The Time Needed for Clinical Documentation versus Direct Patient Care A Work-sampling Analysis of Physicians Activities
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1 84 Schattauer 2009 Original Articles The Time Needed for Clinical Documentation versus Direct Patient Care A Work-sampling Analysis of Physicians Activities E. Ammenwerth; H.-P. Spötl Institute for Health Information Systems, UMIT University for Health Sciences, Medical Informatics, and Technology Tyrol, Hall in Tyrol, Austria Keywords Documentation, time and motion studies, workload, physicians, medical record systems Summary Objectives: Health care professionals seem to be confronted with an increasing need for high-quality, timely, patient-oriented documentation. However, a steady increase in documentation tasks has been shown to be associated with increased time pressure and low physician job satisfaction. Our objective was to examine the time physicians spend on clinical and administrative documentation tasks. We analyzed the time needed for clinical and administrative documentation, and compared it to other tasks, such as direct patient care. Methods: During a 2-month period (December 2006 to January 2007) a trained investigator completed 40 hours of 2-minute work-sampling analysis from eight participat- Correspondence to: Elske Ammenwerth Institute for Health Information Systems UMIT University for Health Sciences, Medical Informatics, and Technology Tyrol Eduard Wallnöfer Zentrum Hall in Tyrol Austria [email protected] Introduction Health care is increasingly influenced by the use of modern information technologies (IT) [1]. IT systems are introduced to, among Methods Inf Med 1/2009 ing physicians on two internal medicine wards of a 200-bed hospital in Austria. A 37-item classifica tion system was applied to categorize tasks into five categories (direct patient care, communication, clinical documentation, administrative documentation, other). Results: From the 5555 observation points, physicians spent 26.6% of their daily working time for documentation tasks, 27.5% for direct patient care, 36.2% for communication tasks, and 9.7% for other tasks. The documentation that is typically seen as administrative takes only approx. 16% of the total documentation time. Conclusions: Nearly as much time is being spent for documentation as is spent on direct patient care. Computer-based tools and, in some areas, documentation assistants may help to reduce the clinical and administrative documentation efforts. Methods Inf Med 2009; 48: doi: /ME0569 received: May 3, 2008 accepted: August 15, 2008 prepublished: other things, increase the quality and efficiency of patient care, and to support health care professionals in their daily tasks. Modern health care is characterized by the distribution of tasks between professional groups (physicians, nurses, etc.), clinical areas (radiology, surgery, etc.), and health care organi - zations (primary care, hospitals, nursing homes, etc.), producing a high demand for the documentation and communication of patient-related data. This is aggravated by rising economic pressure, decreasing lengths of stay [2], and legal regulations all requiring additional documentation under great time pressure. Overall, health care professionals seem to be confronted with an increasing need for high-quality, timely, patientoriented documentation. An increase in administrative tasks has been shown to be associated with increasing time pressure and low physician job satis - faction [3], whereas adequate time for phy - sician-patient interaction seems to be associated with higher physician satisfaction [4]. Furthermore, in Austria, this rising need for documentation is criticized by clinicians and regarded as a danger for the quality of patient care. The Austrian Medical Association states that clinicians spend too much time at the computer, and that the administrative and documentation tasks ( paper chaos ) are taking too much time away from patient care [5]. A recent survey of 2000 Austrian hospital physicians showed decreasing job satisfaction compared to earlier years, with 82% of the physicians stating that they feel stressed partly or heavily due to administration and documentation tasks [6] this representing the category with the highest stress level, higher than, for example, stress from a high personal workload or from night shifts. In this survey, 53% of the physicians stated that, in recent years, work has become more unpleasant, with increasing documentation and administration efforts being the frequently mentioned reasons (52%) for this feeling [6].
2 E. Ammenwerth; H.-P. Spötl: The Time Needed for Clinical Documentation versus Direct Patient Care 85 Researchers, therefore, have attempted to quantify the actual time needed for documentation, especially compared to the time available for direct patient care. For example, in an outpatient oncology clinic, Fontaine et al. found that U.S. physicians spend 29% of their time entering and retrieving information from paper-based medical records, and 43% on direct patient care [7]. In another U.S. study, Gottschalk et al. found that family physicians spend 55% of their time with faceto-face patient care, while other activities primarily involved reviewing medical records, writing notes, and writing prescriptions [8]. For Austria, the Austrian Medical Association estimates that physicians in hospitals spend no more than 63% of their time for direct patient care, without providing the source of these data [5]. The electronic patient record (EPR) and other more specialized computer-based documentation systems promise to support documentation and to reduce documentation efforts. Several evaluation studies have investigated the relationship between introduction of an EPR system and time efficiency. In a recent review, Poissant et al. [9] analyzed seven studies evaluating the effects of an EPR on the time efficiency of phy sicians. Four of those studies reported an increase in the documentation time (by 11-41%), whereas three studies reported a reduction (by 13 46%). Poissant et al. [9] found comparable varying results when analyzing studies on the time efficiency of nurses. Reasons for the observed differences among the reviewed studies may comprise differences in the amount of documented information, in hardware equipment (for example mobile tools), clinical workflow, and usability and quality of the IT systems in the evaluated settings [7, 9]. An increase in workload for physicians can lead to low user satisfaction and even user boycott [10]. Overall, a rising demand for clinical and administrative documentation may lead to a decrease in the direct time available for patient care and reduced job satisfaction for physicians. This problem is currently being actively discussed in Austria. However, there seems to be no objective data on the overall time for documentation compared to the overall time for patient care. Objectives of this Paper The objectives of this paper were, therefore, to objectively measure the time physicians spend on clinical and administrative documentation tasks, and to compare it with the time needed for other activities. Methods The traditional methods for time measurement comprise either the subjective estimation by the actors themselves in a survey, or the objective measurement by a trained observer. The second method is typically preferred, as the first one only provides an imprecise, and potentially biased, measure of ac - tivity [11]. For objective time measurements, the two most widely-used approaches are time-motion studies, as introduced by F. W. Tayler (in the 1880s) [12], and work sampling, as introduced by L. H. C. Tippett (in the 1930s) [13]. In time-motion studies, trained observers measure the duration of activities by documenting their beginning and end, using a predefined classification of activities. This method has been applied, for example, to measure the impact of an EPR system on the time use of oncologists [14], or to analyze the time needed after the introduction of computer-based physician order entry [15]. In a work-sampling analysis, a trained observer documents which activity is just being executed at predefined (for example, every five minutes) or randomly selected moments in time, also by using a predefined classification of activities. By counting the number of observed activities in each category, the overall distribution and thus the duration of each task can be estimated. The larger the number of observations, the more precise this estimation can be. Work sampling was used, for example, to study the work distribution of physicians in a general medical service unit [16]. The most important advantage of work sampling is that the data for several clinicians can be obtained by only one observer, which makes it rather efficient compared to continuous time-motion studies where, typically, one observer shadows one clinician [17]. In addition, work sampling minimizes the risk that clinicians behavior will be affected by being observed permanently [7]. The disadvantage is that work sampling just provides an estimate of the real-time distribution [18]. In addition, work sampling is only feasible when the clinicians remain in a defined area, where they can easily be located by the observer. Both time-motion studies as well as work sampling have been conducted in clinical areas for many years [19]. In the 23 studies reviewed by Poissant et al., 58% used time motion, 33% work sampling, and 8% a selfreport survey approach [9]. For our present study, we selected work sampling, as it allows for only one observer documenting the activities of several clinicians. We followed the steps of work sampling as described by Sittig [20]: First, the identification of working categories; then, the conduction of a pilot study for a sample size calculation; finally, the conduction and analysis of the main study. Our analysis was conducted at a 200-bed hospital in Tyrol between November 2006 and January The study was conducted in two wards of the inpatient area of the department of internal medicine. Both wards admit around 520 patients each year. The mean patient length of stay in this department is around 18 days, with mostly postsurgical patients treated. All of the eight physicians (one doctor-in-training, four resident physicians, three senior physicians) working in the observed wards during the study period agreed to participate and were included in the study. This hospital is equipped with a clinical information system (Cerner Millenium, [21]) that supports several clinical activities, such as order entry and result reporting for lab and x-ray, report writing, and patientrelated scheduling. A paper-based record is still maintained for the documentation of clinical admissions, vital signs, prescriptions, ongoing status documentation, and nursing care planning. We developed the initial classification of activities that are needed for the work-sampling analysis, based on an earlier work of Blum et al. who investigated the documentation efforts in German hospitals [22]. Castelein later adapted Blum s classification for an Austrian hospitals setting [23]. We used his classification as the basis for our study. We also reviewed the international literature to check the completeness of our classification system. Schattauer 2009 Methods Inf Med 1/2009
3 86 E. Ammenwerth; H.-P. Spötl: The Time Needed for Clinical Documentation versus Direct Patient Care Table 1 Distribution of the most important activities of the observed physicians for the overall study period. Mean and standard deviation of the percentage of the overall working time is indicated. Only those categories higher than 1.5% (for categories I to III) resp. higher than 0.5% (for categories IV and V) are indicated. For a complete list and definition of the categories, see Appendix. Category Mean (Standard Deviation) I. Direct patient care 027.5% (10.5%) Communication with patients % (5.5%) Other patient care % (6.0%) Medical activities % (5.3%) Read in patient record % (3.2%) Waiting for patient % (0.1%) II. Communication 036.2% (10.5%) Personal communication with physicians % (6.8%) Regular meetings % (8.4%) Phone calls % (3.2%) Personal communication with non-physicians % (2.5%) Other communication % (2.9%) III. Clinical documentation 022.4% (10.7%) Writing of a preliminary discharge letter % (3.9%) Ongoing clinical documentation % (3.0%) Writing of a final discharge letter % (2.8%) Documentation of an initial examination % (3.1%) Prepare documentation forms % (2.6%) Documentation of findings % (2.6%) Prepare forms for order entry % (1.1%) Documentation of medication % (1.4%) IV. Administrative documentation 004.2% (4.6%) Generation of duty rosters % (4.6%) Writing of discharge documents % (1.8%) Completing of transportation orders % (0.9%) Other administrative documentation % (0.9%) V. Other activities 009.7% (7.4%) Walking times % (1.4%) Breaks % (3.6%) Other % (7.1%) Sum 100% Fig. 1 Distribution of the activities of the observed physicians for the overall study period. The details are shown in Table 1. The resulting list of activities was refined by a pilot study in the hospital, which was conducted in November This pilot study comprised both direct observations of clinical workflow as well as interviews with the physicians. The interviews that were conducted with two physicians were used to discuss face validity of our instrument, and to check the definitions of each category. The direct observations within the pilot study lasted eight hours using a one-minute work sampling interval. The observations were used to train the observer, to test the prepared documentation form and to assess the completeness and clarity of each category. Overall, only slight modifications mostly in wording of individual categories were done as a result of the pilot study. The pilot study was conducted by that observer who also conducted the final study. No further formal reliability testing of the instrument was conducted. The findings from the pilot observations were used to calculate the needed number of observations, using the formula provided by Sittig (n = p (1 p)/σ 2, with n = total number of observations, p = expected percentage of time required by the most important category of study (estimated from pilot), and σ standard deviation of percentage) [20]. Based on this formula, we calculated n = 2244 for our study. Estimating a planned duration of observation of 5 days à 8 hours, this n would be reached by 449 observations per day resp. 28 observations per hour. This means one observation every two minutes. The final classification system comprised 37 categories, 21 describing documentation activities, with 11 related to clinical documentation and 10 to administrative documentation. Appendix 1 shows the classification system. The main work-sampling study was conducted in December 2006 and January 2007, and comprised 40 hours of observations during the day shifts, with each day of the week covered equally. Based on the results from the pilot study, the chosen sampling period was two minutes. The observer (HS) used a programmable watch that beeped every two minutes. Typically, three to four physicians were observed in parallel by the observer. A typical observation session lasted eight hours. If necessary, the observer looked into the patients rooms in case one of the physicians was there at the moment of observation, to Methods Inf Med 1/2009 Schattauer 2009
4 E. Ammenwerth; H.-P. Spötl: The Time Needed for Clinical Documentation versus Direct Patient Care 87 capture patient-related activities. Overall, 30 so-called physician-days were observed (a physician-day reflecting a full-day observation of one physician). The observation form that we used documented the following information for each observation point: the actor (name of phy - sician); the performed activity (see Appendix); and the tool used (computer-based, paper-based, or other). Overall, 5500 observations were documented. MS Excel 2003 was used to analyze the respective data. First, for each individual physician, the number of activities documented in each category was translated into an individual percentage, using the overall number of documented activities of this physician as denominator. Then, based on those numbers, the mean and standard deviation of the categories of all physicians were calculated. Results Table 1 and Figure 1 show the overall results of the work-sampling study. 27.5% of all activities were related to direct patient care, 36.2% to communication activities, 26.6% to documentation activities, and 9.7% to other activities. The clinical documentation activities accounted for 22.4%. Documentation activities typically defined as administrative (i.e. coding for billing purposes, documentation for quality management) accounted for 4.2% overall, that is 15.7% of all documentation time. We also documented which tools were used for the documentation activities (categories III and IV). Here, we found that for 49.3 ± 19.7% of the documentation tasks, paper-based tools (for example paper-based patient record, paper-based forms for order entry or duty rostering) were used. Computer-based tools (for example electronic patient record, office, and statistic tools) were used for 49.3 ± 19.7% of the documentation tasks. We also analyzed the activity distribution for each individual physician to calculate the individual daily and weekly documentation effort. The lowest daily documentation effort of an individual physician at a given day was 8.5% (for a resident), the highest 55.5% (for a senior physician). When analyzing activity distribution over one week, the lowest weekly documentation effort of an individual phy - sician was 21.6% of the overall working time, and the highest was 36.2%. In 12 of 30 observed individual physician-days, the daily documentation load for a physician was near 30% or above. Discussion Meaning and Generalizability of the Results Our most interesting finding was the substantial proportion of 27% of the working time dedicated to documentation, comprising both clinical and administrative tasks. We conducted our work-sampling analysis during the main working hours, i.e. 8 a.m. to 4.30 p.m. Physicians later stated that they often work overtime (i.e. after 4.30 p.m.), to finalize documentation tasks. If we estimate that this overtime was around 40 minutes per physician per day during the study period (as estimated from the administrative working time documentation of the department), the overall daily documentation workload would increase from 26.6% to 32.4%. Before the study, the hospital management had stated that the documentation should not exceed 30% of the working time. While the mean (without overtime) is just below this threshold, each of the eight observed physicians spend at least one day (from five) with more than 30% of their time needed for documentation activities. In a survey-based self-assessment study of 1010 German physicians conducted by Blum et al., they found a documentation effort of 40.6% [22]. The Austrian Medical Association has stated that physicians in hospitals spend up to 63% of their time on documentation [5]. Those subjective estimations may be biased [24] a rising dissatisfaction of physicians in Germany and Austria with what they call bureaucracy may have led to those rather high subjective estimates. Our objective measurements confirm that the documentation efforts in the inpatient area are quite high with 27%. However, only one-sixth of this time is clearly devoted to administrative documentation. Studies that analyzed the distribution of physicians activities in a clinical setting comparable to our study are rare. For example, none of the studies reviewed by Poissant et al. [9] were comparable to our study. Most studies focus either on other professional groups (for example nurses), on outpatient areas, on specialized inpatient clinical settings (such as intensive care or emergency care units), or only on certain activities (such as order entry). For example, the study of Gott - schalk et al. [8] analyzing activities of general physicians found that they spent around 20% of their time documenting this lower number may reflect, however, the lower documentation requirements in outpatient care. Oddone et al. [24] analyzed the work distribution of 36 phy sicians at a university medical center and found 43.6% for patient evaluation (comprising direct patient care and discussing patient care), 18.9% for educational ac tivities, and 13.9% for administration (for example charting, dictating, label/forms). Here it is unclear as to whether the activities noted for patient evaluation (such as physical exam, patient history, and ward rounds) may have also included related documentation activities. Educational activities were not relevant in our study, as the hospital is not an academic hospital. Hollings - worth et al. [25] used a time-motion study to analyze the time distribution in an emergency unit. They found that the observed ten faculty physicians spent 32% of their time on direct patient care, 22% on communication, and around 18.5% on charting and other paperwork. Mamlin et al. [19] conducted a combined time-and-motion and work-sampling study in a general medicine clinic and found that physicians spent 37.8% of their time charting, this reflecting the purely paperbased documentation at the time of the study. A recent study by Westbrook et al. [26] is better comparable to our study; they used a time-motion approach to quantify work activities of doctors in a 400-bed teaching hospital where also a mix of computer-based and paper-based tools was used. They found that 33% of the time was spent on professional communication, 32% on (direct and indirect) patient care, and 12% for documentation (excluding medication documentation). A high documentation effort is often not well accepted, and physicians argue that documentation takes away time from direct patient care, and thus endangering the quality of care. Especially documentation tasks that are seen as not directly related to patient care Schattauer 2009 Methods Inf Med 1/2009
5 88 E. Ammenwerth; H.-P. Spötl: The Time Needed for Clinical Documentation versus Direct Patient Care (such as documentation for quality management or for legal reasons) are often not well accepted. In our study, we found 4.2% of the working time (i.e. 15.7% of all the documentation time) is spent exclusively on administrative documenta tion tasks, arguably reflecting a moderate effort. In addition, both clinical and administrative documentation is vital to provide good-quality, affordable and coordinated care to patients [8], especially in a health care setting that is characterized by a large number of different professional groups and institutions and by rising economic pres - sure. Therefore, the question should not just be how to reduce the documentation efforts, but rather how to plan and organize it to best support patient care [27]. Computer-based documentation systems may be helpful in streamlining documentation tasks, integrating data, and avoiding unnecessary double data entry. In our hospital, already around half of the documentation tasks are supported by computer-based tools, and this percentage is expected to increase in the coming years. For example, the documentation of the initial examination and of the medical history is still performed on paperbased forms. By using bedside terminals or mobile tools, such as laptops or PDAs, documentation may be facilitated and might increase the data quality [28, 29]. In addition, the use of mobile tools could also help to reduce the time needed for the paper-based documentation of medication and other clinical notes as well as for general order entry, which are at the moment performed in the paper-based records. Using a CPOE system (computerized physician order entry) may even help to increase patient safety by offering checks and alerts [30, 31]. Altogether, we estimate that another approx. 25% of the documentation time could be supported by computer-based point-of-care tools. In addition, workflow reorganization may help to reduce any unnecessary documentation tasks. For example, the writing of discharge letters is at the moment a rather complicated process, with a physician dictating both a preliminary and later a final letter, and the final letter is written by secretaries with a long paper-based correction process involving the author as well as the senior and head physician. Overall, discharge letter production (both preliminary and final ones) sums to 8% of the daily working time of a physician (this is comparable to the 5% found by Westbrook et al. [26]), which means approx. 30% of the overall documentation time. Better computer-based support (including speech recognition and computer-supported correction workflow) may help to reduce documentation efforts, and reduce the turn - around time of discharge letters. In Austria, physicians organizations are calling for the introduction of so-called documentation assistants [5], who would take over certain documentation tasks in order to reduce the workload of the phy - sicians. However, if we look at the documentation activities, only a few of them (such as coding of diagnosis and services, completion of transportation orders, documentation for quality management, preparation of documentation forms) seem to be appropriate for delegation to documentation assistants. Other major documentation activities such as discharge letter writing, ongoing clinical documentation, documentation of initial examinations, and docu mentation of medication, could not be delegated to nonmedical professionals. In our opinion, it is, therefore, questionable as to whether documentation assistants can help to reduce documentation tasks of physicians. Earlier studies showed that a medical assistant can help support physicians in certain areas of general information logistics, such as looking for records or test results [32]. However, these were results from mostly settings using paper-based records and may not be reproducible in settings with already high levels of computer support. Strengths and Weaknesses of the Study Using work sampling it was possible for us to observe four physicians at the same time because physicians mostly stayed in the defined area of a ward. The observer only had to take a short look at what a physician was doing at a certain moment, thereby minimizing the danger of a Hawthorne effect and avoiding any disturbance of the clinical workflow. We developed a classification system with 37 activity categories, 21 of which were related to documentation activities, as this was the major focus of our study. Our classification was based on the work of Blum [22] who used 29 categories. Other authors have used much fewer detailed categories for documentation. For example, Bürkle et al. [33] used 23 categories to document nursing activities, only one of which was clearly related to documentation activities. Westbrook et al. [26] used 22 categories, two of them devoted to documentation. We decided to execute the work-sampling observations at fixed intervals. Sittig [20] recommends fixed intervals for observation of random work activities such as the hospitalrelated activities in our study. For fixed observations, Nickman [11] recommends a minimum of eight observations per hour. With 30 observations per hour, we were well over this limit. The 2-minute interval observations placed a high workload on the observer, but guaranteed that the ac tivities of a short duration were captured, which increased the precision of our measurements. Instead of using a paper-based work-sampling form, in order to reduce the time needed for data analysis as well as to eliminate transcription errors, the use of a PDA for activity docu - mentation might have been helpful, as, for example, proposed by [34] and used in studies by [11, 26]. Our results may be subject to certain errors. For example, a misinterpretation of the work category definitions is one possible source of error. We attempted to limit the impact of this threat by having just one welltrained observer, by defining each category, and by conducting a pilot study to validate the working categories. Overall, each of our physicians was observed over approximately four full days. We cannot be certain that the observed days were representative, even when we attempted to guarantee representative days by distributing the observation days equally over the whole week and over two months. On all the observation days, the bed occupancy was high, which seems to be rep - resentative for the overall situation of the observed department. The present study was conducted in a department of internal medicine, character ized by a mean length of stay of approx. 18 days, and with mostly post-surgical patients treated. This duration of stay is much higher than the overall mean duration of stay in Austrian hospitals, which was 5.7 days in 2006 [2]. Our results may, therefore, not be generalizable to other inpatient settings in Austria. Methods Inf Med 1/2009 Schattauer 2009
6 E. Ammenwerth; H.-P. Spötl: The Time Needed for Clinical Documentation versus Direct Patient Care 89 Conclusion We found that a substantial proportion of 26.6% of working time was dedicated to documentation in a department of internal medicine, 22.4% of which was for clinical documentation, and 4.2% for administrative documentation. The time for direct patient care was 27.5% and, therefore, was only slightly higher than the time spent for documentation. The further introduction of computer-based tools and the reorganization of the working processes (such as discharge letter writing) may help to reduce the documentation efforts that physicians often state are excessively high. Further research is needed to see whether similar results can be found in other inpatient settings with a shorter mean duration of stay. In addition, evaluation studies may help to show how documentation efforts will develop after the introduction of computer-based tools and/or the employment of documentation assistants. Acknowledgments We thank the management and staff of the analysed Tyrolean hospital for their co-operation and support. References 1. Haux R, Ammenwerth E, Herzog W, Knaup P. Health Care in the Information Society: A Prognosis for the Year Int J Med Inform 2002; 66 (1 3): BMGF. Krankenanstalten in Zahlen. 2006; Available from: Last accessed: August 1, Mechanic D. Physician discontent: challenges and opportunities. JAMA 2003; 290 (7): Probst JC, Greenhouse DL, Selassie AW. Patient and physician satisfaction with an outpatient care visit. J Fam Pract 1997; 45 (5): Brettenthaler R, Mayer H. Stopp der Zettel - wirtschaft Bürokratie macht krank [stop paper chaos bureaucracy makes sick] Available from: html. Last accessed: August 1, Mayer H. Spitalsärztinnen in Österreich Ergebnis der Befragung für die Bundeskurie Angestellte Ärzte der österreichischen Ärzte - kammer. Österreichische Ärztekammer; Last accessed: August 1, Fontaine BR, Speedie S, Abelson D, Wold C. A worksampling tool to measure the effect of electronic medical record implementation on health care workers. J Ambul Care Manage 2000; 23 (1): Gottschalk A, Flocke SA. Time spent in face-to-face patient care and work outside the exami nation room. Ann Fam Med 2005; 3 (6): Poissant L, Pereira J, Tamblyn R, Kawasumi Y. The impact of electronic health records on time efficiency of physicians and nurses: a systematic review. J Am Med Inform Assoc 2005; 12 (5): Ornstein C. California; Hospital Heeds Doctors, Suspends Use of Software: Cedars-Sinai physi cians entered prescriptions and other orders in it, but called it unsafe. In: The Los Angeles Times, Jan 22; Nickman NA, Guerrero RM, Bair JN. Self-reported work-sampling methods for evaluating pharmaceutical services. Am J Hosp Pharm 1990; 47 (7): Barnes R. Motion and Time Study Design and Measurement of Work. 6th ed. New York: John Wiley and Sons; Tippett L. Statistical Methods in Textile Research. Uses of the Binomial and Poissant Distributions. J Textile Inst Trans 1935 (26): Pizziferri L, Kittler AF, Volk LA, Shulman LN, Kessler J, Carlson G, et al. Impact of an Electronic Health Record on oncologists clinic time. AMIA Annu Symp Proc p Overhage JM, Perkins S, Tierney WM, McDonald CJ. Controlled trial of direct physician order entry: effects on physicians time utilization in ambulatory primary care internal medicine practices. J Am Med Inform Assoc 2001; 8 (4): Guarisco S, Oddone E, Simel D. Time analysis of a general medicine service: results from a random work sampling study. J Gen Intern Med 1994; 9 (5): Wirth P, Kahn L, Perkoff GT. Comparability of two methods of time and motion study used in a clinical setting: work sampling and continuous observation. Med Care 1977; 15 (11): Finkler SA, Knickman JR, Hendrickson G, Lipkin M, Jr, Thompson WG. A comparison of work-sampling and time-and-motion techniques for studies in health services research. Health Serv Res 1993; 28 (5): Mamlin JJ, Baker DH. Combined time-motion and work sampling study in a general medicine clinic. Med Care 1973; 11 (5): Sittig DF. Work Sampling: A Statistical Approach to Evaluation of the Effect of Computers on Work Patterns in The Healthcare Industry. Methods Inf Med 1993; 32 (2): Lechleitner G, Pfeiffer K-P, Wilhelmy I, Ball M. Cerner Millenium: The Innsbruck Experience. Methods Inf Med 2003; 42 (1): Blum K, Müller U. Dokumentationsaufwand im Ärztlichen Dienst der Krankenhäuser Bestands - aufnahme und Verbesserungsvorschläge Untersuchung im Auftrag der Deutschen Kranken - hausgesellschaft [Clinical documentation effort in hospitals]. Düsseldorf: Wissenschaft und Praxis der Krankenhausökonomie (Band 11). Deutsche Krankenhaus Verlagsgesellschaft. ISBN ; php?cat=c23_wissenschaft-und-praxis-der- Krankenhausoekonomie.html. Last accessed: August 1, Castelein J. Analyse des Dokumentationsaufwands im ärztlichen Bereich und seine Auswirkung auf die Arbeitszeitbelastung von Krankenhaus-Ärzten am Beispiel des Landeskrankenhauses Innsbruck (Universitätskliniken). PhD thesis, UMIT University for Health Sciences, Medical Informatics and Technology, Hall in Tyrol, Austria. In preparation; Oddone E, Guarisco S, Simel D. Comparison of housestaff s estimates of their workday activities with results of a random work-sampling study. Acad Med 1993; 68 (11): Hollingsworth JC, Chisholm CD, Giles BK, Cordell WH, Nelson DR. How do physicians and nurses spend their time in the emergency department? Ann Emerg Med 1998; 31 (1): Westbrook JI, Ampt A, Kearney L, Rob MI. All in a day s work: an observational study to quantify how and with whom doctors on hospital wards spend their time. Med J Aust 2008; 188 (9): Leiner F, Haux R. Systematic Planning of Clinical Documentation. Methods Inf Med 1996; 35 (1): Lu YC, Xiao Y, Sears A, Jacko JA. A review and a framework of handheld computer adoption in healthcare. Int J Med Inform 2005; 74 (5): Wu RC, Straus SE. Evidence for handheld electronic medical records in improving care: a systematic review. BMC Med Inform Decis Mak 2006; 6: Kaushal R, Shojania KG, Bates DW. Effects of computerized physician order entry and clinical decision support systems on medication safety: a systematic review. Arch Intern Med 2003; 163 (12): Rothschild J. Computerized physician order entry in the critical care and general inpatient setting: a narrative review. J Crit Care 2004; 19 (4): Wipf JE, Fihn SD, Callahan CM, Phillips CM. How residents spend their time in clinic and the effects of clerical support. J Gen Intern Med 1994; 9 (12): Bürkle T, Kuch R, Prokosch HU, Dudeck J. Stepwise Evaluation of Information Systems in an University Hospital. Methods Inf Med 1999; 38 (1): Westbrook JI, Ampt A, Williamson M, Nguyen K, Kearney L. Methods for measuring the impact of health information technologies on clinicans patterns of works and communication. In: Kuhn K, Warren J, Leong T-Y, editors. Medinfo 2007 Proceedings of the 12th World Congress on Health (Medical) Informatics, Brisbane, August 20 24, Amsterdam: IOS Press; pp Schattauer 2009 Methods Inf Med 1/2009
7 90 E. Ammenwerth; H.-P. Spötl: The Time Needed for Clinical Documentation versus Direct Patient Care Appendix Classification System Used for Analysis of Physician s Activities No. Name of Category Definition of Category I Direct patient care I.1 Medical activities Any diagnostic and therapeutic activity of the physician, related to the care of a patient I.2 Communication with patients Direct conversation between the physician and patient I.3 Waiting for a patient Physician is waiting for the next patient to arrive I.4 Read in patient record Get information on the patient from the patient record I.5 Other direct patient care Other activities of direct patient care II Communication II.1 Personal communication with physicians Direct conversation with other physicians II.2 Personal communication with non-physicians Direct conversation with health care professionals other than physicians (for example, nurses, co-therapists) II.3 Personal communication with relatives Direct conversation with family members of a patient II.4 Phone calls Phone calls with other health care providers (excluding phone calls for patient-related scheduling) II.5 Communication for scheduling Organization (mostly by phone calls) of patient-related appointments (such as diagnostic or therapeutic examinations, next inpatient admission) II.6 Electronic communication Use of , Intranet, and Internet II.7 Regular meetings Any meetings that take place at a predefined time II.8 III III.1 III.2 III.3 III.4 III.5 III.6 III.7 III.8 III.9 III 10 III.11 IV IV.1 IV.2 IV.3 IV.4 IV.5 Other communications Clinical documentation Documentation of the initial examination Ongoing clinical documentation Documentation of findings Writing of preliminary discharge letter Writing of final discharge letter Writing of consultation letters Documentation of medication Preparation of documentation forms Preparation of the forms for order entry Writing of prescriptions Other clinical documentation Administrative documentation Coding of the diagnosis and services Completing of transportation orders Writing of doctors certificates Documentation for external quality management Documentation of the working time Any other communication activities Documentation of the initial examination of a patient after his admission to the hospital Any written entries in the patient record, such as clinical notes (for example, during ward rounds) Filing or copying of recent findings (such as lab or x-ray reports) into the patient record Writing of the preliminary discharge letter upon the discharge of the patient from the hospital Writing of the final discharge letter, including the correction process and transport time Writing of a consultation letter for other departments Documentation of the prescribed drugs of a patient and of any changes to prescriptions Prepare weekly documentation forms for a patient (for example, for care planning and care documentation) Order diagnostic or therapeutic procedures using predefined forms Filling-out paper-based prescription forms for a patient that is going to be discharged Any other documentation related to a patient Documentation and coding of the diagnoses and services for accounting and legal reasons Completing of a transportation order form for a patient Writing of any patient-related certificates (for example, inability to work) Documentation of data for any quality reports Personal documentation of the daily hours of work Methods Inf Med 1/2009 Schattauer 2009
8 E. Ammenwerth; H.-P. Spötl: The Time Needed for Clinical Documentation versus Direct Patient Care 91 Appendix Classification System Used for Analysis of Physician s Activities (continued) No. Name of Category Definition of Category IV.6 Generation of departmental statistics Development and update of departmental-oriented statistics related to patient care IV.7 IV.8 IV.9 IV.10 V V.1 V.2 V.3 Generation of duty rosters Writing of discharge documents Writing of requests Other administrative documentation Other activities Walking times Breaks Other Development and update of departmental duty rosters for the clinical staff Finalization of the administrative discharge documents of a patient Prepare patient-oriented applications for example, for rehabilitation, aftercare, nursing care, or further hospitalization Any other administrative documentation Physician walking between rooms, departments, etc. Any breaks Any other activities (for example, private phone calls) Schattauer 2009 Methods Inf Med 1/2009
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