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“The combination of project management, business analysis, and technical knowledge helps me provide maximum value to the customer during the project. Inspired by the spirit of agile and lean development, I always try to make any project development team like a product so that everyone can work with maximum engagement and excitement.”

Alexey is a standout leader who excels in guiding teams to success. His clear communication style and adept management skills ensure that everyone understands their tasks and responsibilities. Beyond his impressive professional skills, Alexey is also a pleasure to work with. He fosters a positive and collaborative work environment, where everyone feels valued and motivated to do their best.

Oleg Sprinzhunas

Business Analyst at EffectiveSoft

Articles by Alexey Kozlovsky (7)

AI in healthcare claims processing and management
AI in healthcare claims processing and management

3 weeks ago 12 min read

Medical claim management: how AI is solving healthcare’s multibillion-dollar problem
Healthcare claim management has traditionally been ineffective: slow, error-prone, and costly. Now, artificial intelligence (AI) is fixing the issues. With smart automation, predictive analytics, and intelligent software tools, AI is driving faster reimbursement, reducing mistakes, and improving financial health of care delivery.
  • Artificial intelligence
  • Healthcare
healthcare data visualization
healthcare data visualization

7 months ago 13 min read

Healthcare data visualization: benefits, examples, and tools
The healthcare industry is awash in data. From patient records and clinical trials to operational metrics and public health trends, the sheer volume of information can be overwhelming. Data visualization helps make complex medical data easily digestible with visual formats like charts, graphs, and interactive dashboards. This allows healthcare professionals to quickly obtain the required insights, make decisions with more confidence, and ultimately improve patient care.
  • Healthcare
  • Data analytics
healthcare claims management system
healthcare claims management system

8 months ago 15 min read

Custom medical claims management solutions
Are you a healthcare provider feeling overwhelmed by inaccurate data, compliance risks, claims rejections and denials, and reimbursement delays? Overcome these problems with our custom medical claims management software services. The top-quality claims management solutions we build enable our healthcare clients to effectively manage claims between patients and insurance agencies, improving administrative efficiency and overall financial health.
  • Healthcare

8 months ago 15 min read

Healthcare data analytics
EffectiveSoft provides healthcare analytics services to hospitals, public health organizations, clinics, medical device manufacturers, and other healthcare businesses. We create competitive data analytics solutions that empower medical facilities to extract profound insights and make efficient clinical decisions. The outcome? Streamlined operations, optimized costs, and enhanced value-based care.
  • Healthcare
  • Data analytics
what is data management in healthcare
what is data management in healthcare

11 months ago 11 min read

Healthcare data management in clinics: challenges and solutions
The healthcare industry is generating an increasing amount of data from different sources and in various formats. Healthcare data management systems help medical organizations handle all this information, facilitating patient care and decision-making. However, healthcare clinics must be prepared for the challenges they may encounter when implementing these systems.
  • Healthcare
  • Data analytics
generative ai in healthcare
generative ai in healthcare

1 year ago 13 min read

Generative AI in healthcare: benefits and top use cases
Generative AI is making its way into the healthcare industry, providing new, more efficient approaches to medical, administrative, and other tasks. Despite its significant potential, adoption among healthcare executives remains limited, with too few companies integrating the technology into their operations.
  • Artificial intelligence
  • Healthcare

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