{"title":"Design considerations in migrating an obstetrics clinical record to the Web.","authors":"D A Berkowicz, H C Chueh, G O Barnett","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Recently the American College of Obstetricians and Gynecologists (ACOG) embarked on an effort to promote the development of nationally networked obstetrical records. The Laboratory of Computer Science (LCS) is collaborating with them to help achieve this goal through the development of a web-based prototype of an electronic medical record (EMR) which would allow the entry and display of typical clinical information for the obstetric patient. The process of porting a stand alone application to the web environment necessitated the development of a robust software scheme that could exploit the strengths of Web-based technologies and avoid some of the drawbacks inherent in a stateless environment.</p>","PeriodicalId":79455,"journal":{"name":"Proceedings : a conference of the American Medical Informatics Association. AMIA Fall Symposium","volume":" ","pages":"754-8"},"PeriodicalIF":0.0,"publicationDate":"1997-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2233241/pdf/procamiaafs00001-0788.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"20290688","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"SecondOpinion: interactive Web-based access to a decision model.","authors":"G C Scott, D J Cher, L A Lenert","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>In this paper, we describe a computer architecture, which we call SecondOpinion, designed for automated, normative patient decision support over the World Wide Web. SecondOpinion custom tailors the discussion of therapy options for patients by eliciting their preferences for relevant health states via an interactive WWW interface and then integrating those results in a decision model. The SecondOpinion architecture uses a Finite State Machine representation to track the course of a patient's consultation and to choose the next action to take. The consultation has five distinct types of interactions: explanation of health states, assessment of preferences, detection and correction of errors in preference elicitations, and feedback on the implications of preference. A linear \"summary model\" speeds calculations of predictions from the decision model and makes it possible to dynamically calculate 95% confidence intervals for the marginal utility of each treatment option. Preferences for states are assessed in the order of their variance contribution to the models predictions in an iterative fashion. Only the states required to obtain a 95% Confidence Interval (CI) that excludes zero are assessed. In Monte Carlo simulation studies, the average number of utility assessments required for the 95% CI to exclude zero in an individual was 4.24 (SD = 1.97) out of 8 relevant health states. the SecondOpinion architecture provides an efficient, \"discussion-like\" experience leading to an individual-specific treatment recommendation. It may be a cost-effective approach to bring decision analytic advice to the bedside.</p>","PeriodicalId":79455,"journal":{"name":"Proceedings : a conference of the American Medical Informatics Association. AMIA Fall Symposium","volume":" ","pages":"769-73"},"PeriodicalIF":0.0,"publicationDate":"1997-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2233584/pdf/procamiaafs00001-0803.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"20290691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"CytoBase: an electronic medical record for cervical cytology.","authors":"J K Golabek, P J Brueckner, A M Seidenfeld","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>A partnership of medical laboratories in Ontario, Canada has developed and made operational a centralized interactive database of cervical cytology (Pap) reports. This system automatically registers some 60,000 reports monthly, which are submitted electronically from geographically diverse sources. Patient histories are provided on-line to authorized pathologists to support ongoing diagnoses. A formalized coding system has been developed to represent elements of Pap reports in machine readable format, including diagnosis, clinical information about the patient, specimen adequacy, methods of specimen collection and follow-up recommendations. The system operates over a private network based on Internet standards. A review of operations, which commenced June 1, 1996, provides insights into applied EMR technology.</p>","PeriodicalId":79455,"journal":{"name":"Proceedings : a conference of the American Medical Informatics Association. AMIA Fall Symposium","volume":" ","pages":"37-41"},"PeriodicalIF":0.0,"publicationDate":"1997-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2233568/pdf/procamiaafs00001-0076.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"20287526","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Identification of findings suspicious for breast cancer based on natural language processing of mammogram reports.","authors":"N L Jain, C Friedman","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>There is need for encoded data for computerized clinical decision support, but most such data are unavailable as they are in free-text reports. Natural language processing offers one alternative for encoding such data. MedLEE is a natural language processing system which is in routine use for encoding chest radiograph and mammogram reports. In this paper, we study MedLEE's ability to identify mammogram findings suspicious for breast cancer by comparing MedLEE's encoding with a logbook of all suspicious findings maintained by the mammography center. While MedLEE was able to identify all the suspicious findings, it varied in the level of granularity, particularly about the location of the suspicious finding. Thus, natural language processing is a useful technique for encoding mammogram reports in order to detect suspicious findings.</p>","PeriodicalId":79455,"journal":{"name":"Proceedings : a conference of the American Medical Informatics Association. AMIA Fall Symposium","volume":" ","pages":"829-33"},"PeriodicalIF":0.0,"publicationDate":"1997-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2233320/pdf/procamiaafs00001-0863.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"20287538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Creating an environment for linking knowledge-based systems to a clinical database: a suite of tools.","authors":"A Wilcox, G Hripcsak, C Chen","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>A difficulty in using knowledge-based systems has been linking them to clinical databases. The challenge is in making a correct mapping from the data in the knowledge base to the data in the database. At Columbia-Presbyterian Medical Center, we have built a suite of tools developed to create queries that address this challenge. The tools were designed to allow users to easily retrieve data from the database without requiring the users have extensive database and vocabulary knowledge. The tools help users write correct queries (Query Builder), find correct terms in the clinical database (MED Browser), aggregate the resulting data into a useful form (Clinical Database Browser), and allow the user to test the query within the environment of the knowledge-based system (Event Playback). The tools have been in use for one year.</p>","PeriodicalId":79455,"journal":{"name":"Proceedings : a conference of the American Medical Informatics Association. AMIA Fall Symposium","volume":" ","pages":"303-7"},"PeriodicalIF":0.0,"publicationDate":"1997-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2233556/pdf/procamiaafs00001-0341.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"20287590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Experiences in deployment of a Web-based CIS for referring physicians.","authors":"R Kittredge, U Rabbani, F Melanson, O Barnett","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Improving the timeliness and efficiency of information exchange between the hospital and clinicians in the health care community is an area of active interest at the Massachusetts General Hospital (MGH). Providing computer-based access to referring physicians who are not formally affiliated with the hospital is a particular challenge since these offices are not connected to the hospital network and lack the standard hospital workstation hardware and software. Installing clients for the hospital's clinical applications at these sites has been a difficult and costly proposition. The emergence of Web technology yields an alternative method for developing clinical applications for this remote, diverse user population. We present our experiences during the first six months of deployment of a Web-based clinical information system designed for use by referring physicians.</p>","PeriodicalId":79455,"journal":{"name":"Proceedings : a conference of the American Medical Informatics Association. AMIA Fall Symposium","volume":" ","pages":"320-4"},"PeriodicalIF":0.0,"publicationDate":"1997-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2233457/pdf/procamiaafs00001-0357.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"20287593","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M M Wagner, M Pankaskie, W Hogan, F C Tsui, S A Eisenstadt, E Rodriguez, J K Vries
{"title":"Clinical event monitoring at the University of Pittsburgh.","authors":"M M Wagner, M Pankaskie, W Hogan, F C Tsui, S A Eisenstadt, E Rodriguez, J K Vries","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Although the literature on event monitoring is extensive, it does not cover all issues that we encountered while developing an event monitor at our institution. We had to resolve issues related to event detection, scalability, what topics were suitable for asynchronous decision support, and overlap of efforts of other groups at the institution attempting to improve quality and lower cost of care. In this paper, we describe our experience deploying CLEM, the clinical event monitor at the University of Pittsburgh with emphasis on these topics.</p>","PeriodicalId":79455,"journal":{"name":"Proceedings : a conference of the American Medical Informatics Association. AMIA Fall Symposium","volume":" ","pages":"188-92"},"PeriodicalIF":0.0,"publicationDate":"1997-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2233316/pdf/procamiaafs00001-0226.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"20287853","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
I Cherrak, J F Paul, M C Jaulent, G Chatellier, P F Plouin, J C Gaux, P Degoulet
{"title":"Automatic stenosis detection and quantification in renal arteriography.","authors":"I Cherrak, J F Paul, M C Jaulent, G Chatellier, P F Plouin, J C Gaux, P Degoulet","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>Visual assessment of the degree of renal artery stenosis on renal arteriography has a large inter- and intraobserver variability. This degree is usually estimated by the ratio between the most narrowed portion of the artery and the reference diameter. The latter is a priori unknown information and thus operator dependent. The objective of the present work was to test the performances of a computer system that was designed to analyze and quantify lesions on 2D renal arteriograms. The main hypothesis was to consider that the most frequent diameter computed along the artery was a good candidate to approximate the reference diameter. Forty nine patient images were collected from the EMMA randomized trial, a multicenter study comparing two treatment strategies in unilateral atheromatous renal artery stenosis of at least 60%. For each image, the degree of stenosis was evaluated by five independent experts and the mean value was used to represent the gold standard for the computer system. The system is based on a fuzzy automaton and performs a syntactic analysis of the arterial segment providing automatic and reproducible quantification of lesions. Both the radiologist caring for the patient and the system were compared to the gold standard. Compared to individual radiologists, the computer system gave a more precise estimation of percent stenosis and did not over or under estimate the severity of the lesion.</p>","PeriodicalId":79455,"journal":{"name":"Proceedings : a conference of the American Medical Informatics Association. AMIA Fall Symposium","volume":" ","pages":"66-70"},"PeriodicalIF":0.0,"publicationDate":"1997-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2233450/pdf/procamiaafs00001-0105.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"20288064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Mobile Telemedicine Testbed.","authors":"D M Gagliano, Y Xiao","doi":"","DOIUrl":"","url":null,"abstract":"","PeriodicalId":79455,"journal":{"name":"Proceedings : a conference of the American Medical Informatics Association. AMIA Fall Symposium","volume":" ","pages":"383-7"},"PeriodicalIF":0.0,"publicationDate":"1997-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2233484/pdf/procamiaafs00001-0420.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"20288069","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Conceptual schemata for terminology: a continuum from headings to values in patient records and messages.","authors":"A R Mori, E Galeazzi, F Consorti, W D Bidgood","doi":"","DOIUrl":"","url":null,"abstract":"<p><p>We developed a technique of reverse engineering to extract a conceptual schema--also called \"categorial structure\" in the European standard CEN ENV 12264 (MoSe)--from a set of terminological phrases. The technique was originally applied to coding systems, ie. to large value sets. We applied this technique to subsets of two new terminological resources for message standards: headings of patient record from Clinical LOINC and names of \"Context Groups\" for structured reporting from SNOMED DICOM Microglossary (SDM). Both sources provide context-independent names for message fields and domains of admitted values. Therefore conceptual schemata on the potential content for a field are compatible with the ones on names of the fields themselves. Both kinds of schemata can be compared and integrated with conceptual schemata for the information system that manages the patient record. This continuity in the schemata allows the coupling of applications with different organization of data, and will facilitate mapping from an application to standard messages and viceversa. Moreover, the simplified representation produced according the MoSe approach is easy to understand by healthcare operators, allowing their progressive involvement in cooperative efforts of design, discussion and validation of the schemata.</p>","PeriodicalId":79455,"journal":{"name":"Proceedings : a conference of the American Medical Informatics Association. AMIA Fall Symposium","volume":" ","pages":"650-4"},"PeriodicalIF":0.0,"publicationDate":"1997-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2233435/pdf/procamiaafs00001-0685.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"20288431","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}