253 research outputs found

    Automatic coding of medical problem lists

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    Regulation Through the Looking Glass: Hospitals, Blue Cross, and Certificate-of-Need

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    A clear focus on the commitment of the public health and hospital establishments to the large teaching hospital and their belief in rationalizing the health care system through community-based planning allows us to understand the ideas and institutions that have produced our present system of hospital regulation. It can also help us to understand the structure and behavior of the hospital industry and can illuminate current controversies over health care policy. What follows is a narrative account of the development of regional planning and certificate-of-need legislation. As part of that story, we trace the evolution of the Blue Cross, explain its central role in the voluntary hospital and health insurance industries, and show how the voluntary hospital and public health establishments came to its rescue in the controversy over rising Blue Cross rates in the late 1950s. We offer a brief summary of our findings at the outset to make the Article more accessible to the general reader; at the close of the text we discuss Roemer\u27s Law, the economic theory used to justify CON legislation, and the system of voluntary sector self regulation that CON complements

    Presenting patient data in the electronic care record: the role of timelines

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    OBJECTIVE: To establish the current level of awareness and investigate the use of timelines within clinical computing systems as an organized display of the electronic patient record (EPR). DESIGN: Multicentre survey conducted using questionnaires and interview. SETTING: Seven UK hospitals and several general practice surgeries. PARTICIPANTS: A total of 120 healthcare professionals completed a questionnaire which directed structured interviews. Participants fell into two cohorts according to whether or not they had used clinical timelines, which gave 60 timeline users and 60 prospective timeline users. MAIN OUTCOME MEASURES: To investigate the awareness of timelines, and the potential benefits of timelines within clinical computing systems. RESULTS: Fifty-eight percent of participants had not heard of the specific term timelines despite 75% of users utilizing a form of timeline on a daily basis. The potential benefits of future timelines were clinical audit (95%CI 77.6-91.6), increased time efficiency (95%CI 77.7-91.6%), reduced clinical error (95%CI 71.0-86.7) and improved patient safety (95%CI 70.0-85.9). One continuous timeline view between primary and secondary care was considered to be of great potential benefit in allowing communication via a unified patient record. CONCLUSIONS: The concept of timelines has enjoyed proven success in healthcare in the USA and in other sectors worldwide. Clinicians are supportive of timelines in healthcare. Formal input from clinicians should be sought when designing and implementing computer systems in healthcare. Timelines in healthcare support clinicians cognitive processes by improving the amount of data available and improving the way in which data are presented

    Visual demonstration of aliasing in planar nuclear medicine imaging: The importance of correct collimator selection by nuclear medicine practitioners Radiography

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    Aliasing artefact is an imaging distortion phenomenon experienced in a wide variety of medical imaging modalities. This case report illustrates its occurrence during planar gamma camera nuclear medicine imaging under non-clinical conditions using experimental incorrect selection of collimators. In accordance with provision of an optimal service, nuclear medicine practitioners are recommended to have sufficient technical expertise along with knowledge of gamma camera operation. The purpose, construction and interaction of collimators used during planar imaging are presented herein with specific regards to the aliasing phenomenon. Furthermore, this case report recommends the careful planning of worklists to avoid frequent collimator changes to reduce the risk of human error

    Extracting information from the text of electronic medical records to improve case detection: a systematic review

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    Background: Electronic medical records (EMRs) are revolutionizing health-related research. One key issue for study quality is the accurate identification of patients with the condition of interest. Information in EMRs can be entered as structured codes or unstructured free text. The majority of research studies have used only coded parts of EMRs for case-detection, which may bias findings, miss cases, and reduce study quality. This review examines whether incorporating information from text into case-detection algorithms can improve research quality. Methods: A systematic search returned 9659 papers, 67 of which reported on the extraction of information from free text of EMRs with the stated purpose of detecting cases of a named clinical condition. Methods for extracting information from text and the technical accuracy of case-detection algorithms were reviewed. Results: Studies mainly used US hospital-based EMRs, and extracted information from text for 41 conditions using keyword searches, rule-based algorithms, and machine learning methods. There was no clear difference in case-detection algorithm accuracy between rule-based and machine learning methods of extraction. Inclusion of information from text resulted in a significant improvement in algorithm sensitivity and area under the receiver operating characteristic in comparison to codes alone (median sensitivity 78% (codes + text) vs 62% (codes), P = .03; median area under the receiver operating characteristic 95% (codes + text) vs 88% (codes), P = .025). Conclusions: Text in EMRs is accessible, especially with open source information extraction algorithms, and significantly improves case detection when combined with codes. More harmonization of reporting within EMR studies is needed, particularly standardized reporting of algorithm accuracy metrics like positive predictive value (precision) and sensitivity (recall)

    Instant availability of patient records, but diminished availability of patient information: A multi-method study of GP's use of electronic patient records

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    <p>Abstract</p> <p>Background</p> <p>In spite of succesful adoption of electronic patient records (EPR) by Norwegian GPs, what constitutes the actual benefits and effects of the use of EPRs in the perspective of the GPs and patients has not been fully characterized. We wanted to study primary care physicians' use of electronic patient record (EPR) systems in terms of use of different EPR functions and the time spent on using the records, as well as the potential effects of EPR systems on the clinician-patient relationship.</p> <p>Methods</p> <p>A combined qualitative and quantitative study that uses data collected from focus groups, observations of primary care encounters and a questionnaire survey of a random sample of general practitioners to describe their use of EPR in primary care.</p> <p>Results</p> <p>The overall availability of individual patient records had improved, but the availability of the information within each EPR was not satisfactory. GPs' use of EPRs were efficient and comprehensive, but have resulted in transfer of administrative work from secretaries to physicians. We found no indications of disturbance of the clinician-patient relationship by use of computers in this study.</p> <p>Conclusion</p> <p>Although GPs are generally satisfied with their EPRs systems, there are still unmet needs and functionality to be covered. It is urgent to find methods that can make a better representation of information in large patient records as well as prevent EPRs from contributing to increased administrative workload of physicians.</p

    A structured registration program can be validly used for quality assessment in general practice

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    ABSTRACT: BACKGROUND: Patient information, medical history, clinical outcomes and demographic information, can be registered in different ways in registration programs. For evaluation of diabetes care, data can easily be extracted from a structured registration program (SRP). The usability of data from this source depends on the agreement of this data with that of the usual data registration in the electronic medical record (EMR). Aim of the study was to determine the comparability of data from an EMR and from an SRP, to determine whether the use of SRP data for quality assessment is justified in general practice. METHODS: We obtained 196 records of diabetes mellitus patients in a sample of general practices in the Netherlands. We compared the agreement between the two programs in terms of laboratory and non-laboratory parameters. Agreement was determined by defining accordance between the programs in absent and present registrations, accordance between values of registrations, and whether the differences found in values were also a clinically relevant difference. RESULTS: No differences were found in the occurrence of registration (absent/present) in the SRP and EMR for all the laboratory parameters. Smoking behaviour, weight and eye examination were registered significantly more often in the SRP than in the EMR. In the EMR, blood pressure was registered significantly more often than in the SRP. Data registered in the EMR and in the SRP had a similar clinical meaning for all parameters (laboratory and non-laboratory). CONCLUSIONS: Laboratory parameters showed good agreement and non-laboratory acceptable agreement of the SRP with the EMR. Data from a structured registration program can be used validly for research purposes and quality assessment in general practice

    Electronic Medical Records: Provotype visualisation maximises clinical usability

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    The Electronic Medical Record (EMR) is the essential tool of the clinical consultation, effectively replacing the paper medical record. Since its gradual adoption in the early 2000s there has been a failure to achieve even moderate levels of EMR usability in clinical settings, resulting in a negative impact on clinical care, time efficiency and patient safety. This research explores how deeper collaboration with clinical users through participatory design, drawing on the disciplines of visual design, user experience (UX) design and visual analytics, might offer a more effective approach to this important problem. The lead researcher for this project is both a practising doctor and design researcher. Usability of two commercial EMR interfaces in the field of sexual health is explored through a mixed method survey, with responses used to inform the design of an interface provotype. This in turn is evaluated through repeat survey and ‘test-drive’ talk-aloud workshops. Results from the survey on two commercial EMR interfaces (n=49) revealed deep dissatisfaction particularly around issues of navigation, flow of consultation, frustration, safety, time-dependent and time-independent data, data complexity and data salience. Comparative provotype evaluation (n=63) showed that clinically-relevant visualisation offers marked gains in clinical usability and performance. This research argues for a re-imagining of the way we look at medical data during the clinical consultation so that the affordances and benefits of the digital format can be exploited more fully. It highlights the value of combining participatory design with visualisation to embed explicit, experiential and even tacit clinical knowledge into the EMR interface
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