Blog Post
Do doctors fear AI? Not the hundreds I work with around the world
Headlines abound about doctors cowering from AI. The reality: not so much. I’m a physician, and don’t think that’s a realistic concern. Rather, I envision a future in which AI-enabled insights help health and medical experts deliver patient-centered, personalized, value-based care. The future is here. For those of us at IBM, we are augmenting experts’ […]
New York City Human Resources Administration Improves Application Process for SNAP
Like most human services programs, the New York City Human Resources Administration (HRA) was challenged by growing caseloads. They needed to find a way to improve service delivery while addressing increased caseloads. They decided to transform their screening tool, ACCESS NYC, so that multiple in-person visits to one of its offices would no longer be […]
Connecting Medical Imaging with Patient History through Cognitive Computing
Radiologists spend just one third of their time on image interpretation. For the majority of the day they are either supervising studies, performing image-guided procedures, teaching, in meetings, consulting with physicians, or directly caring for patients. Their work day is dynamic and full of interruptions, making effectiveness in the reading room an ongoing challenge. Being efficient […]
3 Ways Cognitive Computing Could Aid Value-Based Care
In this article, review key areas where cognitive computing could support care management efforts, including providing highly tailored insights about individual patients across an entire population, and helping providers more effectively address social determinants of health.
Visions, Values, and Strategies for Government Health and Human Services
When President Franklin D. Roosevelt announced his intention to create the Social Security program on 8 June 1934, it was not the first time that a government had formed a social insurance program designed to pay retired workers a continuing income after retirement. Germany, the United Kingdom and other countries were years ahead of the […]
Using Watson to Stay On Top of Cancer Care Data
In 2012, an estimated 14.1 million people were diagnosed with cancer worldwide, and my country, Slovakia, ranks 22nd in terms of overall cancer frequency. As the incidence of cancer continues to grow and time constraints on oncologists intensify, the need for research and treatment innovation is more important than ever. The good news for patients […]
Watson and Cancer:
Get the Facts
Watson for Oncology is helping care teams surface relevant data points from the ever-expanding medical literature, bridging disparate sources of clinical information and helping to identify treatment options for their patients, providing a far more personalized and patient-centric approach to the delivery of care.
Care Management: A New Cognitive Paradigm
This white paper describes an ideal care management solution that would not only be able to connect all the dots that constitute the determinants of health, but would also surface personalized insights that could enhance care and help activate individuals to self-management.
Risk Stratification – Lessons Learned
Nirav Vakharia, MD, Associate Chief Quality Officer of Enterprise Quality and Vice Chairman of Population Health at Cleveland Clinic explains the rationale for clinical risk stratification, guidance on how to better identify and define chronic disease cohorts, and the impact on quality and utilization.
Interoperability in the Age of Population Health Management – Part 2
In part one of this two-part series, we explored the issues pertaining to data integration. In part two, we explore workflow integration. In addition, we look at technology known as Fast Healthcare Interoperability Resources (FHIR), and how it will facilitate the integration of outside applications with electronic health records to support population health management.
Cognitive Computing in IBM Watson Health: Research and Development
Listen to the replay of this webinar "Cognitive Computing in IBM Watson Health: Research and Development" with Eric Brown, PhD, Director Foundational Innovation at IBM Watson Health and Jianying Hu, PhD, Distinguished RSM and Senior Manager, Center for Computational Health at IBM Research.
Interoperability in the Age of Population Health Management – Part 1
This two-part series reviews how today's technology can address challenges in data infrastructure
The Impact of the Cloud in Healthcare, Today and Tomorrow
In a world of increasingly connected patients and devices, the global healthcare and life sciences community has a renewed – and some would say sharpened – focus on improving patient engagement and health outcomes. As a result, many are exploring how an enterprise health cloud can support these efforts. What are they looking for? Health […]