Posts Tagged ‘Lethal Lag Time’
Presentation at H2.0 Hospital Liquido Barcelona, June 12
June 14, 2012
Electronic Medical Records: From Clinical Decision Support to Precision Medicine
With an emphasis on lethal lag time and how EMRs can be used to bring new discoveries to medical practice more quickly.
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Presenting at H2.0 Hospital Liquido Barcelona, June 11-12
June 7, 2012
The themes of this conference, lead by Jorge Juan Fernández García, are:
- H ealthcare / Medicine
- I nnovation
- T echnology
- E ntrepreneurship
Electronic Medical Records: From Clinical Decision Support to Precision Medicine
February 24, 2012
This is a presentation I gave to the Dutch delegation to HIMSS. It reflects much of my current thinking about current and future trends in health IT.
Guest Blog Post on e-Patients.net
September 10, 2011
I was invited to write a guest post on the ONC Query Health initiate for e-Patients.net.
You can read it here.
Thanks to @ePateintDave for the enthusiastic invitation.
Share this:Time to Revamp Clinical Trials
April 25, 2010
In an editorial today in the New York Times, the editors call for major changes in how cancer clinical trials should be run. Just two facts are enough to document the problem:
- The average time between developing the concept for a study and getting it started is about 2.5 years.
- about 40 percent of all advanced clinical trials sponsored by the Cancer Institute are never completed
One of the recommendations is to reduce the number of cooperative groups and the levels of approval required.
In a related post on The Medical Quack, there is discussion of the clinical trial experience for the patient with an excellent video below.
In both cases what I hope we all come to realize soon is the lethal lag time – a articulate by e-patient White Paper – these long lead time for studies can prove lethal for those waiting for new treatments.
Share this:Google Public Data Explorer for Healthcare
March 16, 2010
Google recently released its public data explorer which combines the Google visualization tools with public datasets include population data and health data. For healthcare, the initial launch includes Sexually Transmitted Diseases in the U.S. and Cancer cases in the U.S. The charts allow selection by state and time options. For these two charts, CDC data sources are used.
So could this data explorer be used more broadly with other health data sets. For starters, those at Data.gov (although most of the health data sets are Medicare cost data). But could major disease registries open themselves up to this API so that medical researchers could visualize more data sources and generate more research questions more quickly. This could be one solution for the for the lethal lag time. The CDC has additional data sets available. But what about opening closed data sets, such as, those from the Society of Thoracic Surgeons or other disease-specific registries. Then there is the growing volume of patient reported data from sites like PatientsLikeMe and CureTogether.
The limitation of this approach is having researchers capable of interpreting these data visualizations to make meaningful interpretations. The peer review process would prevent publication of misinterpretations of the data. An additional control would be combining the data explorer with social networking tools for users to discuss visualizations and research observations of the data. Perhaps this could be accomplished through Google Wave.
Comments and data sets welcome.
Share this:Lethal Lag Time: Defining and Advocating
November 24, 2009
Lethal Lag Time is described in the in the e-Patient While Paper (page 87) in the context of bypassing the lag time by using patient-initiated research. But are there other ways to accelerate traditional clinical trials or provide other alternatives to answer research questions. A search of the term “clinical trial failures” yields only 7 results on Pubmed. Clinical trial recruitment yields on 29 results. Don’t we need more study of research to understand some of the problems in clinical trials, such as, failures and recruitment problems? Are there ways to examine each phase – protocol development, funding, recruitment, even publication etc.? The Obama administration is providing some DOD grants which are simple application processes and rapid decision cycles. Why can’t a similar program be applied to medical research grants?
Finally, is there a way to inject the urgency of a term like Lethal Lag Time into the medical research discussion including the professional literature? Not sure how we can do this but Participatory Medicine and e-Patient involvement are key. Watch for more blog posts on this topic.
