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September 2017

MNCM Q&A Session

September 21 @ 12:00 pm - 12:30 pm

Q&A sessions are an opportunity for medical groups and staff to ask questions related to measure development and data submission and for MNCM staff to share relevant and timely information about measures and data submission timelines. •View list of 2017 Q&A topics Dial in: 1-800-220-9875 Passcode: 23360576 12:00 to 12:30 pm 3rd Thursday of every month

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October 2017

MNCM Q&A Session

October 19 @ 12:00 pm - 12:30 pm

Q&A sessions are an opportunity for medical groups and staff to ask questions related to measure development and data submission and for MNCM staff to share relevant and timely information about measures and data submission timelines. •View list of 2017 Q&A topics Dial in: 1-800-220-9875 Passcode: 23360576 12:00 to 12:30 pm 3rd Thursday of every month

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November 2017

MNCM Q&A Session

November 16 @ 12:00 pm - 12:30 pm

Q&A sessions are an opportunity for medical groups and staff to ask questions related to measure development and data submission and for MNCM staff to share relevant and timely information about measures and data submission timelines. •View list of 2017 Q&A topics Dial in: 1-800-220-9875 Passcode: 23360576 12:00 to 12:30 pm 3rd Thursday of every month

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December 2017

MNCM Monthly Q&A Session

December 21 @ 12:00 pm - 12:30 pm

Q&A sessions are an opportunity for medical groups and staff to ask questions related to measure development and data submission and for MNCM staff to share relevant and timely information about measures and data submission timelines. •View list of 2017 Q&A topics Dial in: 1-800-220-9875 Passcode: 23360576 12:00 to 12:30 pm 3rd Thursday of every month

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September 2018

MNCM Annual Seminar 2018

September 12, 2018 @ 8:00 am - 5:00 pm
Earle Brown Heritage Center, 6155 Earle Brown Drive
Brooklyn Center, MN 55430 United States
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The largest quality measurement event in the region, this seminar is designed for a variety of individuals involved in health care quality measurement, reporting, analyzing and using clinical quality, health care cost or patient experience information to meet a variety of needs, requirements and to improve care.

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