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Turning Chaos into Clarity: Mastering Unstructured Healthcare Data with AI

Healthcare providers manage an enormous volume of data daily, approximately 137 terabytes, most of which is unstructured. This includes a wide array of formats such as medical images, clinical notes, and genetic test results. Unstructured data, crucial for patient care, poses significant challenges due to its complexity and the varied sizes of its components. The volume of healthcare data is rapidly increasing, fueled by the widespread adoption of electronic health records and advances in medica

Published: July 17, 2024
# Data Science
# Healthcare
From Insights to Action: The Role of Predictive Analytics in Business Transformation

Predictive analytics uses historical data and techniques like statistical modeling and machine learning to predict future outcomes. It provides accurate forecasts, helping organizations predict trends and behaviors from milliseconds to years ahead. The global predictive analytics market was valued at 14.71 billion U.S. dollars in 2023 and is projected to grow from 18.02 billion U.S. dollars in 2024 to 95.30 billion U.S. dollars by 2032, with a compound annual growth rate (CAGR) of 23.1% during

Published: June 12, 2024
# AI / ML
# Big Data
# FinTech
# Healthcare
# Manufacturing
# Marketing
# Retail / E-commerce
SciForce medical team attended  OHDSI Symposium 2023
2023 OHDSI GLOBAL SYMPOSIUM

Since 2015, Sciforce has been an active contributor to the OHDSI scientific community. Our medical team is consistently at the forefront of OHDSI events, sharing groundbreaking research and driving advancements in health data harmonization that empower better health decisions and elevate care standards. The fall event was no exception: from October 20 to 22 Polina Talapova, Denys Kaduk, and Lucy Kadets were delegated as our company representatives to the Global OHDSI Symposium with more than 440

Published: November 1, 2023
# Healthcare
# Data Science
# AI / ML
The Launch of the Toxin Vocabulary: Our Solution to the Medical Research Complexity

In such an evolving Medical field, the synthesis of reliable and insightful data is a basis for making innovation and progress possible. With its global adoption, the Observational Medical Outcomes Partnership Common Data Model (OMOP CDM) has been an important tool for advancing drug safety monitoring and healthcare outcome prediction. However, it has a gap in the representation of toxic substances and environmental exposures, an aspect central to deepening our understanding of their impacts on

Published: October 3, 2023
# Healthcare
Digital Health Landscape 2023: Trends and Insights Shaping the Future

In the time of a fast-developing world, which is full of innovative decisions, many sectors shine with potential, and one of them is digital health. Members of our medical team, who were privileged attendees at events such as the MedInfo 2023 congress, European OHDSI and APAC symposiums, are truly happy to share their exclusive insights from those conferences with you in this article. So, welcome to a future of healthcare — vibrant, digital, and full of exclusivity. In such a transformative era

Published: August 29, 2023
# Healthcare
OHDSI Global Symposium 2022

For seven years, the SciForce team has been an active member of the OHDSI scientific community, whose mission is to improve people’s health by empowering the community to obtain evidence-based knowledge that contributes to better decisions in healthcare. In this regard, representatives of our medical team, namely Polina Talapova, Eduard Korchmar, and Denis Kaduk, attended the three-day Global OHDSI Symposium held in North Bethesda, Maryland, USA, on October 14–16, 2022. They heard many fascinati

Published: October 28, 2022
# Healthcare
How Sciforce steals the show at the 3rd European Observational Health Data Sciences and Informatics…

From June 24 to 26, Mariia Kolesnyk, Eduard Korchmar, and Polina Talapova have been delegated as representatives of Ukrainian IT company SciForce to the third European Observational Health Data Sciences and Informatics (OHDSI) Symposium held in Rotterdam, the Netherlands. As a panel discussion, Mariia presented a project on the Integration prospects of the Ukrainian healthcare system with OMOP CDM to generate reliable evidence for decision-making during and after the war. Moreover, she shared in

Published: July 15, 2022
# Healthcare
SciForce is now the European Health Data and Evidence Network (EHDEN) certified partner

We are pleased to announce that SciForce is now the first and only enterprise in Ukraine that became the certified partner of the European Health Data and Evidence Network (EHDEN). Thus, we contribute to the wider Observational Health Data Sciences and Informatics (OHDSI) initiative to take advantage of large-scale health data analytics. This step brings us into the community of 47 European SMEs delivering their expertise in health data, data standardization, and interoperability. Read on for de

Published: January 17, 2022
# Healthcare
Top 5 Medical Specialties Most Interested in Telehealth

Telehealth has skyrocketed under the pandemic worldwide. Currently, 46% of visits are delivered online, and 76% of consumers are interested in telehealth, as McKinsey experts state. Compared with 2019, when burdened with legal regulations, it was reaching about 11% of usage among US patients. We present a detailed analysis of the most promising medical specialties integrating telehealth in the US. See what healthcare providers have implemented already and what changes are coming. Telehealth is l

Published: April 6, 2021
# Healthcare
AI and ML in the European Pharmaceutical Industry: Recent Applications, Challenges, and Response…

Innovations in the pharmaceutical industry proved to be a tall order, as drug development’s success rate has been traditionally tremendously low. However, the COVID-19 pandemic whipped up R&D centers, markets, and leaders to develop the response to the crisis faster than ever. AI and ML bring to the table a toolbox to overcome new challenges in the whole industry. Significant that the Healthcare Artificial Intelligence market is expected to reach* **$51.3 billion by 2027 at CAGR (compound annual

Published: March 30, 2021
# Healthcare