geocoding

See the following -

2022 HL7 Working Group Meeting Continues to Advance a Public Health Agenda

The HLN Consulting team attended the HL7 36th Annual Plenary & Working Group Meeting (WGM) held in Baltimore, MD, September 17 – 23, 2022. More than 500 attendees, representing all aspects of the industry, were a part of the WGM in-person meeting after 2 years of virtual meetings. The seven day event started on Saturday with a weekend connectathon. This meeting offered an opportunity for attendees to come together and collaborate. It was a valuable meeting especially for people involved in standards development around healthcare. Read More »

3 Things To Know About Geomedicine

Jeff Rowe | Healthcare IT News | July 16, 2013

"Location, location, location" is a phrase that's long been associated with real estate, but in recent years it's also played a role in attempts by healthcare professionals to track disease. Now, some are putting health IT to work in adding location information – where patients have lived – into their EHRs. Read More »

DocGraph: Open Social Doctor Data

Fred Trotter | Strata - Making Data Work | November 19, 2012

An inside look at DocGraph, a data project that shows how the U.S. health care system delivers care. Read More »

Machine Learning in Healthcare: Part 3 - Time for a Hands-On Test

Every inpatient and outpatient EHR could theoretically be integrated with a machine learning platform to generate predictions, in order to alert clinicians about important events such as sepsis, pulmonary emboli, etc. This approach may become essential when genetic information is also included in the EHR which would mandate more advanced computation. However, using machine learning and artificial intelligence (AI) in every EHR will be a significant undertaking because not only do subject matter experts and data scientists need to create and validate the models, they must be re-tested over time and tested in a variety of patient populations. Models could change over time and might not work well in every healthcare system. Moreover, the predictive performance must be clinically, and not just statistically significant, otherwise, they will be another source of “alert fatigue.”

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MapBox Continues To Innovate, Improve With OpenStreetMap

Staff Writer | Directions Magazine | June 9, 2013

MapBox has a straightforward business model: take a good, open source solution; mix in open data and make a better map. It uses OpenStreetMap as a foundation to build open source mapping services that companies like Foursquare and USA Today find very appealing. Read More »