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Continuity of care and cardiovascular risk factor management: does care by a single clinician add to informational continuity provided by electronic medical records?

BACKGROUND: Electronic medical records allow information sharing among multiple clinicians treating the same patient, enabling informational continuity between visits. OBJECTIVE: To assess the contribution of continuity of care (COC) with a single clinician to short-term outcomes in a setting in which electronic medical records are used. STUDY DESIGN: Retrospective cohort study. METHODS: Between January 1, 2003, and October 1, 2004, we identified 3718 patients assessed for lipid and blood pressure control and a subgroup of 1448 patients with diabetes mellitus assessed for glycemic control in the primary care clinics of a large Department of Veterans Affairs healthcare facility. Continuity of care was defined as having been seen by the same clinician (physician or nurse practitioner) in the year before testing. Analytic techniques accounting for clustering of patients by providers yielded robust estimators for the association between continuity with a single clinician and control of these cardiovascular disease risk factors. RESULTS: Patients with complete COC were more likely to be men with few medical problems and visits during the study period. Controlling for these differences, we detected no association between COC and patient attainment of recommended goals for cardiovascular disease risk factor control (P < .05 for all). CONCLUSION: Continuity of care with a single clinician contributes little to cardiovascular risk factor management in a setting in which electronic medical records provide enhanced informational continuity, although its value may be greater in the management and outcomes of established diseases that require coordination of care and ongoing collaboration between clinician and patient.

Adult↗

Measuring the success of electronic medical record implementation using electronic and survey data.

Computerization of physician practices is increasing. Stakeholders are demanding demonstrated value for their Electronic Medical Record (EMR) implementations. We developed survey tools to measure medical office processes, including administrative and physician tasks pre- and post-EMR implementation. We included variables that were expected to improve with EMR implementation and those that were not expected to improve, as controls. We measured the same processes pre-EMR, at six months and 18 months post-EMR. Time required for most administrative tasks decreased within six months of EMR implementation. Staff time spent on charting increased with time, in keeping with our anecdotal observations that nurses were given more responsibility for charting in many offices. Physician time to chart increased initially by 50%, but went down to original levels by 18 months. However, this may be due to the drop-out of those physicians who had a difficult time charting electronically.

Attitude of Health Personnel↗

Linking human anatomy to knowledge bases: a visual front end for electronic medical records.

A new concept of a visual electronic medical record is presented based on developments ongoing in the Defense Advanced Research Projects Agency Virtual Soldier Project. This new concept is based on the holographic medical electronic representation (Holomer) and on data formats being developed to support this. The Holomer is being developed in two different visualization environments, one of which is suitable for prototyping the visual electronic medical record. The advantages of a visual approach as a front end for electronic medical records are discussed and specific implementations are presented.

Humans↗

Improving influenza vaccination rates in a pediatric asthma management program by utilization of an electronic medical record.

An electronic medical record was implemented between 2000 and 2001, and a function of the electronic medical record was utilized as a tool to facilitate improving influenza vaccination rates among moderate to severe asthmatics in the pediatric population in 2002 and 2003. This objective was attempted in order to increase influenza vaccine compliance in the pediatric population. Influenza vaccination levels in this select population were increased 80% in 2002 to 2003 over baseline 2001 levels. Correspondingly, pediatric asthma admissions declined 50% in 2002 to 2003 from a plateau level between 1999 and 2001. All of these results were statistically significant to 95% confidence levels.

Adolescent↗

Copying and pasting of examinations within the electronic medical record.

Electronic patient records often include text that has been copied and pasted from other records. A type of copying that involves the highest risk for confusion, medical error, and medico-legal harm is the copying of the clinical examination. We studied this phenomenon using an automated text categorization algorithm to detect copied exams in a set of 167,076 VA records. Exam copying occurred frequently, in about 3% of all exams, or in 25% of patient charts. Thirteen percent of all authors had copied at least one exam, and 3% of authors had copied an exam from another author. There were significant differences between service types and levels of training of the authors. We speculate that copying and pasting of exams degrades the quality of the medical record, and that studying this behavior is integral to our understanding of phenomenology of the electronic medical record.

Algorithms↗

Product overview hotList. Electronic medical records.

October's HotList features electronic medical record systems. Because there are a number of components associated with electronic medical records and limited space, only those companies that claim to have a comprehensive medical electronic medical records system are included in this list. Firms offering only components of the medical record, ancillary systems, consultant services, storage systems or other products not comprising a complete electronic medical record were asked not to submit information for this particular HotList. All data have been provided by individual vendors who responded to survey questions. Computers in Healthcare has made an effort to contact all vendors within this market. See the 1993 Computers in Healthcare Market Directory for complete listings.

Catalogs, Commercial as Topic↗

American Academy of Pediatrics: Task Force on Medical Informatics. Special requirements for electronic medical record systems in pediatrics.

Electronic medical record (EMR) systems, which are usually designed for adult care, must perform certain functions to be useful in pediatric care. This statement outlines these functions (eg, immunization tracking and pediatric dosing calculations) to assist vendors and standards organizations with software design for pediatric systems. The description of these functions should also provide pediatricians with a set of requirements or desirable features to use when evaluating EMR systems. Particular attention is paid to special aspects of pediatric clinical care and privacy issues unique to pediatrics.

Child↗

The accuracy of medication data in an outpatient electronic medical record.

OBJECTIVE: To measure the accuracy of medication records stored in the electronic medical record (EMR) of an outpatient geriatric center. The authors analyzed accuracy from the perspective of a clinician using the data and the perspective of a computer-based medical decision-support system (MDSS). DESIGN: Prospective cohort study. METHODS: The EMR at the geriatric center captures medication data both directly from clinicians and indirectly using encounter forms and data-entry clerks. During a scheduled office visit for medical care, the treating clinician determined whether the medication records for the patient were an accurate representation of the medications that the patient was actually taking. Using the available sources of information (the patient, the patient's vials, any caregivers, and the medical chart), the clinician determined whether the recorded data were correct, whether any data were missing, and the type and cause for each discrepancy found. RESULTS: At the geriatric center, 83% of medication records represented correctly the compound. dose, and schedule of a current medication; 91% represented correctly the compound. 0.37 current medications were missing per patient. The principal cause of errors was the patient (36.1% of errors), who misreported a medication at a previous visit or changed (stopped, started, or dose-adjusted) a medication between visits. The second most frequent cause of errors was failure to capture changes to medications made by outside clinicians, accounting for 25.9% of errors. Transcription errors were a relatively ucommon cause (8.2% of errors). When the accuracy of records from the center was analyzed from the perspective of a MDSS, 90% were correct for compound identity and 1.38 medications were missing or uncoded per patient. The cause of the additional errors of omission was a free-text "comments" field-which it is assumed would be unreadable by current MDSS applications-that was used by clinicians in 18% of records to record the identity of the medication. CONCLUSIONS: Medication records in an outpatient EMR may have significant levels of data error. Based on an analysis of correctable causes of error, the authors conclude that the most effective extension to the EMR studied would be to expand its scope to include all clinicians who can potentially change medications. Even with EMR extensions, however, ineradicable error due to patients and data entry will remain. Several implications of ineradicable error for MDSSs are discussed. The provision of a free-text "comments" field increased the accuracy of medication lists for clinician users at the expense of accuracy for a MDSS.

Aged↗

A cost-benefit analysis of electronic medical records in primary care.

Electronic medical record systems improve the quality of patient care and decrease medical errors, but their financial effects have not been as well documented. The purpose of this study was to estimate the net financial benefit or cost of implementing electronic medical record systems in primary care. We performed a cost-benefit study to analyze the financial effects of electronic medical record systems in ambulatory primary care settings from the perspective of the health care organization. Data were obtained from studies at our institution and from the published literature. The reference strategy for comparisons was the traditional paper-based medical record. The primary outcome measure was the net financial benefit or cost per primary care physician for a 5-year period. The estimated net benefit from using an electronic medical record for a 5-year period was 86,400 US dollars per provider. Benefits accrue primarily from savings in drug expenditures, improved utilization of radiology tests, better capture of charges, and decreased billing errors. In one-way sensitivity analyses, the model was most sensitive to the proportion of patients whose care was capitated; the net benefit varied from a low of 8400 US dollars to a high of 140,100 US dollars . A five-way sensitivity analysis with the most pessimistic and optimistic assumptions showed results ranging from a 2300 US dollars net cost to a 330,900 US dollars net benefit. Implementation of an electronic medical record system in primary care can result in a positive financial return on investment to the health care organization. The magnitude of the return is sensitive to several key factors.

Computers↗

Real and imagined barriers to an electronic medical record.

We developed an electronic medical record for ambulatory patients as part of the integrated clinical information system at Beth Israel Hospital. During the four years since it was installed, clinicians have entered 76,060 patient problems, 137,713 medications, and 33,938 notes. Residents, who had to type notes in themselves, entered 49.5% of their notes into OMR. Several factors that we had predicted would be barriers to an electronic medical record, such as clinician reluctance to type or perform data entry, have not proved to be significant problems. Other anticipated barriers, such as difficulties with dual charting on paper during transition to an electronic medical record, have been realized. The major unexpected barrier that has been encountered is increased clinician concern about the privacy and security of full text notes relative to other data elements in the clinical information system. We have attempted to modify the electronic medical record so as to overcome some of these barriers.

Attitude to Computers↗

The ever imminent electronic medical record.

The electronic medical record (EMR) remains an elusive holy grail. The reasons include limited electronic and voice recognition capabilities, as well as established medical practice patterns. There is also some question as to the time and cost efficacy of inputs into an EMR.

Forecasting↗

Electronic medical record systems at academic health centers: advantages and implementation issues.

The growth of managed care has fueled expectations for a more coordinated delivery of clinical services and a reduction of unnecessary utilization. Among the most important issues that constrain these expectations is the transfer of medical information. Electronic medical record (EMR) systems appear to offer substantive advantages over paper records for both containing costs and improving the quality of care. However, incorporation of EMR systems into practice settings has languished. Among the barriers to implementation are software problems of codification and entry of data, security issues, a dearth of integrated delivery systems, reluctant providers, and prohibitive costs. The training programs of academic health centers (AHCs) are optimal environments for testing and implementing EMR systems. AHCs have the expertise to resolve remaining software issues, the components necessary for integrated delivery, a culture for innovation in clinical practice, and a generation of future providers that can be acclimated to the requisites for computerized records. The authors critically review these and other issues of implementing EMR systems at AHCs and propose four necessary steps for financing their implementation.

Academic Medical Centers↗

[Electronic medical journals are a reality of today].

Internet is changing the way that science is communicated. The future of medical publishing is going electronic. Publishing medical electronic journals is becoming a standard routine for all prominent publishers. Present-day trends in the publishing of medical electronic journals are outlined.

Internet↗

Physician and nurse satisfaction with an Electronic Medical Record system.

Electronic Medical Records (EMRs) are intended to support clinical activity, improve efficiency, and reduce error. Reluctance to use EMRs may exist among clinicians. The purpose of this study was to assess physician and nurse satisfaction with an Emergency Department (ED) EMR. We surveyed Emergency Medicine (EM) physicians and nurses at a large urban teaching hospital after implementation of an Emergency Department EMR. The questionnaire assessed: 1) computer background and experience; 2) perceptions regarding EMR use; and 3) concerns about impact upon quality of patient care. The clinicians find the EMR easy to use and are generally satisfied with the impact on their work. However, they report that the EMR has no positive impact on patient care. They report confusion in following the sequence of screens, and are concerned with the amount of time it takes to use the EMR and the confidentiality of patient information. Similar results were found between physicians and nurses. Nurses, but not physicians, report that they are able to finish work much faster than before implementation (p < 0.05). We were unable to correlate computer background and experience with satisfaction with an EMR. This survey suggests that EM physicians and nurses favor the use of an EMR and suggests opportunities for EMR enhancement.

Adult↗

Statistical modelling of general practice medicine for computer assisted data entry in electronic medical record systems.

Electronic medical record (EMR) systems have much potential, however, there are still a number of issues that need to be resolved before EMRs are widely accepted. One of these issues is the data input task, a potentially serious practical barrier to on-line medical computer usage. This paper reports the empirical modelling of data input requirements for physicians who use a problem-orientated medical record system. Three statistical models (Bayesian conditional probability, multiple linear regression and discriminant analysis) to predict drug treatment given problem diagnoses are derived from EMRs of 2500 general Practice encounters. Two metrics are used to measure the predictive power of the models considering both the number of drugs correctly predicted and the strength with which the models predict them. The models are tested on 500 unseen records from the same patient-physician population and the data used to build the models. The Bayesian model produces the best predictions on unseen data and is also the easiest model to compute. A prototype interface that enables new patient cases to be entered is constructed to demonstrate how the predictive power of the model can translate into benefits in the data entry task.

Bayes Theorem↗

A critical pathway for electronic medical record selection.

Electronic medical records (EMRs) are increasingly becoming a necessary tool in health care. Given their potential to influence every aspect of health care, there has been surprisingly little rigorous research applied to this important piece of emerging health technology. An initial phase of the COMPETE study, which is examining the impact of EMRs on efficiency, quality of care and privacy concerns, involved a rigorous "critical pathway" approach to EMR selection for the study. A multidisciplinary team with clinical, technical and research expertise led an 8-stage evaluation process with direct input from user physicians at each stage. An iterative sequence of review of EMR specifications and features, live product demonstrations, site visits, and negotiations with vendors led to a progressive narrowing of the field of eligible EMR systems. Final scoring was based on 3 main themes of clinical usability, data quality and support/vendor issues. We believe that a rigorous, multidisciplinary process such as this is required to maximize success of any EMR implementation project.

Humans↗