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On-Demand Webinar

Creating Time to Care with Ambient Intelligence (1 TT)


Education:
All Education
CEC Category:
Technology & Tools
Duration:
42 Minutes
Format:
Audio and Video


Tags: New HDIVC22


Description

Speaker:  Daniel Engel

Description:  Administrative tasks can consume more than 44% of a clinician’s day, with only 33% of time being focused on direct patient care. Clinicians often find themselves focused on the computer instead of the patient during visits and extra afterhours work, which leads to frustration and potential burnout that affects care quality and retention. Ambient intelligence and virtual assistant solutions can help limit the amount of time physicians spend interacting with the electronic health record (EHR), freeing up time to spend with their patients and families and creating a better care delivery experience. Equally critical, virtual assistant solutions can help drive documentation of the highest integrity, streamlined into a physician’s workflow at the point of care to allow documentation specialists to work at the top of their license. Join Daniel Engel, product director, 3M clinician solutions, to explore opportunities that transform the documentation experience to reduce costs, improve documentation integrity, and create time to care.

Attendees will learn: 
1.    Where ambient technology started, where it’s at today, and where we can expect it to go.
2.    What sets health care ambient technology apart and what problems it uniquely solves.
3.    Opportunities to maximize new technology investments.

Handouts

Speaker

Daniel Engel's Profile

Daniel Engel Related Seminars and Products


Daniel Engel is Director of Product Management for Clinician Solutions at 3M Health Information Systems (HIS). He is responsible for connecting the needs of clinicians to the capabilities of technology to reduce administrative burden, quell burnout, and improve the quality and cost of healthcare. With over 10 years of experience working with artificial intelligence (AI), natural language understanding (NLU), machine learning and speech recognition technology, Dan has led efforts to unlock the medical record with datamining search and discovery applications and real time physician engagement. Currently Dan is responsible for ambient documentation and virtual assistant solutions that provide a conversation interface with the electronic health record and allow documentation to be created as a byproduct of patient care.