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Thoughts on Medical Informatics

Thoughts on Medical Informatics. On Capturing Information about Medical Conditions. In today's post, I discuss Medical Conditions in some detail, with a focus on an important question: how do we best capture information about medical conditions as they evolve over time? I define a Medical Condition. So how do we best document the evolution of medical conditions over time? My thinking on this topic is heavily influenced by a very useful paper, which I encourage you to read. It's titled. It provides precis...

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Thoughts on Medical Informatics. On Capturing Information about Medical Conditions. In today's post, I discuss Medical Conditions in some detail, with a focus on an important question: how do we best capture information about medical conditions as they evolve over time? I define a Medical Condition. So how do we best document the evolution of medical conditions over time? My thinking on this topic is heavily influenced by a very useful paper, which I encourage you to read. It's titled. It provides precis...
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Thoughts on Medical Informatics | aolivamd.blogspot.com Reviews

https://aolivamd.blogspot.com

Thoughts on Medical Informatics. On Capturing Information about Medical Conditions. In today's post, I discuss Medical Conditions in some detail, with a focus on an important question: how do we best capture information about medical conditions as they evolve over time? I define a Medical Condition. So how do we best document the evolution of medical conditions over time? My thinking on this topic is heavily influenced by a very useful paper, which I encourage you to read. It's titled. It provides precis...

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aolivamd.blogspot.com aolivamd.blogspot.com
1

Thoughts on Medical Informatics: November 2016

http://aolivamd.blogspot.com/2016_11_01_archive.html

Thoughts on Medical Informatics. On Capturing Information about Medical Conditions. In today's post, I discuss Medical Conditions in some detail, with a focus on an important question: how do we best capture information about medical conditions as they evolve over time? I define a Medical Condition. So how do we best document the evolution of medical conditions over time? My thinking on this topic is heavily influenced by a very useful paper, which I encourage you to read. It's titled. It provides precis...

2

Thoughts on Medical Informatics: Improving the Study Data Tabulation Model

http://aolivamd.blogspot.com/2016/05/improving-study-data-tabulation-model.html

Thoughts on Medical Informatics. Improving the Study Data Tabulation Model. This post looks at some ways of improving the Study Data Tabulation Model. SDTM in its current state is too brittle. It is not flexible enough to accommodate new clinical data requirements efficiently. I have suggested in a previous post. These describe the major categories of data for a new and improved SDTM. Let's examine each in some detail. But exactly how do we leverage this model to improve the SDTM? The goal is to make.

3

Thoughts on Medical Informatics: August 2016

http://aolivamd.blogspot.com/2016_08_01_archive.html

Thoughts on Medical Informatics. Deciding When to Change the SDTM. I frequently come across proposals to change or upgrade the SDTM. Experience has shown that changes to the SDTM are a big deal. That hopefully will result in a more stable standard (see my previous post. We recognize that some change is inevitable, but change that can be accomplished through other means should be pursued. Stakeholders need a stable standard. Here are some working definitions:. Here I use the HIMSS definition. A good excha...

4

Thoughts on Medical Informatics: December 2015

http://aolivamd.blogspot.com/2015_12_01_archive.html

Thoughts on Medical Informatics. Aristotle and How Best to Define Things. The great challenge in automating analysis of biomedical data is the fact the people use different words for the same thing and the same word for different things. Having clear, unambiguous definitions, or semantics, is of course critical. I wrote a bit about this in a post on the Interoperability Problem. Also in a previous post. It turns out that the Open Biomedical Ontologies. Provides an Ontology for Biomedical Investigations.

5

Thoughts on Medical Informatics: Deciding When to Change the SDTM

http://aolivamd.blogspot.com/2016/08/deciding-when-to-change-sdtm.html

Thoughts on Medical Informatics. Deciding When to Change the SDTM. I frequently come across proposals to change or upgrade the SDTM. Experience has shown that changes to the SDTM are a big deal. That hopefully will result in a more stable standard (see my previous post. We recognize that some change is inevitable, but change that can be accomplished through other means should be pursued. Stakeholders need a stable standard. Here are some working definitions:. Here I use the HIMSS definition. A good excha...

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Thoughts on Interoperability – Reimagining Research

https://waynekubick.com/2016/02/03/thoughts-on-interoperability

Thoughts on Improving Clinical Research. February 3, 2016. February 3, 2016. Within the data standards community and especially among CDISC and HL7, the term interoperability is commonly espoused as a vision, mission and goal. For CDISC, the term refers to the ability of clinical studies to reuse data that originate as eSource from electronic health record (EHR) systems by pre-populating study CRFs through its Healthcare Link. And list of current medications. Of course interoperability is difficult.

waynekubick.com waynekubick.com

EHR eSource: Sword of Change? – Reimagining Research

https://waynekubick.com/2016/05/31/ehr-esource-sword-of-change

Thoughts on Improving Clinical Research. EHR eSource: Sword of Change? May 31, 2016. Note: Some of this material will be published in Applied Clinical Trials, June 2016. We, in the biopharmaceutical clinical research world, are creatures of habit, doing our jobs in a consistent, repeatable process, usually driven by SOPs and systems. Change comes slowly; old habits die hard. Would we dare to try? Describes different ways to transmit eSource data (from direct capture, devices, transcription, EHRs or PRO i...

waynekubick.com waynekubick.com

A Recipe from the SDTM Cookbook – Reimagining Research

https://waynekubick.com/2015/11/06/a-recipe-from-the-sdtm-cookbook

Thoughts on Improving Clinical Research. A Recipe from the SDTM Cookbook. November 6, 2015. November 9, 2015. In my earlier posting on SDTM as a Cookbook. I described an alternative approach for defining new domain models for use with CFAST Therapeutic Area User Guides. TAUGs). Based on an internal poll of SDS team members, there seems to be a desire to create many domain models (a predilection toward splitting, rather than the lumping approach I favor. Add any additional NSVs in the usual manner (.

waynekubick.com waynekubick.com

Services – Reimagining Research

https://waynekubick.com/services

Thoughts on Improving Clinical Research. After leaving CDISC as CTO as of October 2015, I began offering advisory and assessment consulting services to organizations in the clinical research industry (including sponsors, CROs, government/regulators, investors and technology vendors). Now that I’ve joined HL7 as full-time CTO, I’ve had to curtail work as a consultant. Please contact me at wayne@waynekubick.com for further information. Leave a Reply Cancel reply. Enter your comment here. View @WayneKubick&...

waynekubick.com waynekubick.com

HL7’s FHIR and BioPharma – Reimagining Research

https://waynekubick.com/2016/05/06/hl7s-fhir-and-biopharma

Thoughts on Improving Clinical Research. HL7’s FHIR and BioPharma. May 6, 2016. I’m finally beginning to get back in the swing of blogging, after a long hiatus getting ramped up at my new job as HL7 CTO. Here are a few thoughts on the HL7 FHIR standard, and how it may help reimagine clinical research in the Biopharmaceutical industry. EHR eSource: Sword of Change? Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Address never made public). HL7&#...

waynekubick.com waynekubick.com

Playing with FHIR® – Reimagining Research

https://waynekubick.com/2016/08/04/playing-with-fhir

Thoughts on Improving Clinical Research. August 4, 2016. August 17, 2016. A standard is not used because we created it. It is a standard because people use it. This familiar quote from Dr. Chuck Jaffe, CEO of HL7, could have been the motto for the inaugural FHIR Applications Roundtable. Meeting held last week at Harvard Medical School in Boston. As so many of the smiling attendees attested, this was indeed a very different kind of meeting. What was most impressive was that this roundtable only scratched ...

waynekubick.com waynekubick.com

The “Cubs Way” to Future Submission Data Standards – Reimagining Research

https://waynekubick.com/2015/10/29/the-cubs-way-to-future-submission-data-standards

Thoughts on Improving Clinical Research. The Cubs Way to Future Submission Data Standards. October 29, 2015. October 30, 2015. Even for those who don’t follow baseball, you must have heard something about the storybook year of the out of nowhere Chicago Cubs in 2015. No, they’re not going to win the 2015 World Series, but they made the Final Four, and somehow, that didn’t feel like losing this time around. Think long term with a plan. Keep meeting current needs (but only to a point). Fill in the missing ...

assero.co.uk assero.co.uk

Metadata and Layers

http://www.assero.co.uk/standards-for-eclinicial/metadata

Practical Metadata and Standards for Clinical Research. I have been wandering around over the last six months or so with a couple of pictures in my head that I have at last managed to commit to paper. The pictures in question try and explain why we would want to layer our metadata and through the layers link data standards and, ultimately, why the line between those standards may well begin to grey and ultimately may disappear altogether. Figure 1 - The flow of metadata. Figure 3 - The Metadata Layers.

waynekubick.com waynekubick.com

Dear CFAST:  Please Slow Down to Catch Up – Reimagining Research

https://waynekubick.com/2016/01/18/dear-cfast-please-slow-down-to-catch-up

Thoughts on Improving Clinical Research. Dear CFAST: Please Slow Down to Catch Up. January 18, 2016. January 20, 2016. A new year and many new things to think about in the greater world of research and healthcare, though there are still plenty of unfinished thoughts about CDISC to expound upon. In my last post, I tried to sum up my thoughts on SDTM. To addressing gaps in the model, especially for the CFAST Therapeutic Area User Guides (TAUGs). And today, I’d like to echo the slow food movement. Putting t...

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Thoughts on Medical Informatics

Thoughts on Medical Informatics. On Capturing Information about Medical Conditions. In today's post, I discuss Medical Conditions in some detail, with a focus on an important question: how do we best capture information about medical conditions as they evolve over time? I define a Medical Condition. So how do we best document the evolution of medical conditions over time? My thinking on this topic is heavily influenced by a very useful paper, which I encourage you to read. It's titled. It provides precis...

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