Browsing by Subject "health information technology"

Now showing 1 - 10 of 28
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    Advancing Critical Care in the ICU: A Human-Centered Biomedical Data Visualization Systems
    (2011) Faiola, Anthony; Newlon, Chris
    The purpose of this research is to provide medical clinicians with a new technology for interpreting large and diverse datasets to expedite critical care decision-making in the ICU. We refer to this technology as the medical information visualization assistant (MIVA). MIVA delivers multivariate biometric (bedside) data via a visualization display by transforming and organizing it into temporal resolutions that can provide contextual knowledge to clinicians. The result is a spatial organization of multiple datasets that allows rapid analysis and interpretation of trends. Findings from the usability study of the MIVA static prototype and heuristic inspection of the dynamic prototype suggest that using MIVA can yield faster and more accurate results. Furthermore, comments from the majority of the experimental group and the heuristic inspectors indicate that MIVA can facilitate clinical task flow in context-dependent health care settings.
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    Automating Provider Reporting of Communicable Disease Cases using Health Information Technology
    (Office of the Vice Chancellor for Research, 2014-04-11) Dixon, Brian E.; Lai, Patrick T. S.; Kirbiyik, Uzay; Grannis, Shaun J.
    Introduction Disease surveillance is a core public health (PH) function, which enables PH authorities to monitor disease outbreak and develop programs and policies to reduce disease burden. To manage and adjudicate cases of suspected communicable disease, PH workers gather data elements about persons, clinical care, and providers from various clinical sources, including providers, laboratories, among others. Current processes are paper-based and often yield incomplete and untimely reporting across different diseases requiring time-consuming follow-up by PH authorities to get needed information. Health information technology (HIT) refers to a wide range of technologies used in health care settings, including electronic health records and laboratory information systems. Health information exchange (HIE) involves electronic sharing of data and information between HIT systems, including those used in PH. Previous research has shown that using HIE to electronically report laboratory results to PH can improve surveillance practice, yet there has been little utilization of HIE for improving provider-based disease reporting [1]. Methods Our study uses an intervention to electronically pre-populate provider-based communicable disease case reporting forms with existing clinical, laboratory and patient data available through one of the largest and oldest HIE infrastructures in the U.S., the Indiana Network for Patient Care. Evaluation of the intervention will be conducted utilizing mixed methods in a concurrent design framework in which qualitative methods are embedded within the quantitative methods. Quantitative data will include reporting rates, timeliness and burden and report completeness and accuracy, analyzed using interrupted time-series and other pre-post comparisons. Qualitative data regarding pre-post provider perceptions of report completeness, accuracy, and timeliness, reporting burden, data quality, benefits, utility, adoption, utilization and impact on reporting workflow will be collected using semi-structured interviews and open-ended survey items. Data will be triangulated to find convergence or agreement by cross-validating results to produce a contextualized portrayal of the facilitators and barriers to implementation and use of the intervention. Results The intervention has been implemented in seven primary care clinics in the metropolitan Indianapolis area plus one rural clinic in Edinburgh. Analysis of baseline data shows that provider-based reports vary in their completeness, yet they contain critical information not available from laboratory information systems [2]. Furthermore, PH workers access a range of sources to gather the data they need to investigate disease cases [3]. Discussion and Conclusion By applying mixed research methods and measuring context, facilitators and barriers, and individual, organizational and data quality factors that may impact adoption and utilization of the intervention, we will document whether and how the intervention streamlines provider-based manual reporting workflows, lowers barriers to reporting, increases data completeness, improves reporting timeliness and captures a greater portion of communicable disease burden in the community. Early results are promising, and continued evaluation will be completed over the next 24 months.
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    Cognitive requirements for primary care providers during the referral process: Information needed from and interactions with an electronic health record system
    (Elsevier, 2019-09) Savoy, April; Militello, Laura; Diiulio, Julie; Midboe, Amanda M.; Weiner, Michael; Abbaszadegan, Hamed; Herout, Jennifer; Computer and Information Science, School of Science
    Objectives This study sought to identify and describe the cognitive requirements and associated information needs of referring primary care providers (PCPs) during the referral process as well as characterize referring PCPs’ experiences with current health information technology. Materials and methods We interviewed 62 referring PCPs. Our four-member analysis team used hierarchical task analysis to construct a goal-directed hierarchy. We utilized extensions of the task analysis to describe PCPs’ common experiences with health information technologies throughout the referral process. Results The resultant goal hierarchy includes one main goal (Referral for Additional Care), two sub-goals (Assess Patient’s Condition and Manage Referrals), and four major tasks with respective decisions (What consultation is warranted; What information should I provide; What additional action is needed; and How to integrate specialists’ findings). Approximately 22 information needs were commonly identified and PCPs described their use of various sources - other PCPs, electronic health records, chat software, and paper- to satisfy those information needs. Conclusion Cognitive demand for referring PCPs is high throughout the referral process. They have to search, identify, compose, track, and integrate information across multiple screens, systems, and people. Existing interfaces do not adequately support the communication, information exchange, or care coordination related to the referral process. Results from this study provide an important foundation for developing patient-centered displays that support PCPs’ decision-making process and reduce cognitive challenges.
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    Distributed creative activity: expanding Tikhomirov's original notion of creative activity
    (2013) Faiola, Anthony
    Tikhomirov’s primary works are considered groundbreaking in the activity theory community. In particular, his efforts in understanding the positive effects of computers on the development of creative activity provide valuable instruction to activity theorists, especially with respect to their influence on new goal formation. Tikhomirov’s quests to better understand “how computers affect the development of intellectual activity” are explicitly revealed in the clinical environment. As the intensive care unit is a preeminent environment to observe creative activity in real time, the primary problems of clinical team communication and collaboration, both aspects being related to joint activity, are identified. As one way to approach such a problem, Tikhomirov’s theory on creative activity is explained in the context of information technology. Then, distributed cognition theory and creative activity theory are joined together and extended into distributed-creative activity theory, as an augmentation of complex interpersonal cognition through the use of health information technology.
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    Enhancing the Informatics Evaluation Toolkit with Remote Usability Testing
    (2009) Dixon, Brian E.
    Developing functional clinical informatics products that are also usable remains a challenge. Despite evidence that usability testing should be incorporated into the lifecycle of health information technologies, rarely does this occur. Challenges include poor standards, a lack of knowledge around usability practices, and the expense involved in rigorous testing with a large number of users. Remote usability testing may be a solution for many of these challenges. Remotely testing an application can greatly enhance the number of users who can iteratively interact with a product, and it can reduce the costs associated with usability testing. A case study presents the experiences with remote usability testing when evaluating a Web site designed for health informatics knowledge dissemination. The lessons can inform others seeking to enhance their evaluation toolkits for clinical informatics products.
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    Environmental market factors associated with electronic health record adoption among cancer hospitals
    (Wolters Kluwer, 2018-10) Tarver, Will L.; Menachemi, Nir; Health Policy and Management, School of Public Health
    Background: Although recent literature has explored the relationship between various environmental market characteristics and the adoption of electronic health records (EHRs) among general, acute care hospitals, no such research currently exists for specialty hospitals, including those providing cancer care. Purpose: The aim of the study was to examine the relationship between market characteristics and the adoption of EHRs among Commission on Cancer (CoC)-accredited hospitals. Methods/Approach: Secondary data on EHR adoption combined with hospital and environmental market characteristics were analyzed using logistic regression. Using the resource dependence theory, we examined how measures of munificence, complexity, and dynamism are related to the adoption of EHRs among CoC-accredited hospitals and, separately, hospitals not CoC-accredited. Findings: In a sample of 2,670 hospitals, 141 (0.05%) were academic-based CoC-accredited hospitals and 562 (21%) were community-based CoC-accredited hospitals. Measures of munificence such as cancer incidence rates (OR = 0.99, CI [0.99, 1.00], p = .020) and percentage population aged 65+ (OR = 0.99, CI [0.99, 1.00], p = .001) were negatively associated with basic EHR adoption, whereas urban location was positively associated with comprehensive EHR adoption (OR = 3.07, CI [0.89, 10.61], p = .076) for community-based CoC-accredited hospitals. Measures of complexity such as hospitals in areas with less competition were less likely to adopt a basic EHR (OR = 0.33, CI [0.19, 0.96], p = .005), whereas Medicare Managed Care penetration was positively associated with comprehensive EHR adoption (OR = 1.02, CI [1.00, 1.05], p = .070) among community-based CoC-accredited hospitals. Lastly, dynamism, measured as population change, was negatively associated with the adoption of comprehensive EHRs (OR = 0.99, CI [0.99, 1.00], p = .070) among academic-based CoC-accredited hospitals. Practice implications: A greater understanding of the environment’s relationship to health information technology adoption in cancer hospitals will help stakeholders in these institutions make informed strategic decisions about information technology investments guided by their facilities’ respective environmental factors. The results of this study may also be useful to hospital chief information officers and chief executive officers seeking to either improve their quality of care or achieve and maintain accreditation in providing cancer care.
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    Envisioning health equity for American Indian/Alaska Natives: a unique HIT opportunity
    (Oxford, 2019) Cullen, Theresa; Flowers, Jan; Sequist, Thomas D.; Hays, Howard; Biondich, Paul; Laing, Maia Z.; Medicine, School of Medicine
    The Indian Health Service provides care to remote and under-resourced communities in the United States. American Indian/Alaska Native patients have some of the highest morbidity and mortality among any ethnic group in the United States. Starting in the 1980s, the IHS implemented the Resource and Patient Management System health information technology (HIT) platform to improve efficiency and quality to address these disparities. The IHS is currently assessing the Resource and Patient Management System to ensure that changing health information needs are met. HIT assessments have traditionally focused on cost, reimbursement opportunities, infrastructure, required or desired functionality, and the ability to meet provider needs. Little information exists on frameworks that assess HIT legacy systems to determine solutions for an integrated rural healthcare system whose end goal is health equity. This search for a next-generation HIT solution for a historically underserved population presents a unique opportunity to envision and redefine HIT that supports health equity as its core mission.
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    Guidelines to Incorporate a Clinician User Experience (UX) into the Design of Patient-Operated mHealth
    (ACM, 2017-05) Tunnell, Harry; Faiola, Anthony; Bolchini, Davide; Human-Centered Computing, School of Informatics and Computing
    This interactivity demonstration paper highlights how a patient-operated mHealth solution can be designed to improve clinician understanding of a patient's health status during a first face-to-face encounter. Patients can use smartphones to retrieve difficult-to-recall-from memory personal health information. This provides an opportunity to improve patient-clinician collaboration. To explore this idea, a mixed method study with 12 clinicians in a simulated encounter was conducted. A smartphone personal health record was prototyped and used for an experimental study. Communication, efficiency, and effectiveness was improved for clinicians who experienced the prototype. Study outcomes included a validated set of design guidelines for mHealth tools to support better patient-clinician communication.
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    Health Information Exchange Use in Primary Care
    (2020-08) Apathy, Nathan Calvert; Harle, Christopher A.; Vest, Joshua R.; Blackburn, Justin; Adler-Milstein, Julia; Dixon, Brian E.
    The United States has invested over $40 billion in digitizing the health care system, yet the anticipated gains in improved care coordination, quality, and cost savings remain largely unrealized. This is due in part to limited interoperability and low rates of health information exchange (HIE) use, which can support care coordination and improve provider decision-making. Primary care providers are central to the US health care delivery system and frequently function as care coordinators, yet capability and HIE use gaps among these providers limit the potential of these digital systems to achieve their intended goals. I study HIE use in the context of primary care to examine 1) factors associated with provider HIE use, 2) the extent and nature of team-based HIE use, and 3) differences in HIE system use patterns across discrete groups of system users. First, I use a national sample of primary care providers to analyze market and practice factors related to HIE use for patient referrals. Overall, I find that only 43% of primary care provider referrals used HIE. Furthermore, I find substantial variation in HIE use rates across electronic health record (EHR) vendors. Second, I use HIE system log data to understand the breadth and depth of HIE use among teams, a care model underpinning primary care delivery reform efforts. I find that although use of HIE systems remains low, in primary care settings it overwhelmingly takes place in a manner consistent with team-based care workflows. Furthermore, team-based use does not differ in breadth from single provider HIE use, but illustrates less depth before and after visits. Third, I apply cluster analysis to 16 HIE use measures representing 7 use attributes, and identify 5 discrete user groups. I then compare two of these user groups and find user-level variation in volume and efficiency of use, both of which have implications for HIE system design and usability improvements. Ultimately, these findings help to inform how HIE use can be increased and improved in primary care, moving the US health care system closer to realizing the coordination, quality, and cost savings made possible by a digitized delivery system.
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    Health Information Technology and Accountable Care Organizations: A Systematic Review and Future Directions
    (AcademyHealth, 2019-07-08) Balio, Casey P.; Apathy, Nate C.; Danek, Robin L.; Health Policy and Management, School of Public Health
    Background: Since the inception of Accountable Care Organizations (ACOs), many have acknowledged the potential synergy between ACOs and health information technology (IT) in meeting quality and cost goals. Objective: We conducted a systematic review of the literature in order to describe what research has been conducted at the intersection of health IT and ACOs and identify directions for future research. Methods: We identified empirical studies discussing the use of health IT via PubMed search with subsequent snowball reference review. The type of health IT, how health IT was included in the study, use of theory, population, and findings were extracted from each study. Results: Our search resulted in 32 studies describing the intersection of health IT and ACOs, mainly in the form of electronic health records and health information exchange. Studies were divided into three streams by purpose; those that considered health IT as a factor for ACO participation, health IT use by current ACOs, and ACO performance as a function of health IT capabilities. Although most studies found a positive association between health IT and ACO participation, studies that address the performance of ACOs in terms of their health IT capabilities show more mixed results. Conclusions: In order to better understand this emerging relationship between health IT and ACO performance, we propose future research should consider more quasi-experimental studies, the use of theory, and merging health, quality, cost, and health IT use data across ACO member organizations.