scholarly journals Modelling, Simulation and Social Network Data: What’s New for Public Health and Epidemiology Informatics?

2015 ◽  
Vol 24 (01) ◽  
pp. 216-219
Author(s):  
L. Toubiana ◽  
N Griffon ◽  

Summary Objectives: Summarize excellent current research in the field of Public Health and Epidemiology Informatics. Method: Synopsis of the articles selected for the IMIA Yearbook 2015. Results: Four papers from international peer-reviewed journals have been selected as best papers for the section on Public Health and Epidemiology Informatics. Conclusions: The selected articles illustrate current research regarding the impact and assessment of health IT and the latest developments in health information exchange.

2020 ◽  
Author(s):  
Philip Scott ◽  
Elisavet Andrikopoulou ◽  
Haythem Nakkas ◽  
Paul Roderick

Background: The overall evidence for the impact of electronic information systems on cost, quality and safety of healthcare remains contested. Whilst it seems intuitively obvious that having more data about a patient will improve care, the mechanisms by which information availability is translated into better decision-making are not well understood. Furthermore, there is the risk of data overload creating a negative outcome. There are situations where a key information summary can be more useful than a rich record. The Care and Health Information Exchange (CHIE) is a shared electronic health record for Hampshire and the Isle of Wight that combines key information from hospital, general practice, community care and social services. Its purpose is to provide clinical and care professionals with complete, accurate and up-to-date information when caring for patients. CHIE is used by GP out-of-hours services, acute hospital doctors, ambulance service, GPs and others in caring for patients. Research questions: The fundamental question was How does awareness of CHIE or usage of CHIE affect clinical decision-making? The secondary questions were What are the latent benefits of CHIE in frontline NHS operations? and What is the potential of CHIE to have an impact on major NHS cost pressures? The NHS funders decided to focus on acute medical inpatient admissions as the initial scope, given the high costs associated with hospital stays and the patient complexities (and therefore information requirements) often associated with unscheduled admissions. Methods: Semi-structured interviews with healthcare professionals to explore their experience about the utility of CHIE in their clinical scenario, whether and how it has affected their decision-making practices and the barriers and facilitators for their use of CHIE. The Framework Method was used for qualitative analysis, supported by the software tool Atlas.ti. Results: 21 healthcare professionals were interviewed. Three main functions were identified as useful: extensive medication prescribing history, information sharing between primary, secondary and social care and access to laboratory test results. We inferred two positive cognitive mechanisms: knowledge confidence and collaboration assurance, and three negative ones: consent anxiety, search anxiety and data mistrust. Conclusions: CHIE gives clinicians the bigger picture to understand the patient's health and social care history and circumstances so as to make confident and informed decisions. CHIE is very beneficial for medicines reconciliation on admission, especially for patients that are unable to speak or act for themselves or who cannot remember their precise medication or allergies. We found no clear evidence that CHIE has a significant impact on admission or discharge decisions. We propose the use of recommender systems to help clinicians navigate such large volumes of patient data, which will only grow as additional data is collected.


2012 ◽  
Vol 21 (01) ◽  
pp. 79-82
Author(s):  
C. Bréant ◽  

SummarySummarize excellent current research in the field of Health Information Systems.Synopsis of the articles selected for the IMIA Yearbook 2012.Three papers from international peer reviewed journals have been selected for the section on health information systems.The selected articles illustrate current research regarding health IT impacts and evaluation and the latest developments in health information exchange.


JAMIA Open ◽  
2018 ◽  
Vol 2 (1) ◽  
pp. 99-106 ◽  
Author(s):  
Sue S Feldman ◽  
Grishma P Bhavsar ◽  
Benjamin L Schooley

AbstractObjectivesThe objective of this article is to examine consumer perceptions of health information technology (health IT) utilization and benefits through an integrated conceptual framework.Materials and MethodsThis article employs an integrated conceptual framework to examine consumer perceptions of health IT. A consumer survey yielded 1125 completed responses. A factor-based scale was developed for each sub-construct. Bivariate analysis using χ2 tests was performed to determine differences in the percentage of respondents who agreed with each sub-construct based on whether their physician used an electronic health record (EHR) system. Multivariable logistic regression that controlled for demographic characteristics of respondents was performed to determine adjusted odds of agreeing with selected opinions of health information exchange (HIE).ResultsResults indicate that respondents whose physicians used an EHR system were significantly more likely to agree that there was a perceived benefit with HIE and to care provided; that the patient should have control over the record; that they trust the physician and security of the medical information; that they understand the need for HIE, and that HIE must be easy to use.DiscussionThe results suggest that consumers who have experienced the use of one technology in the healthcare setting can recognize the potential benefit of another technology. Race/ethnicity, gender, and education played some role in respondents’ views of EHRs and HIE, more specifically, non-Hispanic African American participants indicated lower levels of trust in HIE when compared with non-Hispanic Whites.ConclusionThis cross-sectional survey indicated that physician use of EHRs significantly increases the odds of consumers’ seeing perceived benefits of HIE and understanding the need for HIE.


2015 ◽  
Vol 22 (6) ◽  
pp. 1169-1172 ◽  
Author(s):  
Niam Yaraghi

Abstract Objective To examine the impact of health information exchange (HIE) on reducing laboratory tests and radiology examinations performed in an emergency department (ED). Materials and Methods The study was conducted in an ED setting in Western New York over a period of 2 months. The care of the patients in the treatment group included an HIE query for every encounter, while the care of other patients in the control group did not include such queries. A group of medical liaisons were hired to query the medical history of patients from an HIE and provide it to the ED clinicians. Negative binomial regression was used to analyze the effects of HIE queries on the number of performed laboratory tests and radiology examinations. The log files of the HIE system since 1 year before the ED admission were used to analyze the differences in outcome measures between the 2 groups of patients. Results Ceteris paribus, HIE usage is associated with, respectively, 52% and 36% reduction in the expected total number of laboratory tests and radiology examinations ordered per patient at the ED. Conclusions The results indicate that access to additional clinical data through the HIE will significantly reduce the number of laboratory tests and radiology examinations performed in the ED settings and thus support the ongoing HIE efforts.


2019 ◽  
Vol 6 (10) ◽  
Author(s):  
Joseph Sharp ◽  
Christine D Angert ◽  
Tyania Mcconnell ◽  
Pascale Wortley ◽  
Eugene Pennisi ◽  
...  

Abstract Background Public health information exchanges (HIEs) link real-time surveillance and clinical data and can help to re-engage out-of-care people with HIV (PWH). Methods We conducted a retrospective cohort study of out-of-care PWH who generated an HIE alert in the Grady Health System (GHS) Emergency Department (ED) between January 2017 and February 2018. Alerts were generated for PWH who registered in the GHS ED without Georgia Department of Public Health (GDPH) CD4 or HIV-1 RNA in the prior 14 months. The alert triggered a social work (SW)–led re-linkage effort. Multivariate logistic regression analyses used HIE-informed SW re-linkage efforts as the independent variable, and linkage to care and 3- and 6-month viral suppression (HIV-1 RNA < 200 c/mL) as primary outcomes. Patients admitted to the hospital were excluded from primary analysis. Results One hundred forty-seven out-of-care patients generated an alert. Ninety-eight were included in the primary analysis (mean age [SD], 41 ± 12 years; 70% male; 93% African American), and 20 received the HIE-informed SW intervention. Sixty percent of patients receiving the intervention linked to care in 6 months, compared with 35% who did not. Patients receiving the intervention were more likely to link to care (adjusted risk ratio [aRR], 1.63; 95% confidence interval [CI], 0.99–2.68) and no more likely to achieve viral suppression (aRR, 1.49; 95% CI, 0.50–4.46) than those who did not receive the intervention. Conclusions An HIE-informed, SW-led intervention systematically identified out-of-care PWH and may increase linkage to care for this important population. HIEs create an opportunity to intervene with linkage and retention strategies.


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