Tom Sullivan
Salesforce on Monday unveiled new functionality within its Health Cloud to address caps in care and help clinicians assess patients.
Health Cloud Care Gaps help hospitals monitor gaps in a patient’s care and communicate with patients outside the hospital setting via technologies including telehealth, said Joshua Newman, MD, Chief Medical Officer at Salesforce.
Closing gaps in care can improve health and clinical outcomes. “As long as care gaps are managed in systems that don’t let users reach out to people, there’s going to be a major chasm,” Newman said. “Having it in a single system means the gaps can be filled.”
Clinicians can use the new Health Cloud Assessments features to conduct a daily survey with patients to gauge, say, their level of pain or range of motion after a joint replacement surgery, for example.
The assessments can also include lifestyle, emotional response, health risks, patient activation, and other considerations.
“Our analytics are connected to all of this,. The assessment, clinical data can be drilled into to find patients that might need an intervention or a phone call, a follow-up,” Newman said. “With the combination of analytics, assessments and care plans were getting to a closed-loop system.
Salesforce is in Booth 7815.
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Email the writer: tom.sullivan@himssmedia.com
Analytics
Building on the success of its EMR Adoption Model, otherwise known as EMRAM, HIMSS Analytics is introducing new models for infrastructure and supply chain and expanding its Digital Imaging Adoption Model.
Much like EMRAM was a guidepost hospitals use when gearing up for an EHR go-live, the new models are designed to help users understand how to optimize infrastructure, supply chain and enterprise imaging.
“Early infrastructure models were built around EHRs and on-site data centers but as cloud, telehealth and personalized medicine continue advancing, the infrastructure demands on a hospital have changed,” said Blain Newton, Executive Vice President of HIMSS Analytics. “Being able to understand how to adapt to that from disparate locations and access patient generated data is a very different game than when all you had to do was setup a server farm.”
To that end, HIMSS Analytics built the Infrastructure Maturity Model, INFRAM, in collaboration with Cisco. Likewise, HIMSS Analytics partnered with Scan Health to create the H-SIMM.
“When you think of supply chain, the real value is integration with clinical systems to reduce variability and cost of care,” Newton said. “If you have that integration, hospitals can achieve all kinds of financial benefits immediately from reducing waste and variability and the long-term play is very significant impact on clinical effectiveness.”
Whereas INFRAM and H-SIMM are new models, HIMSS Analytics is working to bring its Digital Imaging Adoption Model (DIAM) to the United States and expand it to include Enterprise Imaging.
“With the advancement of imaging technology and infrastructure to support large-scale data storage and transport, and AI to automate interpretation of images, we’re seeing an explosion in this space,” Newton said.
Right now, leading systems such as the Mayo Clinic are leveraging heavy AI-enabled image reading and analysis but the question has become whether or not rural facilities can use technology, infrastructure and access to information in similar ways.
“You have to be setup from a technology and workflow perspective,” Newton said.
The new maturity models will be available in the summer of 2018.
HIMSS Analytics is in Booth 1338.
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