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PubMed2003

Textual content, health problems and diagnostic codes in electronic patient records in general practice.

OBJECTIVE: To investigate textual content, health problems and diagnostic codes in everyday electronic patient records. DESIGN: Retrospective and observational database study. SETTING: Primary health care in Stockholm. SUBJECTS: Twenty randomly selected general practitioners with 20 records each. MAIN OUTCOME MEASURES: The frequency of use of problem-oriented medical records. The number of words, problems and diagnostic codes. The completeness and correctness of the diagnostic codes. RESULTS: About 14.5% of 400 studied records were problem-oriented. The mean number of words per record was 99.4, and the mean number of problems managed per record was 1.2. On average, there were 1.1 diagnostic codes per record and this differed widely among GPs and also among the electronic patient record systems. The mean number of codes per problem was 0.9, and the proportion of correct codes was 97.4%. CONCLUSIONS: The electronic patient records in general practice in Stockholm have an extensive textual content. A vast majority of the problems are coded and the completeness and correctness of diagnostic codes are high. It seems that problem-oriented electronic patient record systems enforce coding activities. It is feasible to establish a database of diagnostic data for research and health care planning based on electronic patient records.

Disease↗
PubMed1994

Information management in primary medical care in South Australia.

The objectives of this study were to describe how GPs in South Australia manage and use office and clinical information, as well as their plans for the future. The study was set in a primary medical care centre in South Australia, and used a cross-sectional study with a mail questionnaire. Utilization of and satisfaction with office and clinical information management systems, with a focus on the use of patient summaries were outcome measures. A random sample was obtained from a register of GPs in South Australia that had been stratified into geographic regions based on socioeconomic indicators. Sixty-eight per cent of GPs approached responded (n = 315). There was no significant difference in response rate from each region. The use of computer applications was comparable to that in the general population. Half the GPs used index cards and 5% used computer-based records. Users of RACGP problem-oriented A4 folders were most (92%) and index card users least (65%) satisfied. The use of patient summaries could be improved. GPs planned to change to computer-based billing, more comprehensive paper-based records and computer-based patient records. Perceived reasons for and obstacles to change were documented. Factors that influenced the use of different forms of office and clinical information management were type and place of practice, staff employed, gender, a diploma in obstetrics, age, year of graduation, type of record used and satisfaction with it, vocational registration, FRACGP and FMP training. Given the pattern of utilization, generally low satisfaction and planned changes, there is an unmet need for useful office and clinical information management systems in general practice.(ABSTRACT TRUNCATED AT 250 WORDS)

Adult↗
PubMedDate not supplied

Evolution of the medical record format during two years' use of an open-format microcomputer charting system.

In 1988, the authors implemented a microcomputer charting system (SmartChart) within a busy dialysis unit and an outpatient dialysis practice, to be used as the primary recording instrument for physicians and nurses. The program defined the organization of the medical record as three types of titles: problems, therapies, and numerics. Each title had a variety of associated data, such as comments, dosages, values and normals. Predefined care plans were created, and keyboard entry was in a completely open format. Over the next two years, the overall format of this medical record proved to be highly effective, and strict problem orientation allowed both nurses and physicians to use the same problem list. A more specific organization of the title lists in the medical record was needed, however. Separate symbols were placed in front of: problem titles related to prior therapies; problems recorded during current therapies; History and Physical (H&P) data; Plans/Orders; and inactive problems. PRN therapies, those therapies related to patient treatments, vital signs, and numeric data recorded during treatments were identified. The basic format of the medical record that evolved has proven suitable for outpatient, inpatient, and specialized treatment centers.

Attitude to Computers↗
PubMedDate not supplied

The granularity of medical narratives and its effect on the speed and completeness of information retrieval.

OBJECTIVE: Using electronic rather than paper-based record systems improves clinicians' information retrieval from patient narratives. However, few studies address how data should be organized for this purpose. Information retrieval from clinical narratives containing free text involves two steps: searching for a labeled segment and reading its content. The authors hypothesized that physicians can retrieve information better when clinical narratives are divided into many small, labeled segments ("high granularity"). DESIGN: The study tested the ability of 24 internists and 12 residents at a teaching hospital to retrieve information from an electronic medical record--in terms of speed and completeness--when using different granularities of clinical narratives. Participants solved, without time pressure, predefined problems concerning three voluminous, inpatient case records. To mitigate confounding factors, participants were randomly allocated to a sequence that was balanced by patient case and learning effect. RESULTS: Compared with retrieval from undivided notes, information retrieval from problem-partitioned notes was 22 percent faster (statistically significant), whereas retrieval from notes divided into organ systems was only 11 percent faster (not statistically significant). Subdividing segments beyond organ systems was 13 percent slower (statistically significant) than not subdividing. Granularity of medical narratives affected the speed but not the completeness of information retrieval. CONCLUSION: Dividing voluminous free-text clinical narratives into labeled segments makes patient-related information retrieval easier. However, too much subdivision slows retrieval. Study results suggest that a coarser granularity is required for optimal information retrieval than for structured data entry. Validation of these conclusions in real-life clinical practice is recommended.

Cross-Over Studies↗
PubMed2005

Automation of a problem list using natural language processing.

BACKGROUND: The medical problem list is an important part of the electronic medical record in development in our institution. To serve the functions it is designed for, the problem list has to be as accurate and timely as possible. However, the current problem list is usually incomplete and inaccurate, and is often totally unused. To alleviate this issue, we are building an environment where the problem list can be easily and effectively maintained. METHODS: For this project, 80 medical problems were selected for their frequency of use in our future clinical field of evaluation (cardiovascular). We have developed an Automated Problem List system composed of two main components: a background and a foreground application. The background application uses Natural Language Processing (NLP) to harvest potential problem list entries from the list of 80 targeted problems detected in the multiple free-text electronic documents available in our electronic medical record. These proposed medical problems drive the foreground application designed for management of the problem list. Within this application, the extracted problems are proposed to the physicians for addition to the official problem list. RESULTS: The set of 80 targeted medical problems selected for this project covered about 5% of all possible diagnoses coded in ICD-9-CM in our study population (cardiovascular adult inpatients), but about 64% of all instances of these coded diagnoses. The system contains algorithms to detect first document sections, then sentences within these sections, and finally potential problems within the sentences. The initial evaluation of the section and sentence detection algorithms demonstrated a sensitivity and positive predictive value of 100% when detecting sections, and a sensitivity of 89% and a positive predictive value of 94% when detecting sentences. CONCLUSION: The global aim of our project is to automate the process of creating and maintaining a problem list for hospitalized patients and thereby help to guarantee the timeliness, accuracy and completeness of this information.

Adult↗
PubMed2005

Disease and intolerability documentation in electronic patient records.

BACKGROUND: Documentation of diseases and intolerabilities in electronic patient records (EPRs) in pharmacies is needed to produce an alert in case a contraindicated medicine is prescribed. Limited research is available concerning EPRs in pharmacies. OBJECTIVE: To study the prevalence and quality of documentation of diseases and intolerabilities in EPRs in a sample of Dutch community pharmacies. METHODS: Each participating pharmacy (N = 79) collected data on one day in May 2003 for each patient enrolled into the study (N = 687) concerning demographics, drug use, and documentation of diseases and intolerabilities. RESULTS: In 57.4% of the EPRs, at least one disease and, in 7.9%, at least one intolerability was documented. Higher age, number of drugs used, and chronic disease score were associated with any documentation of a disease/intolerability in the EPR. The highest sensitivity scores (completeness) were found for diabetes (84.7%), asthma/chronic obstructive pulmonary disease (strict definition: 75.9%), and hypothyroidism (75.0%). Rather low values were found for prostatic hyperplasia (55.6%) and heart failure (29.4%). The positive predictive value (reliability) was high for hypothyroidism (100%) and diabetes (87.1%). CONCLUSIONS: In a selection of Dutch pharmacies, at least one documented disease and/or intolerability was found in the EPR of almost 60% of the patients. Certain diseases were documented to a relatively high degree; others had poorer levels of documentation. For optimal surveillance of drug-disease interactions in pharmacies, the frequency and quality of disease and intolerability documentation need further improvement.

Community Pharmacy Services↗
PubMed2003

A methodology for the functional comparison of coding schemes in primary care.

There has been massive investment in the development of clinical terminologies for use in electronic patient records. However, there has been little published evidence for the added value for primary care that implementation of such a terminology would offer. This paper outlines a methodology that has been used to compare two existing coding schemes (Read codes 5 byte set and Clinical Terms Version 3-CTV3) and demonstrates their relative performance using a certainty-agreement diagram. In the study described, CTV3 offers improved accuracy and consistency with improved usability. The potential advantages of the recently released terminology, SNOMED Clinical Terms, are briefly considered in this context.

Family Practice↗
PubMed2003

How will practices cope with information for the new GMS contract? Coronary heart disease data recording in five Scottish practices.

OBJECTIVES: To investigate whether practices will be ready for the data reporting requirements for the new General Medical Services (GMS) contract, using coronary heart disease (CHD) as an example. DESIGN: Cross-sectional survey. DATA SOURCES: Electronic general practitioner (GP) records of all CHD patients in five Scottish practices, validated by manual searches in 50 randomly selected patients in each practice. MAIN OUTCOME MEASURES: Recording of family history, smoking status, blood pressure (BP), diabetes testing, aspirin therapy and cholesterol measurement. RESULTS: It is extremely easy for practices with completely electronic patient records to extract a disease register (mean 10 min, range 38 sec to 3 hr 6 min). Extraction of a complete dataset takes several days if it involves checking through paper records, whereas setting up and running a search from electronic records is possible in less than two hours. If practices use the same clinical system and identical data entry templates, the data can be directly compared. Some items that are easily recorded as part of routine clinical practice, such as prescribing of aspirin, are well recorded, but others, such as BP recording, are more of a problem. One hundred percent of the CHD patients sampled had a BP recording within the previous year, but some practices had these data in the paper records where they were not readily accessible. CONCLUSIONS: We have shown that in Scotland there is a high level of testing and recording of all the important information regarding patients with recorded CHD, irrespective of whether practices have fully electronic records, paper-based records, or a mixture of the two. If practices have fully electronic patient records, the information can be extracted easily, but unless there is a standard template, the information can only be viewed in isolation and is of little value for comparative purposes.

Coronary Disease↗
PubMed1991

Use of primary health care in Spili, Crete, and in Dalby, Sweden.

A computerized medical record system was introduced in Greek primary health care (PHC) in the village of Spili in Crete. The present study was carried out to study similarities and differences in the pattern of PHC use in Dalby Health Centre, Sweden (DHC), and Spili Health Centre, Greece (SHC). In both Dalby and Spili more than half the population contacted their respective health centre during 1989. Patients contacted DHC more often than SHC, 3.33 vs 2.30 times. Relatively more females than males used the health services in Dalby (64% vs 50%) but not in Spili (57% vs 55%). More visits were made by appointment at DHC than SHC (36.0% vs 12.6%). There were great similarities in the two areas in the ten most common diagnoses, analysed in four age-groups. In both areas, acute upper respiratory infections dominated in the youngest age-groups, and hypertension and diabetes in those aged 45 years and above.

Adolescent↗
PubMed1998

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Abstracting and Indexing↗
PubMed1998

The role of compositionality in standardized problem list generation.

Compositionality is the ability of a Vocabulary System to record non-atomic strings. In this manuscript we define the types of composition, which can occur. We will then propose methods for both server based and client-based composition. We will differentiate the terms Pre-Coordination, Post-Coordination, and User-Directed Coordination. A simple grammar for the recording of terms with concept level identification will be presented, with examples from the Unified Medical Language System's (UMLS) Metathesaurus. We present an implementation of a Window's NT based client application and a remote Internet Based Vocabulary Server, which makes use of this method of compositionality. Finally we will suggest a research agenda which we believe is necessary to move forward toward a more complete understanding of compositionality. This work has the promise of paving the way toward a robust and complete Problem List Entry Tool.

Humans↗
PubMed1999

Embedding guidelines into direct physician order entry: simple methods, powerful results.

Kaiser Permanente in the Northwest Region has implemented a comprehensive outpatient computer-based patient record (CPR). Using this system, clinicians electronically order laboratory tests, radiology tests, and prescriptions. Clinicians also use this comprehensive CPR to document encounters, code diagnoses and procedures, maintain problem lists, and to send patient-specific messages and referrals to other medical providers. Healthcare for our entire membership of 440,000 covered lives is now provided through this system [1]. Implementation of a comprehensive CPR with direct physician order-entry provides the opportunity to embed guidelines into the ordering process. This article describes the underlying theme and various simple but effective methods we use to embed guidelines into the ordering process. Our experience demonstrates the powerful effect of these simple methods to reduce unnecessary variation and to reduce cost while maintaining or improving the quality of care delivery.

Clinical Laboratory Techniques↗
PubMed1999

Barriers to the clinical implementation of compositionality.

BACKGROUND: Compositional mechanisms for the entry of clinically relevant controlled vocabularies have been suggested as a possible solution to providing adequate descriptive precision while keeping term vocabulary redundancy under control. As of yet, there are no widely accepted term navigators that allow physicians to enter problem lists utilizing controlled vocabularies with compositionality. METHODS: We report on the results of a usability trial of 5 physicians using our most recent attempt at developing the Mayo Problem List Manager. We tested the implementation of an automated term composition, and hierarchical term dissection. RESULTS: Participants found acceptable terms 96% of the time and found automated term composition helpful in 85% of the case scenarios. There was significant confusion about the terminology used to describe compositional elements (kernel concepts, modifiers, and qualifiers) however participants used the functions appropriately. Speed of entry was universally stated as the limiting factor. CONCLUSIONS: The variety of methods that our participants used to enter terms highlights the need for multiple ways to accomplish the task of data entry. Successful implementation of user directed compositionality could be accomplished with further improvement of the user interface and the underlying terminology.

Humans↗