD-10, CPT, SNOMED CT, LOINC, and RxNorm. In December 2025, ScienceSoft became a Gold Member of the Healthcare Information and Management Systems Society (HIMSS). This membership gives our specialists additional access to industry frameworks, education, and peer knowledge as they continue strengthening their healthcare IT expertise. What impacts healthcare IT the most today, and how does it change the way ScienceSoft operates? I think the change with the broadest impact right now is the rapid development and adoption of AI. Providers are already introducing it into clinical and administrative work, while major technology companies are reshaping their products and roadmaps around it. There is much more interest in what AI can realistically improve, but ScienceSoft is a pioneering AI transformation and software development partner for healthcare organizations. We are proud to hear more directly from Hadeel Abu Baker, Senior Healthcare IT & AI Consultant, as the company was recently awarded the title of Leading Healthcare Software Provider 2026 in this year’s Global Excellence Awards. Healthcare Streamlined with ScienceSoft also more caution around reliability, data governance, compliance, and the effort needed to introduce it into day-to-day work. This is an area where our healthcare and engineering experience can make a practical difference. That is why AI transformation has become a major part of our offering. We want to help healthcare organizations rethink and improve administrative and clinical operations with AI. You use the term “transformation” rather than “implementation” or “adoption”. What is the difference? If AI remains a separate tool beside the process, it may make one task easier but leave the rest of the work unchanged. We call it transformation when AI becomes part of the process itself, changes how work moves from one step to another, and produces measurable results throughout the process or the entire organization. In healthcare, these results are often operational at first: shorter cycle times, less manual work, higher staff capacity, fewer delays, or better access to services. But they directly affect how much the organization spends, how much work it can handle, and, in some cases, how much revenue it can generate. What does AI transformation look like in practice for a healthcare organization? Let’s look at the revenue cycle. We may start with prior authorization, where AI assembles submission packages, checks payer requirements, and flags missing information for staff review. If the KPIs show tangible improvements, it can be extended to connected workflows like coding, claim preparation, quality checks, and denial management. At this point, the organization begins to redesign the revenue cycle end-to-end: deciding which tasks AI can handle directly, where human approval remains necessary, and how roles and handoffs should change. Broader use also requires clear rules for validation and monitoring, with tighter controls for higher-risk tasks. This is where we start talking about transformation. Contact: Alexa Tsviatkova Company: ScienceSoft Website: www.scnsoft.com/healthcare T Jul26009
RkJQdWJsaXNoZXIy MTUyMDQwMA==