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Alexander Suhov

Alexander Suhov

Delivery Manager

With over 15 years in data analysis, I can make your data work for your business success with customized BI, AI, and ML solutions.

Alex firmly believes that the key to exceptional success lies in providing value. His passion for data analysis and marketing management has transformed from mere hobbies into a fulfilling profession.

As a dedicated leader, he joined Belitsoft in 2016 and has since used his in-demand tech skills to exceed in any endeavor. In his role as the head of the BI department, he provides guidance and empowers his team members.

His extensive 15 years + background in Product Management, Business Intelligence (BI), Marketing Management, Project Management, and Data Analytics enables him to bring out the best in teams and projects.

Insights

Emergency Medical Services Analytics to Improve the Throughput

Emergency Medical Services Analytics is widely used by healthcare networks that unite tens of hospitals and emergency rooms (ERs), employ thousands of physicians, and take care of hundreds of thousands of inpatient visits and millions of outpatient visits. They report millions of dollars saved as a result of the left-without-being-seen (LWBS) rate reduction. What are the steps that organizations have to take to achieve such results?

Alexander Suhov • 4 min read

Population Health Analytics and the Triple Aim with Tens of Millions in Savings

Population health analytics is used widely by healthcare delivery networks that operate tens of hospitals and clinics, employ tens of thousands of staff, and serve hundreds of thousands of patients. Healthcare systems use population health analytics to achieve the Triple Aim of improving population health, patient experience, and per capita costs. Healthcare networks identify specific areas for improvement, and the results affect all the hospitals in the system. After implementing the population health analytics, networks report annual savings of tens of millions of dollars in areas associated with the highest healthcare costs, such as cardiovascular (CV) disease and stroke care. What is the strategy healthcare networks follow to achieve such impressive results?

Alexander Suhov • 5 min read

Care Management Analytics for ACOs to Reduce Costs by Millions of Dollars

Care Management Analytics tools are in high demand by large Accountable Care Organizations (ACOs) that coordinate dozens of hospitals, hundreds of patient care sites, and hundreds of thousands of insured lives across Medicare, ACA exchange, Medicaid, commercial, and direct-to-employer lines of business. They report significant reductions in annual spending for Medicare patients, in hospital readmissions and lengths of stay (LOS), as well as improvements in care coordination for super-utilizers, who usually consume a disproportionate share of healthcare resources.

Alexander Suhov • 5 min read

Data Integration for ACOs

The lack of data standardization, the use of different EHRs or different versions of the same EHR with customization nuances, and the loss of key employees involved in building or customizing data analytics platforms are key data integration challenges on the path to Value-Based Care (VBC) for Accountable Care Organizations (ACOs), according to the National Association of ACOs' 2024 report, "ACO Drivers for Success." The report highlights that today there are myriad data analytics solutions, which adds complexity to understanding who can truly deliver what an ACO needs and to properly vetting vendors.

Alexander Suhov • 3 min read

Insurance Claims Analytics Software to Save Millions by Reducing Denials

Denials Analytics is widely used for claims denial management by large health systems that operate across dozens of locations in multiple states, serve hundreds of beds, employ tens of thousands of staff, and provide hundreds of thousands of outpatient visits. They report that improved analytics have helped them achieve impressive savings, sometimes within just a few months, in both recurring and annualized recurring benefits as a direct result of denials reduction. What steps do organizations take to achieve such results?

Alexander Suhov • 4 min read

Self-Service Population Health Analytics to Justify Grants for Expansion

Self-service analytics is widely used by large healthcare networks that operate hundreds of care locations, treat hundreds of thousands of hospital admissions and emergency department (ED) visits, and employ tens of thousands of staff members. Healthcare systems use population self-service analytics, for example, to collect data on early warning signals of potential health crises among the population, like the rapidly increasing rate of mental health problems and more. With this data, they can prove the necessity of creating additional resources, such as crisis stabilization units, to reduce the workload on the ED services. Organizations report on securing millions of investments for their initiatives based on these data-driven arguments. What is the strategy they undertake to achieve such results?

Alexander Suhov • 3 min read

Healthcare Performance Analytics Drives Revenue Growth by Tens of Millions

Performance Analytics tools are broadly used by large healthcare systems that serve thousands of patients in their hospitals each year and have hundreds of thousands of annual visits to their medical centers. They report not only improvements in the revenue but also achievements in healthcare delivery, like timely treated cases of life-threatening conditions or increased numbers of proactive procedures and operations in targeted populations. What strategies do these health systems implement to tackle sustainable results?

Alexander Suhov • 4 min read

Reducing DNFB Rates with Health Information Management Software

Health information management (HIM) software with embedded analytics modules is in use by health systems with dozens of beds and hundreds of physicians. They report an improvement in Discharged Not Final Billed (DNFB) rates, which means more efficient payment collection after discharging patients. In some cases, this improvement results in an additional $1 million in annual reimbursement for the provided patient care. What are the steps that healthcare organizations have to take to achieve such impressive results?

Alexander Suhov • 4 min read

Clinical Documentation Improvement with Clinical Quality Analytics Software

Clinical Quality Analytics software for Clinical Documentation Improvement (CDI) is widely used by large healthcare networks that serve hundreds of thousands of patients. They report that implementing CDI activities (such as more appropriate coding and improved DRG accuracy) leads to improvements in critical tracked metrics and consequently reduces missed revenue opportunities, bringing in additional millions in reimbursements. What strategies do these healthcare networks implement to drive such sustainable results?

Alexander Suhov • 2 min read

Patient Readmission Analytics to Reduce Readmissions by Hundreds

Readmission Analytics tools are widely used now by large healthcare systems that serve millions of patients. These health systems operate dozens of hospital campuses, primary care clinics and urgent care/same-day centers, and at least one hundred specialty practices in the communities they serve. They report improvements like a high percentage of patients completed follow-up within the target number of days which significantly reduces the likelihood of hospital readmissions. What strategies do these health systems implement to drive sustainable results?

Alexander Suhov • 3 min read

Activity-Based Costing Software for Millions in Healthcare Savings

Activity-based costing (ABC) analytics software is in use among healthcare delivery systems with tens of hospitals, thousands of inpatient admissions, millions of outpatient visits, and thousands of physicians. Healthcare systems admit that the ABC analytics helps to tackle challenges to sustainability through effective cost management and clinical improvements. They mention cutting costs by millions and improving patient outcomes for such metrics as patient satisfaction, hospital readmissions, complications, patient outcomes, for example, in surgical fields, particularly orthopedics and other specialties. Applying the ABC analytics software also improves clinical results in such domains as women’s health and cardiovascular. What is the strategy that healthcare organizations implement to achieve these sustainable results?

Alexander Suhov • 3 min read

ACO Analytics Software to Achieve the Highest MIPS Quality Scores

Large Accountable Care Organizations (ACOs), serving tens of thousands of patients, are already using ACO analytics solutions that focus on providing the proper care to the proper patients at the right time. They report improvements, for example, in the number of patients receiving cancer screenings. This allows them to achieve the highest MIPS quality scores and save Medicare millions beyond its target. What strategies do they implement to drive sustainable changes?

Alexander Suhov • 5 min read

Healthcare Analytics to Reduce the Average Length of Stay in Hospitals

If you have ever heard about how an optimized Length of Stay (LOS) may impact the financial health of healthcare systems in theory, not in practice, you may not believe it at first glance. Reports suggest that thousands of inpatient days are saved, several thousand admissions become possible due to "sudden" bed availability (equivalent to adding dozens of new beds), and, of course, tens of millions in direct operating expenses are prevented. All of this is complemented by such "side effects" as avoiding adverse patient events (ranging from falls to multi-drug resistance and hospital-acquired infections) and reducing the total cost of care. How is this even possible? What steps do we need to follow to recreate this success?

Alexander Suhov • 3 min read

EHR Data Analytics Solutions

It's not a trivial task to transform electronic health records into insights. Data scientists have to extract suitable data from the system, clean it of errors and inconsistencies that always exist, and finally use appropriate statistical and machine learning methods to achieve the main goals. These goals come from healthcare domain experts and may sound like "improve patient care."

Alexander Suhov • 19 min read

We develop analytic solutions that go beyond the standard reporting features found in commercial CRM applications. Our services include building predictive models, bespoke customer segmentation algorithms, and custom dashboards tailored to individual client needs. To predict customer behavior, recommend personalized products, and optimize campaigns, we incorporate AI and machine learning in CRM data analysis. Our solutions provide real-time insights into customer behavior and market trends. These systems notify businesses about upselling or cross-selling chances in real-time when a customer is about to churn, offering immediate suggestions for action.

Alexander Suhov • 11 min read

Run Charts in Healthcare Data Analysis

Run charts, trend charts, and time series charts are essential tools for clear data visualization in healthcare analytics. They display data over time, revealing patterns and trends in healthcare settings. This article delves into the significance of these charts and explains how they can optimize data analytics processes in healthcare. At Belitsoft, we extend these insights by developing custom healthcare software equipped with advanced analytics and visualization tools to track and manage patient outcomes and workflows effectively. Keep reading to get the full scope of data’s role in enhancing healthcare decisions.

Alexander Suhov • 11 min read

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