scholarly journals A review of the empirical evidence of the value of structuring and coding of clinical information within electronic health records for direct patient care

2013 ◽  
Vol 20 (3) ◽  
pp. 171 ◽  
Author(s):  
Dipak Kalra ◽  
Bernard Fernando ◽  
Zoe Morrison ◽  
Aziz Sheikh
Keyword(s):  
Electronic Health Records ◽  
Patient Care ◽  
Empirical Evidence ◽  
Clinical Information ◽  
Direct Patient Care ◽  
Health Records ◽  
Electronic Health

scholarly journals Monitoring InBaskets With Feedback to Providers Enhances the Timeliness of Patient Care

2018 ◽  
Vol 14 (5) ◽  
pp. e310-e315
Author(s):  
Amelia A. Trant ◽  
Michael Strait ◽  
Rory Kaplan ◽  
Vanna Dest ◽  
Adam Roshka ◽  
...  
Keyword(s):  
Electronic Health Records ◽  
Patient Care ◽  
Interdisciplinary Communication ◽  
Clinical Information ◽  
The Other ◽  
Financial Impact ◽  
Health Records ◽  
Revenue Collection ◽  
Aging Function ◽  
Electronic Health

Purpose: Electronic health records have changed providers’ workflow. Epic’s InBasket supplants traditional communication and is a central hub for clinical information. Failure to promptly complete records impairs communication and revenue collection. By tracking providers’ InBasket activities and offering feedback, we hoped to improve InBasket management and interdisciplinary communication. Methods: We created a report to track 273 providers’ InBasket activities, including ambulatory transcriptions, chart cosignatures, order cosignatures, patient calls, results, and billable encounters. The report showed how often and for how long each activity was delinquent. We completed three Plan-Do-Study-Act cycles. During cycle 1 (November to December 2015), we sent all providers automated e-mails with their monthly results. During cycle 2 (January to April 2016), we focused solely on billable encounter closure and sent targeted e-mails to providers with > 50 delinquent encounters. The e-mails stated that providers had 30 days to complete encounters or their practices would be closed to new patients; at 30 days, noncompliant providers had 60 days before practice suspension. During cycle 3 (May to September 2016), we continued to monitor and send targeted e-mails to providers who accumulated > 50 encounters. We modeled the financial impact of the intervention using net closure data, the report’s aging function, and billing logs. Results: InBasket monitoring with structured feedback decreased open encounters by 53.43%. We did not see improvements in the other metrics that the report tracked. We estimate that $231,724 was saved as a result of the intervention and $349,179 was lost to filing deadlines. Conclusion: Automated e-mails did not reduce open encounters; targeted e-mails to providers improved InBasket management.

The process of sourcing and preparing electronic health records data to implement a machine-learning algorithm for early identification of maternal cardiovascular risk (Preprint)

2021 ◽  
Author(s):  
Nawar Shara ◽  
Kelley M. Anderson ◽  
Noor Falah ◽  
Maryam F. Ahmad ◽  
Darya Tavazoei ◽  
...  
Keyword(s):  
Machine Learning ◽  
Cardiovascular Risk ◽  
Electronic Health Records ◽  
Patient Care ◽  
Early Identification ◽  
Health Data ◽  
Patient Specific ◽  
Patient Records ◽  
Health Records ◽  
Electronic Health

BACKGROUND Healthcare data are fragmenting as patients seek care from diverse sources. Consequently, patient care is negatively impacted by disparate health records. Machine learning (ML) offers a disruptive force in its ability to inform and improve patient care and outcomes [6]. However, the differences that exist in each individual’s health records, combined with the lack of health-data standards, in addition to systemic issues that render the data unreliable and that fail to create a single view of each patient, create challenges for ML. While these problems exist throughout healthcare, they are especially prevalent within maternal health, and exacerbate the maternal morbidity and mortality (MMM) crisis in the United States. OBJECTIVE Maternal patient records were extracted from the electronic health records (EHRs) of a large tertiary healthcare system and made into patient-specific, complete datasets through a systematic method so that a machine-learning-based (ML-based) risk-assessment algorithm could effectively identify maternal cardiovascular risk prior to evidence of diagnosis or intervention within the patient’s record. METHODS We outline the effort that was required to define the specifications of the computational systems, the dataset, and access to relevant systems, while ensuring data security, privacy laws, and policies were met. Data acquisition included the concatenation, anonymization, and normalization of health data across multiple EHRs in preparation for its use by a proprietary risk-stratification algorithm designed to establish patient-specific baselines to identify and establish cardiovascular risk based on deviations from the patient’s baselines to inform early interventions. RESULTS Patient records can be made actionable for the goal of effectively employing machine learning (ML), specifically to identify cardiovascular risk in pregnant patients. CONCLUSIONS Upon acquiring data, including the concatenation, anonymization, and normalization of said data across multiple EHRs, the use of a machine-learning-based (ML-based) tool can provide early identification of cardiovascular risk in pregnant patients. CLINICALTRIAL N/A

Handoff Communication and Electronic Health Records

2014 ◽  
Vol 3 (1) ◽  
pp. 162-169 ◽  
Author(s):  
Julie Apker ◽  
Christopher Beach ◽  
Kevin O’Leary ◽  
Jennifer Ptacek ◽  
Dickson Cheung ◽  
...  
Keyword(s):  
Electronic Health Records ◽  
Patient Care ◽  
Healthcare Delivery ◽  
Communication Style ◽  
Health Records ◽  
Practical Applications ◽  
Sensemaking Theory ◽  
Making Sense ◽  
Study Results ◽  
Electronic Health

When transferring patient care responsibilities across the healthcare continuum, clinicians strive to communicate safely and effectively, but communication failures exist that threaten patient safety. Although researchers are making great strides in understanding and solving intraservice handoff problems, inter-service transition communication remains underexplored. Further, electronic health records (EHRs) figure prominently in healthcare delivery, but less is known about how EHRs contribute to inter-service handoffs. This descriptive, qualitative study uses Sensemaking Theory to explore EHR-facilitated, inter-service handoffs occurring between emergency medicine and internal/hospitalist medicine physicians. The researchers conducted six focus groups with 16 attending physicians and medical residents at a major Midwestern academic hospital. Findings suggest clinicians hold varied expectations for information content and relational communication/style. Their expectations contribute to making sense of uncertain handoff situations and communication best practices. Participants generally perceive EHRs as tools that, when used appropriately, can enhance handoffs and patient care continuity. Ideas for practical applications are offered based on study results.

scholarly journals Propuesta metodológica de intercambio electrónico de información clínica basada en estándares de telemedicina/Methodological proposal of electronic data interchange and clinical information based on telemedicine standards

2020 ◽  
Author(s):  
P. Moreno ◽  
G. Bastidas ◽  
P. Moreno
Keyword(s):  
Electronic Health Records ◽  
Information And Communication Technologies ◽  
Web Application ◽  
Medical Information ◽  
Reference Model ◽  
Clinical Information ◽  
Electronic Data Interchange ◽  
Records Management ◽  
Health Records ◽  
Electronic Health

El avance de las tecnologías de la información ha permitido un cambio sustancial en el desarrollo de la Salud, por lo que el uso de estándares de telemedicina como el HL7 y CEN TC 251-13606 permiten que los sistemas de información médica se comuniquen vía mensajes estandarizados facilitando el uso de los mismos. El propósito de este estudio es crear una guía metodológica de intercambio electrónico de información clínica basada en el análisis de los estándares de telemedicina HL7 y CEN TC 251- 13606 para mejorar la eficiencia de la gestión de Historias Clínicas de los pacientes. La metodología consta de 2 fases, la primera plantea el diseño e implementación del modelo de referencia de la Historia Clínica Electrónica, el mismo que define entidades necesarias en la construcción de una Historia Clínica Electrónica, en la fase 2 se define la arquitectura de la historia clínica especificando la estructura y semántica del documento mediante el lenguaje XML, el cual se utiliza en los procesos de gestión de las historias clínicas electrónicas dentro del sistema médico desarrollado. Este sistema permite control clínico a distancia facilitando la interacción médico-paciente. El sistema posee una aplicación web, una aplicación de escritorio y una plataforma hardware e- Salud. La aplicación de la metodología planteada mejora la eficiencia de la gestión de historias clínicas, puesto que el 83.32% de los médicos de la clínica consideran que se agiliza el proceso de acceso, creación e ingreso de historias clínicas y reduce recursos en el proceso de control de pacientes domiciliarios. The advance of Information and Communication Technologies has improved Health Care in last years; by providing new ways of accessing medical information. In particular, the use of telemedicine standards such as HL7 and CENTC 251-13606 allows standard communication, integration, and retrieval of electronic health records among medical systems. This article aims to create a methodological guide for the electronic exchange of clinical information based on telemedicine standards in order to improve the efficiency of electronic health records management. The proposed methodology consists of two phases: The first one states the design and implementation of the reference model of an electronic health records, which defines entities of the electronic health record. In phase 2, this methodology describes electronic health records architecture. The architecture is defined by the structure and semantics of the document using XML. In order to test the proposed methodology, a medical system was implemented that consists of a web application, desktop application, and hardware platform e- Health. This system allows the electronic exchange of clinical information to ease patient-doctor interaction. The results show 83,32% of doctors at the clinic where the system was tested agree the proposed methodology for electronic exchange improves the efficiency of electronic health records management since it speeds up the process of creation and retrieval of an electronic health records. Moreover, the system reduces resources in the control of home patients. Palabras clave: Telemedicina, HCE, HL7, CENTC 251-13606, e-Salud. Keywords: Telemedicine, EHR, HL7, CENTC 251-13606, e-Health.

scholarly journals Quality improvement of prescribing safety: a pilot study in primary care using UK electronic health records

2019 ◽  
Vol 69 (686) ◽  
pp. e605-e611 ◽  
Author(s):  
Helen P Booth ◽  
Arlene M Gallagher ◽  
David Mullett ◽  
Lucy Carty ◽  
Shivani Padmanabhan ◽  
...  
Keyword(s):  
Primary Care ◽  
Quality Improvement ◽  
Electronic Health Records ◽  
Patient Care ◽  
Scale Up ◽  
Pilot Phase ◽  
Electronic Health Record Data ◽  
Health Records ◽  
Patient Level ◽  
Electronic Health

BackgroundQuality improvement (QI) is a priority for general practice, and GPs are expected to participate in and provide evidence of QI activity. There is growing interest in harnessing the potential of electronic health records (EHR) to improve patient care by supporting practices to find cases that could benefit from a medicines review.AimTo develop scalable and reproducible prescribing safety reports using patient-level EHR data.Design and settingUK general practices that contribute de-identified patient data to the Clinical Practice Research Datalink (CPRD).MethodA scoping phase used stakeholder consultations to identify primary care QI needs and potential indicators. QI reports containing real data were sent to 12 pilot practices that used Vision GP software and had expressed interest. The scale-up phase involved automating production and distribution of reports to all contributing practices that used both Vision and EMIS software systems. Benchmarking reports with patient-level case review lists for two prescribing safety indicators were sent to 457 practices in December 2017 following the initial scale-up (Figure 2).ResultsTwo indicators were selected from the Royal College of General Practitioners Patient Safety Toolkit following stakeholder consultations for the pilot phase involving 12 GP practices. Pilot phase interviews showed that reports were used to review individual patient care, implement wider QI actions in the practice, and for appraisal and revalidation.ConclusionElectronic health record data can be used to provide standardised, reproducible reports that can be delivered at scale with minimal resource requirements. These can be used in a national QI initiative that impacts directly on patient care.

scholarly journals Case Report Medical Eponyms

2012 ◽  
Vol 03 (03) ◽  
pp. 349-355 ◽  
Author(s):  
L.N. Guptha Munugoor Baskaran ◽  
P.J. Greco ◽  
D.C. Kaelber
Keyword(s):  
Case Report ◽  
Electronic Health Records ◽  
Patient Care ◽  
Improve Patient Care ◽  
Clinical Informatics ◽  
Health Records ◽  
Electronic Health ◽  
Informatics Tools ◽  
Improve Patient

SummaryMedical eponyms are medical words derived from people’s names. Eponyms, especially similar sounding eponyms, may be confusing to people trying to use them because the terms themselves do not contain physiologically descriptive words about the condition they refer to. Through the use of electronic health records (EHRs), embedded applied clinical informatics tools including synonyms and pick lists that include physiologically descriptive terms associated with any eponym appearing in the EHR can significantly enhance the correct use of medical eponyms. Here we describe a case example of two similar sounding medical eponyms – Wegener’s disease and Wegner’s disease – which were confused in our EHR. We describe our solution to address this specific example and our suggestions and accomplishments developing more generalized approaches to dealing with medical eponyms in EHRs. Integrating brief physiologically descriptive terms with medical eponyms provides an applied clinical informatics opportunity to improve patient care.

scholarly journals Caducidad de un documento escrito en handoff

2019 ◽  
Vol 11 (1) ◽  
pp. 4
Author(s):  
Estefanía Chamorro García ◽  
Inmaculada Hernández García ◽  
Ana Isabel Galve Marqués ◽  
Pilar Cabrerizo Torrente
Keyword(s):  
Electronic Health Records ◽  
Real Time ◽  
Medical Errors ◽  
Clinical Information ◽  
Health Records ◽  
Inaccurate Information ◽  
Surgical Services ◽  
Electronic Health ◽  
Impact Patient Care ◽  
Medical Teams

El “handoff” o “pase del paciente” se define como el intercambio de información clínica cuando un nuevo médico o equipo médico asume el manejo de un paciente, bien sea de forma oral o escrita. La transmisión de información (handoff) oral, es una fuente de errores de comunicación y debe mejorar para disminuir los errores y los eventos adversos. La naturaleza estática de los documentos escritos hace que rápidamente la información se desactualice aumentando el error. Los documentos de handoff electrónicos, integrados en la historia clínica se han asociado con mejoras. La impresión hace que la actualización de los datos a tiempo real sea prácticamente imposible, incrementando el riesgo de una información inexacta. El objetivo del estudio fue determinar el tiempo en el que los datos clínicos del documento escrito se vuelven imprecisos, caracterizar el tipo de imprecisiones e identificar diferencias entre los turnos de día y de noche, así como entre servicios médicos y quirúrgicos. La hipótesis afirmaba que al final del turno de noche, la mayoría de los documentos de handoff contenían al menos un error, con potencial de producir daño. Se usó el término de “vida media”. Documentando estas imprecisiones, los autores esperaron que existiera la posibilidad de actualizar los datos en la historia clínica electrónica a tiempo real, con el objetivo de mejorar la seguridad del paciente. ABSTRACT  Expiry of a handoff printed document The handoff is defined as the change of clinical information about patients for whom physicians are responsible for between doctors and medical teams, both printed and verbal. Medical errors related to poor communication remain unacceptably common. Verbal handoffs are known to be high-risk source of communication errors and it may be improved to reduce adverse events. The static nature of printed documents makes it likely that some of the information will quickly become inaccurate, increasing the potential for medical errors. Computerised handoff documents integrated with electronic health records have been associated with improvements. Printing makes real-time automatic updating impossible, and therefore, increases the potential for inaccurate information. The main goals of this study were to measure the average time to potential inaccuracy of a printed handoff, to determine the types of inaccuracy and to identify differences between day and night shifts, as well as surgical and non-surgical services. They hypothesized that by the end of an overnight call shift, most handoffs documents would contain at least one error, which had the potential to impact patient care. They used the term  “half-life”. By documenting the inaccuracies which can be expected on printed handoff documents, the authors hope to achieve a shift toward reliance on the electronic health records on screen real, real-time, with the ultimate desired result of improved patient safety.

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