BACKGROUND: Health information technology and electronic medical records (EMRs) are potentially powerful systems-based interventions to facilitate diagnosis and treatment because they ensure the delivery of key new findings and other health related information to the practitioner. However, effective communication involves more than just information transfer; despite a state of the art EMR system, communication breakdowns can still occur. 123 In this project, we will adapt a model developed by the Systems Engineering Initiative for Patient Safety (SEIPS) to understand and improve the relationship between work systems and processes of care involved with electronic communication in EMRs. We plan to study three communication activities in the Veterans Health Administration’s (VA) EMR: electronic communication of abnormal imaging and laboratory test results via automated notifications (i.e., alerts); electronic referral requests; and provider-to-pharmacy communication via computerized provider order entry (CPOE). AIM: Our specific aim is to propose a protocol to evaluate the systems and processes affecting outcomes of electronic communication in the computerized patient record system (related to diagnostic test results, electronic referral requests, and CPOE prescriptions) using a human factors engineering approach, and hence guide the development of interventions for work system redesign. DESIGN: This research will consist of multiple qualitative methods of task analysis to identify potential sources of error related to diagnostic test result alerts, electronic referral requests, and CPOE; this will be followed by a series of focus groups to identify barriers, facilitators, and suggestions for improving the electronic communication system. Transcripts from all task analyses and focus groups will be analyzed using methods adapted from grounded theory and content analysis.
Although the information in the article is only a design concept, it is still worth reading. Concepts like these could be useful for many outpatient as well as many inpatient alerts; labs that are outside normal parameters, results from blood tests, incorrect antibiotic choice following culture results, etc. With the advances in mobile technology, especially mobile communication devices, this is worth serious consideration.
Medication reconciliation is defined by JCAHO as “the process of comparing a patient’s medication orders to all of the medications that the patient has been taking. This reconciliation is done to avoid medication errors such as omissions, duplications, dosing errors, or drug interactions.” The process should be fairly straight forward, but it is actually very difficult and time consuming. Read more…
Thanks for all the people who ventured a guess. Only the medications are transcribed and the original image is posted below the answers as a reference. Read more…
There is a nice article in the November 2009 issue of Hospital Pharmacy on the use of clinical surveillance in pharmacy. I’ve mentioned these types of systems before here and here.
From the article:
Clinical surveillance tools are atype of clinical decision support system (CDSS), providing pharmacists with patient information that has been filtered according to predefined criteria and is presented at appropriate times to enhance patient care. These tools pull data from 3 sources—admission/discharge/transfer (ADT), laboratory, and pharmacy—and use clinical rules to analyze the data and alert the user of instances that meet the rules’criteria. Though there is some variability in methods across the different vendors’ products, these Webbased applications enerally function by interfacing (HL7) with the hospital’s information systems to securely pull the data to the vendor’s server where the data are analyzed against a set of clinical rules. Some vendors allow the client to build their own rules, some provide a foundational set of rules, and others do not allow user-defined rules. This is an important distinction to make when evaluating the different applications.
Below is an example of some pretty bad handwriting. Take a look at it and see if you can decipher what the physician wants. I am looking for only medication related orders. Leave your guesses in the comment section. Good luck.
Entering and making pediatric drips for pharmacists working in an adult hospital can be a real sphincter tightener. Pharmacists that aren’t accustomed to working with pediatric patients feel a little bit uneasy when an order shows up for a customized dopamine, dobutamine, etc. I remember working in a pediatric facility where we did this kind of thing all the time and no one gave it a second thought. We used a combination of two standardized concentrations, hi and low, for each commonly ordered drip. For code blue situations we often used the “Rule of 6’s”, which is now discouraged by the Joint Commission. Read more…
Our facility is in the process of implementing bar code medication administration (BCMA) at the bedside. A large part of the process involves selecting hardware for the nurses to use on the floor. In addition to bar code scanners, the nurses will need access to computers for documenting not only medication administration, but other patient specific information as well. Read more…
I just saw a Tweet from Lexi-Comp announcing that they have a demonstration video of their ON-HAND software running on the Android platform. And because I’m using a Motorola Droid as my mobile device of choice, this is very exciting news. See the video below. Additional information is also available at the Lexi-Comp website.
The Annals of Pharmacotherpy (Vol. 43, No. 11, pp. 1912-1913): “Approximately 80% of pharmacists use the Internet to obtain drug information.1 Wikipedia, often found at the top of Internet search results, is a free-access, collaborative, online encyclopedia that can be edited by anyone.2 Incidents of vandalism have occurred, since the site allows anyone to contribute. For example, an incident occurred in which a fake biography was created as a joke to implicate prominent writer and journalist John Seigenthaler for the assassination of John F Kennedy. It took about 4 months until the fake biography was detected and deleted by Wikipedia.3 Although Wikipedia does have an internal quality review, the ability of internal editors to find and correct erroneous information may not be timely. As reported by Clauson et al.,4 the information found on Wikipedia may not be complete and accurate, especially in regard to drug information. Published data regarding pharmacists’ use of Wikipedia to obtain drug information is lacking. Therefore, the objective of this study was to measure pharmacists’ use and perception of Wikipedia for obtaining drug information.” – This letter to the editor discusses the results of a questionnaire given to pharmacists regarding the use of Wikipedia for drug information. I was disturbed to read that 28% of respondents reported using Wikipedia for drug information. Strange that it doesn’t appear on any of my drug information resources lists, and never will. I expect better from pharmacists.
My post from yesterday about allergies spurred some great comments on Twitter from @omowizard and @psweetman. I read the discussion between @omowizard and @psweetman with great interest and wish I would have been awake to participate. Unfortunately I was already counting sheep when the conversation took place. The discussion also made me realize how difficult it is to carry on a serious conversation with the 140 character limit imposed by Twitter. What we need is a place where a conversation can extend beyond the 140 character limit. Oh, wait, we have that; friendfeed. I digress. Read more…
