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Showing 1 to 20 of 189 for “"Electronic Health Records"”.

  1. A medication extraction framework for electronic health records

    This thesis addresses the problem of concept and relation extraction in medical documents. We present a medical concept and relation extraction system (medNERR) that incorporates hand-built rules and constrained conditional models. We focus on two concept types (i.e., medications and medical …

    mit Repository record for A medication extraction framework for electronic health records (opens in a new tab)

  2. A Study of Access Control for Electronic Health Records

    … expansion between Information Technology and Healthcare has created many new options for both disciplines, as well as challenges. One of these topics is the Electronic Health Record (EHR) and the push for a universal record. A challenge for this topic is access control: how to keep patient’s …

    govst Repository record for A Study of Access Control for Electronic Health Records (opens in a new tab)

  3. Addressing Deficiencies from Missing Data in Electronic Health Records

    Electronic health records (EHRs) contain a wealth of data that can be used to improve patient-centered outcomes. In particular, EHRs have been used for disease prediction, data-driven clinical decision support, patient trajectory modeling, etc. However, it is common that EHRs data contain …

    mit Repository record for Addressing Deficiencies from Missing Data in Electronic Health Records (opens in a new tab)

  4. Unified Documentation and Information Retrieval for Electronic Health Records

    … cannot, mainly due to challenges exacerbated by Electronic Health Records. For each patient, clinicians have to review the patient history, perform a physical exam, synthesize findings into a differential diagnosis and care plan; coordinate care with other specialists; order and document tests, …

    mit Repository record for Unified Documentation and Information Retrieval for Electronic Health Records (opens in a new tab)

  5. NOVEL DATA MINING ALGORITHMS FOR ANALYSIS OF ELECTRONIC HEALTH RECORDS

    Medical health providers use electronic health records (EHRs) to store information about patient treatment to support patient care management and securely share health information among healthcare organizations. EHRs have also been used in healthcare research in problems such as patient …

    temple Repository record for NOVEL DATA MINING ALGORITHMS FOR ANALYSIS OF ELECTRONIC HEALTH RECORDS (opens in a new tab)

  6. Learning risk models for pancreatic cancer from electronic health records

    … apply standard machine learning techniques to Electronic Health Records (EHRs) to predict risk of pancreatic cancer in advance of cancer diagnosis. On the test dataset, two of our models achieved AUROCs of 0.85 (CI 0.81 - 0.90) and 0.79 (CI 0.77 - 0.82) with a 365-day lead time.

    mit Repository record for Learning risk models for pancreatic cancer from electronic health records (opens in a new tab)

  7. Building and Evaluating Cancer Prescreening Models with Electronic Health Records

    … culprit. Building on a recent framework, we used electronic health records from TriNetX to develop prescreening models for ten different cancer types: biliary tract, brain, breast (female), colon, esophageal, gastric, kidney, liver, lung, and ovarian. The models showed great performance, with …

    mit Repository record for Building and Evaluating Cancer Prescreening Models with Electronic Health Records (opens in a new tab)

  8. Automatic Question Answering and Knowledge Discovery from Electronic Health Records

    Electronic Health Records (EHR) data contain comprehensive longitudinal patient information, which is usually stored in databases in the form of either multi-relational structured tables or unstructured texts, e.g., clinical notes. EHR provides a useful resource to assist doctors' decision making, …

    vt Repository record for Automatic Question Answering and Knowledge Discovery from Electronic Health Records (opens in a new tab)

  9. Adoption of Electronic Health Records by Admitting Physicians: A Heuristic Model

    <p><em>Background:</em> Although hospital electronic health records (EHRs) are generally perceived to improve care, physician resistance may hinder EHR adoption.</p> <p><em>Purpose:</em> This study uses constructs from diffusion of innovations and resource dependence theories to predict adoption …

    odu Repository record for Adoption of Electronic Health Records by Admitting Physicians: A Heuristic Model (opens in a new tab)

  10. Improving clinical decisions using correspondences within and across electronic health records

    Electronic Health Record (EHR) adoption and retrospective analyses of health care data are part of a broader conversation about health care quality and cost in the United States. Machine learning in health care can be used to develop clinical decision-making aids and assess quality of care. This …

    mit Repository record for Improving clinical decisions using correspondences within and across electronic health records (opens in a new tab)

  11. Essays on Human Error in Electronic Health Records (EHR) Information Security

    … Human error has increased the vulnerability of healthcare information, exposing it to persistent and increasingly sophisticated malicious cyberattacks that threaten the security and privacy of the American people. People continue to make mistakes and there is no single solution in cybersecurity …

    vt Repository record for Essays on Human Error in Electronic Health Records (EHR) Information Security (opens in a new tab)

  12. Personalising Predictive Prevention of Cardiovascular Disease using Electronic Health Records and Genomics

    … individuals between 40 and 75 years. To manage health resources, the guidelines also recommend systematically prioritising individuals for risk assessments using historical information already recorded in primary care records. However, there are limitations of existing guidelines. First, a …

    cambridge Repository record for Personalising Predictive Prevention of Cardiovascular Disease using Electronic Health Records and Genomics (opens in a new tab)

  13. Machine Learning for Sepsis Prognosis: Prediction Models and Dissecting Electronic Health Records

    … Given the heavy burden sepsis has posed on the health care system, extensive research in the area has been performed to facilitate sepsis diagnosis. Sepsis prognosis can support the assessment of the likely progression of the disease and thus inform treatment decisions, but it is much less …

    mit Repository record for Machine Learning for Sepsis Prognosis: Prediction Models and Dissecting Electronic Health Records (opens in a new tab)

  14. Enhancing Secondary-use of Electronic Health Records for Geospatial-temporal Population Health Research

    … the United States Department of Human and Health Services, Center for Disease Control, and the World Health Organization have recognized the role of social and environmental determinants of health in understanding the health of populations. Community and population health is a function of …

    washington Repository record for Enhancing Secondary-use of Electronic Health Records for Geospatial-temporal Population Health Research (opens in a new tab)

  15. Descriptions of nurses' experiences with electronic health records (EHR): A phenomenological study

    … the lived experiences of nurses working with Electronic Health Records (EHR). Since U.S. President Bush’s 2004 mandate to put EHRs in place by 2014, EHR design and implementation have become priorities for all health care organizations. Research studies of EHR implementation and utilization …

    utmb Repository record for Descriptions of nurses' experiences with electronic health records (EHR): A phenomenological study (opens in a new tab)

  16. Public Health Professionals’ Prepardness and Challenges In Implementing Certified Electronic Health Records Technology

    … to assess the readiness and challenges of public health professionals in implementing the Certified Electronic Health Records (EHR) Technology for the Meaningful Use (MU) in eighteen Health Districts of Georgia. The aims were to observe the status of the public health information systems’ …

    gsu Repository record for Public Health Professionals’ Prepardness and Challenges In Implementing Certified Electronic Health Records Technology (opens in a new tab)

  17. Business model and strategy analysis for radiologists to use electronic health records (EHR)

    … to capture, store, share, and use images electronically. In 2009, President Obama signed into law a measure, the HITECH Act (part of the stimulus package), that incentivizes healthcare providers to use electronic health records (EHR) in care delivery to improve quality, efficiency, safety, …

    mit Repository record for Business model and strategy analysis for radiologists to use electronic health records (EHR) (opens in a new tab)

  18. Understanding Clinical Pain Management and Patient Experiences of Pain from Electronic Health Records

    … prescription opioids is in turn a massive public health issue in the United States. However, lack of pain medication can also lead to patients being unable to perform daily activities due to unmitigated pain. In this thesis, we find that data on opioid prescriptions and self-reported pain reveal …

    mit Repository record for Understanding Clinical Pain Management and Patient Experiences of Pain from Electronic Health Records (opens in a new tab)

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