Multidisciplinary Approach to Critical Care Design

Author(s):  
Yuval Bitan ◽  
Roy Ilan ◽  
Steven D. Harris ◽  
Keith S. Karn

The goal of this project is to improve clinical decision-making in the intensive care unit (ICU) environment. Making the optimal decisions depends on the quality and timeliness of the information available to the clinician. We believe that healthcare professionals will make better clinical decisions when the relevant information is collected and organized in a manner appropriate to support in situ decision-making. This is especially important in complex situations such those commonly encountered in the ICU environment. Currently there is no single integrated source of information that presents relevant information to clinicians. This project is developing methods to identify the core information required to engineer the information exchange among medical devices, and the information presentation layer, to support clinical decision-making in the ICU.


2020 ◽  
Author(s):  
Philip Scott ◽  
Elisavet Andrikopoulou ◽  
Haythem Nakkas ◽  
Paul Roderick

Background: The overall evidence for the impact of electronic information systems on cost, quality and safety of healthcare remains contested. Whilst it seems intuitively obvious that having more data about a patient will improve care, the mechanisms by which information availability is translated into better decision-making are not well understood. Furthermore, there is the risk of data overload creating a negative outcome. There are situations where a key information summary can be more useful than a rich record. The Care and Health Information Exchange (CHIE) is a shared electronic health record for Hampshire and the Isle of Wight that combines key information from hospital, general practice, community care and social services. Its purpose is to provide clinical and care professionals with complete, accurate and up-to-date information when caring for patients. CHIE is used by GP out-of-hours services, acute hospital doctors, ambulance service, GPs and others in caring for patients. Research questions: The fundamental question was How does awareness of CHIE or usage of CHIE affect clinical decision-making? The secondary questions were What are the latent benefits of CHIE in frontline NHS operations? and What is the potential of CHIE to have an impact on major NHS cost pressures? The NHS funders decided to focus on acute medical inpatient admissions as the initial scope, given the high costs associated with hospital stays and the patient complexities (and therefore information requirements) often associated with unscheduled admissions. Methods: Semi-structured interviews with healthcare professionals to explore their experience about the utility of CHIE in their clinical scenario, whether and how it has affected their decision-making practices and the barriers and facilitators for their use of CHIE. The Framework Method was used for qualitative analysis, supported by the software tool Atlas.ti. Results: 21 healthcare professionals were interviewed. Three main functions were identified as useful: extensive medication prescribing history, information sharing between primary, secondary and social care and access to laboratory test results. We inferred two positive cognitive mechanisms: knowledge confidence and collaboration assurance, and three negative ones: consent anxiety, search anxiety and data mistrust. Conclusions: CHIE gives clinicians the bigger picture to understand the patient's health and social care history and circumstances so as to make confident and informed decisions. CHIE is very beneficial for medicines reconciliation on admission, especially for patients that are unable to speak or act for themselves or who cannot remember their precise medication or allergies. We found no clear evidence that CHIE has a significant impact on admission or discharge decisions. We propose the use of recommender systems to help clinicians navigate such large volumes of patient data, which will only grow as additional data is collected.



BMC Nursing ◽  
2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Fen-Fang Chung ◽  
Pao-Yu Wang ◽  
Shu-Chuan Lin ◽  
Yu-Hsia Lee ◽  
Hon-Yen Wu ◽  
...  

Abstract Background Shared decision making (SDM) is a patient-centered nursing concept that emphasizes the autonomy of patients. SDM is a co-operative process that involves information exchange and communication between medical staff and patients for making treatment decisions. In this study, we explored the experiences of clinical nursing staff participating in SDM. Methods This study adopted a qualitative research design. Semistructured interviews were conducted with 21 nurses at a medical center in northern Taiwan. All interview recordings were transcribed verbatim. Content analysis was performed to analyze the data. Results The findings yielded the following three themes covering seven categories: knowledge regarding SDM, trigger discussion and coordination, and respect of sociocultural factors. Conclusions The results of this study describe the experiences of clinical nursing staff participating in SDM and can be used as a reference for nursing education and nursing administrative supervisors wishing to plan and enhance professional nursing SDM in nursing education.



PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0245632
Author(s):  
Natasha Janke ◽  
Jason B. Coe ◽  
Theresa M. Bernardo ◽  
Cate E. Dewey ◽  
Elizabeth A. Stone

One of the most complex aspects of the veterinarian-client-patient interaction is the clinical decision-making process. Research suggests that the approach to communication used by veterinarians can impact veterinary clients’ involvement in the decision-making process and their ultimate satisfaction. Using different approaches to the decision-making process may affect how information is exchanged and consequently how decisions are made. The objective of this study was to determine pet owners’ expectations with respect to information exchange and decision-making during veterinarian-client-patient interactions and to compare veterinarians’ perceptions of those expectations and the challenges they face in meeting them. Five pet owner focus groups (27 owners) and three veterinarian focus groups (24 veterinarians) were conducted with standardized open-ended questions and follow-up probes. Thematic analysis of the transcribed data was conducted to identify trends and patterns that emerged during the focus groups. Three pet owner-based themes were identified: 1) understanding the client; 2) providing information suitable for the client; and 3) decision-making. In addition, three barriers for veterinarians affecting information exchange and decision-making were identified: 1) time constraints; 2) involvement of multiple clients; and 3) language barriers. Results suggest that pet owners expect to be supported by their veterinarian to make informed decisions by understanding the client’s current knowledge, tailoring information and educating clients about their options. Breakdowns in the information exchange process can impact pet owners’ perceptions of veterinarians’ motivations. Pet owners’ emphasis on partnership suggests that a collaborative approach between veterinarians and clients may improve client satisfaction.



2018 ◽  
Vol 16 ◽  
pp. 213-217 ◽  
Author(s):  
Charles Kaboré ◽  
Valéry Ridde ◽  
Séni Kouanda ◽  
Alexandre Dumont


2021 ◽  
Vol 13 ◽  
pp. 117957352198915
Author(s):  
Michael Schroeter ◽  
Benjamin Berger ◽  
Franz Blaes ◽  
Tim Hagenacker ◽  
Sebastian Jander ◽  
...  

Background and purpose: In 2017, eculizumab has been approved for treatment-refractory generalised myasthenia gravis (TRgMG). The German Myasthenia Foundation has published a consensus statement on the use of eculizumab, with a recent update. However, a treatment-refractory state is still ill-defined and the term warrants further clarification. We aimed at developing a sum score to operationalise the definition of a TRgMG status, which is easy- to-handle in clinical decision making. Methods: We established a structured consensus process according to the Delphi consensus methodology, with 12 members of the medical advisory board of the German Myasthenia Foundation. Accordingly, 4 consensus rounds were accomplished. Additionally, a literature survey covering the years 2004-2020 was done and relevant information offered to the consensus group. Consensus criteria were predefined. In the consensus process the relative importance of scoring items were to be consented, with a sum score of 20 and above indicating a TRgMG status. Results: The sum score considers the categories disease severity, inefficiency of antecedent therapies, cessation of therapies due to side effects, and long term stay on the intensive care unit. Categories were specified by a total of 13 scoring items. Eventually, the Delphi process developed an unanimous scoring consensus. Conclusion: We suggest a sum score to define treatment refractory state in generalised myasthenia gravis. Beyond clarifying the indication of eculizumab, this easy-to-handle score facilitates clinical decision making and offers new inclusion criteria for clinical studies that explore new therapeutic perspectives in myasthenia gravis treatment.



2017 ◽  
Vol 124 (3) ◽  
pp. e212-e213
Author(s):  
A. FLORES-HIDALGO ◽  
S. LIM ◽  
A. CURRAN ◽  
R. PADILLA ◽  
V. MURRAH




2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Jeong Hoon Lee ◽  
Solbi Kweon ◽  
Yu Rang Park

AbstractGenetic variants causing underlying pharmacogenetic and disease phenotypes have been used as the basis for clinical decision-making. However, due to the lack of standards for next-generation sequencing (NGS) pipelines, reproducing genetic variants among institutions is still difficult. The aim of this study is to show how many important variants for clinical decisions can be individually detected using different pipelines. Genetic variants were derived from 105 breast cancer patient target DNA sequences via three different variant-calling pipelines. HaplotypeCaller, Mutect2 tumor-only mode in the Genome Analysis ToolKit (GATK), and VarScan were used in variant calling from the sequence read data processed by the same NGS preprocessing tools using Variant Effect Predictor. GATK HaplotypeCaller, VarScan, and MuTect2 found 25,130, 16,972, and 4232 variants, comprising 1491, 1400, and 321 annotated variants with ClinVar significance, respectively. The average number of ClinVar significant variants in the patients was 769.43, 16.50% of the variants were detected by only one variant caller. Despite variants with significant impact on clinical decision-making, the detected variants are different for each algorithm. To utilize genetic variants in the clinical field, a strict standard for NGS pipelines is essential.



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