Browsing by Subject "public health informatics"

Now showing 1 - 10 of 14
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    Applied Public Health Informatics: An eHealth Discipline Focused on Populations
    (2020-12) Dixon, Brian E.; Epidemiology, School of Public Health
    The discipline of public health informatics, part of the broader eHealth field, brings methods, knowledge, and theories from computer science and information science to support population health and well-being. This branch of informatics is most often found in governmental public health agencies that focus on population-level activities, including surveillance of disease as well as disease prevention. There are several specialised public health information systems used to prevent or mitigate disease, including syndromic surveillance, electronic laboratory reporting, and population health dashboards. This article defines and describes public health informatics and its role in eHealth. The article further discusses the role of public health information systems and challenges they face for the future. Strengthening public health will require greater investment in interoperability as well as analytics and the workforce. Disease outbreaks like COVID-19, Ebola, and H1N1 demonstrate the need for robust public health informatics applications and methods. Yet there is much work to be done to evolve existing tools and methods to strengthen the public health infrastructure for the next pandemic.
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    Characterizing Informatics Roles and Needs of Public Health Workers: Results from the Public Health Workforce Interests and Needs Survey
    (Lippincott Williams & Wilkins, 2015-11) Dixon, Brian E.; McFarlane, Timothy D.; Dearth, Shandy; Grannis, Shaun J.; Gibson, P. Joseph; Department of Epidemiology, Richard M. Fairbanks School of Public Health
    Objective: To characterize public health workers who specialize in informatics and to assess informatics-related aspects of the work performed by the public health workforce. Methods (Design, Setting, Participants): Using the nationally representative Public Health Workforce Interests and Needs Survey (PH WINS), we characterized and compared responses from informatics, information technology (IT), clinical and laboratory, and other public health science specialists working in state health agencies. Main Outcome Measures: Demographics, income, education, and agency size were analyzed using descriptive statistics. Weighted medians and interquartile ranges were calculated for responses pertaining to job satisfaction, workplace environment, training needs, and informatics-related competencies. Results: Of 10 246 state health workers, we identified 137 (1.3%) informatics specialists and 419 (4.1%) IT specialists. Overall, informatics specialists are younger, but share many common traits with other public health science roles, including positive attitudes toward their contributions to the mission of public health as well as job satisfaction. Informatics specialists differ demographically from IT specialists, and the 2 groups also differ with respect to salary as well as their distribution across agencies of varying size. All groups identified unmet public health and informatics competency needs, particularly limited training necessary to fully utilize technology for their work. Moreover, all groups indicated a need for greater future emphasis on leveraging electronic health information for public health functions. Conclusions: Findings from the PH WINS establish a framework and baseline measurements that can be leveraged to routinely monitor and evaluate the ineludible expansion and maturation of the public health informatics workforce and can also support assessment of the growth and evolution of informatics training needs for the broader field. Ultimately, such routine evaluations have the potential to guide local and national informatics workforce development policy.
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    Clinical Versus Public Health Perceptions of Notifiable Disease Reporting Burden
    (2014) Revere, Debra; Hills, Rebecca; Grannis, Shaun J; Dixon, Brian E.
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    Estimating Increased Electronic Laboratory Reporting Volumes for Meaningful Use: Implications for the Public Health Workforce
    (2014-02) Dixon, Brian E.; Gibson, P Joseph; Grannis, Shaun J
    Objective: To provide formulas for estimating notifiable disease reporting volume from ‘meaningful use’ electronic laboratory reporting (ELR). Methods: We analyzed two years of comprehensive ELR reporting data from 15 metropolitan hospitals and laboratories. Report volumes were divided by population counts to derive generalizable estimators. Results: Observed volume of notifiable disease reports in a metropolitan area were more than twice national averages. ELR volumes varied by institution type, bed count, and by the level of effort required of health department staff. Conclusions: Health departments may experience a significant increase in notifiable disease reporting following efforts to fulfill meaningful use requirements, resulting in increases in workload that may further strain public health resources. Volume estimators provide a method for predicting ELR transaction volumes, which may support administrative planning in health departments.
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    Improving Access to HIV and AIDS Information Resources for Patients, Caregivers, and Clinicians: Results from the SHINE Project
    (2012-05) Dixon, Brian E.; Kaneshiro, Kellie N.
    Background Human immunodeficiency virus and acquired immunodeficiency syndrome (HIV/AIDS) remains a significant international public health challenge. The Statewide HIV/AIDS Information Network (SHINE) Project was created to improve HIV/AIDS health information use and access for health care professionals, patients, and affected communities in Indiana. Objective: Our objective was to assess the information-seeking behaviors of health care professionals and consumers who seek information on the testing, treatment, and management of HIV/AIDS and the usability of the SHINE Project’s resources in meeting end user needs. The feedback was designed to help SHINE Project members improve and expand the SHINE Project’s online resources. Methods: A convenience sample of health care professionals and consumers participated in a usability study. Participants were asked to complete typical HIV/AIDS information-seeking tasks using the SHINE Project website. Feedback was provided in the form of standardized questionnaire and usability “think-aloud” responses. Results: Thirteen participants took part in the usability study. Clinicians generally reported the site to be “very good,” while consumers generally found it to be “good.” Health care professionals commented that they lack access to comprehensive resources for treating patients with HIV/AIDS. They requested new electronic resources that could be integrated in clinical practice and existing information technology infrastructures. Consumers found the SHINE website and its collected information resources overwhelming and difficult to navigate. They requested simpler, multimedia-content rich resources to deliver information on HIV/AIDS testing, treatment, and disease management.
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    An Integrated Surveillance System to Examine Testing, Services, and Outcomes for Sexually Transmitted Diseases
    (IOS, 2017) Dixon, Brian E.; Tao, Guoyu; Wang, Jane; Tu, Wanzhu; Hoover, Sarah; Zhang, Zuoyi; Batteiger, Teresa A.; Arno, Janet N.; Epidemiology, School of Public Health
    Despite laws that require reporting of sexually transmitted diseases (STDs) to governmental health agencies, integrated surveillance of STDs remains challenging. Data and information about testing are fragmented from information on treatment and outcomes. To overcome this fragmentation, data from multiple electronic systems spanning clinical and public health environments were integrated to create an STD surveillance registry. Electronic health records, disease case records, and birth registry records were linked and then stored in a de-identified, secure server for use by health officials and researchers. The registry contains nearly 6 million tests for 628,138 individuals over a 12-year period. The registry supports efforts to understand the epidemiology of STDs as well as health services and outcomes for those diagnosed with STDs. Specialized disease registries hold promise for collaboration across clinical and public health domains to improve surveillance efforts, reduce health disparities, and increase prevention efforts at the local level.
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    Leveraging Data Visualization and a Statewide Health Information Exchange to Support COVID-19 Surveillance and Response: Application of Public Health Informatics
    (Oxford, 2021) Dixon, Brian E.; Grannis, Shaun J.; McAndrews, Connor; Broyles, Andrea A.; Mikels-Carrasco, Waldo; Wiensch, Ashley; Williams, Jennifer L.; Tachinardi, Umberto; Embi, Peter J.; Epidemiology, School of Public Health
    Objective We sought to support public health surveillance and response to coronavirus disease 2019 (COVID-19) through rapid development and implementation of novel visualization applications for data amalgamated across sectors. Materials and Methods We developed and implemented population-level dashboards that collate information on individuals tested for and infected with COVID-19, in partnership with state and local public health agencies as well as health systems. The dashboards are deployed on top of a statewide health information exchange. One dashboard enables authorized users working in public health agencies to surveil populations in detail, and a public version provides higher-level situational awareness to inform ongoing pandemic response efforts in communities. Results Both dashboards have proved useful informatics resources. For example, the private dashboard enabled detection of a local community outbreak associated with a meat packing plant. The public dashboard provides recent trend analysis to track disease spread and community-level hospitalizations. Combined, the tools were utilized 133 637 times by 74 317 distinct users between June 21 and August 22, 2020. The tools are frequently cited by journalists and featured on social media. Discussion Capitalizing on a statewide health information exchange, in partnership with health system and public health leaders, Regenstrief biomedical informatics experts rapidly developed and deployed informatics tools to support surveillance and response to COVID-19. Conclusions The application of public health informatics methods and tools in Indiana holds promise for other states and nations. Yet, development of infrastructure and partnerships will require effort and investment after the current pandemic in preparation for the next public health emergency.
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    Leveraging Informatics and Technology to Support Public Health Response: Framework and Illustrations using COVID-19
    (2021) Snowdon, Jane L.; Kassler, William; Karunakaram, Hema; Dixon, Brian E.; Rhee, Kyu; Epidemiology, School of Public Health
    Objective: To develop a conceptual model and novel, comprehensive framework that encompass the myriad ways informatics and technology can support public health response to a pandemic. Method: The conceptual model and framework categorize informatics solutions that could be used by stakeholders (e.g., government, academic institutions, healthcare providers and payers, life science companies, employers, citizens) to address public health challenges across the prepare, respond, and recover phases of a pandemic, building on existing models for public health operations and response. Results: Mapping existing solutions, technology assets, and ideas to the framework helped identify public health informatics solution requirements and gaps in responding to COVID-19 in areas such as applied science, epidemiology, communications, and business continuity. Two examples of technologies used in COVID-19 illustrate novel applications of informatics encompassed by the framework. First, we examine a hub from The Weather Channel, which provides COVID-19 data via interactive maps, trend graphs, and details on case data to individuals and businesses. Second, we examine IBM Watson Assistant for Citizens, an AI-powered virtual agent implemented by healthcare providers and payers, government agencies, and employers to provide information about COVID-19 via digital and telephone-based interaction. Discussion: Early results from these novel informatics solutions have been positive, showing high levels of engagement and added value across stakeholders. Conclusion: The framework supports development, application, and evaluation of informatics approaches and technologies in support of public health preparedness, response, and recovery during a pandemic. Effective solutions are critical to success in recovery from COVID-19 and future pandemics.
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    Reliability of administrative data to identify sexually transmitted infections for population health: a systematic review.
    (BMJ, 2019-08) Dixon, Brian E.; Rahurkar, Saurabh; Ho, Yenling; Arno, Janet N.; Epidemiology, School of Public Health
    INTRODUCTION: International Classification of Diseases (ICD) codes in administrative health data are used to identify cases of disease, including sexually transmitted infections (STIs), for population health research. The purpose of this review is to examine the extant literature on the reliability of ICD codes to correctly identify STIs. METHODS: We conducted a systematic review of empirical articles in which ICD codes were validated with respect to their ability to identify cases of chlamydia, gonorrhoea, syphilis or pelvic inflammatory disease (PID). Articles that included sensitivity, specificity and positive predictive value of ICD codes were the target. In addition to keyword searches in PubMed and Scopus databases, we further examined bibliographies of articles selected for full review to maximise yield. RESULTS: From a total of 1779 articles identified, only two studies measured the reliability of ICD codes to identify cases of STIs. Both articles targeted PID, a serious complication of chlamydia and gonorrhoea. Neither article directly assessed the validity of ICD codes to identify cases of chlamydia, gonorrhoea or syphilis independent of PID. Using ICD codes alone, the positive predictive value for PID was mixed (range: 18%-79%). DISCUSSION AND CONCLUSION: While existing studies have used ICD codes to identify STI cases, their reliability is unclear. Further, available evidence from studies of PID suggests potentially large variation in the accuracy of ICD codes indicating the need for primary studies to evaluate ICD codes for use in STI-related public health research.
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    Special Section on Inclusive Digital Health: Notable Papers on Addressing Bias, Equity, and Literacy to Strengthen Health Systems
    (Thieme, 2022-12-04) Dixon, Brian E.; Holmes, John H.; Epidemiology, Richard M. Fairbanks School of Public Health
    Objective: To summarize significant research contributions on addressing bias, equity, and literacy in health delivery systems published in 2021. Methods: An extensive search using PubMed and Scopus was conducted to identify peer-reviewed articles published in 2021 that examined ways that informatics methods, approaches, and tools could address bias, equity, and literacy in health systems and care delivery processes. The selection process comprised three steps: (1) 15 candidate best papers were first selected by the two section editors; (2) external reviewers from internationally renowned research teams reviewed each candidate best paper; and (3) the final selection of three best papers was conducted by the editorial committee of the Yearbook. Results: Selected best papers represent studies that characterized significant challenges facing biomedical informatics with respect to equity and practices that support equity and literacy in the design of health information systems. Selected papers represent the full spectrum of this year’s yearbook theme. In general, papers identified in the search fell into one of the following categories: (1) descriptive accounts of algorithmic bias in medical software or machine learning approaches; (2) enabling health information systems to appropriately encode for gender identity and sex; (3) approaches to support health literacy among individuals who interact with information systems and mobile applications; and (4) approaches to engage diverse populations in the use of health information systems and the biomedical informatics workforce Conclusions: Although the selected papers are notable, our collective efforts as a biomedical informatics community to address equity, literacy, and bias remain nascent. More work is needed to ensure health information systems are just in their use of advanced computing approaches and all persons have equal access to health care and informatics tools.