Weekly OHDSI Digest - 11Dec2017

MauraBeaton · December 11, 2017, 10:08pm

OHDSI MEETINGS THIS WEEK

Population-Level Estimation (Eastern hemisphere) workgroup meeting - Wednesday at 3pm Hong Kong time
https://meetings.webex.com/collabs/meetings/join?uuid=M6WE9AOKFETH2VEFPVCZWWBIT0-D1JL

Architecture Working Group - Thursday at 10am ET
Webex: https://jjconferencing.webex.com/jjconferencing/j.php?MTID=m3e1ceeca56f1e94c9fcf1ae98c10e02e

GIS working group meeting - Monday (December 18th) at 10am ET

Meeting Number: 735 317 239
Password: gaia

ANNOUNCEMENTS

State of the Collaborative Address - CALL FOR PARTICIPATION
We’re looking for volunteers to help present the 2018 State of the Collaborative address. We want to hear from you guys, what your experience of OHDSI was in 2017. Whether that was publishing papers, taking part in network research studies, developing software or simply joining the journey. We’re inviting volunteers to give short presentations about their OHDSI experience on the January 16th community call. If you’re interested in presenting, please fill in this short survey to let us know about your OHDSI experience and what’d you like to present:

Even if you’d prefer to not present, we highly encourage everyone to complete the survey and let us know how they participated in the community over the past year. During the address, we’ll be summarizing these results and highlighting everyone’s accomplishments.

Symposium Videos - Recordings from the symposium are now available here: https://www.ohdsi.org/past-events/2017-ohdsi-symposium-materials/2017-ohdsi-sympoium-videos/

Tutorial videos:
CDM - https://www.ohdsi.org/past-events/2017-tutorials-omop-common-data-model-and-standardized-vocabularies/
Population-Level Estimation: https://www.ohdsi.org/past-events/2017-tutorials-population-level-estimation/
Architecture: https://www.ohdsi.org/past-events/2017-tutorials-ohdsi-development-architecture/
Patient-Level Estimation: https://www.ohdsi.org/past-events/2017-tutorials-patient-level-prediction/

The Universe is under no obligation to make sense to you.

Neil deGrasse Tyson

COMMUNITY PUBLICATIONS

Generative Adversarial Networks for Electronic Health Records: A Framework for Exploring and Evaluating Methods for Predicting Drug-Induced Laboratory Test Trajectories

Methods for examining data quality in healthcare integrated data repositories.

ncbi.nlm.nih.gov

Methods for examining data quality in healthcare integrated data repositories.

V Huser, MG Kahn, JS Brown and R Gouripeddi, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 2018

This paper summarizes content of the workshop focused on data quality. The first speaker (VH) described data quality infrastructure and data quality evaluation methods currently in place within the Observational Data Science and Informatics (OHDSI) consortium. The speaker described in detail a data quality tool called Achilles Heel and latest development for extending this tool. Interim results of an ongoing Data Quality study within the OHDSI consortium were also presented. The second speaker (MK) described lessons learned and new data quality checks developed by the PEDsNet pediatric research network. The last two speakers (JB, RG) described tools developed by the Sentinel Initiative and University of Utah's service oriented framework. The workshop discussed at the end and throughout how data quality assessment can be advanced by combining best features of each network.

Addressing vital sign alarm fatigue using personalized alarm thresholds.

ncbi.nlm.nih.gov

Addressing vital sign alarm fatigue using personalized alarm thresholds.

S Poole and N Shah, Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing, 2018

Alarm fatigue, a condition in which clinical staff become desensitized to alarms due to the high frequency of unnecessary alarms, is a major patient safety concern. Alarm fatigue is particularly prevalent in the pediatric setting, due to the high level of variation in vital signs with patient age. Existing studies have shown that the current default pediatric vital sign alarm thresholds are inappropriate, and lead to a larger than necessary alarm load. This study leverages a large database containing over 190 patient-years of heart rate data to accurately identify the 1st and 99th percentiles of an individual's heart rate on their first day of vital sign monitoring. These percentiles are then used as personalized vital sign thresholds, which are evaluated by comparing to non-default alarm thresholds used in practice, and by using the presence of major clinical events to infer alarm labels. Using the proposed personalized thresholds would decrease low and high heart rate alarms by up to 50% and 44% respectively, while maintaining sensitivity of 62% and increasing specificity to 49%. The proposed personalized vital sign alarm thresholds will reduce alarm fatigue, thus contributing to improved patient outcomes, shorter hospital stays, and reduced hospital costs.

Semantics-Powered Healthcare Engineering and Data Analytics.

estone96 · December 11, 2017, 10:26pm

Hi Maura

I’m Yeesuk Kim (Hanyang unit. and UCLA)
Can you tell me the date and place of the 2018 OHDSI Fall symposium?
Thanks

Yeesuk

MauraBeaton · December 12, 2017, 7:46pm

Hi Yeesuk,

We don’t have a date yet for the next OHDSI Symposium. But our European meeting will be March 25th in Rotterdam and our 2018 F2F will be May 2-3rd in New York.

We’re hoping to finalize the date for the fall symposium in January and will make an announcement on the forums when it’s official.

Cheers,
Maura

estone96 · December 12, 2017, 8:03pm

Hi Maura

Thank you very much

Yeesuk