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Test Number : P2065-035
Test Name : IBM I2 Analysts Notebook Support Mastery Test
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IBM test Questions

IvfOPEN: superior Egg, Sperm, And Embryo Identification For A Safer IVF industry. | P2065-035 test Braindumps and Study Guide

earlier this month, a bunch of leaders from the world’s in vitro fertilization (IVF) community and a bunch of engineers from IBM convened a digital meeting to focus on security; in particular, the should reduce misidentification of IVF specimens to zero the use of a solution called ivfOPEN. 

To vicinity the importance of advantageous specimen identification into viewpoint, consider the names Jessica and Jennifer Smith.

in response to Social safety administration facts, about two and 1 / 4 p.c of feminine babies born in the u.s. within the 1990’s have been named Jessica or Jennifer. all through that same decade, essentially the most regular final identify changed into Smith, which accounted for 1% of all toddlers. That capacity that there are about 4,500 Jessica or Jennifer Smiths between 20 and 30 years old within the u.s.. 

in the coming decade, if they observe a 15% occurrence of infertility, 675 of those ladies could need IVF. Assuming a generous 50% success cost per IVF cycle within the coming decade, these women could account for 1350 cycles. each cycle will produce between three and 6 several types of tissue that may wish storage for the later use (eggs, embryos, semen, trophoblast, testicular biopsy, ovarian biopsy), which means that the 1350 cycles may produce an aggregate 8,100 samples, all labeled Jessica Smith or Jennifer Smith. depending on the penmanship of the labeler, it can be tricky to inform one adult’s specimens from a different’s. more alarming: every of these 8,one hundred samples generates straws for eggs (assume 12 per egg freezing cycle), one or extra sperm vials when sperm is frozen, straws for embryos (count on four-6 per cycle), and one vial per embryo when biopsied for PGT. each and every of these is a potential labeling error, as are the assorted dish and different vessel-labeling steps. In sum, the 675 Jessica and Jennifer Smiths might symbolize tens to a whole bunch of heaps of separate cases the place a specimen could be mislabeled or transferred to a different affected person.

We be aware of that patients swap clinics and that their frozen sperm, eggs and embryos go back and forth with them, so they can't tell for sure how these eight,a hundred samples may be disbursed between the 450 or so IVF clinics within the nation. Nor do they comprehend how many Jessica or Jennifer Smith specimens may well be shipped to the us from other countries.

but they can assume that because the variety of stored specimens continues to upward thrust, the possibility of mistaking one Jessica or Jennifer Smith’s specimen for a unique Jessica or Jennifer Smith’s specimen in a given IVF lab will rise too.

 There are lots of commonplace names; there are nearly as many Ashley Smiths as Jessica Smiths, and there are greater Emilys, Sarahs, and Samanthas together than there are Jessicas and Ashleys. And Smith is far from the best commonplace last identify. Census facts shows that in 1990, .eight% of infants were Johnsons, .7% were Williams, and .6% Jones and .6% Brown. Add Davis and Miller and we're near 5% of the population. And as IVF cycle volumes enhance for infertility, fertility preservation in oncology, genetic sickness prevention, LGBTQ fertility administration and proactive administration of chance for future infertility through the use of egg freezing and storage, specimen mixups will raise for these names too. 

Mistakenly fertilizing eggs with a stranger’s sperm, transferring an additional patient’s embryo to a woman anticipating her own genetically-related embryo, or having to destroy a specimen because of uncertainty of starting place should be under no circumstances events, like amputating the inaccurate leg or working on the wrong facet of the brain. unfortunately, youngsters, a Google look for “IVF mix-up” yields 349,000 outcomes. 

And ivfOPEN aims to repair that. How? Some background first. 

IVF and computer systems

The tips age arrived a number of years too late for IVF. 

Mary Louise Brown, the primary IVF baby, turned into born in 1979 into an international of typewriters, clipboards, pencils and erasers. IVF laboratory statistics over many of the subsequent decade consisted of just a few basic numbers (number of eggs, awareness of sperm) that everyone understood, and descriptions that intended anything a bit distinct to everybody who encountered them. One embryologist’s “potential day two embryo” changed into one more’s “mildly fragmented uneven four-mobilephone embryo” and yet yet another’s “grade AB-.” however on account that no one else noticed the statistics, it didn’t really be counted how they recorded it.

within the early years of IVF, they accrued sperm and eggs and made embryos, which were all either used or discarded within a few weeks. Some embryos grew to become into time period pregnancies. Over time these pregnancies accumulated identities: names and numbers and photographs. Embryos that arrested within the lab or failed to advance after switch left a legacy of just a few lines of vague, arbitrary text, scribbled into the affected person’s chart.

in advance of 1979, they already knew how to freeze, shop and thaw sperm. Over the next two-and-a-half decades, they found out how to do the identical for embryos, and later for eggs. Then they learned how to question the eggs and embryos, to verify for genetic advice. These new abilities coincided with gradual, constant improvement in the cost of a success being pregnant for each and every embryo transferred, an efficiency that resulted in transferring fewer embryos per cycle, which in flip resulted in additional embryos that can be saved for future use.

This new talent created a new problem, besides the fact that children, that of setting up a typical language to exactly and continuously describe, music, stock and high-quality handle what grew to become an enormous international inventory of embryos, eggs and sperm, a collection it truly is starting to be at expanding rates, and has progressively overwhelmed the rudimentary systems which have been developed piecemeal from one isolated IVF center to the subsequent.

we've yet to overcome that challenge.

familiar with tracking effects of whole cycles, both as a legacy of the early, pre-freezing IVF era and to agree to outcome reporting requirements of the U.S. centers for ailment handle (CDC), IVF clinics’ systems for statistics collection, quality manage, and inventory administration on the particular person specimen stage dissimilar from health center to clinic, or changed with adjustments in laboratory leadership. 

we've always been respectable at answering “pregnant: sure or no?” 

We’re now not remarkable at “egg or embryo: first rate, dangerous, or what? And why?”

So whereas their science has stepped forward, enabling us to perform intracellular and intra-embryonic surgical procedure, to deduce ever improved amounts of suggestions from the eggs and embryos that they save, and make feasible one-embryo-at-a-time effectivity, their records assortment remains in an information wasteful past. 

This relative forget about of specimen level information evaluation was exacerbated by way of the nature of the records itself, which continues to be descriptive and subjective, removed from top-quality for standardization, rigorous analysis and rational choice making.

In a terrific world, their skill to retrieve and shop records about the eggs and embryos that they retain frozen in laboratories would had been developed at an identical tempo because the bioengineering that created these new sources of facts. sadly, they haven't yet transitioned from the analog/descriptive/pattern cognizance/I realize it once I see it language of the twentieth century.

And this haphazard approach to conserving track of sperm, eggs and embryos is causing issues at the most primary degree: keeping track of what’s where and what belongs to whom.

Enter ivfOPEN: the conception

The mixture of an enormous and swiftly turning out to be number of frozen and kept specimens spread among hundreds of IVF labs and storage amenities global, labeled inconsistently, missing a most advantageous practices method for stock management or protocol for specimen and label switch from one web site to the next facets to one very primary and obvious solution: an industry-large gadget to generate a different identifier for each specimen at its aspect of foundation, generating a universally queryable source of proper identification that follows the specimen anywhere on earth, and not using a opportunity of identifier duplication.

moving IVF record-maintaining from the cycle stage to the specimen level should be the first, and arguably probably the most critical, step in disposing of specimen identification blunders and the “not ever blunders” that observe those mistakes.

however how can they enforce this?

earlier than thinking about an answer, what’s most terrific about the want for a strong identifier and tracking equipment, a “single supply of actuality” related to specimen id, is that this thought has been in existence in one form or a further, all through business, public health and government, for decades. the primary social protection numbers have been assigned in 1936. VIN numbers for automobiles had been added in 1954. ISBN numbers for books began in 1970. the primary UPC grocery scan was performed in 1974 on a pack of gum in Troy, Ohio. How will they justify no longer implementing a single source of fact gadget for IVF?

That pointed out, how can they put into effect this?

Enter IBM, and blockchain.

unique specimen tagging and monitoring isn't new; it has been correctly carried out in an awful lot larger industries; meals is a superb example. Bacterial illness within the produce aisle of a new Jersey grocery store can also be directly traced to a lettuce box in California and each transport vehicle in between, the usage of a system designed by means of IBM, a part of an average safety and surveillance infrastructure that identifies and facts voluminous information about their meals give, but that limits entry to delicate statistics through an unimpeachable permissions architecture. IBM also lately piloted a similar device with the FDA the use of blockchain to track prescription treatment within the US. (perform a Google seek IBM and blockchain for a a good deal extra thorough discussion of blockchain and the way it really works to arrange and protect the integrity and confidentiality of massive datasets.)

IVF methods include dozens of strategies and interventions, most of which contain some diploma of id investigate. by way of changing handwritten labels or sharpie-generated petri dish identification programs that can also depend on some aggregate of affected person name, date of method, or beginning date; inputs in an effort to pretty much certainly trigger duplication blunders as the sheer number of specimens increases and they move from one lab or storage facility to an extra ― by changing these with a computer generated and electronically tracked (think bar codes or RFID tags) identification equipment they will rationally engineer the elimination of specimen disposition errors.

This digitalization of IVF specimen id, utilized right through the IVF ecosystem, is the imaginative and prescient of ivfOPEN. Implementation will contain creation of a point-of-specimen introduction device for wonderful identifier assignment, and utility/verification of that identifier at every step in specimen contact, as well as administration of the records generated and control of access to these information through a strict permission structure. 

critical to the success of ivfOPEN is keeping its narrow scope. IVF is a sequence of interventions, carried out via a consortium of professionals, carrier suppliers, remedy, reagent, machine and machine producers and bosses. Ideally, ivfOPEN will increase the effectivity of each step of this operations chain, improving the defense and simple task of all of them with out competing with any of them.

Naturally, a cooperative plan like this raises questions.

now not every hospital writes patient names on sticky notes. Some have computerized systems already. where does ivfOPEN fit there?

ivfOPEN would combine with the existing device to generate the identifiers themselves, insuring that no two specimens anyplace on the planet had the identical determining label. The ivfOPEN device may still be value-delivered to any latest labeling or witnessing device.

is this a further IVF cycle “add-on” that allows you to enhance expenses to sufferers?

fairly the contrary. The plan for now, pending prison and engineering information, is to make the ivfOPEN a non-profit. After an preliminary construct-out length paid for by business-leading agencies, the system will assist itself with tiny costs (possible $1 or much less) each and every time the gadget is used for an identification verification (the equal of using an iPhone to scan a bar code.)

Why would agencies invest in this expertise in the event that they do not own it?

The brief answer is that these agencies make the most of the growth of the IVF trade. I have modeled the united states IVF underlying demand for IVF to be neatly over one million cycles per 12 months; at present they do under 300,000. lately, expansion in service provider-based mostly IVF coverage coverage for IVF and egg upkeep, multiplied use of IVF to stay away from genetic sickness, retain fertility for oncology patients and develop family building in the LGBTQ community collectively presage an acceleration in IVF demand. To the extent that this extended demand will also be met successfully, and — extra importantly — safely, heading off specimen loss and accidents from specimen identification errors, the use of innovation, then that innovation may be supported by way of industry incumbents.

How concerning the medical doctors and embryologists? What's in it for them?

Three benefits instantly are evoked: 1) possibility mitigation. even if or now not the protection improvement stemming from precision specimen identification translate into actuarial tables and insurance rate reductions, they will in the reduction of the chance of rare catastrophic hobbies that may ruin a medical institution’s recognition and outcome in complaints 2) the ivfOPEN procedure will exchange a legacy specimen identification equipment that become now not designed to get rid of duplicate identifiers from specimens transferred in from different amenities and 3) the system will be engineered for speedy and seamless workflow (keep in mind the iPhone - bar code comparison.)

What about privateness issues?

As we've realized from IBM, the combination of “scrubbing” of the identities underlying the identifiers and organising a strict, non-tamperable permissions architecture so that the best queries that are feasible are those that maintain the integrity of the facts.

So how can they make this occur?

essentially the most important features: simplicity and humility.

ivfOPEN should still solve one problem: design the ultimate components for assigning wonderful identifiers to specimens received or created all the way through IVF and serve the whole IVF community: patients, medical doctors, scientists, body of workers and organizations, in a worth-brought fashion that doesn't intrude with or compete with their dreams; to facilitate a future of secure and purchasable IVF.

disclosure: The creator is co-chair of ivfOPEN.


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