Point-of-care blood tests in decision-making for people over 65 with acute frailty

2019 ◽  
Vol 11 (3) ◽  
pp. 106-114
Author(s):  
Melinda (Dolly) McPherson
Keyword(s):  
Decision Making ◽  
Point Of Care ◽  
Blood Tests

scholarly journals Paper-based analytical devices for point-of-care blood tests

2021 ◽  
Vol 15 (4) ◽  
pp. 041303
Author(s):  
Hao Yuan ◽  
Ping-Yeh Chiu ◽  
Chien-Fu Chen
Keyword(s):  
Point Of Care ◽  
Blood Tests

scholarly journals Personalized treatment options for chronic diseases using precision cohort analytics

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Kenney Ng ◽  
Uri Kartoun ◽  
Harry Stavropoulos ◽  
John A. Zambrano ◽  
Paul C. Tang
Keyword(s):  
Decision Making ◽  
Chronic Diseases ◽  
Primary Care Physicians ◽  
Treatment Guidelines ◽  
Point Of Care ◽  
Data Extraction ◽  
Treatment Options ◽  
Personalized Treatment ◽  
Medical Decision ◽  
Similarity Model

AbstractTo support point-of-care decision making by presenting outcomes of past treatment choices for cohorts of similar patients based on observational data from electronic health records (EHRs), a machine-learning precision cohort treatment option (PCTO) workflow consisting of (1) data extraction, (2) similarity model training, (3) precision cohort identification, and (4) treatment options analysis was developed. The similarity model is used to dynamically create a cohort of similar patients, to inform clinical decisions about an individual patient. The workflow was implemented using EHR data from a large health care provider for three different highly prevalent chronic diseases: hypertension (HTN), type 2 diabetes mellitus (T2DM), and hyperlipidemia (HL). A retrospective analysis demonstrated that treatment options with better outcomes were available for a majority of cases (75%, 74%, 85% for HTN, T2DM, HL, respectively). The models for HTN and T2DM were deployed in a pilot study with primary care physicians using it during clinic visits. A novel data-analytic workflow was developed to create patient-similarity models that dynamically generate personalized treatment insights at the point-of-care. By leveraging both knowledge-driven treatment guidelines and data-driven EHR data, physicians can incorporate real-world evidence in their medical decision-making process when considering treatment options for individual patients.

scholarly journals 1138. Script for Pediatrics: Creating a Smartphone Application to Improve Antimicrobial Prescribing

2019 ◽  
Vol 6 (Supplement_2) ◽  
pp. S405-S405
Author(s):  
Sarah Primhak ◽  
Natasha Pool ◽  
Gayl Humphrey ◽  
Lesley Voss ◽  
Rachel H Webb ◽  
...  
Keyword(s):  
Decision Making ◽  
Antimicrobial Stewardship ◽  
Point Of Care ◽  
Smartphone Application ◽  
Antibiotic Prescribing ◽  
Oral Antibiotic ◽  
Duration Of Treatment ◽  
Antibiotic Allergy ◽  
Alternative Agent ◽  
The Impact

Abstract Background When considering antimicrobial stewardship (AMS) interventions, pediatrics is an important and often overlooked group. By 5 years of age, 97% of New Zealand (NZ) children have received antibiotics (median 8 antibiotic courses/child). Prescribing is complex due to age and weight-based adjustments, unpalatable oral preparations and inappropriate allergy labeling. Our tertiary Children’s Hospital has >250 web-based nationally utilized guidelines, 15% including antimicrobials. A point prevalence audit showed only 63% guideline adherence for inpatient antimicrobial prescriptions. We designed an accessible app to bring antibiotic prescribing and antibiotic allergy decision-making to prescribers at point of care. Methods Using local hospital and community guidelines, the national formulary and in consultation with subspecialist teams, 31 algorithms were developed. Each algorithm asked questions including diagnosis, age, antibiotic allergy history and known colonization with-resistant organisms. Results The smartphone app (Script) uses the algorithms to advise on appropriate antimicrobial, dose, route and duration of treatment. Advice regarding IV-oral switch parameters and oral antibiotic choice is provided. If allergy is suspected symptom-based decision-making enables the user to choose an alternative agent or encourages allergy de-labeling. Further AMS occurs in some algorithms when advice is given not to prescribe antimicrobials. Conclusion Script for Pediatrics launched in NZ in March 2019 with >1000 users in the first 6 weeks. The most frequently accessed guidelines are otitis media, pneumonia and meningitis. Smartphone applications with local relevance and the ability to update in real-time may prove important tools, by providing easily accessible and intuitive advice to help support antimicrobial stewardship activities. This intervention has been rapidly adopted by pediatric hospital prescribers. The impact on prescribing in concordance with guidelines, timely intravenous to oral antibiotic switch and allergy de-labeling will be assessed. Disclosures All authors: No reported disclosures.

Point-of-care blood tests with microfluidics

Physics Today ◽  
2015 ◽  
Vol 68 (11) ◽  
pp. 19-19
Author(s):  
Richard J. Fitzgerald
Keyword(s):  
Point Of Care ◽  
Blood Tests

POCT errors can lead to false potassium results

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Antonio Buño ◽  
Paloma Oliver
Keyword(s):  
Decision Making ◽  
Clinical Decision Making ◽  
Clinical Laboratory ◽  
Point Of Care ◽  
Clinical Intervention ◽  
Clinical Decision ◽  
Whole Process ◽  
Severe Hyperkalemia ◽  
Wrong Diagnosis ◽  
Critical Patients

Abstract Point-of-care-testing (POCT) facilitates rapid availability of results that allows prompt clinical decision making. These results must be reliable and the whole process must not compromise its quality. Blood gas analyzers are one of the most used methods for POCT tests in Emergency Departments (ED) and in critical patients. Whole blood is the preferred sample, and we must be aware that hemolysis can occur. These devices cannot detect the presence of hemolysis in the sample, and because of the characteristics of the sample, we cannot visually detect it either. Hemolysis can alter the result of different parameters, including potassium with abnormal high results or masking low levels (hypokalemia) when reporting normal concentrations. Severe hyperkalemia is associated with the risk of potentially fatal cardiac arrhythmia and demands emergency clinical intervention. Hemolysis can be considered the most frequent cause of pseudohyperkalemia (spurious hyperkalemia) or pseudonormokalemia and can be accompanied by a wrong diagnosis and an ensuing inappropriate clinical decision making. A complete review of the potential causes of falsely elevated potassium concentrations in blood is presented in this article. POCT programs properly led and organized by the clinical laboratory can help to prevent errors and their impact on patient care.

Point of Care Ultrasound in Geriatric Patients: Prospective Evaluation of a Portable Handheld Ultrasound Device

2019 ◽  
Vol 41 (03) ◽  
pp. 308-316 ◽  
Author(s):  
Eckhart Fröhlich ◽  
Katharina Beller ◽  
Reinhold Muller ◽  
Maria Herrmann ◽  
Ines Debove ◽  
...  
Keyword(s):  
Decision Making ◽  
Geriatric Patients ◽  
Clinical Decision Making ◽  
Point Of Care ◽  
False Negative ◽  
Clinical Decision ◽  
Point Of Care Ultrasound ◽  
Handheld Device ◽  
Ultrasound Device ◽  
Handheld Ultrasound

Abstract Purpose The aim of the current study was to evaluate point of care ultrasound (POCUS) in geriatric patients by echoscopy using a handheld ultrasound device (HHUSD, VScan) at bedside in comparison to a high-end ultrasound system (HEUS) as the gold standard. Materials and Methods Prospective observational study with a total of 112 geriatric patients. The ultrasound examinations were independently performed by two experienced blinded examiners with a portable handheld device and a high-end ultrasound device. The findings were compared with respect to diagnostic findings and therapeutic implications. Results The main indications for the ultrasound examinations were dyspnea (44.6 %), fall (frailty) (24.1 %) and fever (21.4 %). The most frequently found diagnoses were cystic lesions 32.1 % (35/109), hepatic vein congestion 19.3 % (21/109) and ascites 13.6 % (15/110). HHUSD delivered 13 false-negative findings in the abdomen resulting in an “overall sensitivity” of 89.5 %. The respective “overall specificity” was 99.6 % (7 false-positive diagnoses). HHUSD (versus HEUS data) resulted in 13.6 % (17.3 %) diagnostically relevant procedures in the abdomen and 0.9 % (0.9 %) in the thorax. Without HHUSD (HEUS) 95.7 % (100 %) of important pathological findings would have been missed. Conclusion The small HHUSD tool improves clinical decision-making in immobile geriatric patients at the point of care (geriatric ward). In most cases, HHUSD allows sufficiently accurate yes/no diagnoses already at the bedside, thereby clarifying the leading symptoms for early clinical decision-making.

scholarly journals 34 Newborn Jaundice Screening Nomogram for Universal Screening in Saskatchewan

2020 ◽  
Vol 25 (Supplement_2) ◽  
pp. e13-e13
Author(s):  
Krista Baerg ◽  
Julie Smith-Fehr ◽  
Chel Lee
Keyword(s):  
Decision Making ◽  
Confidence Interval ◽  
Universal Screening ◽  
Point Of Care ◽  
Support Point ◽  
Paediatric Society ◽  
Tertiary Center ◽  
Action Thresholds ◽  
Care Decision

Abstract Background Transcutaneous (TcB) meters support clinical decision making at point-of-care, reduces nurses’ time to screen, decreases the frequency of painful blood draws and minimizes health care costs. Best practice for TcB screening is unknown and international guidelines vary. Meter bias may result in over- or underestimation of TSB in a Canadian population. The Canadian Paediatric Society suggests screening between 24 and by 72 hours of age and reducing total serum bilirubin (TSB) action thresholds by the 95th confidence interval of the meter. To support point-of-care decision making, a tertiary center and community follow-up program uses universal screening and follow-up protocols. ​ Objectives The aim of this analysis is to develop a locally validated TcB nomogram with action thresholds based on age and risk for clinical use at point-of-care. ​ Design/Methods This prospective cross-sectional study includes newborns ≥35 weeks gestation <14 days old requiring TSB sampling in hospital or community and 13 JM-105 meters. Participants are included if TcB reading ranges from 1-340µmol/L (0.1-20.0 mg/dL) and TSB is collected within 1 hour of TcB measurement. TSB samples are analyzed using Roche™ Bilirubin Total Gen.3. To measure how close the TcB reading is to TSB, the difference is found by subtracting TSB from mean TcB. Lin’s Concordance statistics are calculated for each meter. Using a 2-dimentional 95th Confidence Interval ellipse, we select 13 JM-105 meters with similar accuracy and precision for use by the universal screening program. Using a quadratic model we fit a line based on the lower 95th predictive interval of the grouped meter data collected from 13 meters to Canadian Paediatric Society low, medium and high risk TSB thresholds for intensive phototherapy. ​ Results The study population includes 498 newborns that received 620 visits and 705 meter readings with thirteen JM-105 with mean birth weight 3.38 kilograms (SD=0.51) with thirteen JM-105. Along with the clinical screening protocol, nomograms for newborns 35-37 weeks gestation (high and medium risk thresholds) and 38+ weeks gestation medium and low risk thresholds) are presented. Newborns with TcB that plots in a potential treatment range will receive a TSB to determine if intensive phototherapy is required. Conclusion To support point-of-care decision making, a tertiary center and community follow-up program uses universal screening and follow-up protocols. TcB nomograms with action thresholds based on age and risk support point-of-care decision making.

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