The sudden shift to remote healthcare, the surge of IoT-based devices for patient monitoring, and the growing preference for telehealth practices has led to a proliferation of data sources for the healthcare sector. However, harnessing that data to improve processes and derive value has been an uphill task.
Inefficient data management practices and complex, disparate care management platforms prevent health providers from getting deep insights into their care ecosystem and their patients’ health, leading to suboptimal processes and undesirable gaps in the healthcare ecosystem. The challenges are multifold:
due to lack of domain expertise for data interoperability and consolidation leads to unavailability of crucial data that could help healthcare providers take the right decision
do not account for localized and unique needs, leading to misinterpretation of data and therefore, inaccuracies in insights.
in the absence of simplified solutions, the complex nature of healthcare analytics and dashboard fatigue prevent healthcare providers from taking action on insights in time
Our solutions help healthcare organizations create scalable, simplified, and integrated data analytics and management processes that can provide operationalize data insights and help you provide the right care, at the right time, in the right way.
Make the right data available at the right time to take patient-centric intelligent decisions by accelerating the data lifecycle with our ML/AI healthcare solutions. Develop value-driven strategies for the new healthcare ecosystem and deliver enhanced patient experiences by turning data into actionable insights with our predictive models and scalable care management platform.
Get segmented insights leveraging ML/AI in healthcare to consolidate data from multiple sources into persona-based dashboards. Monitor healthcare KPIs and predict specific requirements of the population, so you can equip healthcare providers with relevant recommendations to improve clinical outcomes.
Data engineering and consultation services with our value chain accelerators enable customized end-to-end models that unify and simplify data from multiple sources to facilitate action. Our healthcare analytics consultants advise on, build, implement, and operate complex data platforms to help you act accurately on insights and identify new growth opportunities.
Our Data migration accelerators aid enterprises to unlock the power of their data and help migrate to a modern, cloud-native architecture. Tredence has a proven track record of helping global healthcare providers with large-scale data migration initiatives and accelerating modernization ROI by partnering with leading hyperscalers and data and AI companies. Our services and accelerators enable 50% faster migration and help achieve modernization goals of improved insights, increased productivity and self- service.
AI/ML-based predictive modeling services help you understand the population, anticipate their needs, and take proactive actions through accurate predictions. Reduce costs and enhance your healthcare services with advanced healthcare analytics and the global experience of our consultants who work with AI in healthcare environments.
Customized healthcare analytics solutions help you build platforms that efficiently manage data with our proprietary accelerators and measure custom healthcare KPIs. Create impact with insights our solutions extract from your data pool, helping you act decisively and on time.
Innovative solutions customized to bridge the gap between insights and action
Our solutions are designed to identify insights that create a pathway to action for patient-centric decisions. We also help you formulate strategies that enable you to drive impact across your healthcare value chain through effortless implementation.
Empowering care management teams
with models to identify risks for reduction strategies
Robust predictive algorithms
with full-stack development expertise to drive higher accuracy than industry standards
Healthcare-specific solutions
backed by our extensive experience in data science and industry experience across various LOBs