scholarly journals Patient-Centered Research from Electronic Medical Records

2011 ◽  
Vol 15 (4) ◽  
Author(s):  
Mikel Aickin
Keyword(s):  
Electronic Medical Records ◽  
Medical Records ◽  
Patient Centered

Abstract WP360: Sex Differences in Patient Centered Outcomes Obtained from Electronic Medical Records in the Greater Cincinnati Northern Kentucky Stroke Study

Stroke ◽  
2019 ◽  
Vol 50 (Suppl_1) ◽  
Author(s):  
Tracy E Madsen ◽  
Heidi Sucharew ◽  
Kathleen Alwell ◽  
Stacie L Demel ◽  
Felipe De Los Rios La Rosa ◽  
...  
Keyword(s):  
Sex Differences ◽  
Electronic Medical Records ◽  
Medical Records ◽  
Patient Centered ◽  
Stroke Study

scholarly journals Emerging from Smoke and Mirrors

2021 ◽  
Author(s):  
Lo Fu Tan
Keyword(s):  
Electronic Medical Records ◽  
Data Storage ◽  
Medical Records ◽  
Digital Health ◽  
Patient Centered ◽  
Cloud Data ◽  
Letting Go ◽  
Cloud Data Storage ◽  
Available Technology ◽  
Remote Patient

Digital Health promises to transform healthcare in this decade. We have gone from “low tech” telephones, fax machines, dictation lines, desk-top electronic medical records, and data storage centers to video visits, texting, emails, smart phones and other mobile devices, and to higher forms including artificial intelligence, cloud data storage, and blockchain. However, letting go of legacy applications and then implementing the best available technology for clinical use has been challenging. This chapter will review the factors that contribute to the difficulty of moving from old to new tools. Specific examples will be video, electronic medical records and remote patient monitoring. The process of evaluating a new technological application will be described and a standardized framework proposed. We will finish with a discussion around local and scaled steps that can facilitate, support and sustain a patient-centered application of the best technology in healthcare. A call to action for the reader will be presented.

scholarly journals Impact of a Hospitalist-Run Procedure Service on Time to Paracentesis and Length of Stay

2021 ◽  
Author(s):  
Evan Ritter ◽  
Manpreet Malik ◽  
Rehan Qayyum
Keyword(s):  
Length Of Stay ◽  
Electronic Medical Records ◽  
Medical Records ◽  
Hospital Length ◽  
Resident Training ◽  
Hospital Length Of Stay ◽  
Patient Centered ◽  
Service Group ◽  
Radiology Service ◽  
Resident Group

Hospitals are establishing procedure services to address resident training and patient safety. We examined whether a hospitalist procedure service affects a patient’s hospital length of stay (LOS) and the time from admission to paracentesis (A2P). We queried our electronic medical records for all inpatient peritoneal fluid samples from July 1, 2016, to May 31, 2019. LOS and A2P time were compared among patients who had paracentesis by the procedure service, by residents, or by radiology. Of the 1,321 procedures, 509 (38.5%) were performed by the procedure service. In the adjusted analysis, as compared with procedure service, the group that underwent paracentesis by the radiology service had a 27% longer LOS (95% CI, 2%-58%) and 40% longer A2P time (95% CI, 5%-87%). The resident group had shorter A2P (–19%; 95% CI, –33% to 0.2%; P = .05) than the procedure service group but similar LOS. To our knowledge, this is the first study that suggests patient-centered benefits of a hospitalist procedure service.

Adolescent Substance Use Screening Integrated With Electronic Medical Records

2014 ◽  
Author(s):  
C. McKenna ◽  
B. Gaines ◽  
C. Hatfield ◽  
S. Helman ◽  
L. Meyer ◽  
...  
Keyword(s):  
Substance Use ◽  
Electronic Medical Records ◽  
Medical Records ◽  
Adolescent Substance Use ◽  
Adolescent Substance

908-P: Predictive Model for Glycemic Level of People with Diabetes Mellitus Using Data Extracted from Electronic Medical Records in Primary Care

Diabetes ◽  
2020 ◽  
Vol 69 (Supplement 1) ◽  
pp. 908-P
Author(s):  
SOSTENES MISTRO ◽  
THALITA V.O. AGUIAR ◽  
VANESSA V. CERQUEIRA ◽  
KELLE O. SILVA ◽  
JOSÉ A. LOUZADO ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Primary Care ◽  
Predictive Model ◽  
Electronic Medical Records ◽  
Medical Records ◽  
Glycemic Level ◽  
Using Data
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