scholarly journals Development of a Comprehensive Physician Note with the Electronic Medical Record (EMR) to Ensure Clinical Documentation of Essential Data

2016 ◽  
Vol 22 (3) ◽  
pp. S111
Author(s):  
Connie Rose Jackson ◽  
Jennifer Chang ◽  
Shannon McClenton
Epilepsia ◽  
2016 ◽  
Vol 58 (1) ◽  
pp. 68-76 ◽  
Author(s):  
Jaishree Narayanan ◽  
Sofia Dobrin ◽  
Janet Choi ◽  
Susan Rubin ◽  
Anna Pham ◽  
...  

Diagnosis ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Kelly Gleason ◽  
Maria R. Dahm

Abstract Objectives To explore how patients describe their diagnoses following Emergency Department (ED) discharge, and how this compares to electronic medical record (EMR) documentation. Methods We conducted a cohort study of patients discharged from three EDs. Patients completed questionnaires regarding their understanding of their diagnosis. Inclusion criteria: adult ED patients aged 18 and older seen within the last seven days. We independently compared patient-reported new diagnoses following discharge to EMR-documented diagnoses regarding diagnostic content (identical, insignificantly different, different, not enough detail) and the level of technical language in diagnostic description (technical, semi-technical, lay). Results The majority of participants (n=95 out of 137) reported receiving a diagnosis and stated the given diagnosis. Of those who reported their diagnosis, 66%, were females (n=62), the average age was 43 (SD 16), and a fourth (n=24) were Black and 66% (n=63) were white. The majority (84%) described either the same or an insignificantly different diagnosis. For 11% the patient-reported diagnosis differed from the one documented. More than half reported their diagnosis using semi-technical (34%) or technical language (26%), and over a third (40%) described their diagnosis in lay language. Conclusions Patient-reported diagnoses following ED discharge had moderate agreement with EMR-documented diagnoses. Findings suggest that patients might reproduce verbatim semi-technical or technical diagnoses they received from clinicians, but not fully understood what the diagnosis means for them.


2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Demetrius M. Maraganore ◽  
Thomas Freedom ◽  
Kelly Claire Simon ◽  
Lori E. Lovitz ◽  
Camelia Musleh ◽  
...  

Abstract Background We developed and implemented a structured clinical documentation support (SCDS) toolkit within the electronic medical record, to optimize patient care, facilitate documentation, and capture data at office visits in a sleep medicine/neurology clinic for patient care and research collaboration internally and with other centers. Methods To build our SCDS toolkit, physicians met frequently to develop content, define the cohort, select outcome measures, and delineate factors known to modify disease progression. We assigned tasks to the care team and mapped data elements to the progress note. Programmer analysts built and tested the SCDS toolkit, which included several score tests. Auto scored and interpreted tests included the Generalized Anxiety Disorder 7-item, Center for Epidemiological Studies Depression Scale, Epworth Sleepiness Scale, Pittsburgh Sleep Quality Index, Insomnia Severity Index, and the International Restless Legs Syndrome Study Group Rating Scale. The SCDS toolkits also provided clinical decision support (untreated anxiety or depression) and prompted enrollment of patients in a DNA biobank. Results The structured clinical documentation toolkit captures hundreds of fields of discrete data at each office visit. This data can be displayed in tables or graphical form. Best practice advisories within the toolkit alert physicians when a quality improvement opportunity exists. As of May 1, 2019, we have used the toolkit to evaluate 18,105 sleep patients at initial visit. We are also collecting longitudinal data on patients who return for annual visits using the standardized toolkits. We provide a description of our development process and screenshots of our toolkits. Conclusions The electronic medical record can be structured to standardize Sleep Medicine office visits, capture data, and support multicenter quality improvement and practice-based research initiatives for sleep patients at the point of care.


Suchttherapie ◽  
2020 ◽  
Vol 21 (04) ◽  
pp. 189-193
Author(s):  
R. Michael Krausz ◽  
Farhud Shams ◽  
Maurice Cabanis

ZusammenfassungInsbesondere während der aktuellen Corona-Pandemie hat der Gebrauch virtueller Lösungen in der Medizin international stark zugenommen. Es gibt eine zunehmende Akzeptanz gerade auch in dem Bereich der hausärztlichen Versorgung, der Behandlung psychischer Störungen und der Abhängigkeitserkrankungen.Die Entwicklung ist international unterschiedlich, v. a, wenn man die USA und Kanada auf der einen Seite und Europa, insbesondere Deutschland, andererseits vergleicht. In Nordamerika hat bei dem Einsatz von moderner Technologie die Einführung von „Electronic Medical Record Systems“ eine dominierende Rolle gespielt. Diese ist insbesondere auf Abrechnung und Dokumentation zu Versicherungszwecken fokussiert. Daneben gibt es zunehmend Apps, die spezifische therapeutische Ansätze zu implementieren helfen. Die Anwendung virtueller Ansätze im Suchtbereich ist begrenzt, aber in Teilen sehr innovativ und auf deutsche Verhältnisse anwendbar. Wie in Europa gibt es auch in Nordamerika nur sehr begrenzte Forschungskapazitäten und prinzipiell Widerstand bei den medizinischen Berufsgruppen bezüglich der Anwendungsmöglichkeiten und der Rolle im Behandlungsprozess. Mehr Kooperation würde international zu einer Beschleunigung der Entwicklung und der Etablierung gemeinsamer Standards beitragen sowie die Behandlungssysteme bedeutend verbessern.


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