Abstract 391: Telemetry Talk: A Quality Improvement Initiative To Decrease Inappropriate Telemetry Use

2020 ◽  
Vol 13 (Suppl_1) ◽  
Author(s):  
Bruce Ferraro ◽  
Michael Tzeng ◽  
Muhammad Zaidi ◽  
Thang Nguyen ◽  
Annamaria Topakas ◽  
...  

Objectives: The purpose of this study was to identify the percentage of inappropriate telemetry and reduce inappropriate use via a multidisciplinary interventional approach. Background: Nationally studies have demonstrated that up to 43% of telemetry orders are inappropriate and do not change patient outcomes or clinical decision making. Overuse may also lead to unnecessary diagnostic workup, hospital costs, clinical duties, and even hospital divert status. Methods: Using the AHA guidelines and the TUH official policy, we created an updated table of appropriate telemetry indications (Table 1). We used the Epic telemetry column to identify active orders. Then, each patient’s chart was reviewed to determine whether the order was appropriate."We reviewed all active telemetry orders on our medicine services over four days. Results: Teaching services had 72/140 (51%) inappropriate orders while direct-care services had 4/19 (21%) inappropriate orders (Table 2). "Subspecialty teaching services had 10/15 (67%) inappropriate orders. Discussion: Inappropriate telemetry use is a systems-based, multidisciplinary problem requiring interventions at multiple levels Our goal was to reduce overall inappropriate telemetry use from 49% to 35% At our center, interventions underway include: Posting the indications on workstations, Encouraging “Time out for Tele!” review on rounds, Educating hospital teams, Additional Epic modifications. Conclusions: Inappropriate telemetry use on medicine services at our institution is higher than national averages. We increased physician awareness of orders and performed education on appropriate use. We plan to re-assess telemetry use at interval periods to assess for improvement.

PLoS ONE ◽  
2021 ◽  
Vol 16 (4) ◽  
pp. e0249791
Author(s):  
Nicola Sweeney ◽  
Blair Merrick ◽  
Rui Pedro Galão ◽  
Suzanne Pickering ◽  
Alina Botgros ◽  
...  

During the first wave of the global COVID-19 pandemic the clinical utility and indications for SARS-CoV-2 serological testing were not clearly defined. The urgency to deploy serological assays required rapid evaluation of their performance characteristics. We undertook an internal validation of a CE marked lateral flow immunoassay (LFIA) (SureScreen Diagnostics) using serum from SARS-CoV-2 RNA positive individuals and pre-pandemic samples. This was followed by the delivery of a same-day named patient SARS-CoV-2 serology service using LFIA on vetted referrals at central London teaching hospital with clinical interpretation of result provided to the direct care team. Assay performance, source and nature of referrals, feasibility and clinical utility of the service, particularly benefit in clinical decision-making, were recorded. Sensitivity and specificity of LFIA were 96.1% and 99.3% respectively. 113 tests were performed on 108 participants during three-week pilot. 44% participants (n = 48) had detectable antibodies. Three main indications were identified for serological testing; new acute presentations potentially triggered by recent COVID-19 e.g. pulmonary embolism (n = 5), potential missed diagnoses in context of a recent COVID-19 compatible illness (n = 40), and making infection control or immunosuppression management decisions in persistently SARS-CoV-2 RNA PCR positive individuals (n = 6). We demonstrate acceptable performance characteristics, feasibility and clinical utility of using a LFIA that detects anti-spike antibodies to deliver SARS-CoV-2 serology service in adults and children. Greatest benefit was seen where there is reasonable pre-test probability and results can be linked with clinical advice or intervention. Experience from this pilot can help inform practicalities and benefits of rapidly implementing new tests such as LFIAs into clinical service as the pandemic evolves.


Author(s):  
Vahé A. Kazandjian

Uncertainty in clinical decision-making is integral to the pathways chosen while applying available knowledge to a patient’s care process. This chapter explores the ways in which uncertainty can be incorporated into the understanding of better performance approaches, and is thus proposed as an enabling dimension of performance. Tracing the keystone definitions of uncertainty from Hippocrates to Osler, the discussion addresses the dimensions of decision - making appropriateness, its timeliness, the expected and actual value of the care services, and the role of systematic communication between providers of care as well as with patients. The crucial role of Health Information Technology is emphasized, and a unifying model is proposed where the inclusion of uncertainty as a dimension of performance promotes an encompassing evaluation of the quality of health care services.


Medical Care ◽  
1979 ◽  
Vol 17 (7) ◽  
pp. 727-736 ◽  
Author(s):  
John T. Nagurney ◽  
Robert L. Braham ◽  
George G. Reader

Author(s):  
Savvas Vlachos ◽  
Adrian Wong ◽  
Victoria Metaxa ◽  
Sergio Canestrini ◽  
Carmen Lopez Soto ◽  
...  

Background Coronavirus disease 2019 (COVID-19) had a significant impact on the National Health Service in the United Kingdom (UK), with over 33 000 cases reported in London by July 6, 2020. Detailed hospital-level information on patient characteristics, outcomes and capacity strain are currently scarce but would guide clinical decision-making and inform prioritisation and planning. Methods We aimed to determine factors associated with hospital mortality and describe hospital and ICU strain by conducting a prospective cohort study at a tertiary academic centre in London, UK. We included adult patients admitted to hospital with laboratory-confirmed COVID-19 and followed them up until hospital discharge or 30 days. Baseline factors that are associated with hospital mortality were identified via semi-parametric and parametric survival analyses. Results Our study included 429 patients; 18% of them were admitted to ICU, 52% met criteria for ICU outreach team activation and 61% had treatment limitations placed during their admission. Hospital mortality was 26% and ICU mortality was 34%. Hospital mortality was independently associated with increasing age, male sex, history of chronic kidney disease, increasing baseline C-reactive protein level and dyspnoea at presentation. COVID-19 resulted in substantial ICU and hospital strain, with up to 9 daily ICU admissions and 41 daily hospital admissions, to a peak census of 80 infected patients admitted in ICU and 250 in the hospital. Management of such a surge required extensive reorganisation of critical care services with expansion of ICU capacity from 69 to 129 beds, redeployment of staff from other hospital areas and coordinated hospital-level effort. Conclusions COVID-19 is associated with a high burden of mortality for patients treated on the ward and the ICU and required substantial reconfiguration of critical care services. This has significant implications for planning and resource utilization. 


Author(s):  
Geetha Poornima K. ◽  
Krishna Prasad K.

Internet of Thing (IoT) has influenced several fields these days. Healthcare is one among them. The field of health care has been changed forever with the help of smart devices, wearable along with the overall level of inventions and connectivity in terms of the modern medical equipment. IoT, Cloud computing and other emerging technologies use data from different devices distributed across the network. Among those applications that are facilitated by the IoT, applications related to health care are most significant ones. Predictive analysis is carried out on the real-time data of patients to analyze their current situation for the purpose of effective and accurate clinical-decision making. Generally, internet of thing has been extensively utilized for interconnecting the advanced medical resource as well as for providing effective and smart health care services to the people. In order to monitor the condition of the patient, advanced sensors can be embedded or worn within the patient’s body. The data accumulated to such an extent that those data can be examined, aggregated as well as mined to do the initial predictions of diseases. Moreover, physicians are assisted by the processing algorithm for the personalization of treatment and at the same time thereby making the field of heath care more economical. This literature review is carried out by using the secondary data obtained from peer-reviewed journals and other sources on the web. This review aims to explain the use of IoT for providing smart healthcare solutions. The limitation of this study is that the major focus is on application side there by excluding the hardware and theoretical aspects related to the subject.


2015 ◽  
Vol 25 (1) ◽  
pp. 50-60
Author(s):  
Anu Subramanian

ASHA's focus on evidence-based practice (EBP) includes the family/stakeholder perspective as an important tenet in clinical decision making. The common factors model for treatment effectiveness postulates that clinician-client alliance positively impacts therapeutic outcomes and may be the most important factor for success. One strategy to improve alliance between a client and clinician is the use of outcome questionnaires. In the current study, eight parents of toddlers who attended therapy sessions at a university clinic responded to a session outcome questionnaire that included both rating scale and descriptive questions. Six graduate students completed a survey that included a question about the utility of the questionnaire. Results indicated that the descriptive questions added value and information compared to using only the rating scale. The students were varied in their responses regarding the effectiveness of the questionnaire to increase their comfort with parents. Information gathered from the questionnaire allowed for specific feedback to graduate students to change behaviors and created opportunities for general discussions regarding effective therapy techniques. In addition, the responses generated conversations between the client and clinician focused on clients' concerns. Involving the stakeholder in identifying both effective and ineffective aspects of therapy has advantages for clinical practice and education.


2009 ◽  
Vol 14 (1) ◽  
pp. 4-11 ◽  
Author(s):  
Jacqueline Hinckley

Abstract A patient with aphasia that is uncomplicated by other cognitive abilities will usually show a primary impairment of language. The frequency of additional cognitive impairments associated with cerebrovascular disease, multiple (silent or diagnosed) infarcts, or dementia increases with age and can complicate a single focal lesion that produces aphasia. The typical cognitive profiles of vascular dementia or dementia due to cerebrovascular disease may differ from the cognitive profile of patients with Alzheimer's dementia. In order to complete effective treatment selection, clinicians must know the cognitive profile of the patient and choose treatments accordingly. When attention, memory, and executive function are relatively preserved, strategy-based and conversation-based interventions provide the best choices to target personally relevant communication abilities. Examples of treatments in this category include PACE and Response Elaboration Training. When patients with aphasia have co-occurring episodic memory or executive function impairments, treatments that rely less on these abilities should be selected. Examples of treatments that fit these selection criteria include spaced retrieval and errorless learning. Finally, training caregivers in the use of supportive communication strategies is helpful to patients with aphasia, with or without additional cognitive complications.


2011 ◽  
Vol 20 (4) ◽  
pp. 121-123
Author(s):  
Jeri A. Logemann

Evidence-based practice requires astute clinicians to blend our best clinical judgment with the best available external evidence and the patient's own values and expectations. Sometimes, we value one more than another during clinical decision-making, though it is never wise to do so, and sometimes other factors that we are unaware of produce unanticipated clinical outcomes. Sometimes, we feel very strongly about one clinical method or another, and hopefully that belief is founded in evidence. Some beliefs, however, are not founded in evidence. The sound use of evidence is the best way to navigate the debates within our field of practice.


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