On-line computer pharmacokinetics program: lessons learned from its failure

1995 ◽  
Vol 41 (4) ◽  
pp. 491-494
Author(s):  
D M Baer ◽  
M L Kotschi
Keyword(s):  
Decision Support ◽  
Data Entry ◽  
Lessons Learned ◽  
Working Environment ◽  
Successful Implementation ◽  
Major Barrier ◽  
Drug Dosing ◽  
Specimen Collection ◽  
On Line ◽  
Manual Data Entry

Abstract Decision support computer technology (DST) embedded in laboratory or hospital information systems has great potential but has rarely been successful. Through studying a pharmacokinetic program that automatically extracted data without requiring manual data entry, we have identified several barriers to the successful implementation of DST. Manual data entry is a major barrier, but so is the entry of erroneous data such as heights, weights, drug dosing times, and specimen collection times. In such a system, unanticipated changed modes of clinical practice and software changes in the system's component modules can be incompatible with the decision-support program, necessitating software revisions. We also noted that clinicians increased their ordering of laboratory tests and changes in drug doses but without improvement in patients' outcomes. This suggests that information output from the program can be misinterpreted by clinicians. In summary, DST programs should be validated in an actual working environment.

A Study on Learners’ Readiness and Perceptions of the Implementation of Blended Learning in UiTM Kedah

2019 ◽  
Vol 3 (2) ◽  
pp. 41
Author(s):  
Robekhah Harun ◽  
Zetty Harisha Harun ◽  
Laura Christ Dass
Keyword(s):  
Blended Learning ◽  
Successful Implementation ◽  
Learning Approaches ◽  
Learner Readiness ◽  
Learning And Teaching ◽  
Face To Face ◽  
Online Assessments ◽  
Research Findings ◽  
On Line ◽  
Learning Institutions

The increase in student enrolment and the need  to cater to students of diverse backgrounds have led to the adoption of blended learning in many higher learning institutions. Blended learning, which allows both face to face interaction and on-line delivery, has been adopted into many curricula. One such institution is University Technology MARA which is slowly introducing features of blended learning in its course syllabus beginning with practice to online assessments. However, to ensure successful implementation of blended learning as part of the curricula, there are several aspects for consideration such as learner and teacher readiness for blended learning. This paper examines issues regarding the use of blended learning as a delivery method at UiTM Kedah . The discussion in this paper focuses on learner’ readiness and perceptions of the blended learning environment. The data collected for this study are responses from learners to a questionnaire survey. The research findings form the basis for recommendations for the development of learning and teaching practices using blended learning approaches to enhance learners' learning experiences.  

Malignant hyperthermia susceptibility: utilization of genetic results in an electronic medical record to increase safety

2020 ◽  
Vol 21 (17) ◽  
pp. 1207-1215
Author(s):  
Jordan F Baye ◽  
Natasha J Petry ◽  
Shauna L Jacobson ◽  
Michelle M Moore ◽  
Bethany Tucker ◽  
...  
Keyword(s):  
Decision Support ◽  
Malignant Hyperthermia ◽  
Clinical Decision Support ◽  
Perioperative Complications ◽  
Implementation Strategies ◽  
Clinical Decision ◽  
Lessons Learned ◽  
Malignant Hyperthermia Susceptibility ◽  
Alert System ◽  
Genotyping Platform

Aim: This manuscript describes implementation of clinical decision support for providers concerned with perioperative complications of malignant hyperthermia susceptibility. Materials & methods: Clinical decision support for malignant hyperthermia susceptibility was implemented in 2018 based around our pre-emptive genotyping platform. We completed a brief descriptive review of patients who underwent pre-emptive testing, focused particularly on RYR1 and CACNA1S genes. Results: To date, we have completed pre-emptive genetic testing on more than 10,000 patients; 13 patients having been identified as a carrier of a pathogenic or likely pathogenic variant of RYR1 or CACNA1S. Conclusion: An alert system for malignant hyperthermia susceptibility – as an extension of our pre-emptive genomics platform – was implemented successfully. Implementation strategies and lessons learned are discussed herein.

scholarly journals Assessing a Decision Support Tool for SOC Analysts

2021 ◽  
Author(s):  
Jassim Happa ◽  
Ioannis Agrafiotis ◽  
Martin Helmhout ◽  
Thomas Bashford-Rogers ◽  
Michael Goldsmith ◽  
...  
Keyword(s):  
Decision Support ◽  
Mixed Method ◽  
User Study ◽  
Situational Awareness ◽  
Decision Support Tool ◽  
Lessons Learned ◽  
Visualization Tool ◽  
Support Tool ◽  
Response Strategies ◽  
Method Approach

In recent years, many tools have been developed to understand attacks that make use of visualization, but few examples aims to predict real-world consequences. We have developed a visualization tool that aims to improve decision support during attacks. Our tool visualizes propagation of risks from IDS and AV-alert data by relating sensor alerts to Business Process (BP) tasks and machine assets: an important capability gap present in many Security Operation Centres (SOCs) today. In this paper we present a user study in which we evaluate the tool's usability and ability to deliver situational awareness to the analyst. Ten analysts from seven SOCs performed carefully designed tasks related to understanding risks and prioritising recovery decisions. The study was conducted in laboratory conditions, with simulated attacks, and used a mixed-method approach to collect data from questionnaires, eyetracking and voice-recorded interviews. The findings suggest that providing analysts with situational awareness relating to business priorities can help them prioritise response strategies. Finally, we provide an in-depth discussion on the wider questions related to user studies in similar conditions as well as lessons learned from our user study and developing a visualization tool of this type.

scholarly journals Bridging Science and Practice-Importance of Stakeholders in the Development of Decision Support: Lessons Learned

2021 ◽  
Vol 13 (10) ◽  
pp. 5744
Author(s):  
Innocent K. Tumwebaze ◽  
Joan B. Rose ◽  
Nynke Hofstra ◽  
Matthew E. Verbyla ◽  
Daniel A. Okaali ◽  
...  
Keyword(s):  
Decision Support ◽  
Stakeholder Participation ◽  
Scientific Data ◽  
Lessons Learned ◽  
Future Research ◽  
Decision Support Tools ◽  
Local Data ◽  
Funding Sources ◽  
Sanitation And Hygiene ◽  
Support Tools

User-friendly, evidence-based scientific tools to support sanitation decisions are still limited in the water, sanitation and hygiene (WASH) sector. This commentary provides lessons learned from the development of two sanitation decision support tools developed in collaboration with stakeholders in Uganda. We engaged with stakeholders in a variety of ways to effectively obtain their input in the development of the decision support tools. Key lessons learned included: tailoring tools to stakeholder decision-making needs; simplifying the tools as much as possible for ease of application and use; creating an enabling environment that allows active stakeholder participation; having a dedicated and responsive team to plan and execute stakeholder engagement activities; involving stakeholders early in the process; having funding sources that are flexible and long-term; and including resources for the acquisition of local data. This reflection provides benchmarks for future research and the development of tools that utilize scientific data and emphasizes the importance of engaging with stakeholders in the development process.

scholarly journals Barriers to the Digitization of Health Information: A Qualitative and Quantitative Study in Kenya and Lao PDR Using a Cloud-Based Maternal and Child Registration System

2021 ◽  
Vol 18 (12) ◽  
pp. 6196
Author(s):  
Tarek Numair ◽  
Daniel Toshio Harrell ◽  
Nguyen Tien Huy ◽  
Futoshi Nishimoto ◽  
Yvonne Muthiani ◽  
...  
Keyword(s):  
Health Information ◽  
Financial Incentives ◽  
High Performance ◽  
Digital Health ◽  
Lao Pdr ◽  
Data Entry ◽  
Working Environment ◽  
Framework Analysis ◽  
Registration System ◽  
Low Middle Income Countries

Digitalization of health information can assist patient information management and improve health services even in low middle-income countries. We have implemented a mother and child health registration system in the study areas of Kenya and Lao PDR to evaluate barriers to digitalization. We conducted in-depth interviews with 20 healthcare workers (HCWs) who used the system and analyzed it qualitatively with thematic framework analysis. Quantitatively, we analyzed the quality of recorded data according to missing information by the logistic regression analysis. The qualitative analysis identified six themes related to digitalization: satisfaction with the system, mothers’ resistance, need for training, double work, working environment, and other resources. The quantitative analysis showed that data entry errors improved around 10% to 80% based on odds ratios in subsequent quarters compared to first quarter periods. The number of registration numbers was not significantly related to the data quality, but the motivation, including financial incentives among HCWs, was related to the registration behavior. Considering both analysis results, workload and motivation to maintain high performance were significant obstacles to implementing a digital health system. We recommend enhancing the scope and focus on human needs and satisfaction as a significant factor for digital system durability and sustainability.

ILIS--An integrated laboratory information system. I. Biochemistry and hematology.

1982 ◽  
Vol 28 (2) ◽  
pp. 271-276 ◽  
Author(s):  
S U Deshpande
Keyword(s):  
Medical Records ◽  
Data Entry ◽  
Large Data ◽  
Work Load ◽  
Processing Unit ◽  
Patient Identification ◽  
Central Processing ◽  
Cathode Ray Tubes ◽  
Clinical Laboratories ◽  
On Line

Abstract IBM System 34 (central processing unit, 128 kilobytes; fixed disks, 128.4 megabytes) with seven cathode-ray tubes has been used by our clinical laboratories for the last 30 months. All data-entry programs are in a conversational mode, for on-line corrections of possible errors in patient identification and results. Daily reports are removed from the medical records after temporary and permanent cumulative weekly reports are received, which keep a three-month track of the results. The main advantages of the system are: (a) the increasing laboratory work load can be handled with the same staff; (b) the volume of the medical record files on the patients is decreased; (c) an easily retrievable large data base of results is formed for research purposes; (d) faster billing; and (e) the computer system is run without engaging any additional staff.

A project control process in pre‐construction phases

2005 ◽  
Vol 12 (4) ◽  
pp. 351-372 ◽  
Author(s):  
Khaled Al‐Reshaid ◽  
Nabil Kartam ◽  
Narendra Tewari ◽  
Haya Al‐Bader
Keyword(s):  
Construction Projects ◽  
Joint Venture ◽  
Control Process ◽  
Time Frame ◽  
Lessons Learned ◽  
Successful Implementation ◽  
Project Control ◽  
Construction Stage ◽  
Kuwait University ◽  
Content Type

PurposeIt is a well‐known fact that the construction industry always passes through two distinctive problems during the construction stage: slippages of project‐schedules, i.e. time‐frame, and overruns of project‐costs, i.e. budget. However, limited literature is available to solve or dilute these two problems before they even occur. It is strongly believed that the bulk of the two mentioned problems can be mitigated to a great extent, if not eliminated, provided that proper attention is paid to the pre‐construction phases of projects. Normally projects are implemented through traditionally old techniques which generally emphasize only solving “construction problems during the construction phase”. The aim of this article is therefore to unveil a professional methodology known as Project Control System (PCS) focusing on pre‐construction phases of construction projects.Design/methodology/approachIn this article, the authors share the lessons learned during implementation of Kuwait University projects worth approximately $400 million in a span of ten years. The task of the project management/construction management (PM/CM) is being provided to the university by a joint venture team of international and local specialists.FindingsThe pre‐construction methodology ensures smooth and successful implementation during construction phases of the projects as they are generally executed in a fast‐pace, deadline‐driven and cost‐conscious environment. The intuitive proactive methods, if implemented during pre‐construction stage, automatically answer the questions that are encountered during the execution periods of projects.Originality/valueIn this article, the authors share the lessons learned during PM/CM during projects over a span of ten years, which could be of use to others.

Lessons Learned From Data Mining, Decision Support and Collaboration

2003 ◽  
pp. 237-246
Author(s):  
Dunja Mladenić ◽  
Nada Lavrač ◽  
Marko Bohanec
Keyword(s):  
Data Mining ◽  
Decision Support ◽  
Lessons Learned
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