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1.
Aust Health Rev ; 46(4): 501-508, 2022 Aug.
Article in English | MEDLINE | ID: mdl-35831027

ABSTRACT

The introduction of electronic medical records has created vast opportunities in relation to data storage, visibility and extraction. In Allied Health the collection, storage, display and reporting of service statistics is a key opportunity to utilise the capabilities of the electronic medical record to reduce clinician time completing data entry, improve accuracy and visibility of available data and maximise opportunities to view and utilise service statistic information in clinical and operational decision making. This case study describes service statistic capture and extraction for a speech pathology department, pre- and post- the introduction of a digital dashboard. A new Allied Health digital dashboard was created via clinicians and informaticians working collaboratively to define service delivery elements for data extraction and design dashboard functionality. Descriptive comparison of data capture pre- and post- dashboard implementation was undertaken. The integration of service statistic information into a digital dashboard was found to support service statistic reporting, improve ease of access, and provide greater visibility and timeliness of service information.


Subject(s)
Speech-Language Pathology , Electronic Health Records , Humans , Information Storage and Retrieval
2.
Nutr Diet ; 76(4): 480-485, 2019 09.
Article in English | MEDLINE | ID: mdl-31199071

ABSTRACT

AIM: The present study aimed to assess the impact of a hospital-wide electronic medical record (EMR) on the way dietitians collect routine data for their assessments and its impact on their clinical documentation and service provision. METHODS: Data were collected retrospectively from the following sources: interdepartmental chart audit, the EMR itself (nutrition diagnosis), National Health Roundtable database (admissions requiring nutrition events) and the hospital-wide Pressure Injury Prevention Audits (height, weight and malnutrition screening). RESULTS: There were improvements in medical record accessibility (76.4% pre vs 100% post, P < 0.001), awareness of medical alerts (82.5% unaware pre vs 34.5% unaware post) and legibility of documentation (53.8% pre vs 99.2% post, P < 0.001). Improvements in accessing medical charts under 1 minute also occurred (65.8% pre vs 99.2% post, P < 0.001). The percentage of nutrition diagnoses resolved during admission increased from 20.0% in February 2016 to 34.0% in August 2017. A 72.0% increase in admissions requiring nutrition interventions was found with 4075 admissions pre- and 7035 post-EMR implementation. Time spent per nutrition event reduced by 22.0% (118 minutes pre and 92 minutes post). Hospital audit data revealed mean height and weight collected increased from 79.3 ± 3.8% (n = 8 audits totalling 3041/3834 patients) to 86.0 ± 2.6% (n = 5 audits totalling, 2544/2958 patients) post-EMR with malnutrition screening completion increasing from 57.5% to 74.0%. CONCLUSIONS: Findings indicate that EMR implementation has the potential to benefit the dietetic profession due to the potential to enhance the capacity and efficiency of dietetic departments.


Subject(s)
Dietetics/methods , Electronic Health Records/statistics & numerical data , Nutrition Assessment , Tertiary Care Centers , Australia , Hospital Departments , Humans , Nutritional Status , Nutritionists , Retrospective Studies
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