Technology developments applied to healthcare/nursing

Future technology developments as applied to healthcare and particularly nursing were discussed. Emerging technologies such as genetics, small unobtrusive monitoring devices, use of information and communication technologies are as tools to not only facilitate but also promote communication among all parties of the healthcare process. These emerging technologies can be used for ubiquitous healthcare (uhealth). The role of nursing in the u-health is fundamental and required for success and growth. Nursing's role will evolve as nurses become 'information- mediators' in a broader-sense than current role. All technologies will ultimately focus on the consumer through 'behind-the-scenes' data collection, which in turn will also allow nurses to analyze these data to improve care. We need to acknowledge an increased presence and or pervasiveness of information technologies as key components of quality healthcare. This sort of acknowledgment will help propel nursing, and healthcare, to increase use of these tools. To develop nurses with these types of skills the nursing education process will require a fundamental change to integrate these technology-sorts of tools as necessary elements for success.info:eu-repo/semantics/publishedVersio

Biomedical Wireless Sensor Network – phase II

-Care for patients in advanced intra-hospital clinical environments as operating rooms and critical care environments like dedicated intensive care units, requires use of an increasing number of point-of-care medical devices with sensors attached to the patient to monitor and generate information for clinical decision making to support vital processes. Monitoring implies automated detection impending life-threatening situations, imminent danger or diagnostic entities by collection of, and serial evaluation of time-stamped data. In the hands of human clinical experts such information is assessed and combined with the individual patient’s context to facilitate mitigation of physiological derangement by rapid titration of patient therapy and prevention of adverse events eventually leading to improved patient outcome. This project developed, implemented and tested a multi sensor, vendor independent biomedical sensor network for the future wireless hospital and home care scenarios. The sensors came from six different Scandinavian sensor developers. All sensors were implemented on a commercial software platform and were tested in a hospital environment. The project consortium represented a unique transnational value chain, crossing Denmark, Finland, Norway and Sweden’s borders. The project was funded by the Nordic Innovation Centre (NICe) and Svensk-Norsk Næringslivssamarbeid (SNN). Oppdragsgiver: Nordic Innovation Centre ; Svensk-Norsk Næringslivssamarbei

Biomedical Wireless Sensor Network – phase II

-Care for patients in advanced intra-hospital clinical environments as operating rooms and critical care environments like dedicated intensive care units, requires use of an increasing number of point-of-care medical devices with sensors attached to the patient to monitor and generate information for clinical decision making to support vital processes. Monitoring implies automated detection impending life-threatening situations, imminent danger or diagnostic entities by collection of, and serial evaluation of time-stamped data. In the hands of human clinical experts such information is assessed and combined with the individual patient’s context to facilitate mitigation of physiological derangement by rapid titration of patient therapy and prevention of adverse events eventually leading to improved patient outcome. This project developed, implemented and tested a multi sensor, vendor independent biomedical sensor network for the future wireless hospital and home care scenarios. The sensors came from six different Scandinavian sensor developers. All sensors were implemented on a commercial software platform and were tested in a hospital environment. The project consortium represented a unique transnational value chain, crossing Denmark, Finland, Norway and Sweden’s borders. The project was funded by the Nordic Innovation Centre (NICe) and Svensk-Norsk Næringslivssamarbeid (SNN). Oppdragsgiver: Nordic Innovation Centre ; Svensk-Norsk Næringslivssamarbei

Event Modeling and Processing to Simplify Real-Time Analysis of Physiological Signals

Recent developments in wireless sensors to measure physiological parameters and environmental parameters enable a new generation of applications for health monitoring. However, the complexity of many physiological signals and the need to process sensor data in real-time makes programming such applications a challenging task. This chapter motivates the need to step-wise reduce the complexity of sensor data to enable medical experts to tailor and develop (parts of) applications without having in depth programming skills. To achieve this goal, a methodology for application development with real-time sensor data processing is presented. The methodology is based on the concepts of physical and logical sensors, which can detect atomic and composite events. The combination of using the declarative approach of Complex Event Processing and modularization allows processing most data in the event space instead of signal processing. A use case for a home care application demonstrates the strength of this methodology

Open versus laparoscopic liver resection for colorectal liver metastases (the Oslo-CoMet study): study protocol for a randomized controlled trial

Background Laparoscopic liver resection is used in specialized centers all over the world. However, laparoscopic liver resection has never been compared with open liver resection in a prospective, randomized trial. Methods/Design The Oslo-CoMet Study is a randomized trial into laparoscopic versus open liver resection for the surgical management of hepatic colorectal metastases. The primary outcome is 30-day perioperative morbidity. Secondary outcomes include 5-year survival (overall, disease-free and recurrence-free), resection margins, recurrence pattern, postoperative pain, health-related quality of life, and evaluation of the inflammatory response. A cost-utility analysis of replacing open surgery with laparoscopic surgery will also be performed. The study includes all resections for colorectal liver metastases, except formal hemihepatectomies, resections where reconstruction of vessels/bile ducts is necessary and resections that need to be combined with ablation. All patients will participate in an enhanced recovery after surgery program. A biobank of liver and tumor tissue will be established and molecular analysis will be performed. Discussion After 35 months of recruitment, 200 patients have been included in the trial. Molecular and immunology data are being analyzed. Results for primary and secondary outcome measures will be presented following the conclusion of the study (late 2015). The Oslo-CoMet Study will provide the first level 1 evidence on the benefits of laparoscopic liver resection for colorectal liver metastases

Dairy products influence gut hormone secretion and appetite differently: A randomized controlled crossover trial

Little is known about how dairy products with different nutrient contents and food matrices affect appetite sensation and gut hormone secretion. The objective of this study was to investigate how appetite sensation and gut hormone secretion in healthy adults are affected by meals with the same amount of fat but from different dairy products. Forty-seven healthy adults (70% women) were recruited to a randomized controlled crossover study with 4 dairy meals consisting of butter, cheese, whipped cream, or sour cream, corresponding to 45 g (approximately 60 energy percent) of fat. Plasma samples were collected for analysis of cholecystokinin (CCK), pancreatic polypeptide (PP), peptide YY (PYY), and ghrelin concentrations at 0, 2, 4, and 6 h after the meals and analyzed as the incremental area under the curve (iAUC0–6h) in a mixed model. Hunger, satiety, and appetite sensations were measured with a visual analog scale (VAS) immediately after finishing the meals and at 4 and 6 h postprandially. Intake of cheese induced a higher level of plasma PP-iAUC0–6h compared with butter or whipped cream, and a higher level of plasma CCK-iAUC0–6h compared with whipped cream. Intake of whipped cream increased VAS appetite at 4 h compared with cheese or sour cream, and at 6 h compared with cheese or butter. No significant meal effect was found for hunger, satiety, plasma PYY, or plasma ghrelin concentration. Intake of cheese increased postprandial plasma PP and CCK concentrations and decreased appetite compared with whipped cream but not with sour cream. These findings encourage further investigations of how different dairy products affect gut hormone secretion and appetite sensation

Meals with similar fat content from different dairy products induce different postprandial triglyceride responses in healthy adults:a randomized controlled cross-over trial

Abstract Background: Postprandial lipemia is a risk factor for cardiovascular disease. Dairy products differ in nutrient content and food matrix, and little is known about how different dairy products affect postprandial triglyceride (TG) concentrations. Objective: We investigated the effect of meals with similar amounts of fat from different dairy products on postprandial TG concentrations over 6 h in healthy adults. Methods: A randomized controlled cross-over study was performed on 47 subjects (30% men), with median (25th–75th percentile) age of 32 (25–46) y and body mass index of 23.6 (21.0–25.8) kg/m². Meals included 1 of butter, cheese, whipped cream, or sour cream, corresponding to 45 g of fat (approximately 60 energy%). Serum concentrations of TGs (primary outcome), and total cholesterol (TC), low density lipoprotein cholesterol (LDL cholesterol), high density lipoprotein cholesterol (HDL cholesterol), insulin, glucose, non-esterified fatty acids, and plasma glucose-dependent insulinotropic polypeptide (secondary outcomes) were measured before the meal and 2, 4, and 6 h postprandially. Incremental AUC (iAUC) was calculated for the responses, and data were analyzed using a linear mixed model. Results: Sour cream induced a 61% larger TG-iAUC0–6 h compared to whipped cream (P < 0.001), a 53% larger TG-iAUC0–6 h compared to butter (P < 0.001), and a 23% larger TG-iAUC0–6 h compared to cheese (P = 0.05). No differences in TG-iAUC0–6 h between the other meals were observed. Intake of sour cream induced a larger HDL cholesterol-iAUC0–6 h compared to cheese (P = 0.01). Intake of cheese induced a 124% larger insulin iAUC0–6 h compared to butter (P = 0.006). No other meal effects were observed. Conclusions: High-fat meals containing similar amount of fat from different dairy products induce different postprandial effects on serum TGs, HDL cholesterol, and insulin in healthy adults. The potential mechanisms and clinical impact of our findings remain to be further elucidated. The study was registered at www.clinicaltrials.gov as NCT02836106