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The elusiveness of drug interactions

One of the seemingly insurmountable challenges that face CPOE, pharmacy, and e-Prescribing is alert fatigue. Alert fatigue results when something like drug drug interactions (DDIs) are highly insensitive or have a high rate of false positives. When a clinical information system imports DDIs from a commerical provider like FirstDataBank (FDB), you get every single possible interaction that may occur. This paradoxically results in a situation where noisy alerting may impede clinical decision support rather than facilitate it. In Greenberg and Ridgely's JAMIA commentary, Clinical Decision Support and Malpractice Risk, they poignantly highlight:

"CDS represents a situation in which malpractice and products liability can too easily lead to a perverse equilibrium in which the law has a detrimental effect on technology and in which patients, physicians, institutions, and the government are all made worse off as a result."

Challenges in e-prescribing


JAMIA's article "Transmitting and processing electronic prescriptions:experiences of physician practices and pharmacies" by Grossman et al. talks about the challenges pharmacies and physician practices face regarding e-prescribing. From my experience in retail pharmacy, it is pretty accurate in highlighting the current state of the art.

Is there really an app for that?

Happy new years! With a new year and 6 solid months of pharmacy informatics experience, it is time to re-visit "Internal Med? There's an app for that!" with an another perspective.

--

Timothy Cole asked an intriguing question on ASHP Connect regarding an "Apple friendly Hospital":

Hello everyone!

I'd like to know if anyone out there knows of or has worked for an Apple based hospital or at least an Apple friendly hospital? The hospital I work at uses Meditech and PCs and it just seems like there HAS to be a better way to do things.
What is your experience / opinion of the most user friendly EMR / PHA module / system? What about one that is the most consistent or the most efficient?

Usability

Clinical decision support is equal parts aiding the clinician to 'automagically' make the right decision and presenting options in a way that is intuitive. Being afforded the luxury to design the user interface of clinical design support advisors also brings up unique challenges. The clinical information may be very precise and accurate, but there is a need to present it in a way that facilitates a good user experience.

Speaking to programmers and developers, there is one usability book that is universally recommended: "Don't Make Me Think" by Steve Krug.

I'm going to pick up a copy and review it shortly.

Whether you hate Apple or love them, they also have a very good set of usability guidelines here.

 

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'Peds are not tiny adults', how do you tell a computer that?

I'm near the end of my clinical pediatric rotation and have had a unique opportunity to look at how clinical information systems (CIS) are used in peds. Everytime I've encountered pediatric medicine someone has stated the dogma of "peds are not tiny adults." That certainly makes sense from a pharmacokinetic perspective, but how do we teach that to our information systems?

Since we use the same computerized provider order entry (CPOE) system and pharmacy system for pediatrics and adults, it creates all sorts of havoc that we must solve. Examples:

  • Should you barcode breast milk? If so, how?
  • Up until birth, the mother and fetus are treated as '1' patient in the record, do you create another patient record upon birth (*hint* yes, you should)? If so, how? How does this affect your admission, discharge, and transfer (ADT) system?
  • How do you handle a drug (eg., cefotaxime) that is formulary for peds and non-formulary for adults in the same system?
  • What happens when a drug (eg., desmopressin) intended to be used one route (nasal) is actually used for another (oral)?

These questions if not addressed appropriately can create all sorts of therapeutic and safety problems. A majority of pharmacy related issues specifically concern clinical decision support (CDS) and drug file manipulations.

Useful Languages in Informatics: XML

Learning a variety of computer and markup languages can be very useful in helping understand interoperability in the informatics world. Lately, since so much of the clinical decision support I work on deals with a web interface, knowing HTML, CSS, and javascript is a must. Along this line, I have also gotten to understand XML a little better. There's no doubt you've probably heard of "XML"; it ranks with "Web 2.0" in regards to one of the most hyped terms of the last decade. So what's the big deal with XML?

XML, or Extensible Markup Language, provides a foundation for creating data and data documents. XML is great in terms of interoperability because it is very standardized, yet simple. Multiple systems can all understand well formed XML without having to convert it into another (often proprietary) format.

It is called extensible because XML provides a solid standard which other standards may incorporate. For example, look at the following XML code:

<XML>
<pharmacy_orgs>
<title>
American Pharmacists Association</title>
<abbreviation>APhA</abbreaviation>
</pharmacy_orgs>
</XML>

XML is self descriptive; the individual element tags can be named whatever the developer desires. This leads to the code being easier to understand without actual programming knowledge. Depending on what document type definition (DTD) is declared, specific rules are then evoked in order to parse or make sense of the XML. Where HTML concerns itself with displaying data, XML is used as a way to store it.

XML also stores data in a hierarchal structure. In the above example, it would look like:

Today I learned... about ITSM and pharmacy

Not long ago, the IT department in an institution held all the power. In an era of emerging technology, users were at the mercy of the whims of people who controlled the business IT infrastructure. When there was a change process, IT did not consult with departments; they just went ahead and made changes. Now, with increased user awareness and technical competence, along with a greater presence of competing outsourcers, there is an greater focus on IT as a service. The concept of aligning your IT department and the services it provides to users' businesses became known as Information Technology Service Management (ITSM).

Could CPOE increase mortality?

I've been reading up on literature regarding Computerized Provider Order Entry (CPOE) implementation strategies and ran into this article. It's quite old but significant and controversial. When the article was published, it was during a time when CPOE was still very young with relatively little solid data to back it up. This paper from Children's Hospital of Pittsburgh serves as a good case study of how bad things may happen to good technology.

In essence, the hospital retrospectively showed that the unadjusted mortality rate rose from 3.86% pre-CPOE to 6.57% post-CPOE in an intensive care setting. The reasons stated why CPOE didn't work did not seemed like they were issues with CPOE itself, but rather the hospital's infrastructure and work processes.

The article states "[a]fter CPOE implementation, order entry was not allowed until after the patient had physically arrived to the hospital and been fully registered into the system, leading to potential delays in new therapies and diagnostic testing." It's hard to believe the software would do this; was this a tech issue or a policy problem?

Furthermore, they complained that the "...physical process of entering stabilization orders often required an average of ten “clicks” on the computer mouse per order, which translated to 1 to 2 minutes per single order as compared with a few seconds previously needed to place the same order by written form." UI design is very important, but they didn't state the technological "savy-ness" of the user. 10 clicks = 1 to 2 minutes?! I've seen some Twittered-frenzied residents microblog 140 characters faster than I could hand write my own name.

TIL (today I learned)... the importance of requirements writing

Informatics is very much a business. Like most businesses, you provide a service. Whether it is to implement, develop, support, or train, it is necessary to consult with end users. In clinical informatics, the end users are physicians, nurses, and pharmacists.

When a user requests a function be built or a feature implemented, they often do not think like an IT person. Because of this, their expectations may or may not be realistic. What may seem logical to a clinician may not be pragmatic from a programmer's perspective. People in healthcare also tend to be perfectionists; they will always demand the project be revised an infinite amount of times in order to achieve perfection. Essentially, you end up with the Pareto principle (also known as the 80-20 rule); 20% of your user base will take up 80% of your time. The key to solving this is to set expectations and service agreements up front using requirements writing.

Requirements writing is is a process familiar to many business analysts and software engineers. It is an investment before undertaking a project which saves time, money, and effort. First, you must clearly identify the underlying problem that needs to be solved. Next, determine if the problem necessitates a technological solution. Many problems or issues are related to a human process; adding technology only makes the problem faster and overspec'ed (sp?).

Once the problem is identified, research should be completed on which real world "best practices" may mitigate it. Finally a requirements document is written. Simply put, requirements are statements of what a system should do rather than how it should do it. Requirements come from the end users (clients) and are narrated specifically as to what they want a feature to accomplish.

IT Pharmacist? Or Pharmacy IT guy?

It is officially 1 month into the new residency and so brings the end of orientation. Being able to hang around the informatics department the last few weeks was certainly eye opening. I think the biggest thing I learned/discovered/realized was exactly how important cross disciplinary collaboration is in informatics. It may also play a role in the development of an IT RPh.

In clinical pharmacy, it is often stated that you will collaborate and work with other disciplines like physicians, NPs, PAs, nurses, dieticians, etc. In informatics, it is no different. I have met nurses, physicians, analysts, and programmers- all which specialize in informatics clinical systems. It fact, the line differentiating terms like nursing informatics, pharmacy informatics, and _____ informatics is beginning to blur. There are different teams in the department responsible for different aspects, but the latter terms could not accurately describe their respective functions.

I'm starting to wonder where the balance lies for an informatics/IT pharmacist. There are plenty of developing programs where there is only 1 IT RPh responsible for everything; hence, you need to know a little about a lot. But in established institutions with an entire building dedicated to informatics, is the skill set of the IT RPh different? Meeting a lot of programmers and analysts with computer science backgrounds, it makes me question how much IT/technical knowledge should a pharmacist know. Currently, there are pharmacists that dabble in IT. Some pharmacists even specialize in informatics, but focus on being a bridge between programmers and clinicians. In the near future, though, will there be analysts that come from a pharmacy background, but have given up their clinical practice entirely to focus on technical concepts on a higher level?

Guess I'll get a clearer answer in the coming months.

Does this data make me look fat? - The Aesthetics of Raw Information

 

Technology can only take us so far. At a certain point, technology becomes powerful enough that a user will simply be unable to keep up with the outflow of information and data (it's hard enough keeping up with my Twitter stream). Without parallel development in data presentation techniques and visualization, it is easy to become overwhelmed by raw data without knowing what it actually means. Furthermore, when you add the human element to the mix, it becomes even more complicated.

Because most hospitals, in the interest of getting reimbursed, require certain elements (eg., review of systems, labs, etc.) to be recorded in the patient history and physical, most electronic health records (EHRs) are able to pull in objective data from other parts of the EHR and coalesce it into the H&P. Therein, however, lies a dilemma. Much like the alert fatigue phenomenon, there may also be "data fatigue." Sometimes, a progress note contains so much raw information, it paradoxically obscures the overall picture of what is going on with the patient.

Pharmacy Informatics Primer

I'll share some slides from a recent ACPE-accredited CE I did on Rx informatics. It was one of my first experiences conducting a session over Microsoft's Live Meeting, which felt kind of weird. There's something strange about talking in an empty room, not being able to see the reactions and faces of the audience though the internet tubes. I'm sure many were flabbergasted/"thought-I-was-a-heretic" when I discussed the idea of automating medication orders, or how understanding the use of technical and sophisticated software would be the next unspoken requirement of the contemporary clinical pharmacist. Oh yeah, I went there.

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