Electronic prescribing

In this work we propose a method for single image dehazing that exploits a physical model to recover the haze-free image by estimating the atmospheric scattering parameters. Cycle consistency is used to further improve the reconstruction quality of local structures and objects in the scene as well. Experimental results on four real and synthetic hazy image datasets show the effectiveness of the proposed method in terms of two commonly used full-reference image quality metrics.

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Faculty Opinions recommendation of Decision support for sensible dosing in electronic prescribing systems.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.13357322.14726713 ◽

2011 ◽

Author(s):

Craig Webster

Keyword(s):

Decision Support ◽

Electronic Prescribing

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P044 Can an electronic prescribing system ensure clear anticoagulation discharge communication?

Archives of Disease in Childhood ◽

10.1136/archdischild-2019-nppc.53 ◽

2019 ◽

Vol 104 (7) ◽

pp. e2.49-e2

Author(s):

Susie Gage

Keyword(s):

Patient Safety ◽

Discharge Summary ◽

Electronic Prescribing ◽

List Type ◽

Heparin Infusion ◽

National Patient Safety Agency ◽

High Dependency ◽

National Patient ◽

Discharge Summaries

AimThe National Patient Safety Agency (NPSA)1 identified heparin as a major cause of adverse events associated with adverse incidents, including some fatalities. By ensuring good communication, this should be associated with risk reduction.1 The aim of this study was to ensure there is clear anticoagulation communication on discharge, from the paediatric intensive care unit (PICU) electronic prescribing system (Philips), to the paediatric cardiac high dependency unit and paediatric cardiac ward. To investigate whether the heparin regimen complies with the hospital’s anticoagulant guidelines and if there is any deviation; that this is clearly documented. To find out if there is an indication documented for the heparin regimen chosen and if there is a clear long term plan documented for the patient, after heparin cessation.MethodsA report was generated for all patients who were prescribed a heparin infusion on PICU, between 1st January 2018 and 30th June 2018, from the Philips system. All discharge summaries from the PICU Philips system were reviewed. Only paediatric cardiac patients were included that had a heparin infusion prescribed on discharge, all other discharge summaries were excluded from the study. Each discharge summary was reviewed in the anticoagulant section; for the heparin regimen chosen, whether it complies with the hospital’s anticoagulant guidelines and if there was any deviation whether this was documented. The indication documented of which heparin regimen was chosen and whether a clear long term plan was documented after heparin cessation; for example if the patient is to be transferred onto aspirin, clopidogrel, warfarin or enoxaparin.Results82 discharge summaries were reviewed over the 6 month period between 1st January 2018 and 30th June 2018; 16 were excluded as were not paediatric cardiac, leaving 66 paediatric cardiac discharge summaries that were reviewed. 45 out of 66 (68%) complied with the hospital’s heparin anticoagulation guidelines. Of the 32% that deviated from the protocol; only 33% (7 out of 21) had a reason documented. Only 50% (33) of the summaries reviewed had an indication for anticoagulation noted on the discharge summary and 91% of discharge summaries had a long term anticoagulant plan documented.ConclusionThe electronic prescribing system can help to ensure a clear anticoagulation communication as shown by 91% of the anticoagulation long term plan being clearly documented; making it a more seamless patient transfer. On the Philips PICU electronic prescribing system there is an anticoagulant section on the discharge summary that has 3 boxes that need to be completed; heparin regimen, indication and anticoagulation long term plan. However, despite these boxes; deviations from the anticoagulant protocol were poorly documented as highlighted by only 33% having the reason highlighted in the discharge summary, only 50% of the indications were documented. Despite having prompts for this information on the discharge summary, the medical staffs needs to be aware to complete this information, in order to reduce potential medication errors and risk.ReferenceThe National Patient Safety Agency (NPSA). Actions that make anticoagulant therapy safer. NPSA; March 2007.

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Research Roundup

Practice Nursing ◽

10.12968/pnur.2020.31.7.310 ◽

2020 ◽

Vol 31 (7) ◽

pp. 310-311

Author(s):

George Winter

Keyword(s):

Practice Nurses ◽

Full Reference

George Winter provides an overview of recently published articles that may be of interest to practice nurses. Should you wish to look at any of the papers in more detail, a full reference is provided.

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A New Application-Aware No-Reference Quality Assessment Method for IP Voice Services

Journal of Network and Systems Management ◽

10.1007/s10922-021-09595-8 ◽

2021 ◽

Vol 29 (3) ◽

Author(s):

Péter Orosz ◽

Tamás Tóthfalusi

Keyword(s):

Service Quality ◽

Performance Metrics ◽

Assessment Method ◽

Reference Source ◽

User Privacy ◽

Quality Model ◽

Estimation Model ◽

Full Reference ◽

Reference Quality ◽

The Voice

AbstractThe increasing number of Voice over LTE deployments and IP-based voice services raise the demand for their user-centric service quality monitoring. This domain’s leading challenge is measuring user experience quality reliably without performing subjective assessments or applying the standard full-reference objective models. While the former is time- and resource-consuming and primarily executed ad-hoc, the latter depends upon a reference source and processes the voice payload that may offend user privacy. This paper presents a packet-level measurement method (introducing a novel metric set) to objectively assess network and service quality online. It is accomplished without inspecting the voice payload and needing the reference voice sample. The proposal has three contributions: (i) our method focuses on the timeliness of the media traffic. It introduces new performance metrics that describe and measure the service’s time-domain behavior from the voice application viewpoint. (ii) Based on the proposed metrics, we also present a no-reference Quality of Experience (QoE) estimation model. (iii) Additionally, we propose a new method to identify the pace of the speech (slow or dynamic) as long as voice activity detection (VAD) is present between the endpoints. This identification supports the introduced quality model to estimate the perceived quality with higher accuracy. The performance of the proposed model is validated against a full-reference voice quality estimation model called AQuA, using real VoIP traffic (originated in assorted voice samples) in controlled transmission scenarios.

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Protocol for a qualitative study to identify strategies to optimise hospital ePrescribing systems

BMJ Open ◽

10.1136/bmjopen-2020-044622 ◽

2021 ◽

Vol 11 (1) ◽

pp. e044622

Author(s):

Catherine Heeney ◽

Stephen Malden ◽

Aziz Sheikh

Keyword(s):

Qualitative Interviews ◽

Geographical Area ◽

Health Resources ◽

Round Table ◽

Developed Countries ◽

Care Quality ◽

Electronic Prescribing ◽

Study Results ◽

Electronic Health ◽

The Uk

IntroductionElectronic prescribing (ePrescribing) is a key area of development and investment in the UK and across the developed world. ePrescribing is widely understood as a vehicle for tackling medication-related safety concerns, improving care quality and making more efficient use of health resources. Nevertheless, implementation of an electronic health record does not itself ensure benefits for prescribing are maximised. We examine the process of optimisation of ePrescribing systems using case studies to provide policy recommendations based on the experiences of digitally mature hospital sites.Methods and analysisQualitative interviews within six digitally mature sites will be carried out. The aim is to capture successful optimisation of electronic prescribing (ePrescribing) in particular health systems and hospitals. We have identified hospital sites in the UK and in three other developed countries. We used a combination of literature reviews and advice from experts at Optimising ePrescribing in Hospitals (eP Opt) Project round-table events. Sites were purposively selected based on geographical area, innovative work in ePrescribing/electronic health (eHealth) and potential transferability of practices to the UK setting. Interviews will be recorded and transcribed and transcripts coded thematically using NVivo software. Relevant policy and governance documents will be analysed, where available. Planned site visits were suspended due to the COVID-19 pandemic.Ethics and disseminationThe Usher Research Ethics Group granted approval for this study. Results will be disseminated via peer-reviewed journals in medical informatics and expert round-table events, lay member meetings and the ePrescribing Toolkit (http://www.eprescribingtoolkit.com/)—an online resource supporting National Health Service (NHS) hospitals through the ePrescribing process.

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