Analytics

by Brian Murphy | September 18, 2019

The Wisdom of User Conferences

After attending Health Catalyst's Health Analytics Summit (HAS19) last week, I must face the reality that user group meetings give me both vertigo and hope. Vertigo because it turns out I know a lot less about healthcare than the accumulated knowledge and wisdom of my fellow conferees. Hope because, despite the scale

by Alex Lennox-Miller | September 05, 2019

Epic UGM 2019: Blasts from the Past and a Look into the Future

Last week, Chilmark Research attended the Epic Systems 2019 Users Group Meeting (UGM) in Verona, Wisconsin. On Epic’s 40th anniversary, we received a full history of the company’s growth, a glimpse into where it's headed, and how it sees the future of healthcare and health IT evolving. As always, it

by Jody Ranck | July 23, 2019

Precision Medicine: New Data, New Challenges, New Insights

Precision medicine (PM) is of growing importance in healthcare and was the focus of a major push by the Obama Administration through the Precision Medicine Initiative (PMI) launched in 2015. Chilmark uses Ferryman and Pitcain’s definition of precision medicine as the “effort to collect, integrate, and analyze multiple sources of genetic

by Chilmark Team | July 17, 2019

NLP Use Cases for Healthcare Providers

  In the rush to digitize the business and practice of healthcare with minimal disruption to clinical workflows, up to 80 percent of captured data is unstructured. This data represents a wealth of potentially valuable information, but its accumulated scale makes it impractical for providers to use it in everyday

by Chilmark Team | June 18, 2019

Algorithmic Intelligence: Marketing Claims vs. Capabilities

Chilmark Advisory Services Analytics Domain Monitor (January 2018) By Ken Kleinberg and Brian Edwards As artificial intelligence (AI) and machine learning (ML) gain traction in healthcare, marketing hype has increased. Healthcare organizations can vet and verify vendor claims against best practices by using operational definitions, gaining visibility into the model

by Chilmark Team |

Seeking ROI in Artificial Intelligence and Machine Learning

Chilmark Advisory Service Analytics Domain Monitor (December 2017) By Ken Kleinberg and Brian Edwards Artificial intelligence (AI), especially the sub-area of machine learning (ML), offers the healthcare industry the potential to increase the productivity of clinicians and support staff. Big Data, rapidly decreasing costs for distributed computing infrastructure, and more

by Alex Lennox-Miller | April 12, 2019

AI & ML in Healthcare: Part of the Toolkit for Administrators and Clinicians

This past week, clinicians, researchers, administrators, and entrepreneurs came together for the 2019 World Medical Innovation Forum in Boston hosted by Partners HealthCare Innovation. The focus was the present and future of artificial intelligence (AI) in healthcare.

by John Moore | April 08, 2019

Beyond a Thousand Clicks

On March 18th, Kaiser Health News (KHN) and Fortune published https://khn.org/news/death-by-a-thousand-clicks/, a deep expose into all that has gone wrong with the adoption of Electronic Health Records (EHR) across the physician landscape in the U.S. The article was well researched – it is a good piece of journalism. But are
View More >>

Stay up to the minute.

Did You Know?
[bestwebsoft_contact_form]