scholarly journals Entity Extraction for Clinical Notes, a Comparison Between MetaMap and Amazon Comprehend Medical

2021 ◽  
Author(s):  
Fatemeh Shah-Mohammadi ◽  
Wanting Cui ◽  
Joseph Finkelstein
Keyword(s):  
Risk Factors ◽  
Clinical Research ◽  
Healthcare Quality ◽  
Entity Extraction ◽  
Average Precision ◽  
Extraction Capacity ◽  
Clinical Notes ◽  
Meaningful Information ◽  
Medical Entity ◽  
Discharge Summaries

Extracting meaningful information from clinical notes is challenging due to their semi- or unstructured format. Clinical notes such as discharge summaries contain information about diseases, their risk factors, and treatment approaches associated to them. As such, it is critical for healthcare quality as well as for clinical research to extract those information and make them accessible to other computerized applications that rely on coded data. In this context, the goal of this paper is to compare the automatic medical entity extraction capacity of two available entity extraction tools: MetaMap (MM) and Amazon Comprehend Medical (ACM). Recall, precision and F-score have been used to evaluate the performance of the tools. The results show that ACM achieves higher average recall, average precision, and average F-score in comparison with MM.

scholarly journals 947. Stroke demographics and risk factor profile in HIV infected individuals in Florida

2020 ◽  
Vol 7 (Supplement_1) ◽  
pp. S506-S506
Author(s):  
Folusakin Ayoade ◽  
Dushyantha Jayaweera
Keyword(s):  
Risk Factors ◽  
Risk Factor ◽  
Clinical Research ◽  
Stroke Risk ◽  
Research Network ◽  
Categorical Variables ◽  
People Living With Hiv ◽  
Risk Factor Profile ◽  
Stroke Risk Factors ◽  
Living With Hiv

Abstract Background The risk of ischemic stroke (IS) is known to be higher in people living with HIV (PLWH) than uninfected controls. However, information about the demographics and risk factors for hemorrhagic stroke (HS) in PLWH is scant. Specifically, very little is known about the differences in the stroke risk factors between HS and IS in PLWH. The goal of this study was to determine the demographics and risk factor differences between HS and IS in PLWH. Methods We retrospectively analyzed the demographic and clinical data of PLWH in OneFlorida (1FL) Clinical Research Consortium from October 2015 to December 2018. 1FL is a large statewide clinical research network and database which contains health information of over 15 million patients, 1240 clinical practices, and 22 hospitals. We compared HS and IS based on documented ICD 9 and 10 diagnostic codes and extracted information about sociodemographic data, traditional stroke risk factors, Charlson comorbidity scores, habits, HIV factors, diagnostic modalities and medications. Statistical significance was determined using 2-sample T-test for continuous variables and adjusted Pearson chi square for categorical variables. Odds ratio (OR) and 95% confidence intervals (CI) between groups were compared. Results Overall, from 1FL sample of 13986 people living with HIV, 574 subjects had strokes during the study period. The rate of any stroke was 18.2/1000 person-years (PYRS). The rate of IS was 10.8/1000 PYRS while the rate of HS was 3.7/1000 PYRS, corresponding to 25.4% HS of all strokes in the study. Table 1 summarizes the pertinent demographic and risk factors for HS and IS in PLWH in the study. Table 1: Summary of pertinent demographic and risk factors for hemorrhagic and ischemic strokes in people living with HIV from One Florida database Conclusion In this large Floridian health database, demographics and risk factor profile differs between HS and IS in PLWH. Younger age group is associated with HS than IS. However, hypertension, hyperlipidemia and coronary artery disease are more likely to contribute to IS than HS in PLWH. Further research is needed to better understand the interplay between known and yet unidentified risk factors that may be contributing to HS and IS in PLWH. Disclosures All Authors: No reported disclosures

scholarly journals Interest in Health Information Exchange in Ambulatory Care: A Statewide Survey

2010 ◽  
Vol 01 (01) ◽  
pp. 1-10 ◽  
Author(s):  
S. E. Ross ◽  
B. K. Mellis ◽  
B. L. Beaty ◽  
L. M. Schilling ◽  
A. J. Davidson ◽  
...  
Keyword(s):  
Primary Care ◽  
Health Information ◽  
Information Exchange ◽  
Health Information Exchange ◽  
Value Proposition ◽  
Data Types ◽  
Clinical Notes ◽  
Childhood Immunizations ◽  
Problem Lists ◽  
Discharge Summaries

SummaryObjective: Assess the interest in and preferences of ambulatory practitioners in HIE.Background: Health information exchange (HIE) may improve the quality and efficiency of care. Identifying the value proposition for smaller ambulatory practices may help those practices engage in HIE.Methods: Survey of primary care and specialist practitioners in the State of Colorado.Results: Clinical data were commonly (always [2%], often [29%] or sometimes [49%]) missing during clinic visits. Of 12 data types proposed as available through HIE, ten were considered “extremely useful” by most practitioners. “Clinical notes/consultation reports,” “diagnosis or problem lists,” and “hospital discharge summaries” were considered the three most useful data types. Interest in EKG reports, diagnosis/problem lists, childhood immunizations, and discharge summaries differed among ambulatory practitioner groups (primary care, obstetrics-gynecology, and internal medicine subspecialties).Conclusion: Practitioners express strong interest in most of the data types, but opinions differed by specialties on what types were most important. All providers felt that a system that provided all data types would be useful. These results support the potential benefit of HIE in ambulatory practices.

scholarly journals Interest in Health Information Exchange in Ambulatory Care: A Statewide Survey

2010 ◽  
Vol 01 (01) ◽  
pp. 1-10 ◽  
Author(s):  
S. E. Ross ◽  
B. K. Mellis ◽  
B. L. Beaty ◽  
L. M. Schilling ◽  
A. J. Davidson ◽  
...  
Keyword(s):  
Primary Care ◽  
Health Information ◽  
Information Exchange ◽  
Health Information Exchange ◽  
Value Proposition ◽  
Data Types ◽  
Clinical Notes ◽  
Childhood Immunizations ◽  
Problem Lists ◽  
Discharge Summaries

SummaryObjective: Assess the interest in and preferences of ambulatory practitioners in HIE.Background: Health information exchange (HIE) may improve the quality and efficiency of care. Identifying the value proposition for smaller ambulatory practices may help those practices engage in HIE.Methods: Survey of primary care and specialist practitioners in the State of Colorado.Results: Clinical data were commonly (always [2%], often [29%] or sometimes [49%]) missing during clinic visits. Of 12 data types proposed as available through HIE, ten were considered “extremely useful” by most practitioners. “Clinical notes/consultation reports,” “diagnosis or problem lists,” and “hospital discharge summaries” were considered the three most useful data types. Interest in EKG reports, diagnosis/problem lists, childhood immunizations, and discharge summaries differed among ambulatory practitioner groups (primary care, obstetrics-gynecology, and internal medicine subspecialties).Conclusion: Practitioners express strong interest in most of the data types, but opinions differed by specialties on what types were most important. All providers felt that a system that provided all data types would be useful. These results support the potential benefit of HIE in ambulatory practices.

scholarly journals Why psychiatric discharge summaries do not contain the mental state examination at discharge

1992 ◽  
Vol 16 (4) ◽  
pp. 216-217
Author(s):  
Marco Akerman ◽  
Mark McCarthy
Keyword(s):  
Mental State ◽  
Clinical Notes ◽  
Institutional Incentives ◽  
State Examination ◽  
Discharge Summaries

In an era where computerised information is dominant, it may seem an eccentric enterprise to assess the quality of case-notes and to propose changes in the notekeeping process. There are no institutional incentives for clinicians to provide organised and standardised clinical notes (Casper, 1987) and there is no clear evidence that poor notekeeping means that satisfactory care has not been provided.

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