Discharge Summary Information Research Articles

2223 Older patients admitted with a fragility fracture—a review of discharge summary documentation in accordance with HIQA national

Abstract Background Fragility fractures, defined as fractures resulting from low energy trauma (1), are consistent with a diagnosis of osteoporosis. When a patient is discharged from hospital, guidelines recommend principal and additional diagnoses, relevant co-morbidities contributing to primary diagnosis, medications and relevant investigations are recorded (2). Methods This audit reviewed discharge summaries of all patients discharged from a rehabilitation unit over two months, in accordance with the Health Information and Quality Authority’s (HIQA) National Standard for Patient Discharge Summary Information (2). Patients with fragility fractures were identified through medical record review. Principal and additional diagnoses were reviewed, with cause and mechanism of falls considered relevant co-morbidities. Discharge prescriptions for anti-resorptive medications were noted. Dual-energy x-ray absorptiometry (DXA) was recorded as a relevant investigation (3). Results 33 discharge summaries met inclusion criteria. 12 patients were admitted with fragility fractures with a mean age of 81 years (69–90). 83.3% (n = 10) were female. Osteoporosis was mentioned in 50% (n = 6) of discharge summaries of patients with fragility fractures. On review of relevant co-morbidities, likely cause of the fall was documented in 58.3% (n = 7) and mechanism in 75.0% (n = 9). Bone protection was planned in 83.3% (n = 10). Plan for DXA was documented in 8.3% (n = 1). Conclusion This audit demonstrates suboptimal communication between hospital and community teams, despite chronic disease being predominantly managed in the community. In Europe, Ireland has one of the largest disease burdens relating to osteoporosis and the largest increase predicted in the next ten years (4). It is of utmost importance we improve communication to minimise disease burden.

285 ‘To communicate or not, that is not the question!’

Abstract Background Safe patient care necessitates accurate and timely patient communication between acute, community, and primary care services. Given the complexities of care of older adults, including polypharmacy and deprescribing, reliable communication between all services is essential. This has been identified as a requirement prior to discharge. This audit aimed to assess compliance with discharge communication across the Geriatrics Service. Methods This audit was carried out from 10th–17th April 2023. Consecutive patient discharges across Stroke and Acute Geriatrics Services were assessed for data including age, gender, date of admission, date of discharge, discharge summary completion, and date and time of validation of the discharge summary. The Electronic Discharge Summary (EDS) and Inpatient Patient Management Systems (IPMS) systems were used for data collection. Data was analysed descriptively. Standards used were The Integrated Care Guidance: A Practical Guide To Discharge And Transfer From Hospital (HSE), and the National Standard For Patient Discharge Summary Information (HIQA). Results 107 patient records were assessed, median age 72.2 years (IQR 29.1), 48.6% female (n = 52). 91.5% (n = 98) patients had discharge summaries completed, 86.7% (n = 85) of which were validated. When including all validated discharge summaries, the median time to validation was 0.4 hours (IQR 79.43) post discharge. Median time to validation pre-discharge was 1.5 hours (IQR 3.1) and represented 54.2% (n = 58) of patients. Median time to validation post discharge was 21.8 hours (IQR 149.76) and represented 31.7% (n = 27) of patients. Conclusion This audit highlights a high level of compliance with discharge summary completion. Areas for improvement include higher levels of completion prior to discharge, and ensuring that all summaries are validated to allow for printing and distribution. This will help ensure seamless and safe communication between all levels of care of older adults.

A-BBL: A Risk Prediction Model for Patient Readmission based on Electronic Medical Records

With the spread of medical digitization, electronic health record data has been accumulated in large quantities, laying the foundation for intelligent medical changes. ICU data is mined and analyzed to identify the risk of patient readmission in a timely manner, prevent and control the deterioration of patients' conditions, and reduce the burden of patient costs. However, due to the poor quality of medical data, potential information cannot be effectively mined. In view of the above problems, a patient readmission risk prediction model A-BBL is proposed. By extracting and analyzing the patient 's discharge summary information, the readmission risk of discharged patients within 30 days is predicted. The A-BBL model consists of three parts: firstly, BioBert is used to pre-train the medical text data, extract the semantic information of the medical text, and then generate the corresponding word vector. Then, the sequence model BiLSTM is used to capture the context information and model the input sequence. Finally, the self-attention mechanism is used to extract the key information in the input sequence, enhance the vector representation ability of the sequence, thereby improving the performance and accuracy of the model, so as to predict the readmission rate of patients. Based on the MIMIC-III real medical data set, the A-BBL model for patient readmission prediction proposed in this paper is verified. Compared with the baseline model, the accuracy is improved by 7.2 %. This study can help medical staff better understand and pay attention to the progression of critically ill patients, im-prove the survival rate of patients, and reduce the readmission rate of patients.

Is artificial intelligence capable of generating hospital discharge summaries from inpatient records?

Medical professionals have been burdened by clerical work, and artificial intelligence may efficiently support physicians by generating clinical summaries. However, whether hospital discharge summaries can be generated automatically from inpatient records stored in electronic health records remains unclear. Therefore, this study investigated the sources of information in discharge summaries. First, the discharge summaries were automatically split into fine-grained segments, such as those representing medical expressions, using a machine learning model from a previous study. Second, these segments in the discharge summaries that did not originate from inpatient records were filtered out. This was performed by calculating the n-gram overlap between inpatient records and discharge summaries. The final source origin decision was made manually. Finally, to reveal the specific sources (e.g., referral documents, prescriptions, and physician's memory) from which the segments originated, they were manually classified by consulting medical professionals. For further and deeper analysis, this study designed and annotated clinical role labels that represent the subjectivity of the expressions and builds a machine learning model to assign them automatically. The analysis results revealed the following: First, 39% of the information in the discharge summary originated from external sources other than inpatient records. Second, patient's past clinical records constituted 43%, and patient referral documents constituted 18% of the expressions derived from external sources. Third, 11% of the missing information was not derived from any documents. These are possibly derived from physicians' memories or reasoning. According to these results, end-to-end summarization using machine learning is considered infeasible. Machine summarization with an assisted post-editing process is the best fit for this problem domain.

Improving the quality of inpatient discharge summaries.

Discharge summaries (DCS) are vital in facilitating handover to community colleagues. Unfortunately, at Whittington Health, General Practitioners (GPs) found it difficult to identify relevant information in DCS, and use of medical jargon meant patients did not understand details of their admission. With this quality improvement project, the team aimed to improve DCS to enhance patient-centered care. The aim of this quality improvement project (QIP) was to improve the quality of DCS by critiquing the ones produced within our trust and implementing various interventions. Multiple Plan-Do-Study-Act (PDSA) cycles were completed. A multi-disciplinary meeting was conducted to identify the needs of each party in a DCS. A new template was subsequently launched. Teaching was conducted and educational leaflets were disseminated hospital-wide. Quality of written communication was audited quarterly, and evaluated against quality indicators. Problems with DCS were identified via GP and patient feedback, and these became the focus of subsequent PDSA cycles. From March 2019 to February 2020, all the audited categories improved, with an overall improvement from 67% to 92%. We also received positive feedback from GPs. Quality of DCS can be improved with appropriate interventions, leading to improved patient care. A similar PDSA cycle could be utilized elsewhere to achieve similar results.

158 AN AUDIT ON DISCHARGE SUMMARIES IN A MEDICAL GERONTOLOGICAL WARD

Abstract Background Discharge summaries are an integral part of communication within healthcare to ensure safe care across settings. Alterations are documented and relayed between relevant healthcare professionals. This audit evaluates quality of discharge summaries from a medical gerontology ward against the National Standard for Patient Discharge Summary Information (HIQA) Methods A retrospective audit was carried out with data collected from a ward discharge registry over 3-months (February-April 2022) and associated discharge summaries. Results A total of 31 discharges (including death) were identified during the set period, 97% (n=30) of which had completed discharge summaries. Upon assessment against the standard, 100% (n=30) included details vital to patient identification including name, date of birth, gender and address. In addition,100% (n=30) included information on date of admission-discharge, clinical course, relevant investigations, treatments, procedures, discharge medications and details of the doctor completing the discharge summary. The audit identified that 20% (n=6) of summaries stated referral source, which is mandatory according to the standard. 13% (n=4) included dietary interventions and 0% included immunization information (whether as an inpatient or prior). Regarding information on further management, 77% (n=23) had guidance on follow-up hospital care, 27% (n=8) had information about social care actions, 20% had advice, recommendations and future plans documented and in 10% information was documented to be given to patient and carer. Conclusion Compliance with mandatory information including patient details, admission/discharge date, diagnoses, hospital course, and author fully met the standard. However, there was poor compliance with information relevant to continuation of patient care in the community. This is particularly relevant for older patients with multiple co-morbidities and complex care needs. Doctors working on this ward are receiving education regarding the importance of documentation of functional status, social care needs and diet at discharge. In future, mandatory documentation as part of electronic discharge summaries may improve compliance and continuity of care across settings.

Exploring pharmacist involvement in the discharge medicines reconciliation process and information transfer to primary care: an observational study.

Background Medication errors can occur because of incomplete or poorly communicated information at the transition from hospital to community. Following an audit in 2016, a project was undertaken to determine if pharmacists could improve the quality of medication information in discharge summaries by introducing a discharge medication reconciliation process. Pharmacists recorded any changes to the patient's medication in the electronic prescribing system during their inpatient stay and summarised these changes on discharge. Objective To compare medication information in discharge summaries with recognised standards for the clinical structure and content of patient records, and to assess the impact of the pharmacist process on compliance with certain elements of these standards. Setting A 750 bed teaching district general hospital in England. Method A retrospective observational study examining all patient discharge summaries over a 1week period for compliance to national standards. Main outcome measure The main outcome measures were compliance with standards for medication started, stopped or changed in hospital and any differences between extent of recording this information by doctors and pharmacists. Results Data were collected and analysed for 243 patients, of whom 94 (38.7%) attracted a discharge medicines reconciliation process by a pharmacist. Discharge summaries were compliant with basic standards for changed medication in 42% of patients or 51.4% with the input of a pharmacist. This increase of 9.4% was statistically significant (p = 0.0365). At an enhanced level, pharmacists increased compliance from 39.1 to 46.5%, this did not represent a significant increase (p = 0.0989). Conclusion Pharmacists undertaking a discharge medication reconciliation process significantly improves the quality of discharge summaries.

Usability of Electronic Health Record-Generated Discharge Summaries: Heuristic Evaluation.

BackgroundObtaining accurate clinical information about recent acute care visits is extremely important for outpatient providers. However, documents used to communicate this information are often difficult to use. This puts patients at risk of adverse events. Elderly patients who are seen by more providers and have more care transitions are especially vulnerable.ObjectiveThis study aimed to (1) identify the information about elderly patients’ recent acute care visits needed to coordinate their care, (2) use this information to assess discharge summaries, and (3) provide recommendations to help improve the quality of electronic health record (EHR)–generated discharge summaries, thereby increasing patient safety.MethodsA literature review, clinician interviews, and a survey of outpatient providers were used to identify and categorize data needed to coordinate care for recently discharged elderly patients. Based upon those data, 2 guidelines for creating useful discharge summaries were created. The new guidelines, along with 17 previously developed medical documentation usability heuristics, were applied to assess 4 simulated elderly patient discharge summaries.ResultsThe initial research effort yielded a list of 29 items that should always be included in elderly patient discharge summaries and a list of 7 “helpful, but not always necessary” items. Evaluation of 4 deidentified elderly patient discharge summaries revealed that none of the documents contained all 36 necessary items; between 14 and 18 were missing. The documents each had several other issues, and they differed significantly in organization, layout, and formatting.ConclusionsVariations in content and structure of discharge summaries in the United States make them unnecessarily difficult to use. Standardization would benefit both patients, by lowering the risk of care transition–related adverse events, and outpatient providers, by helping reduce frustration that can contribute to burnout. In the short term, acute care providers can help improve the quality of their discharge summaries by working with EHR vendors to follow recommendations based upon this study. Meanwhile, additional human factors work should determine the most effective way to organize and present information in discharge summaries, to facilitate effective standardization.

4Ds: Documenting delirium diagnosis in discharge summary

IntroductionHospital discharge is a significant transitional phase with varying levels of needs and risks to be managed as lapses in communication commonly happen between secondary/tertiary and primary care.ObjectivesOur aim was to look at inclusion of delirium diagnosis in discharge summaries based on standards set by: 1. Health Information and Quality Authority (HIQA) National Standard for Patient Discharge Summary Information 2. NICE Guidelines on Delirium: prevention, diagnosis and management (CG 103)MethodsAll inpatients referred to Liaison Psychiatry from 9thJuly 2019 till 5th January 2020 were included, n = 729. Compared discharge summaries diagnoses to the internal Liaison Psychiatry ICD 10 consensus diagnosis and also HIPE coded diagnosis specifically for delirium.ResultsDelirium diagnoses and inclusion of delirium-specific information on discharge summarynProportion (n=112*) (%)Q1 Any F05 diagnosis coded by Liaison Psychiatry117100Q2 F10.4 diagnosis coded by Liaison Psychiatry00Q3 F1x.4 diagnosis coded by Liaison Psychiatry00Q4 Any F05, F10.4 and F1x.4 diagnosis coded in discharge summary on patient centre2320.5Q5 Was the word delirium or its synonym such as acute confusional state mentioned in the body of the discharge summary?6255.4HIPE Code Diagnosis6658.9ConclusionsHospital discharge summaries are essentially the main communication link between hospitalists and general practitioners to ensure continuity and future care of patients. Delirium diagnosis is not always recorded in discharge summaries. This is a risk to be managed. Education is vital to ensure awareness, prevention, early recognition and to ensure recording of diagnosis of delirium.

An assessment of the content of discharge summaries at Mount Carmel Hospital, Malta

IntroductionDischarge summaries are the mainstay of intra and inter-departmental communication, ensuring continuity of care. Local instructions fail to provide clear guidance to foundation doctors to ensure standardised discharge summaries.ObjectivesThe audit aimed to assess the inclusion of information within discharge summaries at Mount Carmel Hospital, Malta. A secondary objective was to update the current online discharge summary framework.MethodsStratified random sampling was used to select 120 discharge summaries, issued between October 2018 and September 2019. These were chosen out of a total of 956 discharge summaries issued during the period. The inclusion of information was analysed against the National Standard for Patient Discharge Summary Information issued by the Health Information and Quality Authority, Ireland. Data was collected and grouped into seven categories each containing multiple data points.ResultsPatient details were present in all discharge summaries while no details relating to the primary care healthcare professional were documented. The average information inclusion rate regarding admission, discharge and medications was 85%. Average clinical information was documented in 50% while that of future management and person completing discharge summary was found in 41% and 28% respectively (as per Table 1). Encouragingly, discharge summaries contained mandatory information more frequently than conditional or optional information.ConclusionsThis audit has identified deficiencies in current discharge summary practices and gives recommendations for the development of local guidelines.DisclosureNo significant relationships.

Diabetes Detection and Communication among Patients Admitted through the Emergency Department of a Public Hospital.

Early identification/diagnosis of diabetes and frequent monitoring of hyperglycemia reduces hospitalizations and diabetes-related complications. The present study investigated the proportion of older adults coded with diabetes or newly diagnosed during their admissions and assessed discharge summary content for diabetes-related information. The study used electronic data on 4796 individuals aged ≥60 years admitted through the emergency department (ED) of a public hospital from 2017 to 2018 extracted using International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM code). The proportion of admitted patients who were diagnosed with diabetes over a one-year period, proportion with glycated hemoglobin A1c (HbA1c) and random blood glucose (RBG) test performed during their stay, length of stay, discharge summary information and the factors associated with elevated HbA1c (>7%/53 mmol/mol) were investigated. In total, 8.6% of ED presentations to the hospital were coded with diabetes, excluding gestational consisting of 879 patients (449 males, 430 females) aged ≥ 60 years (74.6 ± 8.9 years). In total, 98% had type 2 diabetes (n = 863), 53% were Australian-born (n = 467), and the mean body mass index (BMI, 31 ± 7 kg/m2; n = 499, 56.8%), RBG (9.8 ± 5.2 mmol/L; n = 824, 93.7%) and HbA1c (8.0 ± 2.0%; n = 137, 15.6%) and length of stay (6.7 ± 25.4 days) were similar between gender, age, and nationality (p > 0.05). Three coded patients (0.3%) were newly diagnosed during the admission. In total, 86% had elevated HbA1c, but this was recorded in 20% of discharge summaries. Patients who are on a combination therapy (adjusted odds ratio 23%, 95% confidence intervals: 7%/38%), those on SGLT2 Inhibitors (aOR, 14%: 2%/26%) or had a change in medication (aOR, 40%: 22%/59%) had lower odds of having elevated HbA1c during admission. The low diagnosis rate of diabetes and the lack of clinical assessment of HbA1c in older adults admitted through the ED of a South Western Sydney public hospital suggest that many patients with diabetes either remain undiagnosed even during admission and/or are going to the ED with unknown diabetes that is unidentified with current practices. The clinically important HbA1c results were only infrequently communicated with general practitioners (GPs).

Readmissions to a cardiology department.

Patient readmissions may be an indication of inappropriate patient care pathways or quality failure. The aim of the study was to determine whether we could identify improvement areas by reviewing 50 non-planned readmissions. We reviewed 50 consecutive non-planned readmissions in the Department of Cardiology at the University Hospital of North Norway. The medical records were reviewed based on a simplified version of the '50most recent deaths' methodology. Altogether 29patients had at least one extrinsic risk factor for readmission, the most frequent of which were lack of post-discharge follow-up and failure to transfer information to the municipal health service. Insufficient registration and follow-up of abnormal blood test results, new symptoms immediately before discharge, and missing information in discharge summaries and for patients were other risk factors for readmission. Review of readmissions can serve as an instrument to identify areas for improvement of treatment quality in hospitals. Failure in communication between the hospital, municipal health service and patient was the main contributory factor for readmissions.

Cascading Workflow of Healthcare Services

Despite rapid advancements in technology, the healthcare industry is known to lag behind when it comes to adopting new changes. Most often, when a new technology such as CPOE or EHR systems presents themselves in the healthcare industry, clinicians are left struggling to keep up with their workloads while learning to adjust a new workflow. Instead of disrupting the clinician's clinical workflow, the authors propose a system for transforming clinical narratives presented in the form of discharge summaries from the i2b2 Natural Language Processing dataset into a standardized order set. The proposed system uses natural language processing techniques based on Scala, which extracts discharge summary information about a patient and is proven to be highly scalable. The goal of this system is to increase interoperability between CPOE systems by performing further transformations on the extracted data. The authors adhere to HL7's FHIR standards and use JSON as the primary medical messaging format, which is used both in the US and international healthcare industry organizations and companies.

Traumatic brain injury: Patient experience and satisfaction with discharge from trauma hospital.

To describe the discharge process for patients with traumatic brain injury from a trauma hospital, and patient experience and satisfaction with care transition. Furthermore, to evaluate associations between discharge process and patient satisfaction and quality of care transition. Prospective-retrospective observational study. Seventy-four patients admitted to ward or intensive care unit at a trauma referral hospital within 24 h of traumatic brain injury. Baseline characteristics and discharge process variables were extracted from medical records. Patients were interviewed 6-months post-injury about their experience and satisfaction with care transition, using a visual analogue scale (VAS) and the Care Transition Measurement (CTM-3®) as outcome measures. Regression analyses were performed to investigate associations between discharge process and outcome. One-third of patients were not involved in the discharge process, and information in discharge summaries was often inadequate. Patients' involvement in care transition and co-ordination of care were significantly associated with overall satisfaction (VAS, p = 0.002 and p = 0.001, respectively) and quality of care transition (CTM-3®, p = 0.003 and p = 0.007, respectively). Patients with more severe injuries reported lower satisfaction and quality of care transition. Patient's involvement in healthcare decision-making and co-ordination of care is important for self-reported satisfaction with transition and quality of care transition.

Quality of medication information in discharge summaries from hospitals: an audit of electronic patient records.

Background Low quality of medication information in discharge summaries from hospitals may jeopardize optimal therapy and put the patient at risk for medication errors and adverse drug events. Objective To audit the quality of medication information in discharge summaries and explore factors associated with the quality. Setting Helgelandssykehuset Mo i Rana, a rural hospital in central Norway. Method For each month in 2013, we randomly selected 60 discharge summaries from the Department of Medicine and Surgery (totally 720) and evaluated the medication information using eight Norwegian quality criteria. Main outcome measure Mean score per discharge summary ranging from 0 (lowest quality) to 16 (highest quality). Results Mean score per discharge summary was 7.4 (SD 2.8; range 0-14), significantly higher when evaluating medications used regularly compared to mediations used as needed (7.80 vs. 6.52; p<0.001). Lowest score was achieved for quality criteria concerning generic names, indications for medication use, reasons why changes had been made and information about the source for information. Factors associated with increased quality scores are increasing numbers of medications and male patients. Increasing age seemed to be associated with a reduced score, while type of department was not associated with the quality. Conclusion In discharge summaries from 2013, we identified a low quality of medication information in accordance with the Norwegian quality criteria. Actions for improvement are necessary and follow-up studies to monitor quality are needed.

Hospital to Post-Acute Care Facility Transfers: Identifying Targets for Information Exchange Quality Improvement

IntroductionInformation exchange is critical to high-quality care transitions from hospitals to post-acute care (PAC) facilities. We conducted a survey to evaluate the completeness and timeliness of information transfer and communication between a tertiary-care academic hospital and its related PAC facilities. MethodsThis was a cross-sectional Web-based 36-question survey of 110 PAC clinicians and staff representing 31 PAC facilities conducted between October and December 2013. ResultsWe received responses from 71 of 110 individuals representing 29 of 31 facilities (65% and 94% response rates). We collapsed 4-point Likert responses into dichotomous variables to reflect completeness (sufficient vs insufficient) and timeliness (timely vs not timely) for information transfer and communication. Among respondents, 32% reported insufficient information about discharge medical conditions and management plan, and 83% reported at least occasionally encountering problems directly related to inadequate information from the hospital. Hospital clinician contact information was the most common insufficient domain. With respect to timeliness, 86% of respondents desired receipt of a discharge summary on or before the day of discharge, but only 58% reported receiving the summary within this time frame. Through free-text responses, several participants expressed the need for paper prescriptions for controlled pain medications to be sent with patients at the time of transfer. DiscussionStaff and clinicians at PAC facilities perceive substantial deficits in content and timeliness of information exchange between the hospital and facilities. Such deficits are particularly relevant in the context of the increasing prevalence of bundled payments for care across settings as well as forthcoming readmissions penalties for PAC facilities. Targets identified for quality improvement include structuring discharge summary information to include information identified as deficient by respondents, completion of discharge summaries before discharge to PAC facilities, and provision of hard-copy opioid prescriptions at discharge.

Compliance with the Health Information and Quality Authority of Ireland National Standard for Patient Discharge Summary Information: a retrospective study in secondary care.

Unexplained changes to medication are common at hospital discharge and underscore the need to standardise patient discharge clinical documentation. In 2013, the Health Information and Quality Authority in Ireland published a Standard on the structure and content of discharge summaries. The intention was to ensure that all necessary information was complete and communicated to the next care provider. This study investigated one Hospital's compliance with the Standard, and appraised two methods of electronic discharge communication (Symphony or Tallaght Education and Audit Management System (TEAMS)). A retrospective survey of 198 randomly selected discharge summaries was conducted at the study hospital, a 600 bed academic teaching hospital located in Dublin, Ireland. Of the 198 evaluated summaries, mean total compliance was 77%±4.2 (95% CI 76.3 to 77.5). Most (84.7%, n=173) summaries were completed using one of the systems (TEAMS). Absence of communication about alteration of preadmission medication was frequent (107 out of 130 patients (82.3%, CI 76.2 to 89.2)). Higher compliance rates were observed however, when information was interfaced or where there were dedicated fields to be completed. Efforts to improve compliance with the National Standard for Patient Discharge Summary Information should focus on reporting changes made to medication during hospitalisation.

A failure to communicate: a qualitative exploration of care coordination between hospitalists and primary care providers around patient hospitalizations.

Care coordination between adult hospitalists and primary care providers (PCPs) is a critical component of successful transitions of care from hospital to home, yet one that is not well understood. The purpose of this study was to understand the challenges in coordination of care, as well as potential solutions, from the perspective of hospitalists and PCPs in North Carolina. We conducted an exploratory qualitative study with 58 clinicians in four hospitalist focus groups (n = 32), three PCP focus groups (n = 19), and one hybrid group with both hospitalists and PCPs (n = 7). Interview guides included questions about care coordination, information exchange, follow-up care, accountability, and medication management. Focus group sessions were recorded, transcribed verbatim, and analyzed in ATLAS.ti. The constant comparative method was used to evaluate differences between hospitalists and PCPs. Hospitalists and PCPs were found to encounter similar care coordination challenges, including (1) lack of time, (2) difficulty reaching other clinicians, (3) lack of personal relationships with other clinicians, (4) lack of information feedback loops, (5) medication list discrepancies, and (6) lack of clarity regarding accountability for pending tests and home health. Hospitalists additionally noted difficulty obtaining timely follow-up appointments for after-hours or weekend discharges. PCPs additionally noted (1) not knowing when patients were hospitalized, (2) not having hospital records for post-hospitalization appointments, (3) difficulty locating important information in discharge summaries, and (4) feeling undervalued when hospitalists made medication changes without involving PCPs. Hospitalists and PCPs identified common themes of successful care coordination as (1) greater efforts to coordinate care for "high-risk" patients, (2) improved direct telephone access to each other, (3) improved information exchange through shared electronic medical records, (4) enhanced interpersonal relationships, and (5) clearly defined accountability. Hospitalists and PCPs encounter similar challenges in care coordination, yet have important experiential differences related to sending and receiving roles for hospital discharges. Efforts to improve coordination of care between hospitalists and PCPs should aim to understand perspectives of clinicians in each setting.

Clinical exposures during internal medicine acting internship: Profiling student and team experiences

The clinical learning model in medical education is driven by knowledge acquisition through direct patient-care experiences. Despite the emphasis on experiential learning, the ability of educators to quantify the clinical exposures of learners is limited. To utilize Veterans Affairs (VA) electronic medical record information through a data warehouse to quantify clinical exposures during an inpatient internal medicine rotation. We queried the VA clinical data warehouse for the patients encountered by each learner completing an acting internship rotation at the Cleveland VA Medical Center from July 2008 to November 2011. We then used discharge summary information to identify team exposures-patients seen by the learner's inpatient team who were not primarily assigned to the learner. Based on the learner and team exposures, we complied lists of past medical problems, medications prescribed, laboratory tests that resulted, radiology evaluated, and primary discharge diagnoses. Primary learner and team-based clinical exposures were evaluated for a total of 128 acting internship students. The percentage of learners who had a primary exposure to a medication/lab value/imaging result/diagnosis was calculated. The percentage of learners with at least 1 primary or team-based exposure to an item was also calculated. The most common exposures in each category are presented. Analysis of the clinical exposures during an inpatient rotation can augment the ability of educators to understand learners' experiences. These types of analyses could provide information to improve learner experience, implement novel curricula, and address educational gaps in clinical rotations.

Trends in Duration of Hospitalization for Patients with Tuberculosis in Montreal, Canada from 1993 to 2007

To study the trend of hospital stays for patients diagnosed with pulmonary TB in Montreal from 1993 to 2007. From the registry of hospital discharge summary information, we selected first hospitalizations for patients with a diagnosis of TB, and from the reportable diseases registry, patients with culture positive pulmonary TB. We linked the selected cases, using the first 3 characters of postal code of residence, sex and age. From the linked cases, we included those for whom date of patient's admission to hospital (from the former registry) was similar to the date of notification to the public health department (from the latter registry), while allowing for an appropriate variation. Among the 563 linked cases, the median duration of hospitalization was 17.0 days. Duration of hospitalization did not significantly decrease during the study period. Cases with positive sputum smear were more likely to stay in hospital > or = 14 days compared to those without one (OR = 1.90, 95% CI: 1.34-2.70). TB cases > or = 50 years of age remained in hospital longer than those between 18-49 years of age (OR = 1.66, 95% CI: 1.15-2.40). For 63.9% (360) of the cases studied, the duration of hospitalization was > or = 14 days, which is consistent with the minimum recommended hospital stay for patients with pulmonary TB in Canada. Further studies are necessary to examine the impact of discharging hospitalized TB patients before 14 days of hospital stay on the risk of TB transmission in the community.