Time Spent on Dedicated Patient Care and Documentation Tasks Before and After the Introduction of a Structured and Standardized Electronic Health Record (original) (raw)
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Physician Practice Variation in Electronic Health Record Documentation
2016
Adoption of electronic health records (EHRs) was motivated by the expectation that they would improve quality and decrease costs of care. EHRs' value, however, depends on how they are used, which likely explains the heterogeneous benefits observed in the literature. This dissertation uses mixed methods to explore a critical component of EHR use in primary care: variation in EHR documentation, defined as differences in how users record or remove information. The first chapter delineates a conceptual framework of variation in EHR documentation that includes five different forms of variation and five levels where the forms may materialize. This chapter focuses on potentially harmful variation by detailing how non-patient factors foster variation that interferes with clinical decision support, care coordination, and population health management, jeopardizing the efficient delivery of high-quality healthcare. The second chapter measures variation in one form of variation, completion of documentation, in a national sample of primary care practices. Using data from a major EHR vendor, this chapter finds differences in how variably providers complete fifteen different clinical documentation categories and identifies patient's problems, the provider's assessment and diagnosis, the social history, the review of systems, and communication about lab and test results as the most varied. The majority of variation exists across providers in the same practice, x suggesting providers are making different decisions about documentation for comparable patients. The final chapter explores the context of this variation with semi-structured interviews, finding that variation in EHR documentation is perceived as a commonplace phenomenon resulting from a flexible EHR design that allows users to develop different documentation styles. Variation reportedly introduced inefficiencies into care delivery and created patient safety and care quality risks from missed or misinterpreted information. Respondents identified additional training, ongoing meetings, and improvements in EHR design as effective strategies to prevent harm. Widespread variation in EHR documentation can interfere with care delivery by obscuring the location and meaning of patient information. In order to realize gains from adopting EHRs, practices, vendors, and policymakers must collaboratively develop better interfaces and clearer guidelines to support their effective use.
Use of electronic clinical documentation: time spent and team interactions
Journal of the American Medical Informatics Association, 2011
Objective To measure the time spent authoring and viewing documentation and to study patterns of usage in healthcare practice. Design Audit logs for an electronic health record were used to calculate rates, and social network analysis was applied to ascertain usage patterns. Subjects comprised all care providers at an urban academic medical center who authored or viewed electronic documentation. Measurement Rate and time of authoring and viewing clinical documentation, and associations among users were measured. Results Users spent 20e103 min per day authoring notes and 7e56 min per day viewing notes, with physicians spending less than 90 min per day total. About 16% of attendings' notes, 8% of residents' notes, and 38% of nurses' notes went unread by other users, and, overall, 16% of notes were never read by anyone. Viewing of notes dropped quickly with the age of the note, but notes were read at a low but measurable rate, even after 2 years. Most healthcare teams (77%) included a nurse, an attending, and a resident, and those three users' groups were the first to write notes during an admission. Limitations The limitations were restriction to a single academic medical center and use of log files without direct observation. Conclusions Care providers spend a significant amount of time viewing and authoring notes. Many notes are never read, and rates of usage vary significantly by author and viewer. While the rate of viewing a note drops quickly with its age, even after 2 years inpatient notes are still viewed.
Physician Information Needs and Electronic Health Records (EHRs): Time to Reengineer the Clinic Note
Journal of the American Board of Family Medicine : JABFM
Primary care physicians face cognitive overload daily, perhaps exacerbated by the form of electronic health record documentation. We examined physician information needs to prepare for clinic visits, focusing on past clinic progress notes. This study used cognitive task analysis with 16 primary care physicians in the scenario of preparing for office visits. Physicians reviewed simulated acute and chronic care visit notes. We collected field notes and document highlighting and review, and we audio-recorded cognitive interview while on task, with subsequent thematic qualitative analysis. Member checks included the presentation of findings to the interviewed physicians and their faculty peers. The Assessment and Plan section was most important and usually reviewed first. The History of the Present Illness section could provide supporting information, especially if in narrative form. Physicians expressed frustration with the Review of Systems section, lamenting that the forces driving n...
Journal of Biomedical Informatics, 2005
Despite benefits associated with the use of electronic health records (EHRs), one major barrier to adoption is the concern that EHRs may take longer for physicians to use than paper-based systems. To address this issue, we performed a time-motion study in five primary care clinics. Twenty physicians were observed and specific activities were timed during a clinic session before and after EHR implementation. Surveys evaluated physiciansÕ perceptions regarding the EHR. Post-implementation, the adjusted mean overall time spent per patient during clinic sessions decreased by 0.5 min (p = 0.86; 95% confidence interval [À5.05, 6.04]) from a preintervention adjusted average of 27.55 min (SE = 2.1) to a post-intervention adjusted average of 27.05 min (SE = 1.6). A majority of survey respondents believed EHR use results in quality improvement, yet only 29% reported that EHR documentation takes the same amount of time or less compared to the paper-based system. While the EHR did not require more time for physicians during a clinic session, further studies should assess the EHRÕs potential impact on non-clinic time.
Use of Electronic Health Record Documentation by Healthcare Workers in an Acute Care Hospital System
Journal of Healthcare Management, 2014
Acute care clinicians spend significant time documenting patient care information in electronic health records (EHRs). The documentation is required for many reasons, the most important being to ensure continuity of care. This study examined what information is used by clinicians, how this information is used for patient care, and the amount of time clinicians perceive they review and document information in the EHR. A survey administered at a large, multisite healthcare system was used to gather this information. Findings show that diagnostic results and physician documents are viewed more often than documentation by nurses and ancillary caregivers. Most clinicians use the information in the EHR to understand the patient's overall condition, make clinical decisions, and communicate with other caregivers. The majority of respondents reported they spend 1 to 2 hours per day reviewing information and 2 to 4 hours documenting in the EHR. Bedside nurses spend 4 hours per day documenting, with much of this time spent completing detailed forms seldom viewed by others. Various flow sheets and forms within the EHR are rarely viewed. Organizations should provide ongoing education and awareness training for hospital clinical staff on available forms and best practices for effective and efficient documentation. New forms and input fields should be added sparingly and in collaboration with informatics staff and clinical team members to determine the most useful information when developing documentation systems.
The electronic elephant in the room: Physicians and the electronic health record
JAMIA Open
Objectives Determine the specific aspects of health information and communications technologies (HICT), including electronic health records (EHRs), most associated with physician burnout, and identify effective coping strategies. Materials and methods We performed a qualitative analysis of transcripts from 2 focus groups and a burnout assessment of ambulatory physicians—each at 3 different health care institutions with 3 different EHRs. Results Of the 41 clinicians, 71% were women, 98% were physicians, and 73% worked in primary care for an average of 11 years. Only 22% indicated sufficient time for documentation. Fifty-six percent noted “a great deal of stress” because of their job. Forty-two percent reported “poor” or “marginal” control over workload. Even though 90% reported EHR proficiency, 56% indicated EHR time at home was “excessive” or “moderately high.” Focus group themes included HICT “successes” where all patients’ information is accessible from multiple locations. HICT “s...
Journal of General Internal Medicine, 2019
BACKGROUND: Physician-to-physician variation in electronic health record (EHR) documentation not driven by patients' clinical status could be harmful. OBJECTIVE: Measure variation in completion of common clinical documentation domains. Identify perceived causes and effects of variation and strategies to mitigate negative effects. DESIGN: Sequential, explanatory, mixed methods using log data from a commercial EHR vendor and semistructured interviews with outpatient primary care practices. PARTICIPANTS: Quantitative: 170,332 encounters led by 809 physicians in 237 practices. Qualitative: 40 interviewees in 10 practices. MAIN MEASURES: Interquartile range (IQR) of the proportion of encounters in which a physician completed documentation, for each documentation category. Multilevel linear regression measured the proportion of variation at the physician level. KEY RESULTS: Five clinical documentation categories had substantial and statistically significant (p < 0.001) variation at the physician level after accounting for state, organization, and practice levels: (1) discussing results (IQR = 50.8%, proportion of variation explained by physician level = 78.1%); (2) assessment and diagnosis (IQR = 60.4%, physician-level variation = 76.0%); (3) problem list (IQR = 73.1%, physician-level variation = 70.1%); (4) review of systems (IQR = 62.3%, physician-level variation = 67.7%); and (5) social history (IQR = 53.3%, physicianlevel variation = 62.2%). Drivers of variation from interviews included user preferences and EHR designs with multiple places to record similar information. Variation was perceived to create documentation inefficiencies and risk patient harm due to missed or misinterpreted information. Mitigation strategies included targeted user training during EHR implementation and practice meetings focused on documentation standardization. CONCLUSIONS: Physician-to-physician variation in EHR documentation impedes effective and safe use of EHRs, but there are potential strategies to mitigate negative consequences.
Analyses of electronic health records utilization in a large community hospital
PLOS ONE, 2020
Introduction The Electronic Health Record (EHR) has become an integral component of healthcare delivery. Survey based studies have estimated that physicians spend 4-6 hours of their workday devoted to EHR. Our study was designed to use computer software to objectively obtain time spent on EHR. Methods We recorded EHR time for 248 physiciansover 2 time intervals. EHR active use was defined as more than 15 keystrokes, or 3 mouse clicks, or 1700 "mouse miles" per minute. We recorded total time and % of work hours spent on EHR, and differences in those based on seniority. Physicians reported duty hours using a standardized toolkit. Results Physicians spent 3.8 (±2) hours on EHR daily, which accounted for 37% (±17%), 41% (±14%), and 45% (±12%) of their day for all clinicians, residents, and interns, respectively. With the progression of training, there was a reduction in EHR time (all p values <0.01). During the first academic quarter, clinicians spent 38% (± 8%) of time on chart review, 17% (± 7%) on orders, 28% (±11%) on documentation (i.e. writing notes) and 17% (±7%) on other activities (i.e. physician hand-off and medication reconciliation). This pattern remained unchanged during the fourth quarter. Conclusions Physicians spend close to 40% of their work day on EHR, with interns spending the most time. There is a significant reduction in time spent on EHR with training and greater experience, although the overall amount of time spent on EHR remained high.
Interventions to increase physician efficiency and comfort with an electronic health record system
Methods of information in medicine, 2015
To determine comfort when using the Electronic Health Record (EHR) and increase in documentation efficiency after an educational intervention for physicians to improve their transition to a new EHR. This study was a single-center randomized, parallel, non-blinded controlled trial of real-time, focused educational interventions by physician peers in addition to usual training in the intervention arm compared with usual training in the control arm. Participants were 44 internal medicine physicians and residents stratified to groups using a survey of comfort with electronic media during rollout of a system-wide EHR and order entry system. Outcomes were median time to complete a progress note, notes completed after shift, and comfort with EHR at 20 and 40 shifts. In the intervention group, 73 education sessions averaging 14.4 (SD: 7.7) minutes were completed with intervention group participants, who received an average of 3.47 (SD: 2.1) interventions. Intervention group participants dec...
Electronic Health Records in Specialty Care: A Time-Motion Study
Journal of the American Medical Informatics Association, 2007
Electronic health records (EHRs) have great potential to improve safety, quality, and efficiency in medicine. However, adoption has been slow, and a key concern has been that clinicians will require more time to complete their work using EHRs. Most previous studies addressing this issue have been done in primary care.