scholarly journals The Lumos Pilot Project: Feasibility of Linking General Practice Data to Other Health-Related Data

2020 ◽  
Vol 5 (5) ◽  
Author(s):  
Patricia Correll ◽  
Adrian Power ◽  
Samantha Moubarak ◽  
Katie Irvine ◽  
Anne-Marie Feyer
Keyword(s):  
Health System ◽  
Integrated Care ◽  
Large Scale ◽  
Data Extraction ◽  
Scale Up ◽  
Pilot Project ◽  
Patient Privacy ◽  
Patient Journey ◽  
Related Data ◽  
Health Related

IntroductionDelivering integrated care is an aspiration of health systems around the world. General Practices (GPs) operate between other types of health care and are therefore key to effective integrated care. However, information to understand the patient journey across the health system, such as between primary and acute care, is currently impeded in Australia by lack of interoperable clinical software, privacy concerns, and cross-jurisdictional barriers. This presents a challenge to the formation of an evidence base for the design and implementation of integrated health services. Objectives and ApproachThe Lumos Pilot Project aims to address these challenges. Following ethics approval in February 2016, the pilot was rolled out over five stages to develop a proof of concept for extracting and linking GP data to other health-related data. The objectives were to:I. Build cross-jurisdictional collaborations between primary care and the state health system in New South Wales (NSW), Australia.II. Develop methodologies to address confidentiality requirements.III. Develop technological solutions that will allow for a large scale program. ResultsData were extracted from 102 GPs, covering nearly 1 million patients, and linked to emergency department, hospital and mortality records. GPs were recruited to participate through collaborations with all NSW Primary Health regions. Privacy preserving record linkage was successfully implemented in the fifth stage of the project. This process encoded patient identifiers prior to extraction from the GP and negated the need for identified information during data linkage. Software was developed and tested across all stages of the project so that once enrolled, GP data extraction and transfer were fully automated. Conclusion / ImplicationsThe resultant dataset has provided a new picture of patients’ healthcare journeys while preserving patient privacy. The technological solutions allow for a large scale up of GP recruitment in future.

scholarly journals The unpredictable journeys of spreading, sustaining and scaling healthcare innovations: a scoping review

2019 ◽  
Vol 17 (1) ◽  
Author(s):  
Élizabeth Côté-Boileau ◽  
Jean-Louis Denis ◽  
Bill Callery ◽  
Meghan Sabean
Keyword(s):  
Health System ◽  
Scoping Review ◽  
Large Scale ◽  
Relevant Literature ◽  
Scale Up ◽  
Analysis Data ◽  
Health Service Delivery ◽  
Bibliographic Databases ◽  
System Transformation ◽  
Full Text Review

Abstract Innovation has the potential to improve the quality of care and health service delivery, but maximising the reach and impact of innovation to achieve large-scale health system transformation remains understudied. Interest is growing in three processes of the innovation journey within health systems, namely the spread, sustainability and scale-up (3S) of innovation. Recent reviews examine what we know about these processes. However, there is little research on how to support and operationalise the 3S. This study aims to improve our understanding of the 3S of healthcare innovations. We focus specifically on the definitions of the 3S, the mechanisms that underpin them, and the conditions that either enable or limit their potential. We conducted a scoping review, systematically investigating six bibliographic databases to search, screen and select relevant literature on the 3S of healthcare innovations. We screened 641 papers, then completed a full-text review of 112 identified as relevant based on title and abstract. A total of 24 papers were retained for analysis. Data were extracted and synthesised through descriptive and inductive thematic analysis. From this, we develop a framework of actionable guidance for health system actors aiming to leverage the 3S of innovation across five key areas of focus, as follows: (1) focus on the why, (2) focus on perceived-value and feasibility, (3) focus on what people do, rather than what they should be doing, (4) focus on creating a dialogue between policy and delivery, and (5) focus on inclusivity and capacity building. While there is no standardised approach to foster the 3S of healthcare innovations, a variety of practical frameworks and tools exist to support stakeholders along this journey.

scholarly journals Big Data Analytics & Artificial Intelligence in Healthcare

2021 ◽  
Author(s):  
PRANJAL KUMAR ◽  
Siddhartha Chauhan
Keyword(s):  
Artificial Intelligence ◽  
Big Data ◽  
Large Scale ◽  
Health Sector ◽  
Big Data Analytics ◽  
Personal Data ◽  
Related Data ◽  
Large Scale Data ◽  
Ethical Policy ◽  
Health Related

Abstract Big data analysis and Artificial Intelligence have received significant attention recently in creating more opportunities in the health sector for aggregating or collecting large-scale data. Today, our genomes and microbiomes can be sequenced i.e., all information exchanged between physicians and patients in Electronic Health Records (EHR) can be collected and traced at least theoretically. Social media and mobile devices today obviously provide many health-related data regarding activity, diets, social contacts, and so on. However, it is increasingly difficult to use this information to answer health questions and, in particular, because the data comes from various domains and lives in different infrastructures and of course it also is very variable quality. The massive collection and aggregation of personal data come with a number of ethical policy, methodological, technological challenges. It should be acknowledged that large-scale clinical evidence remains to confirm the promise of Big Data and Artificial Intelligence (AI) in health care. This paper explores the complexities of big data & artificial intelligence in healthcare as well as the benefits and prospects.

scholarly journals A scaling-up strategy supporting the expansion of integrated care: a study protocol

2019 ◽  
Vol 27 (3) ◽  
pp. 215-231 ◽  
Author(s):  
Liset Grooten ◽  
Cristina-Adriana Alexandru ◽  
Tamara Alhambra-Borrás ◽  
Stuart Anderson ◽  
Francesca Avolio ◽  
...  
Keyword(s):  
Integrated Care ◽  
Large Scale ◽  
Scale Up ◽  
Implementation Fidelity ◽  
Scaling Up ◽  
Realist Evaluation ◽  
Content Type ◽  
Project Outcomes ◽  
Care Systems ◽  
Funded Project

Purpose To ensure that more people will benefit from integrated care initiatives, scaling-up of successful initiatives is the way forward. However, new challenges present themselves as knowledge on how to achieve successful large-scale implementation is scarce. The EU-funded project SCIROCCO uses a step-based scaling-up strategy to explore what to scale-up, and how to scale-up integrated care initiatives by matching the complementary strengths and weaknesses of five European regions involved in integrated care. The purpose of this paper is to describe a multi-method evaluation protocol designed to understand what factors influence the implementation of the SCIROCCO strategy to support the scaling-up of integrated care. Design/methodology/approach The first part of the protocol focuses on the assessment of the implementation fidelity of the SCIROCCO step-based strategy. The objective is to gain insight in whether the step-based strategy is implemented as it was designed to explore what works and does not work when implementing the scaling-up strategy. The second part concerns a realist evaluation to examine what it is about the SCIROCCO’s strategy that works for whom, why, how and in which circumstances when scaling-up integrated care. Findings The intended study will provide valuable information on the implementation of the scaling-up strategy which will help to explain for what specific reasons the implementation succeeds and will facilitate further improvement of project outcomes. Originality/value The expected insights could be useful to guide the development, implementation and evaluation of future scaling-up strategies to advance the change towards more sustainable health and care systems.

scholarly journals Scale-up integrated care for diabetes and hypertension in Cambodia, Slovenia and Belgium

2019 ◽  
Vol 29 (Supplement_4) ◽  
Author(s):  
K Klipstein-Grobusch ◽  
T A Poplas Susič ◽  
I Por ◽  
E Wouters ◽  
I Makivič ◽  
...  
Keyword(s):  
Health System ◽  
Integrated Care ◽  
Chronic Care ◽  
Scale Up ◽  
Communicable Diseases ◽  
Income Country ◽  
Policy Makers ◽  
Non Communicable Diseases ◽  
Care Package ◽  
The Impact

Abstract Many countries struggle to find the best way to treat hypertension (HT) and type 2 diabetes (T2D). As a result, many patients receive suboptimal care, especially vulnerable groups in society. The SCale up Integrated Care for diaBetes and hYpertension (SCUBY) project addresses this important societal issue, by examining the scale-up of existing evidence-based interventions for the control of HT and/or T2D. The study undertaken in countries with very different health systems, i.e. a developing health system in a low-middle income country - Cambodia; a former socialist high-income country with a centralised health system - Slovenia; and a Western European federal country with a decentralised system- Belgium, develops, implements and assesses roadmaps for the scale-up of an integrated chronic care package (ICP). The ICP consists of (a) identification of people with HT or T2D, (b) subsequent treatment in primary care services, (c) health education, (d) self-management support to patients and caregivers, and (e) collaboration between caregivers. Analysis of the organisational capacity to scale-up the ICP for T2D and HT and to assess contextual barriers and facilitators to do so, informs the development of the roadmaps. Implementation and evaluation of the 3 roadmaps, one per country, assesses the impact on health outcomes and quality of care through the scale-up of the ICP aimed to contribute to sustainable coverage of T2D and HT interventions for more people in each country. The project is innovative because it compares different scale-up strategies for a contextualised common intervention package. It applies the conceptual insights from scale-up science to the field of non-communicable diseases and involves policy-makers, professionals and patients to ensure local relevance and impact. It will generate new knowledge on how to scale-up the ICP for T2D and HT in diverse contexts. The lessons on scale-up will benefit policy-makers in countries with similar contexts. Key messages Innovative strategies are needed to scale up integrated chronic care for non-communicable diseases. The SCUBY project develops, implements and assesses roadmaps for the scale-up of an integrated chronic care package for hypertension and diabetes.

scholarly journals mHealth in Sub-Saharan Africa

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Thomas J. Betjeman ◽  
Samara E. Soghoian ◽  
Mark P. Foran
Keyword(s):  
Rural Areas ◽  
Disaster Response ◽  
Large Scale ◽  
Scale Up ◽  
Sub Saharan Africa ◽  
Direct Care ◽  
Current Evidence ◽  
Wireless Data Transmission ◽  
Health Related ◽  
Sub Saharan

Mobile phone penetration rates have reached 63% in sub-Saharan Africa (SSA) and are projected to pass 70% by 2013. In SSA, millions of people who never used traditional landlines now use mobile phones on a regular basis. Mobile health, or mHealth, is the utilization of short messaging service (SMS), wireless data transmission, voice calling, and smartphone applications to transmit health-related information or direct care. This systematic review analyzes and summarizes key articles from the current body of peer-reviewed literature on PubMed on the topic of mHealth in SSA. Studies included in the review demonstrate that mHealth can improve and reduce the cost of patient monitoring, medication adherence, and healthcare worker communication, especially in rural areas. mHealth has also shown initial promise in emergency and disaster response, helping standardize, store, analyze, and share patient information. Challenges for mHealth implementation in SSA include operating costs, knowledge, infrastructure, and policy among many others. Further studies of the effectiveness of mHealth interventions are being hindered by similar factors as well as a lack of standardization in study design. Overall, the current evidence is not strong enough to warrant large-scale implementation of existing mHealth interventions in SSA, but rapid progress of both infrastructure and mHealth-related research in the region could justify scale-up of the most promising programs in the near future.

An empirical analysis of the reduction in medical expenditure by e-health users

2009 ◽  
Vol 15 (3) ◽  
pp. 109-111 ◽  
Author(s):  
Yuji Akematsu ◽  
Masatsugu Tsuji
Keyword(s):  
Blood Pressure ◽  
Health System ◽  
Medical Expenditure ◽  
Blood Oxygen ◽  
Related Data ◽  
Telecommunications Network ◽  
Paper Form ◽  
Health Related ◽  
Long Time ◽  
The Town

We examined the medical expenditure of elderly residents who used an e-health system in Nishiaizu town. Since 1994, health-related data, such as blood pressure, ECG and blood oxygen, have been transmitted to a remote medical institution via a telecommunications network. We selected 412 users from the list of registered e-health users in the town. We also selected 450 residents who were not e-health users. We sent them questionnaires and obtained 199 valid responses from e-health users and 209 from non-users. Then we examined the receipts of these 408 people, which were kept in paper form in the town office. Based on a multiple regression analysis, we found that users of the e-health system had lower medical expenditure for lifestyle-related illness than non-users. The medical expenditure of e-health users was lower than that of non-users by 15,302 yen (US$ 133) per year. This amount was approximately 21% of the average annual medical expenditure of the residents. The results also showed that: long-time users of e-health had lower medical expenditure on lifestyle-related illness; long-time users of e-health had lower medical expenditure than those who used it for a shorter time; e-health had more effect on people with diseases than those without.

scholarly journals Health Participatory Sensing Networks

2014 ◽  
Vol 10 (3) ◽  
pp. 229-242 ◽  
Author(s):  
Andrew Clarke ◽  
Robert Steele
Keyword(s):  
Data Collection ◽  
Large Scale ◽  
Scale Up ◽  
Public Health Intervention ◽  
User Interaction ◽  
Participatory Sensing ◽  
Reference Architecture ◽  
New Public Health ◽  
Sensing Platforms ◽  
Health Related

The use of participatory sensing in relation to the capture of health-related data is rapidly becoming a possibility due to the widespread consumer adoption of emerging mobile computing technologies and sensing platforms. This has the potential to revolutionize data collection for population health, aspects of epidemiology, and health-related e-Science applications and as we will describe, provide new public health intervention capabilities, with the classifications and capabilities of such participatory sensing platforms only just beginning to be explored. Such a development will have important benefits for access to near real-time, large-scale, up to population-scale data collection. However, there are also numerous issues to be addressed first: provision of stringent anonymity and privacy within these methodologies, user interface issues, and the related issue of how to incentivize participants and address barriers/concerns over participation. To provide a step towards describing these aspects, in this paper we present a first classification of health participatory sensing models, a novel contribution to the literature, and provide a conceptual reference architecture for health participatory sensing networks (HPSNs) and user interaction example case study.

Quality Control of Data in a Large-Scale Cancer Register Program

1966 ◽  
Vol 05 (02) ◽  
pp. 67-74 ◽  
Author(s):  
W. I. Lourie ◽  
W. Haenszeland
Keyword(s):  
United States ◽  
Quality Control ◽  
Cancer Patients ◽  
Large Scale ◽  
The United States ◽  
Newly Diagnosed ◽  
Related Data ◽  
Cancer Register ◽  
Independent Review ◽  
End Results

Quality control of data collected in the United States by the Cancer End Results Program utilizing punchcards prepared by participating registries in accordance with a Uniform Punchcard Code is discussed. Existing arrangements decentralize responsibility for editing and related data processing to the local registries with centralization of tabulating and statistical services in the End Results Section, National Cancer Institute. The most recent deck of punchcards represented over 600,000 cancer patients; approximately 50,000 newly diagnosed cases are added annually.Mechanical editing and inspection of punchcards and field audits are the principal tools for quality control. Mechanical editing of the punchcards includes testing for blank entries and detection of in-admissable or inconsistent codes. Highly improbable codes are subjected to special scrutiny. Field audits include the drawing of a 1-10 percent random sample of punchcards submitted by a registry; the charts are .then reabstracted and recoded by a NCI staff member and differences between the punchcard and the results of independent review are noted.

Solid Lipid Nanoparticles: A Promising Drug Delivery Technology

2009 ◽  
Vol 2 (2) ◽  
pp. 509-516
Author(s):  
S. Pragati ◽  
S. Kuldeep ◽  
S. Ashok ◽  
M. Satheesh
Keyword(s):  
Drug Delivery ◽  
Solid Lipid Nanoparticles ◽  
Large Scale ◽  
Colloidal Particles ◽  
Scale Up ◽  
Lipid Nanoparticles ◽  
Scale Production ◽  
Research Activity ◽  
New Approach ◽  
Solid Lipid

One of the situations in the treatment of disease is the delivery of efficacious medication of appropriate concentration to the site of action in a controlled and continual manner. Nanoparticle represents an important particulate carrier system, developed accordingly. Nanoparticles are solid colloidal particles ranging in size from 1 to 1000 nm and composed of macromolecular material. Nanoparticles could be polymeric or lipidic (SLNs). Industry estimates suggest that approximately 40% of lipophilic drug candidates fail due to solubility and formulation stability issues, prompting significant research activity in advanced lipophile delivery technologies. Solid lipid nanoparticle technology represents a promising new approach to lipophile drug delivery. Solid lipid nanoparticles (SLNs) are important advancement in this area. The bioacceptable and biodegradable nature of SLNs makes them less toxic as compared to polymeric nanoparticles. Supplemented with small size which prolongs the circulation time in blood, feasible scale up for large scale production and absence of burst effect makes them interesting candidates for study. In this present review this new approach is discussed in terms of their preparation, advantages, characterization and special features.

Novel Visualization of Large Health Related Data Sets

2015 ◽  
Author(s):  
William E. Hammond ◽  
Vivian L. West ◽  
David Borland ◽  
Igor Akushevich ◽  
Eugenia M. Heinz
Keyword(s):  
Data Sets ◽  
Related Data ◽  
Health Related
Sign in / Sign up

Export Citation Format

Share Document