Archive for the 'Health and Life Sciences' Category
Ultimately there are certain minimum requirements that providers need to consider when evaluating a healthcare cloud provider. Without these considerations, providers will put their services at risk and fail to realize the full potential of cloud technology.
As we near the final phases of the HITECH Act in the coming months, I’m starting to see more and more news (and having first hand conversations) as to why this adoption curve is going so slowly—and how it’s really only the first step in providing greater access to clinical information.
This is part three in a series on cloud technologies in healthcare. You can read the previous two here. While many challenges have contributed to slow adoption of the cloud, there are equally as many benefits for providers to embrace this new technology across the enterprise. These benefits encompass both business and clinical areas. In [...]
This is the first in a series of posts discussing the role that cloud technologies play in the healthcare market.
With all of the talk around the cloud and healthcare’s increasing movement toward adopting cloud technology, there are some issues that any organization must ensure have been addressed that are unique to healthcare. It should be understood that it is because of these issues that some of the healthcare providers lag behind other industries in [...]
Back in 2008, Google launched its health platform – Google Health. It was an attempt to allow patients to control their own health record by uploading records to a Google site, and then granting privileges to their physician—thus making their health record completely portable. They even piloted this at Cleveland Clinic.
Renee Stacey, Senior Solutions Marketing Manager of Health and Life Sciences at HDS, accompanied me to RSNA 2011 last week. It was a great show, and Renee asked if she could contribute a recap for the blog. Take it away, Renee…
Unstructured data is a major challenge in the life sciences market. Unstructured data, by its very definition, is difficult to analyze as it doesn’t fit into a relational database. Pharmaceutical and biotechnology organizations live and die by their ability to analyze this unstructured data, and studies show that the average company makes decisions based on [...]
Being in the healthcare space my entire career, I had no idea what all the fuss was about when Big Data started to be the topic of the day. Sounded like a large file to me – mammography images can be 60Mb each – and aside from the potential joke about large mammo images, what [...]
Now I don’t like to steal titles or concepts from other companies but at my last company we had a concept of a Multi-site Maturity Model and I think the same “maturity model” concept works for healthcare and our cloud offering. It took a little while for this to kick in (thanks to my colleague Linda [...]