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At least 127 records · Page 7Linked to original sources

Selected impressions on the beginning of the electronic medical record and patient information.

OBJECTIVES: To present an overview of early European and American work on Electronic Medical Records and patient information. METHOD: The invited lectures of "pioneers of electronic patient information" given at the farewell symposium of Wolfgang Giere in Frankfurt, Germany, are summarized and discussed. RESULTS: The origin of medical record writing goes back to Hippocrates and over many centuries this important medical duty was regarded as an annoying, laborious and error-prone task. First steps towards a better medical record started in 1936 with punch cards. In the 1960s the minimum basic data set, a unique patient ID was introduced and even for outpatients first computerized medical record systems were developed applying some important standards and well accepted data structures. Nowadays multimedia are included in patient record systems, highly specialized subsystems e.g. for radiology or cardiology are available, and semantic and statistic mining techniques as well as medical classifications and standardized terminologies support evaluation. All these methods should primarily improve the quality of care, reduce errors, improve communication between multiple specialists, reduce wait times for patients and improve efficiency. CONCLUSIONS: Over decades it became obvious that the structure of a medical record notably for coded data but also for narrative text and pictures must be carefully modelled. Well maintained standardized health terminologies and medical classifications are important issues for a user-friendly electronic medical record, which bring benefits for clinicians and patients.

Diffusion of Innovation↗

Computerized medical records in family medicine journals, 1981-1990: diffusion of an innovation.

This study examined whether references to computerized medical records in family medicine journals had increased over the past decade as an example of diffusion of innovations. The abstract and methods sections of articles in Family Medicine, the Journal of Family Practice, and the Journal of the American Board of Family Practice were reviewed from 1981 to 1990 for explicit references to computerized medical records. The proportion of articles citing computerized medical records did not significantly increase overall or in any one journal during this time. Articles referenced computerized medical records with regard to sample selection for research studies (54%), description of computerized medical record systems (26%), and generation of health maintenance reminders (4%). These results are discussed in the context of family medicine literature and in terms of factors that typically impede the diffusion of innovations.

Diffusion of Innovation↗

[Electronic data processing assisted documentation of tumor after care in an ambulatory setting--a simplification of daily routine].

A data collection system on microcomputer was developed for patients with malignant diseases in ambulant aftercare. At the same time when patient data are collected to be sent to a central medicostatistical plotting station, as it is usual in Austrian hospitals, a file for further aftercare is opened. By data transfer to other software products, statistical data evaluation is possible. Patients can also be called to hospital for different reasons.

Aftercare↗

Mining a clinical data warehouse to discover disease-finding associations using co-occurrence statistics.

This paper applies co-occurrence statistics to discover disease-finding associations in a clinical data warehouse. We used two methods, chi2 statistics and the proportion confidence interval (PCI) method, to measure the dependence of pairs of diseases and findings, and then used heuristic cutoff values for association selection. An intrinsic evaluation showed that 94 percent of disease-finding associations obtained by chi2 statistics and 76.8 percent obtained by the PCI method were true associations. The selected associations were used to construct knowledge bases of disease-finding relations (KB-chi2, KB-PCI). An extrinsic evaluation showed that both KB-chi2 and KB-PCI could assist in eliminating clinically non-informative and redundant findings from problem lists generated by our automated problem list summarization system.

Chi-Square Distribution↗

Preliminary validation of an automated health problem list.

The expanding functionalities of EHR require valid, medical problem list. This study describes the preliminary validation of an automated problem list. A total of 5482 health problems were documented in the system for 1535 patients. Sixty-six percent of all health problems were automated by the system through available information on administrative databases and only 3.6% of those were rejected by physicians. Further validation of the system's automated problem list is being conducted.

Electronic Data Processing↗

On educating about medical data management - the other side of the electronic health record.

OBJECTIVES: To summarize background, challenges, objectives, and methods for the usability of patient data, in particular with respect to their multiple use, and to point out how to lecture medical data management. METHODS: Analyzing the literature, providing an example based on Simpson's paradox and summarizing research and education in the field of medical data management, respectively health information management (in German: Medizinische Dokumentation). RESULTS: For the multiple use of patient data, three main categories of use can be identified: patient-oriented (or casuistic) analysis, patient-group reporting, and analysis for clinical studies. A so-called documentation protocol, related to study plans in clinical trials, supports the multiple use of data from the electronic health record in order to obtain valid, interpretable results. Lectures on medical data management may contain modules on introduction, basic concepts of clinical data management and coding systems, important medical coding systems (e.g. ICD, SNOMED, TNM, UMLS), typical medical documentation systems (e.g. on patient records, clinical and epidemiological registers), utilization of clinical data management systems, planning of medical coding systems and of clinical data management systems, hospital information systems and the electronic patient record, and on data management in clinical studies. CONCLUSION: Usability, the ultimate goal of recording and managing patient data, requires, besides technical considerations, in addition appropriate methodology on medical data management, especially if data is intended to be used for multiple purposes, e.g. for patient care and quality management and clinical research. Medical data management should be taught in health and biomedical informatics programs.

Curriculum↗

Non-categorical problem lists in a primary-care information system.

An ambulatory-care patient-tracking system has been implemented that records non-categorical problem descriptions in the outpatient problem list. The system does not restrict physicians to the use of predefined diagnostic categories. Instead, the system stores patient problems in a database as free-text records. Subsequent diagnostic categorization and coding is accomplished through prompted free-text input and appropriate reference databases. This system design allows an outpatient problem-list summary to reflect non-categorical health-status information in addition to coded medical diagnoses.

Ambulatory Care Information Systems↗

Incorporating client-server database architecture and graphical user interface into outpatient medical records.

Computerized medical record systems require structured database architectures for information processing. However, the data must be able to be transferred across heterogeneous platform and software systems. Client-Server architecture allows for distributive processing of information among networked computers and provides the flexibility needed to link diverse systems together effectively. We have incorporated this client-server model with a graphical user interface into an outpatient medical record system, known as SuperChart, for the Department of Family Medicine at SUNY Health Science Center at Syracuse. SuperChart was developed using SuperCard and Oracle SuperCard uses modern object-oriented programming to support a hypermedia environment. Oracle is a powerful relational database management system that incorporates a client-server architecture. This provides both a distributed database and distributed processing which improves performance.

Ambulatory Care Information Systems↗

Foundations for an electronic medical record.

Given the many efforts currently under way to develop standards for electronic medical records, it is important to step back and reexamine the fundamental principles which should underlie a model of the electronic medical record. This paper presents an analysis based on the experience in developing the PEN & PAD prototype clinical workstation. The fundamental contention is that the requirements for a medical record must be grounded in its use for patient care. The basic requirement is that it be a faithful record of what clinicians have heard, seen, thought, and done. The other requirements for a medical record, e.g., that it be attributable and permanent, follow naturally from this view. We use the criteria developed to re-examine Weed's Problem Oriented Medical Record and also relate the criteria to secondary uses of the medical record for population data, communications and decision support.

Decision Making↗

[Text, archiving, coding--integration with electronic data processing].

For a successful computer-installation in the medical area you need a staff, which is used to work with computers in the daily routine. We tried with this project to establish the computer in a medical office by doing the whole patient-related writings on a specially tailored software. Most of the daily routine can now be done with the help of the computer. A certain time-saving effect could be achieved, although this was not our first aim. On this base we are now able to solve other problems such as coding, statistics or archiving routines by using our established computer environment.

Archives↗

[Registration of detailed data in the medical record or how to translate "impressions" into measurable observations].

Every medical case record represents a mass of data (texts, pictures, figures, etc.) in an unstructured form. The physician needs to retrieve this data via several access routes: temporal (dependent on date or sequences of events), type of data (diagnostic, treatment, clinical signs, laboratory findings, image descriptors, all with their interrelationships), or depending on the severity of the disease, etc. Retrieval of this data fulfils several functions: circulation of a case record among specialists, assistance in summarizing a long and complex clinical course, comparison of patients, research, and teaching. Three projects are described which have the same aim: structuring of the case record in order to retrieve detailed data on patients as individuals and describe clinical courses on the basis of measurable observations. This structure must be understandable to a computer (directly or indirectly) so that searches and comparisons can be performed automatically. The first project, entitled "indexed paragraph prototype" reproduces the structure of the problem-oriented case record and is designed to input the Medical Outpatients Department's follow-up notes into the computer. The second, "automatic language analysis", aims to exploit two characteristics of medical language, its omnipresence in the case record and its reliability, in view of its status as the spontaneous vehicle of communication between physicians. The third, "collection of clinical signs during consultation", is based on a prospective collection of all elements of clinical observation, structured temporally consultation by consultation. The purpose of precise collection of detailed and measurable observations in individual patients is to identify those among the clinical signs which display the greatest power of discrimination, i.e. those which best serve to predict the case's evolution.

Abstracting and Indexing↗

Are referring physicians satisfied with endoscopy reports?

To assess the opinions of referring physicians on the contents of endoscopy reports, 150 consecutive endoscopy reports were accompanied by a questionnaire. Of these, 102 reports were returned: response was 68%. Almost half of the reports were considered not fully satisfactory. However, endoscopy reports may be improved by including information such as indication, therapy plan and follow-up plan on a more regular basis, and add clarity whether findings may account for complaints of the patient. To tailor endoscopy reports to the needs of individual referring physicians, more explicit information of referring physicians is required. If endoscopists are responsible for the information they provide to the referrer, it is also their task to facilitate the explicit formulation of preferences by the referrer.

Attitude of Health Personnel↗