Showing posts with label Education. Show all posts
Showing posts with label Education. Show all posts

2014-03-03

Scholar Medical Publication DIY by Harvard Medical Students


If, as F. Scott Fitzgerald is reported to have said, action is character, then the current crop of Harvard medical students are impressive characters. Amid all the din about who controls publication, open access and shortening the loop between academia  and public dissemination, a small group of determined individuals have just come out with their premiere issue of Harvard Medical Student Review. Considerable forethought, extensive deliberations with HMS leadership and creative talent have produced what is likely to become an authoritative voice for medical students and those interested in medical education and science.  In the words of the student publishers themselves:

Today we are introducing the Harvard Medical Student Review, an online journal that will serve as a forum for students to participate in the conversations on healthcare and medicine. Our classmates here and around the world come from innumerable backgrounds, rich in thought-provoking experiences; we have much to share. Topics may range from research to reflections on training and experiences with patients. We hope that through writing and reflection, we can spark productive debate, generate innovation, and learn from one another at the beginning of our professional education and careers.
As members of the medical community, we have a duty to review the facts and communicate the truth with clarity, precision, and humanity. In his address at the 2012 Harvard Medical School commencement ceremony, Dr. Don Berwick called upon new physicians to wield their voices proudly in carrying out this duty, as each voice “can be loud, and forceful, and confident, and will be trusted.” [2] The Harvard Medical Student Review is a space for students, trainees, and professionals to answer that call.
We hope you will join us.


2013-10-18

Help get more women into Science

There is a problem that is well articulated by one of our students, Jean Fan. To quote her:

According to the US Department of Commerce, girls (women, females, Homo sapiens with two X chromosomes, whatever term you wish to use to refer to us) remain vastly underrepresented in STEM jobs as well as among STEM degree holders. Despite filling nearly half of all jobs in the US, girls hold less than 25% of STEM jobs. And despite the rising number of girls pursuing college degrees, girls hold a disproportionally low share of STEM degrees. So what's the problem?

After articulating the problem, she provides an ingenious kickstarter project that seeks to make a small contribution to addressing this problem. I recommend you join me in supporting this project.

2012-02-10

Origin of The Theses

For those of you in the throes of defining your doctoral theses, there are some wise words from Enrico Coeira from UNSW which can help you move to the end game. Here is the relevant Twitter stream.

2011-12-14

Alternative Senior Rounds 2011

Let us re-imagine senior rounds for the 21st century.

What I am about to describe does not require any new technologies or biomedical insights; it requires merely a different use of existing resources, different emphases in training and a national focus on the real-time use of clinical data as the evidentiary basis for clinical decision-making.

Senior rounds, in which the department chair meets with the senior residents to review the cases and processes of the prior day, are a decades-old tradition in medicine, and a valuable one. But as currently practiced in most residency programs, each senior resident reporting from their written notes or electronic health record system, the rounds fall far short of what they could be. Here, I offer an “alternative reality” for senior rounds, in hopes of catalyzing a discussion about why it is not the standard of care today. As the citations attest, the findings and techniques described here are all already available. So what are the principal obstacles then to the realization of this scenario?

Soma looked around the table, picking out the Seniors whom he would ask to give reports. He glanced at the screen to the side of the conference table listing the admissions and discharges of the prior day, wait times in the emergency department, diagnoses, and laboratory work ups.

He turned to Charles. “I see you admitted a 2-month-old for ‘rule-out’ meningitis but those laboratory results don’t look particularly worrisome.” Charles nodded but directed his tablet to throw up a local map with 5 red “X”s on the room’s screen1.

“I thought so too,” Charles said, “but the intern pointed out to me the 5 cases of N. meningitis detected in the last week by the State Department of Public Health, including one case in the same day-care center as this infant, so we thought it was prudent. We’re going to wait for culture results.” 2

Soma grunted non-committedly and moved on to Dolores: “I heard you had a little argument with the diabetes service over the discharge of Mr. Smith. Care to share what happened?”

Dolores gave him a quizzical look for this ‘softball.’ “Yes, they were quite emphatic about switching Mr. Smith to a different oral hypoglycemic agent. I argued that its safety profile was far from as well established as the generics in the same structural drug class, and shared several publications with them that made the same point. But it’s only when I showed them that the risk for myocardial infarction, over the last four years, at our hospital was 50% higher for that drug as compared to others that they relented,” 3.

Soma looked at the curve of the myocardial infarction incidence of the drug in question, portrayed in red, and the six green lines showing the myocardial infarction incidence in the same hospital for the other oral hypoglycemic agents. The red curve rose above the green curves, well beyond the reach of their error bars.

He surveyed the seniors and returned to Dolores with a conspiratorial raised eyebrow. “You might want to share with the diabetes service that the FDA just reviewed these data and 20 data sets like it from other academic health centers. They all pointed in the same direction, and when they then reviewed the post-marketing data from the pharmaceutical company manufacturing the drug, the same trend was apparent. Chalk one up for evidence-based medicine. Speaking of which, Harvey, Mrs. Jones’ s headache ended up looking like a glioma on imaging. What are you telling her and her primary care provider about prognosis?”

Harvey directed the screen to replace the map with three graphs. “We’re scheduling the biopsy but it does look like Glioblastoma Multiforme (GBM), less than 2 cm in its largest dimension. The graph on the right shows the outcomes obtained at this hospital over the last 15 years for patients presenting with headaches not attributable to mass effect, like Mrs. Jones. The graph in the middle shows the other patients with GBM at this hospital without this ‘incidental’ presentation. The graph on the right suggests a better outcome but this might be due to the location of these incidental tumors. 4Regardless, it’s a tough prognosis but I shared this perspective with Mrs. Jones and her doctor. By the way, for reference you can see the national outcomes on the leftmost graph and you can see that ours are on average about 20% better as measured by survival times.”

Soma shared the slightest of winks and gestured towards Virginia.

“What about the infant you had discharged from the newborn service a week ago? I see that she was readmitted last night.” Virginia, looked up from the muffin that she had been steadily deconstructing, “Yes, that was unfortunate but not completely unexpected. We had not found any cause for the earlier episode of ventricular tachycardia in the first day of life. Because the tachycardia resolved spontaneously within 20 minutes, we decided to observe for another 72 hours. As there was no recurrence and no structural anomalies of the heart on imaging, we discharged the infant with a follow-up appointment with cardiology for a month from now. The ventricular tachycardia event did trigger an automatic rule from our electronic health record system (EHR) 5,6 which recommended a genetic screen for mutations in the depolarizing sodium and/or calcium channels. We checked the genotyping results on readmission and they are positive for a mutation in a calcium channel—CaCNB2b7—that was found in over one hundred children with ventricular tachycardia as per the National Registry and in no control cases. And by the way, as per our EHR data warehouse this is the fifth case in the last decade in our hospital alone. Although we were able to convert the infant back to sinus rhythm within 10 minutes, the cardiology service is considering use of an implantable cardioverter-defibrillator because of the chanelopathy.”

Soma interjected “Wasn’t the QRS interval abnormal after the first episode?” Virginia flicked the ECG from the EHR view on her tablet to the conference room screen. “No, as you can see, it was not, and there are several similar reports from the literature.” She followed by displaying several PubMed abstracts describing cases of normal ECG in infants with a chanelopathy.

Soma, turned towards the Chief Resident, “Mary Lee, are we going to have enough beds to keep up with all the activity in the ED?”

This question was asked so often that Mary Lee had already displayed the current bed census, as well as the projected lengths of stay based on several morbidity indices and predictors, on the conference room’s screen. “We’re in good shape. Worst case scenario still gives us 32 free beds by noon today8,9. Even with seasonal adjustment for influenza 10 we have at least 8 free beds including 2 in the ICU by the time the evening shift ends. That’s within the 95% confidence interval.”

Charles was glancing repeatedly at the smartphone he kept mostly hidden under the conference table.

“Is there a problem?” Soma asked, girding himself to deliver his well-worn diatribe on the distractions of modern communications.

Charles, stood up, pointing at the smartphone “Actually, there is. The ventilation requirements for one of the preemies is trending higher and the attending pediatrician is suggesting a caffeine infusion but I don’t think it is warranted based on the data. I had better go and check in with the team to see if they are on top of it.” 11

Soma leaned back with a smile. “I should warn you against ‘dismissing long-established clinical opinions without understanding the basis for their existence’12. But go ahead, rounds are over.”

(Thanks to Carey Goldberg for very constructive comments)

1.         Brownstein JS, Freifeld CC, Madoff LC. Digital disease detection--harnessing the Web for public health surveillance. N Engl J Med 2009;360:2153-5, 7.

2.         Fine AM, Nizet V, Mandl KD. Improved diagnostic accuracy of group a streptococcal pharyngitis with use of real-time biosurveillance. Annals of internal medicine 2011;155:345-52.

3.         Brownstein JS, Murphy SN, Goldfine AB, et al. Rapid identification of myocardial infarction risk associated with diabetes medications using electronic medical records. Diabetes Care 2010;33:526-31.

4.         Potts MB, Smith JS, Molinaro AM, Berger MS. Natural history and surgical management of incidentally discovered low-grade gliomas. J Neurosurg 2011.

5.         Ullman-Cullere MH, Mathew JP. Emerging landscape of genomics in the Electronic Health Record for personalized medicine. Human mutation 2011;32:512-6.

6.         Overby CL, Tarczy-Hornoch P, Hoath JI, Kalet IJ, Veenstra DL. Feasibility of incorporating genomic knowledge into electronic medical records for pharmacogenomic clinical decision support. BMC bioinformatics 2010;11 Suppl 9:S10.

7.         Kanter RJ, Pfeiffer R, Hu D, Barajas-Martinez H, Carboni MP, Antzelevitch C. Brugada-Like Syndrome in Infancy Presenting with Rapid Ventricular Tachycardia and Intraventricular Conduction Delay. In: Circulation; 2011.

8.         Mackay M, Lee M. Choice of models for the analysis and forecasting of hospital beds. Health Care Manag Sci 2005;8:221-30.

9.         Littig SJ, Isken MW. Short term hospital occupancy prediction. Health Care Manag Sci 2007;10:47-66.

10.       Reis BY, Pagano M, Mandl KD. Using temporal context to improve biosurveillance. Proceedings of the National Academy of Sciences of the United States of America 2003;100:1961-5.

11.       Larkin H. mHealth. Hosp Health Netw 2011;85:22-6, 2.

12.       Weiss S, Hatcher RA. Tincture of digitalis and the infusion of therapeutics. JAMA 1921;76:508-13.

2011-12-09

Insignificant significance

An amusing look at correlation. Less amusing when you realize that this kind of analysis is often used to drive public debate. Hat tip: Carey Goldberg

etc_correlation50__01__960

2011-11-04

Conflicts of interest and the need for expertise.

Ben Adida reflects here on Lessig and makes an interesting point about what might be lost if we do not listen to experts (in vaccine efficacy in this instance) even if they are in conflict of interest.

2011-09-26

Take two aspirin and an algorithm and call me in the morning.

This note from the American Medical Association nicely summarizes the recent approval of certification in Clinical Informatics by the American Board of Medical Specialties. It represent the closest encounter between clinical training and librarianship to date. We'll see what it portends for relative compensation.

2011-01-26

Graduation in Five Years

from a doctoral program in the life sciences is a reasonable goal, under most circumstances. For some unfortunates, it is not. Prospective students should make sure that they have the key bits of information required to decide if and where to proceed with a specific graduate program. If you are already in graduate school at Harvard University, you might want to consult with some of the faculty who are knowledgeable mentors.

2010-07-08

What are they checking out at Harvard Medical School?

Enterprising souls at the circulation desk of the Countway Library of Medicine have provided this Twitter feed on the books being checked out (http://twitter.com/hrvrd_med_out). See how studious your colleagues are?

2010-03-24

Who's Gonna Pay for these Journals?

Town Hall Meeting: Who’s Gonna Pay for these Journals?

2:00-3:30 PM

Thurs., April 8, 2010

TMEC, Walter Amphitheater

Harvard Medical School


Scholarly Communication is broken.


Your access to articles in Brain Research, Tetrahedron Letters, Cell, Nature publications, and other leading journals in every discipline is paid for to the tune of millions of dollars per year by Harvard libraries.


Journal costs are skyrocketing and free market processes are failing to control costs--STM publishers can charge what they want without regard to value because they have a monopoly on the content that you have given them.  More and more you will be seeing "This article is not included in your organization's subscription " because libraries can no longer afford to buy back the content that has been freely given to the publishers. Commercial publishers make up to 40% profit on work produced here at Harvard and other research institutions. How can we establish some control over these costs and at the same time make it easier for you to regain control of your rights to use your own work?


Come to a Town Meeting and discuss what we can do to fix scholarly communication!

2010-03-08

the new conditions of the Harvard Medical School promise to be as nearly ideal as the forethought of man can plan

or so it says in this 1905 article from Popular Science now available to all through the Popular Science archive viewer (courtesy of Google). Worth reading also for many wonderful quotes including "A medical student so trained [ in regularly reading selected up-to-date publications] in the use of medical literature can hardly be content to depend on antiquated text-book knowledge in his practise in after years." Amen. But do our students currently know how to (and have the culture) get up to date genetic and genomic relevant knowledge from the web? Perhaps our libraries can continue to lead in this regard.

Popsci1905

2010-01-26

Biomedical science is not a game for the young?

The National Institutes of Health have helpfully posted summary information about their funding patterns. It is much more revealing of the training patterns and mentoring of young investigators at our academic centers than any specific NIH policy. It is evident that whatever your terminal degree, your age at first R01 is 42-44, a full 10 years older than the age of first R01 in 1970. PhD's only are 2 years younger on average than MD's and MD-PhD's are remarkably no older than the MD's (which was not the case in 1970). What does this say about the capability of our research workforce to be energetically innovative? Are we drawing from the right pool of investigators or is there something fundamentally wrong in the institutionalized career path leading to an R01?


AgeofInvestigator

2010-01-25

Who are the right practictioners of medicine?

This report from Haiti is a reminder that doctors are not always the answer to a healthcare need. We might be well-served by a national discussion of what are the properties of healthcare practitioners that we believe we are seeking to maximize and whether these are well matched to our needs as a society and as patients. It is a discussion which will also inform budgets.

2010-01-15

Positive Peer Pressure

Can we use Internet-borne viral messages to counter biological viruses? Our very own Ben Reis is recognized by HHS Secretary Kathleen Sebelius for his Facebook application:

The “I’m a Flu Fighter” Facebook application takes users through four steps. In the first step, “Choose My Character,” users choose between a superhero, a doctor, a virus behind bars, or a cartoon syringe to represent themselves as a flu fighter. Then, users set their status by sharing whether they got the flu vaccine or plan to, and how it was (Could be better, Fine, Good, Great!). Next, users can send invites to their friends challenging them to get vaccinated. Lastly, users are taken to a page with resources about flu such as the flu vaccine locater. The visibility of users’ information as Flu Fighters is controlled by users through their privacy settings.

2009-11-12

Normality, expertise and fairness.

Who is more knowledgeable? The physician who remembers more diagnostic tests than any other physician or the physician who is the quickest and most savvy at online searching for the relevant tests? Who is the most technically expert surgeon? The one who has the most nimble fingers and the sharpest eyes or the one who can make herself most comfortable with robotically assisted micromanipulators? This story taken from athletics suggests that we are going to be uncomfortable with some of the answers to these questions for many years to come.

2009-07-22

Distortions, biases, amplification and invention in the biomedical literature.

The telephone game that many of us played as children showed the amusing side of how indirect communication can lead to distortion of the original message. Steve Greenberg has written an eye opening article in the British Medical Journal describing how he followed the entire citation network for a particular claim (that β amyloid, a protein accumulated in the brain in Alzheimer’s disease, is produced by and injures skeletal muscle of patients with inclusion body myositis) that in a medical analog of the telephone game resulted in the subsequent adoption of questionable "facts" as medical conventional wisdom. He also shows how, much like websites trying to increase their Google Pagerank, there arise mutual citation networks that will increase the acceptance of their joint claims. One of the lasting contributions of this study is the development of a vocabulary of citation distortions (reproduced below) that Greenberg used to taxonomize the citation network. It also is a vocabulary that other conscientious reviewers and readers can use in their own disciplines to identify and name these distortions.

Vocabulary of citation distortions

Citation

Both scholarly and social forms: the scholarly form connects statements to the broader

medical literature, the social form (social citation) includes self serving and persuasive

subtypes

Citation distortions

Self serving citation is always a distortion

Persuasive citation may be necessary to communicate new, sound claims to the scientific

community; it may, however, have distorted uses—citation bias, amplification, and

invention

Citation bias

Systematic ignoring of papers that contain content conflicting with a claim

Bolster claim; justifying animal models to provide opportunities to amplify claim

Amplification

Expansion of a belief system without data

Citation made to papers that don’t contain primary data, increasing the number of

citations supporting the claim without presenting data addressing it

Invention

Citation diversion—citing content but claiming it has a different meaning, thereby diverting

its implications

Citation transmutationthe conversion of hypothesis into fact through the act of citation

alone

Back door invention—repeated misrepresentation of abstracts as peer reviewed papers to

fool readers into believing that claims are based on peer reviewed publishedmethods and

data

Dead end citation—support of a claim with citation to papers that do not contain content

addressing the claim

Title invention—reporting of “experimental results” in a paper’s title, even though the paper

does not report the performance or results of any such experiments

2009-03-11

Disclosing to and educating patients about genetic risk

We've read a lot about direct to consumer disclosure of genetic risk. Here is an opportunity to learn from Prof Robert Green about what he has learned from the methodological study of the disclosure process of the genetic risk for a serious disease.


Translational Genomics Seminar Series
"Genetic Risk Assessment for Alzheimer's Disease: The REVEAL Study."
Robert C. Green, MD, MPH
Duncan Reid Conference Room Brigham and Women's Hospital on Thursday, March 19th at 5pm.