Academic literature on the topic 'Computer reminder'

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Journal articles on the topic "Computer reminder"

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TAPE, THOMAS G., STEPHEN D. FLACH, and JAMES R. CAMPBELL. "A PROCESS ANALYSIS OF COMPUTER-GENERATED PATIENT REMINDERS DELIVERED BY NURSING PERSONNEL." International Journal of Information Technology & Decision Making 01, no. 04 (December 2002): 693–705. http://dx.doi.org/10.1142/s0219622002000427.

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Purpose: To measure the extent to which health care reminders are offered by nursing personnel and accepted by patients, we performed a detailed process study of a computer-generated, patient-specific mammography reminder. Subjects: 25,971 consecutive visits by 2,814 women age 50 and older seen during an eight year period in an academic internal medicine practice. Methods: An implementation trial with historical controls was done in the Internal Medicine Clinic at the University of Nebraska Medical Center. We incorporated a computer reminder system into the nursing check-in process along with the standing orders for mammograms. The administration of the reminder, the patient response to the reminder, and subsequent follow-through with mammography were tracked during the intervention phase. Patients were considered "up-to-date" if a mammogram had been done within two years before the visit, or if one was obtained within 60 days after the visit. Results: The proportion of patients up-to-date increased from 48% during a four-year pre-intervention phase to 54% in the intervention phase. Process analysis showed that clinic personnel offered the reminder in 31% of eligible visits, 11% of reminded patients agreed, and 53% of patients who agreed had mammography done. One unsuspected carcinoma was diagnosed. Patient race, insurance coverage, and number of visits during the prior two years influenced whether patients agreed to mammography and whether they then had the test done.
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Rath, Jessica M., Valerie F. Williams, Andrea C. Villanti, Molly P. Green, Paul D. Mowery, and Donna M. Vallone. "Boosting Online Response Rates Among Nonresponders." Social Science Computer Review 35, no. 5 (July 14, 2016): 619–32. http://dx.doi.org/10.1177/0894439316656151.

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Online data collection has become an extremely popular survey mode given its reduced cost, ease of administration, and timeliness. Although extensive research exists on the influence of e-mail invitation design characteristics to prompt survey participation, less is known about the effectiveness of e-mail reminders in prompting survey completion among nonresponders. The purpose of this study was to determine whether incorporating humor into e-mail reminders improved survey completion rates. Respondents from the Truth Initiative Young Adult Cohort ( n = 2,963) who did not respond to the first standard e-mail invitation to complete their follow-up survey were randomly assigned to one of the three e-mail reminder groups: control (standard), humor only, or humor plus statistics. Those who received an initial humor plus statistics reminder e-mail received the humor only e-mail as their second reminder and vice versa. Logistic regression was used to generate the odds ratios ( OR) for the probability of completing the survey after the first reminder. Results of multivariable models showed that, when collapsed together, the humor only and humor plus statistics e-mails were more effective than the control [adjusted OR (AOR) = 1.23, 95% confidence interval (CI) [1.01, 1.49], p = .05]. Receiving the humorous e-mail as the first reminder increased the odds of response to the survey by 24% (AOR = 1.24, 95% CI [1.00, 1.54], p = .04). Those entering the study at an earlier wave, nonsmokers and those living in smaller households were more likely to respond after the first reminder. A humorous reminder tailored to the voice of the audience is an easy, efficient, and effective way to increase response rates among young adults.
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Glowacki, Julie, Mitchel B. Harris, Josef Simon, John Wright, Nikheel S. Kolatkar, Thomas S. Thornhill, and Meryl S. LeBoff. "Brigham Fracture Intervention Team Initiatives for Hospital Patients with Hip Fractures: A Paradigm Shift." International Journal of Endocrinology 2010 (2010): 1–7. http://dx.doi.org/10.1155/2010/590751.

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We designed, implemented, and revised the Brigham Fracture Intervention Team (B-FIT) initiatives to improve in-hospital care of fracture (Fx) patients. Effectiveness was evaluated for 181 medical records of 4 cohorts in four successive years of consecutive patients who were admitted with a fragility hip Fx. The Discharge Initiative (DI) (computer-based) includes 1200 mg calcium and 1000 IU vitamin daily. The Admission Initiative (AI) was introduced one year later with reminders for serum 25OHD measurement, initiation of daily calcium (1200 mg) and vitamin D (800 IU), and an order for Endocrinology consultation, with an amendment for a computer-assisted reminder and a dose of (50 000 IU). Initially, the computer-based DI was more effective (67%) than the surgeon-driven AI (33%, ). After introduction of a computer-assisted reminder, AI effectiveness increased to 68%. The marked prevalence of vitamin D insufficiency reaffirms the importance of incorporating vitamin D recommendations in Fx care pathways.
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Nguyen, Michael C., David M. Richardson, Steven G. Hardy, Rachel M. Cookson, Richard S. Mackenzie, Marna Rayl Greenberg, Bernadette Glenn-Porter, and Bryan G. Kane. "Computer-based reminder system effectively impacts physician documentation." American Journal of Emergency Medicine 32, no. 1 (January 2014): 104–6. http://dx.doi.org/10.1016/j.ajem.2013.10.029.

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Wolters, Maria K., Christine Johnson, Pauline E. Campbell, Christine G. DePlacido, and Brian McKinstry. "Can older people remember medication reminders presented using synthetic speech?" Journal of the American Medical Informatics Association 22, no. 1 (July 30, 2014): 35–42. http://dx.doi.org/10.1136/amiajnl-2014-002820.

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Abstract Reminders are often part of interventions to help older people adhere to complicated medication regimes. Computer-generated (synthetic) speech is ideal for tailoring reminders to different medication regimes. Since synthetic speech may be less intelligible than human speech, in particular under difficult listening conditions, we assessed how well older people can recall synthetic speech reminders for medications. 44 participants aged 50–80 with no cognitive impairment recalled reminders for one or four medications after a short distraction. We varied background noise, speech quality, and message design. Reminders were presented using a human voice and two synthetic voices. Data were analyzed using generalized linear mixed models. Reminder recall was satisfactory if reminders were restricted to one familiar medication, regardless of the voice used. Repeating medication names supported recall of lists of medications. We conclude that spoken reminders should build on familiar information and be integrated with other adherence support measures.
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Raban, Magdalena Z., Melissa T. Baysari, Mikaela L. Jorgensen, Amina Tariq, Andrew Georgiou, and Johanna I. Westbrook. "Unmet Needs for Transdermal Patch Management in Electronic Medication Administration Records: An Analysis of Data from 66 Aged Care Facilities." Applied Clinical Informatics 11, no. 05 (October 2020): 812–20. http://dx.doi.org/10.1055/s-0040-1721011.

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Abstract Background Transdermal medication patches have caused serious adverse events in residential aged care facilities (RACFs). Preliminary research suggests that facilities are using a workaround consisting of manually entered reminders in their electronic medication administration records (eMARs) to prompt staff to check and remove patches, because the eMAR does not support these tasks. However, the prevalence and factors associated with use of this workaround among facilities is unknown. Objectives The objectives of this study were to (1) examine the frequency and consistency with which manual reminders to check and remove transdermal patches were used in facility eMARs, and (2) identify resident and facility factors associated with reminder use, to inform eMAR redesign. Methods This was a retrospective cross-sectional analysis of eMAR data from 66 Australian RACFs including 4,787 permanent residents, aged ≥65 years in January 2017. Prevalence of the use of reminders to check and remove patches, and consistency in their application within facilities were examined. Generalized estimating equations were used to determine factors associated with use of manual reminders. Results One in five (n = 937) residents used a patch, and 83.6% of patches contained opioids, a high-risk medicine. 56.9% of facilities implemented manually entered check patch reminders in the eMAR, and 72.3% implemented remove reminders. The reminders were applied inconsistently, with only half of these facilities having reminders for all residents with patches. Residents in facilities in regional areas were more likely to have a check reminder compared with those in major cities (adjusted odds ratio = 4.72 [95% confidence interval: 1.69–13.20]). Conclusion Transdermal patches containing high-risk medicines are frequently used in RACFs, but their safe administration is not supported by a widely implemented eMAR. The frequent, but inconsistent use of a workaround to manually enter reminders indicates an unmet need for new eMAR functionality to improve safety.
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Milutinovic, V. "Our Profession Needs a Reminder." Computer 39, no. 5 (May 2006): 104–3. http://dx.doi.org/10.1109/mc.2006.175.

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Kailajärvi, Marita, Timo Takala, Paula Grönroos, Nils Tryding, Jorma Viikari, Kerttu Irjala, and Jari Forsström. "Reminders of Drug Effects on Laboratory Test Results." Clinical Chemistry 46, no. 9 (September 1, 2000): 1395–400. http://dx.doi.org/10.1093/clinchem/46.9.1395.

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Abstract Drug effects on laboratory test results are difficult to take into account without an online decision support system. In this study, drug effects on hormone test results were coded using a drug-laboratory effect (DLE) code. The criteria that trigger the reminders were defined. To issue reminders, it was necessary to write a computer program linking the DLE knowledge base with databases containing individual patient medication and laboratory test results. During the first 10 months, 11% of the results from hormone samples were accompanied by one or more DLE reminders. The most common drugs to trigger reminders were glucocorticoids, furosemide, and metoclopramide. Physicians facing the reminders completed a questionnaire on the usefulness of the reminders. All respondents considered them useful. In addition, DLE reminders had caused 74% of respondents to refrain from additional, usually performed examinations. In conclusion, drug effects on laboratory tests should always be considered when interpreting laboratory results. An online reminder system is useful in displaying potential drug effects alongside test results.
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Chaurasia, Priyanka, Sally McClean, Chris D. Nugent, and Bryan Scotney. "A duration-based online reminder system." International Journal of Pervasive Computing and Communications 10, no. 3 (August 26, 2014): 337–66. http://dx.doi.org/10.1108/ijpcc-07-2014-0042.

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Purpose – This paper aims to discuss an online sensor-based support system which is believed to be useful for persons with a cognitive impairment, such as those with Alzheimer’s disease, suffering from deficiencies in cognitive skills which reduce their independence. Such patients can benefit from the provision of further assistance such as reminders for carrying out instrumental activities of daily living (iADLs). Design/methodology/approach – The system proposed processes data from a network of sensors that have the capability of sensing user interactions and ongoing iADLs in the living environment itself. A probabilistic learning model is built that computes joint probability distributions over different activities representing users’ behavioural patterns in performing activities. This probability model can underpin an intervention framework that prompts the user with the next step in the iADL when inactivity is being observed. This prompt for the next step is inferred from the conditional probability, taking into consideration the iADL steps that have already been completed, in addition to contextual information relating to the time of day and the amount of time already spent on the activity. The originality of the work lies in combining partially observed sensor sequences and duration data associated with the iADLs. The prediction of the next step is then adjusted as further steps are completed and more time is spent towards the completion of the activity; thus, updating the confidence that the prediction is correct. A reminder is only issued when there has been sufficient inactivity on the part of the patient and the confidence is high that the prediction is correct. Findings – The results verify that by including duration information, the prediction accuracy of the model is increased, and the confidence level for the next step in the iADL is also increased. As such, there is approximately a 10 per cent rise in the prediction performance in the case of single-sensor activation in comparison to an alternative approach which did not consider activity durations. Thus, it is concluded that incorporating progressive duration information into partially observed sensor sequences of iADLs has the potential to increase performance of a reminder system for patients with a cognitive impairment, such as Alzheimer’s disease. Originality/value – Activity duration information can be a potential feature in measuring the performance of a user and distinguishing different activities. The results verify that by including duration information, the prediction accuracy of the model is increased, and the confidence level for the next step in the activity is also increased. The use of duration information in online prediction of activities can also be associated to monitoring the deterioration in cognitive abilities and in making a decision about the level of assistance required. Such improvements have significance in building more accurate reminder systems that precisely predict activities and assist its users, thus, improving the overall support provided for living independently.
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Chaurasia, Priyanka, Sally McClean, Chris D. Nugent, and Bryan Scotney. "A duration-based online reminder system." International Journal of Pervasive Computing and Communications 10, no. 4 (October 28, 2014): 442–68. http://dx.doi.org/10.1108/ijpcc-10-2013-0029.

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Purpose – The purpose of this paper is to discuss an online sensor-based support system which the authors believe can be useful in such scenarios. Persons with a cognitive impairment, such as those with Alzheimer’s disease, suffer from deficiencies in cognitive skills which reduce their independence; such patients can benefit from the provision of further assistance such as reminders for carrying out instrumental activities of daily living (IADLs). Design/methodology/approach – The system proposed processes data from a network of sensors that have the capability of sensing user interactions and on-going IADLs in the living environment itself. A probabilistic learning model is built that computes joint probability distributions over different activities representing users’ behavioural patterns in performing activities. This probability model can underpin an intervention framework that prompts the user with the next step in the IADL when inactivity is being observed. This prompt for the next step is inferred from the conditional probability taken into consideration the IADL steps that have already been completed, in addition to contextual information relating to the time of day and the amount of time already spent on the activity. The originality of the work lies in combining partially observed sensor sequences and duration data associated with the IADLs. The prediction of the next step is then adjusted as further steps are completed and more time is spent towards the completion of the activity, thus updating the confidence that the prediction is correct. A reminder is only issued when there has been sufficient inactivity on the part of the patient and the confidence is high that the prediction is correct. Findings – The results of this study verify that by including duration information the prediction accuracy of the model is increased and the confidence level for the next step in the IADL is also increased. As such, there is approximately a 10 per cent rise in the prediction performance in the case of single sensor activation in comparison to an alternative approach which did not consider activity durations. Practical implications – Duration information to a certain extent has been widely ignored by activity recognition researchers and has received a very limited application within smart environments. Originality/value – This study concludes that incorporating progressive duration information into partially observed sensor sequences of IADLs has the potential to increase performance of a reminder system for patients with a cognitive impairment, such as Alzheimer’s disease.
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Dissertations / Theses on the topic "Computer reminder"

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Ahmed, Qutub Uddin, and Saifullah Bin Mujib. "Context Aware Reminder System : Activity Recognition Using Smartphone Accelerometer and Gyroscope Sensors Supporting Context-Based Reminder Systems." Thesis, Blekinge Tekniska Högskola, Institutionen för datalogi och datorsystemteknik, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4122.

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Context. Reminder system offers flexibility in daily life activities and assists to be independent. The reminder system not only helps reminding daily life activities, but also serves to a great extent for the people who deal with health care issues. For example, a health supervisor who monitors people with different health related problems like people with disabilities or mild dementia. Traditional reminders which are based on a set of defined activities are not enough to address the necessity in a wider context. To make the reminder more flexible, the user’s current activities or contexts are needed to be considered. To recognize user’s current activity, different types of sensors can be used. These sensors are available in Smartphone which can assist in building a more contextual reminder system. Objectives. To make a reminder context based, it is important to identify the context and also user’s activities are needed to be recognized in a particular moment. Keeping this notion in mind, this research aims to understand the relevant context and activities, identify an effective way to recognize user’s three different activities (drinking, walking and jogging) using Smartphone sensors (accelerometer and gyroscope) and propose a model to use the properties of the identification of the activity recognition. Methods. This research combined a survey and interview with an exploratory Smartphone sensor experiment to recognize user’s activity. An online survey was conducted with 29 participants and interviews were held in cooperation with the Karlskrona Municipality. Four elderly people participated in the interview. For the experiment, three different user activity data were collected using Smartphone sensors and analyzed to identify the pattern for different activities. Moreover, a model is proposed to exploit the properties of the activity pattern. The performance of the proposed model was evaluated using machine learning tool, WEKA. Results. Survey and interviews helped to understand the important activities of daily living which can be considered to design the reminder system, how and when it should be used. For instance, most of the participants in the survey are used to using some sort of reminder system, most of them use a Smartphone, and one of the most important tasks they forget is to take their medicine. These findings helped in experiment. However, from the experiment, different patterns have been observed for three different activities. For walking and jogging, the pattern is discrete. On the other hand, for drinking activity, the pattern is complex and sometimes can overlap with other activities or can get noisy. Conclusions. Survey, interviews and the background study provided a set of evidences fostering reminder system based on users’ activity is essential in daily life. A large number of Smartphone users promoted this research to select a Smartphone based on sensors to identify users’ activity which aims to develop an activity based reminder system. The study was to identify the data pattern by applying some simple mathematical calculations in recorded Smartphone sensors (accelerometer and gyroscope) data. The approach evaluated with 99% accuracy in the experimental data. However, the study concluded by proposing a model to use the properties of the identification of the activities and developing a prototype of a reminder system. This study performed preliminary tests on the model, but there is a need for further empirical validation and verification of the model.
+46707560843
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Warnock, David. "The application of multiple modalities to improve home care and reminder systems." Thesis, University of Glasgow, 2014. http://theses.gla.ac.uk/5164/.

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Existing home care technology tends to be pre-programmed systems limited to one or two interaction modalities. This can make them inaccessible to people with sensory impairments and unable to cope with a dynamic and heterogeneous environment such as the home. This thesis presents research that considers how home care technology can be improved through employing multiple visual, aural, tactile and even olfactory interaction methods. A wide range of modalities were tested to gather a better insight into their properties and merits. That information was used to design and construct Dyna-Cue, a prototype multimodal reminder system. Dyna-Cue was designed to use multiple modalities and to switch between them in real time to maintain higher levels of effectiveness and acceptability. The Dyna-Cue prototype was evaluated against other models of reminder delivery and was shown to be an effective and appropriate tool that can help people to manage their time and activities.
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Khan, Nisar, and Fazlullah Khan. "Context based reminder system Supporting persons using Smartphone accelerometer data." Thesis, Blekinge Tekniska Högskola, Sektionen för datavetenskap och kommunikation, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-4766.

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Context: Sensor base data is being used for many purposes in designing various memory aid systems for cognitive impaired people. Different memory aids or reminder systems are based on various technologies such as NFC, accelerometer, GPS and gyroscope. Smart phones are equipped with such sensors and can be used for assistance of persons. In this study we use smart phone sensors in order to design a context aware reminder system to assist cognitive impaired people. Objectives: Different reminder systems, needs for such systems, technologies and models used to build a reminder system are identified in this research work. Ultimate goal of the study is to assist cognitive people in their daily life activities, using available embedded technologies of smart phones. Following objectives were set to achieve the goal of the thesis work: • What are reminder systems and why do we need such systems? • What are the different kinds of technologies reported in literature for reminder systems? • What are the issues encountered by cognitive impaired/elderly people while performing their daily life activities? • How to design and implement context aware reminder system using Smartphone embedded sensors? Methods: Mix method approach is used to carry out this study. Literature review is conducted based on the notion of systematic review. Data is collected through survey and interviews, conducted in south Sweden municipality, to analyze and indentify daily life issues and problems of cognitive people. Experiments are performed in real environment to test and verify our application. We evaluate the performance of activity recognition algorithm, implemented in the application, using Weka. Results: Various reminder systems, their needs and underlined technologies are identified and reported. Activities of daily living and issues addressed by these reminder systems are also identified. Survey and interviews help us to identify issues and problems faced by cognitive impaired/elderly while performing their daily life activities. For example, we find out that cognitive people not only forget their daily life activities but also during performing these activities. Conclusions: Many proposed models in literature are related to each other and use similar sensor based data from various technologies. Based on literature review, survey and interviews we have concluded that context based reminder system is essential for cognitive disabled people. It leads us to design a context based reminder system for android based smart phones. The preliminary tests help us to verify our model but there is absolute need for further empirical verification and validation.
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Cariño, Dan. "Using SMS Text Message Reminders as a Way to Decrease Short Notice Cancellations of Surgeries : A Semi-randomized Controlled Trial." Thesis, KTH, Medieteknik och interaktionsdesign, MID, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-191248.

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Health care providers face large costs in terms of operating rooms not being utilized due to patients (1) not canceling enough in advance to allow a different patient to be scheduled or (2) not being in a good enough condition to be operated on due to failure to follow preoperative instructions properly. This degree project aims to see if SMS text reminders can be used to lower the number of surgeries canceled in this manner. Patients of the surgical-, urological- and orthodontic clinics at a hospital in Stockholm were placed into one of three groups; (1) a group that did not receive a text message reminder, (2) a group that received a "short" reminder, (3) and a group that received a "long" reminder. A survey was also conducted to determine what the patients thought of the reminders and whether they believed it influenced them or not. The study suggests that reminders do not work as a method to decrease the short notice cancellation rate as it may not be a poor memory that causes the patient to cancel. Instead, anxiety might have a greater impact than expected. Further studies should be conducted in order to confirm this hypothesis.
Sjukvårdsgivare möts av stora kostnader då operationssalar inte används på grund av att patienter (1) inte avbokar i tid för att tillåta att en annan patient tar deras platser eller (2) inte är i tillräckligt bra tillstånd för att bli opererad på grund av ett misslyckande att följa de preoperativa instruktionerna ordentligt. Detta examensarbete har som mål att undersöka om SMS-påminnelser kan användas för att minska antalet operationer som avbokas på detta vis. Patienter från de kirurgiska-, urologiska och ortopediska klinikerna på ett sjukhus i Stockholm placerades i en av tre grupper; (1) en grupp som inte mottog SMS-påminnelser, (2) en grupp som mottog en ”kort påminnelse”, (3) och en grupp som mottog en ”lång” påminnelse. En enkätstudie utfördes för att kunna avgöra om patienter ansåg att påminnelserna påverkade dem eller inte. Studien antyder att påminnelser inte fungerar som ett sätt att minska antalet avbokningar med kort varsel eftersom det avbokningar eventuellt inte beror på minnet. Istället är det möjligt att ångest har en större påverkan än förväntat. Fler studier borde utföras för att kunna bekräfta denna hypotes.
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Bridges, Sharon. "Duplicated laboratory tests : a hospital audit and evaluation of a computerized alert intervention." Doctoral diss., University of Central Florida, 2011. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/4695.

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Laboratory testing is necessary when it contributes to the overall clinical management of the patient. Redundant testing, however, is often unnecessary and expensive and contributes to overall reductions in healthcare system efficiency. The purpose of this study is two-fold. First, to evaluate the frequency of ordering duplicate laboratory tests in hospitalized patients and the costs associated with this practice. Second, it was designed to determine if the use of a computerized alert or prompt will reduce the total number of unnecessarily duplicated Acute Hepatitis Profile (AHP) laboratory tests. Methods This two-phase study took place in an inpatient facility that was part of a large tertiary care hospital system in Florida. A retrospective descriptive design was used during Phase 1 was to evaluate six laboratory tests and the frequency of ordering duplicate laboratory tests in hospitalized patients and to determine the associated costs of this practice for a 12-month time period in 2010. A test was considered a duplicate or an unnecessarily repeated test if it followed a previous test of the same type during the patient*s length of stay in the hospital and one in which any change in their values likely would not be clinically significant. A quasi-experimental pre- and post-test design was used during phase 2 was to determine the proportion of duplication of the AHP test before and after the implementation of a computerized alert intervention implemented as part of a system quality improvement process on January 5th, 2011. Data were compared for two 3-month time periods, pre- and post-alert implementation. The AHP test was considered redundant if it followed a previous test of the same type within 15 days of the initial test being final and present in the medical record. Results In phase 1, including each of the six tests examined, there were a total amount of 53, 351 test ordered, with 10, 375 (19.4%) of these cancelled. Out of the total amount of result final tests (n = 42,976), including each of the six tests examined, 4.6-8.7% were redundant. Results of the proportion of duplication of the six selected tests are as follows: AHP 196/2514 (7.8%), Antinuclear Antibody (ANA) 120/2594 (4.6%), B12/Folate level 396/5874 (6.7%), Thyroid Stimulating Hormone (TSH) 1893/21595 (8.7%), Ferritin 384/5171 (7.4%), and Iron/Total iron binding capacity (TIBC) 316/5155 (6.1%). The overall associated yearly cost of redundant testing of these six selected tests was an estimated $419, 218. The largest proportion of redundant tests was the Thyroid Stimulating Hormone level, costing a yearly estimated $300, 987. In Phase 2, prior to introduction of the alert, 674 AHP tests were performed. Of these, 53 (7.9%) were redundant. During the intervention period, 692 AHP tests were performed, of these 18 (2.6%) were redundant. The implementation of the computerized alert was shown to significantly reduce the proportion of AHP tests (Chi-Square: [chi]2 = df 1, p [less than or equal to] 0.001). The differences in the associated costs of duplicated AHP were $5238 dollars in 2010 as compared to $1746 in 2011 post-alert and these differences were significant (Mann Whitney U, Z = -4.04, p [less than or equal to]; 0.001). Conclusion Although the proportions of unnecessarily repeated diagnostic tests that were observed during Phase 1 of this study were small, the associated costs could adversely affect hospital revenue and overall healthcare efficiency. The implementation of the AHP computerized alert demonstrated a drop in the proportion of redundant AHP tests and subsequent associated cost savings. It is necessary to perform further research to evaluate computerized alerts on other tests with evidence-based test-specific time intervals, and to determine if such reductions post-implementation of AHP alerts are sustained over time.
D.N.P.
Doctorate
Nursing
College of Nursing
Nursing Practice DNP
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Kocaballi, Ahmet Baki. "Weighted Granular Best Matching Algorithm For Context-aware Computing Systems." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12605825/index.pdf.

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Weighted granular best matching algorithm is proposed for the operation of context matching in context-aware computing systems. New algorithm deals with the subjective, fuzzy and multidimensional characteristics of contextual information by using weights and a granular structure for contextual information. The proposal is applied on a case: CAPRA &ndash
Context-Aware Personal Reminder Agent tool to show the applicability of the new context matching algorithm. The obtained outputs showed that proposed algorithm produces the results which are more sensitive to the user&rsquo
s intention, more adaptive to the characteristics of the contextual information and applicable to a current Context-aware system.
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Merced, Darlene. "The effects of task interruption on user performance in a multitasking environment : implications for computerized reminders /." Thesis, Virginia Tech, 1991. http://hdl.handle.net/10919/41694.

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Large and complex operations environments such as the one being designed for the Space Station Freedom will undoubtedly place many requirements on crewmembers to simultaneously perform multiple tasks; i.e., “multitasking.” Moreover, it is unlikely crewmembers will finish a task without being interrupted several times. Depending on the nature of these interruptions, crewmembers may be forced to suspend their activities. One danger in suspending activities is forgetting (e.g., forgetting what the activities were, or one's position within the activities, or certain procedures, etc.). Forgetting to complete even a single activity in space may have serious consequences. As a countermeasure to forgetting, the present study introduced the use of computer- based “reminders.” The purpose of this study was to: (1) establish a baseline measure of multitasking, (2) examine the effects of interruptions on task performance, and (3) explore the use of computer-based "reminders." The results revealed subjects could perform three and five simultaneous tasks with a response accuracy of 98 percent. A large portion of that performance was attributed to practice and response pacing. In addition, the interruption task chosen for this study did not affect reaction time or response error performance on the main tasks. The use of a computer-based checkmark reminder proved to be beneficial in reducing menu search time regardless of the number of items to be located. Search time decreased considerably when the reminder was available to subjects as opposed to when it was absent. This study concludes that with practice and pacing, people can perform at least five simple tasks simultaneously. Furthermore, the benefits of incorporating computer-based reminders should not be limited only to multitasking environments.
Master of Science
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Kellogg, Amy. "Using Computer Generated Reminders as Time Management Support to Influence Assignment Completion Rates and Course Completion in an Online Masters Program." Diss., Virginia Tech, 2003. http://hdl.handle.net/10919/29228.

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This study investigated the influence of computer-generated reminders on the rate in which distance learners submitted assignments and completed courses. The computer-generated reminders, sent via email, served as a time management support strategy. Participants were randomly divided into two groups: control and treatment. Both groups received a list of target due dates for course assignments. The control group did not receive reminders. The treatment group received reminders when they failed to submit an assignment by a target due date. The results indicated no significant difference between the control and treatment groups in terms of assignment submission rates and course completion rates. However, results of this study did reveal that the number of assignments in a distance course influences the timeliness of assignment completion and the likelihood of course completion.
Ph. D.
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Wikstén, Louise. "Aiding financial operators when completing daily tasks." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210185.

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The engagement in multiple activities in the workplace leads to the challenge of managing several tasks. When managing multiple tasks, it may be difficult to remember to complete all tasks. Within an operations team at a hedge fund, there are demands that all trades are reported by the end of the day to the correct prime brokerage. This thesis examines the research question: How can a GUI be designed to remind and aid users to verify that trade information has been managed correctly? The research was conducted at a financial company, and focused on improving the workflow for one of the company’s clients and its operations team. To identify the challenges of a financial operator, contextual inquiries were conducted, followed by a design workshop to generate design ideas. The results were used as inspiration for the prototype of a GUI. The prototype was evaluated through cognitive walkthroughs, expert review, and with end users. The prototype was found to aid financial operators to verify if there was any work left, but the reminder aspect would need to be examined with a real system during an extended period.
Att engagera sig i flertalet aktiviteter på en arbetsplats leder till utmaningen att hantera många uppgifter. När det finns många uppgifter att hantera, kan det vara svårt att komma ihåg att slutföra alla uppgifter. Inom ett operationsteam på en hedgefond finns krav att alla värdepappersaffärer ska vara rapporterade innan dagens slut till rätt huvudmäklarfirma (prime brokerage). Denna uppsats undersöker forskningsfrågan: Hur kan ett GUI designas för att påminna och underlätta för användaren att verifiera att information om värdepappersaffärer har hanterats korrekt? Forskningen genomfördes på ett finansiellt företag och fokuserade på att underlätta arbetsflödet för en av företagets kunder och dess operationsteam. För att identifiera utmaningarna för en finansiell operatör genomfördes kontextuella intervjuer, vilka följdes av en designworkshop för att generera designidéer. Resultaten användes som inspiration till en prototyp för ett GUI. Prototypen utvärderades genom kognitiv genomgång (cognitive walkthrough), expertgranskning och med slutanvändare. Prototypen ansågs underlätta för finansiella operatörer att verifiera om det fanns kvarvarande uppgifter, men påminnelseaspekten skulle behöva undersökas ytterligare med ett fullt utvecklat system under en längre period.
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Books on the topic "Computer reminder"

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Voutilainen, Atro. Part-of-Speech Tagging. Edited by Ruslan Mitkov. Oxford University Press, 2012. http://dx.doi.org/10.1093/oxfordhb/9780199276349.013.0011.

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This article outlines the recently used methods for designing part-of-speech taggers; computer programs for assigning contextually appropriate grammatical descriptors to words in texts. It begins with the description of general architecture and task setting. It gives an overview of the history of tagging and describes the central approaches to tagging. These approaches are: taggers based on handwritten local rules, taggers based on n-grams automatically derived from text corpora, taggers based on hidden Markov models, taggers using automatically generated symbolic language models derived using methods from machine tagging, taggers based on handwritten global rules, and hybrid taggers, which combine the advantages of handwritten and automatically generated taggers. This article focuses on handwritten tagging rules. Well-tagged training corpora are a valuable resource for testing and improving language model. The text corpus reminds the grammarian about any oversight while designing a rule.
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Book chapters on the topic "Computer reminder"

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Gertsbakh, Ilya, and Yoseph Shpungin. "Probability-Reminder." In SpringerBriefs in Electrical and Computer Engineering, 1–9. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-15-1458-6_1.

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Lee, Kent D. "Appendix H: The Reminder! Program." In Undergraduate Topics in Computer Science, 221–23. London: Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-6642-9_15.

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Dugan, Casey, Aabhas Sharma, Michael Muller, Di Lu, Michael Brenndoerfer, and Werner Geyer. "RemindMe: Plugging a Reminder Manager into Email for Enhancing Workplace Responsiveness." In Human-Computer Interaction - INTERACT 2017, 392–401. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67684-5_24.

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Müller, Jörg, Oliver Paczkowski, and Antonio Krüger. "Situated Public News and Reminder Displays." In Lecture Notes in Computer Science, 248–65. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-76652-0_15.

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Irmak, Ahsen, Rafet Irmak, and Gonca Bumin. "Exercise Reminder Software for Office Workers." In Communications in Computer and Information Science, 410–14. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-22095-1_83.

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Ishibashi, Masashi, and Yoshio Nakatani. "Metadata-Based Reminder Classification in Reminiscence Engineering." In Lecture Notes in Computer Science, 412–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-02556-3_47.

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Shafti, Leila S., Pablo Alfonso Haya, Manuel García-Herranz, and Xavier Alamán. "Personal Ambient Intelligent Reminder for People with Cognitive Disabilities." In Lecture Notes in Computer Science, 383–90. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-35395-6_52.

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Liu, Siying, Yiqun Li, Aiyuan Guo, and Joo Hwee Lim. "Advertisement Image Recognition for a Location-Based Reminder System." In Lecture Notes in Computer Science, 421–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-17829-0_40.

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van Veldhoven, Erwin R., Martijn H. Vastenburg, and David V. Keyson. "Designing an Interactive Messaging and Reminder Display for Elderly." In Lecture Notes in Computer Science, 126–40. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-89617-3_9.

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Kim, KyeYoung, Byeong-Eon Ahn, Suk-Young Lim, Daejin Moon, and Dae-Soo Cho. "Information Reminder System Based on Word Registered by User." In Advances in Computer Science and Ubiquitous Computing, 932–36. Singapore: Springer Singapore, 2016. http://dx.doi.org/10.1007/978-981-10-3023-9_145.

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Conference papers on the topic "Computer reminder"

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Suwanthara, Juthada, Areena Noinongyao, and Sirion Vittayakorn. "WiseMed: Medication reminder for seniors." In 2019 23rd International Computer Science and Engineering Conference (ICSEC). IEEE, 2019. http://dx.doi.org/10.1109/icsec47112.2019.8974675.

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Ramljak, Milan. "Smart home medication reminder system." In 2017 25th International Conference on Software, Telecommunications and Computer Networks (SoftCOM). IEEE, 2017. http://dx.doi.org/10.23919/softcom.2017.8115585.

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Fang, Kerry, Heidi Bjering, and Anthony Maeder. "An avatar-based reminder application for medication adherence." In Annual International Conference on Computer Games Multimedia & Allied Technologies (CGAT 2016). Global Science & Technology Forum (GSTF), 2016. http://dx.doi.org/10.5176/2251-1679_cgat16.10.

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Nurnaningsih, Desi, Angga Aditya Permana, Salsabila Ramadhina, and Ahmad Rodoni. "Designing Shiyam Application: An Android-based Fasting Reminder." In 2020 7th International Conference on Electrical Engineering, Computer Sciences and Informatics (EECSI). IEEE, 2020. http://dx.doi.org/10.23919/eecsi50503.2020.9251891.

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Villanueva, Emmanuel Luis D., John De Guzman Tarampi, Alvin Joshua M. Cayetano, and Noel B. Linsangan. "Braille-based Pillbox for Visually Impaired with Audio Reminder." In 2020 4rd International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM). IEEE, 2020. http://dx.doi.org/10.1109/elticom50775.2020.9230519.

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Ronglong, Suthat, Chaiyawut Sookplang, Chonlameth Arpnikanondt, and Vajirasak Vanijja. "Design of a medication reminder and feedback system for Thai elders." In 2012 International Conference on Computer & Information Science (ICCIS). IEEE, 2012. http://dx.doi.org/10.1109/iccisci.2012.6297210.

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Li, Yujie, Yun Li, Bingqing Li, Huimin Lu, and Seiichi Serikawa. "Anti-lost Luggage Reminder System Using Electrically Conductive Fiber Antenna Tag." In 2016 International Symposium on Computer, Consumer and Control (IS3C). IEEE, 2016. http://dx.doi.org/10.1109/is3c.2016.17.

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"Handling Procrastination in Mobile Learning Environment - Proposal of Reminder Application for Mobile Devices." In 6th International Conference on Computer Supported Education. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004960702200225.

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Rosner, Daniel, Andrei-Tiberiu Jurba, Razvan Tataroiu, Constantin Ilas, Sorina Vasile, and Stefania Matei. "Wearable Medication Reminder Architecture Enhancement: Focus Group Based Assessment and Scenario Based Testing." In 2015 20th International Conference on Control Systems and Computer Science (CSCS). IEEE, 2015. http://dx.doi.org/10.1109/cscs.2015.139.

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"Arrival Time Estimation and Reminders on Public Bus System." In 2017 the 7th International Workshop on Computer Science and Engineering. WCSE, 2017. http://dx.doi.org/10.18178/wcse.2017.06.223.

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