IBM Health Data Connect
Accelerate healthcare transformation with smarter insights from data, analytics and artificial intelligence
Accelerate healthcare transformation with smarter insights from data, analytics and artificial intelligence
Overview
IBM® Health Data Connect is a progressive approach from IBM Watson Health® to help customers, partners and developers co-create interoperable solutions for smarter health. It’s designed to make it easier to bring together data from any source, enable the creation of intelligent health records, and support the use of healthcare analytics and artificial intelligence.
Factors, such as increasing consumer expectations, mounting regulatory pressure, and a growing interest in new and emerging technologies, are driving data and AI transformation in healthcare. Health Data Connect is designed to help organizations meet this disruptive moment by enabling solutions for personalized care, population health, consumer engagement, clinical trial execution and more.
Use capabilities built on Red Hat® OpenShift® to flexibly support hybrid and multi-cloud IT environments.
Leverage open standards that enable collaboration, faster time to market and easier integration.
Focus on improving healthcare quality and reducing costs with smarter insights from disparate data.
Access rich data, analytics and AI capabilities to support pharmaceutical, biotechnology and medical device product development.
Bring disparate data together to better understand your community and improve the efficiency, delivery and quality of social programs and services.
Enhance system interoperability so you can improve member experiences and comply with regulations.
Tap into technologies that make it efficient to improve healthcare delivery, experiences and operations.
There are portable, modular capabilities that make it easier to combine and standardize disparate data, such as claims, clinical, population and scientific data.
There are data and technologies to help assemble longitudinal views of individual and population health in support of healthcare innovation.
Ready-made, healthcare-specific analytics and AI modules can support better performance and lead to cost efficiency as well as time savings.
Open source
Watson Health is setting a new standard by embracing open source development and standards. Health Data Connect taps into Alvearie, which is a Watson Health-sponsored open source initiative that’s helping developers solve challenges related to health data interoperability and accessibility.
Process and store healthcare data in the standard FHIR format with this open-source solution.
Extract key clinical concepts, like symptoms or medications, from clinical notes and other unstructured text.
Take a smarter approach to managing healthcare programs with insights from advanced analytics.
Develop a strong interoperability strategy that exceeds user expectations for privacy and consent.
Analyze, visualize and create reports on complex data without advanced programming skills.
Make informed, data-driven decisions related to employee health and day-to-day business operations.
Provide fast, dynamic and personalized interactions at scale to assist and support your members.
Strengthen your go-to-market strategy with real-world data, analytics and outcomes research.
Manage consent requests, securely share health data and automate audit trails to help meet security and privacy needs.
How can healthcare organizations achieve meaningful interoperability?
See why interoperability is essential for healthcare organizations and how they can take steps to achieve it.
4 reasons to join Alvearie
A Watson Health-sponsored open source project seeks to help developers effectively use data to big healthcare challenges.
3 strategies for health data success
Healthcare payers are investing in new approaches to data to get bigger returns from interoperability investments.
With analytics, healthcare can get more from its investments in FHIR
FHIR can open new possibilities for healthcare organizations to learn and gain insights from their data.
Beyond the interoperability mandate
Two experts discuss why healthcare organizations should consider going beyond what’s mandated for interoperability.
5 examples of using social determinants
Adding social and demographic data to claims and clinical data sets can help providers, payers and policymakers improve public health.
Explore Health Data Connect capabilities and use cases with an IBM representative.