Optimizing the electronic medical record to improve patient care and conduct quality improvement initiatives in a concussion specialty clinic.

Objective: To use the electronic medical record (EMR) to optimize patient care, facilitate documentation, and support quality improvement and practice-based research in a concussion (mild traumatic brain injury; mTBI) clinic.Methods: We built a customized structured clinical documentation support (SCDS) toolkit for patients in a concussion specialty clinic. The toolkit collected hundreds of fields of discrete, standardized data. Autoscored and interpreted score tests include the Generalized Anxiety Disorder 7-item scale, Center for Epidemiology Studies Depression scale, Insomnia Severity Index, and Glasgow Coma Scale. Additionally, quantitative score measures are related to immediate memory, concentration, and delayed recall. All of this data collection occurred in a standard appointment length.Results: To date, we evaluated 619 patients at an initial office visit after an mTBI. We provided a description of our toolkit development process, and a summary of the data electronically captured using the toolkit.Conclusions: The electronic medical record can be used to effectively structure and standardize care in a concussion clinic. The toolkit supports the delivery of care consistent with Best Practices, provides opportunities for point of care decision support, and writes comprehensive progress notes that can be communicated to other providers.

Successful utilization of the EMR in a multiple sclerosis clinic to support quality improvement and research initiatives at the point of care.

BACKGROUND: Many physicians enter data into the electronic medical record (EMR) as unstructured free text and not as discrete data, making it challenging to use for quality improvement or research initiatives. OBJECTIVES: The objective of this research paper was to develop and implement a structured clinical documentation support (SCDS) toolkit within the EMR to facilitate quality initiatives and practice-based research in a multiple sclerosis (MS) practice. METHODS: We built customized EMR toolkits to capture standardized data at office visits. Content was determined through physician consensus on necessary elements to support best practices in treating patients with demyelinating disorders. We also developed CDS tools and best practice advisories within the toolkits to alert physicians when a quality improvement opportunity exists, including enrollment into our DNA biobanking study at the point of care. RESULTS: We have used the toolkit to evaluate 541 MS patients in our clinic and begun collecting longitudinal data on patients who return for annual visits. We provide a description and example screenshots of our toolkits, and a brief description of our cohort to date. CONCLUSIONS: The EMR can be effectively structured to standardize MS clinic office visits, capture data, and support quality improvement and practice-based research initiatives at the point of care.

A New Era in Pathology Consultation: The MyPathologist Electronic Consultation Tool.

Pathologists and laboratory scientists provide valuable guidance on laboratory utilization, test ordering, interpretation, and quality control provided that clinical staff can easily access the laboratory team. To encourage consultation between clinicians with laboratory scientists and pathologists, we developed an easily accessible electronic tool termed "MyPathologist," placed on the homepage of our electronic health record system. Over its 2-year pilot, utilization of this consultation tool climbed as we continued to publicize it and incorporated education into housestaff onboarding and electronic health record training. Physician satisfaction with the tool was high. Additionally, this became the primary source of consults to our residency call service. Evaluation of MyPathologist questions received during its pilot period showed that more than half the questions were of significant educational value to the residents, often focusing on results interpretation, appropriate test ordering, and quality control. MyPathologist is a novel electronic tool for pathology consultation within our electronic health record and also represents an avenue for educating residents, improving utilization of the laboratory, and improving patient care.

Hepatitis C Screening in Commercially Insured U.S. Birth-cohort Patients: Factors Associated with Testing and Effect of an EMR-based Screening Alert.

BACKGROUND AND OBJECTIVES: Hepatitis C virus (HCV) testing rates among U.S. birth-cohort patients have been studied extensively, limited data exists to differentiate birth-cohort screening from risk- or liver disease-based testing. This study aims to identify factors associated with HCV antibody (HCV-Ab) testing in a group of insured birth cohort patients, to determine true birth cohort testing rates, and to determine whether an electronic medical record (EMR)-driven Best Practice Alert (BPA) would improve birth cohort testing rates. METHODS: All birth-cohort outpatients between 2010 and 2015 were identified. HCV-Ab test results, clinical, and demographic variables were extracted from the EMR, and factors associated with testing were analyzed by logistic regression. True birth-cohort HCV screening rates were determined by detailed chart review for all outpatient visits during one calendar month. An automated Best Practice Alert was used to identify unscreened patients at the point of care, and to prompt HCV testing. Screening rates before and after system-wide implementation of the BPA were compared. RESULTS: The historic HCV-Ab testing rate was 11.2% (11,976/106,753). Younger age, female gender, and African American, Asian, or Hispanic ethnicity, and medical comorbidities such as chronic hemodialysis, HIV infection, and rheumatologic and psychiatric comorbidities were associated with higher testing rates. However, during the one-month sampling period, true age cohort-based testing was performed in only 69/10,089 patients (0.68%). Following the system-wide implementation of the HCV BPA, testing rates increased from 0.68% to 10.76% (P<0.0001). CONCLUSIONS: We documented low HCV-Ab testing rates in our baby boomers population. HCV testing was typically performed in the presence of known risk factors or established liver disease. The implementation of an EMR-based HCV BPA resulted in a marked increase in testing rates. Our study highlights current HCV screening gaps, and the utility of the EMR to improve screening rates and population health.

Structured clinical documentation in the electronic medical record to improve quality and to support practice-based research in epilepsy.

OBJECTIVE: Using the electronic medical record (EMR) to capture structured clinical data at the point of care would be a practical way to support quality improvement and practice-based research in epilepsy. METHODS: We describe our stepwise process for building structured clinical documentation support tools in the EMR that define best practices in epilepsy, and we describe how we incorporated these toolkits into our clinical workflow. RESULTS: These tools write notes and capture hundreds of fields of data including several score tests: Generalized Anxiety Disorder-7 items, Neurological Disorders Depression Inventory for Epilepsy, Epworth Sleepiness Scale, Quality of Life in Epilepsy-10 items, Montreal Cognitive Assessment/Short Test of Mental Status, and Medical Research Council Prognostic Index. The tools summarize brain imaging, blood laboratory, and electroencephalography results, and document neuromodulation treatments. The tools provide Best Practices Advisories and other clinical decision support when appropriate. The tools prompt enrollment in a DNA biobanking study. We have thus far enrolled 231 patients for initial visits and are starting our first annual follow-up visits and provide a brief description of our cohort. SIGNIFICANCE: We are sharing these EMR tools and captured data with other epilepsy clinics as part of a Neurology Practice Based Research Network, and are using the tools to conduct pragmatic trials using subgroup-based adaptive designs.

An automatic female pelvic medicine and reconstructive surgery registry and complications manager developed in an electronic medical record.

OBJECTIVES: The aim of this study is to incorporate a structured clinical documentation system (SCDS) into the electronic medical record (EMR), allowing for automatic flow of clinical data into an enterprise data warehouse (EDW) and clinical registry. METHODS: The SCDS programming was developed within inpatient and ambulatory EMR domains, allowing routine documentation in these settings to trigger data flow into an EDW. An extensive set of clinical outcomes was included, focusing on data points likely to exist in the forthcoming American Urogynecologic Society Pelvic Floor Disorders Registry. An electronic complications manager was developed to link immediate and/or delayed complications to the index surgery, allowing for accurate morbidity tracking. RESULTS: All aspects of EMR documentation were successfully reconfigured for charting in both inpatient and office settings. Clinicians transitioned to clinical documentation such that no additional data entry beyond routine charting was required, and this resulted in data flow into the EDW. Physician feedback led to the refinement of SCDS entry fields. CONCLUSIONS: This SCDS system allows for automatic flow of a comprehensive data set from our EMR into an EDW and registry. It also provides the ability to systematically track complications and longitudinal clinical outcomes. Integrated systems may eliminate barriers associated with free-standing registries including those relating to cost, maintenance, data integrity, and consistent clinician participation. In addition, it should improve ascertainment of a complete patient population in comparison to voluntary registries.