Design of a Web-based and Electronic Health Record Management System for Medical Teleconsultation

AbstractFollowing the Great East Japan Earthquake on March 11, 2011, the Japan Medical Association deployed medical disaster teams to Shinchi-town (population: approximately 8,000), which is located 50 km north of the Fukushima Daiichi nuclear power plant. The mission of the medical disaster teams sent from Fukuoka, 1,400 km south of Fukushima, was to provide medical services and staff a temporary clinic for six weeks. Fear of radiation exposure restricted the use of large medical teams and local infrastructure. Therefore, small volunteer groups and a cloud-hosted, web-based electronic health record were implemented. The mission was successfully completed by the end of May 2011. Cloud-based electronic health records deployed using a “software as a service” model worked well during the response to the large-scale disaster.NagataT, HalamkaJ, KennochiH, HimenoS, HimenoA, HashizumeM. Using a cloud-based electronic health record during disaster response: a case study in Fukushima, March 2011. Prehosp Disaster Med. 2013;28(4):1-5.

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Implementation of an Electronic Health Record-Based Care Management System to Improve Tobacco Treatment

Journal of General Internal Medicine ◽

10.1007/s11606-012-2174-6 ◽

2012 ◽

Vol 27 (12) ◽

pp. 1690-1696 ◽

Cited By ~ 21

Author(s):

Gina R. Kruse ◽

Jennifer H. K. Kelley ◽

Jeffrey A. Linder ◽

Elyse R. Park ◽

Nancy A. Rigotti

Keyword(s):

Electronic Health Record ◽

Management System ◽

Care Management ◽

Health Record ◽

Tobacco Treatment ◽

Electronic Health

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A Platform for Health Record Management of the Conscripts in the Hellenic Navy

Studies in Health Technology and Informatics - Public Health and Informatics ◽

10.3233/shti210181 ◽

2021 ◽

Author(s):

Olympia Giannakopoulou ◽

Petros Toumpaniaris ◽

Ioannis Kouris ◽

Konstantia Moirogiorgou ◽

Nansy Karanasiou ◽

...

Keyword(s):

Cardiovascular Risk ◽

Electronic Health Record ◽

Assessment Tool ◽

Personal Data ◽

Record Management ◽

Health Record ◽

Electronic Health Record Data ◽

Recruitment Procedure ◽

Electronic Health ◽

Medical Examinations

eMass project aims to digitalize the medical examination procedure of recruitment phase of conscripts in the Hellenic Navy. eMass integrates recruits’ Electronic Health Record (EHR), while allows a pre-screening test, through portable telemedicine equipment. The data will be exploited to assess the individual’s cardiovascular risk through appropriate digital tools and algorithms. The eMass digital platform, will be accessible to health experts involved in the recruitment procedure for further assessment and processing. Recruits’ personal data is stored in the database encrypted using Advanced Encryption Standard (AES). eMass solution contributes to beneficial management and medical data analysis, preventing inessential physical or medical examinations minimizing danger of possible errors and reducing time-consuming processes. Moreover, eMass exploits Electronic Health Record data through a machine-learning based cardiovascular risk assessment tool.

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Insulin Infusion Computer Calculator Programmed Directly Into Electronic Health Record Medication Administration Record

Journal of Diabetes Science and Technology ◽

10.1177/1932296820966616 ◽

2020 ◽

pp. 193229682096661

Author(s):

Kristen Kulasa ◽

Brittany Serences ◽

Michael Nies ◽

Robert El-Kareh ◽

Kirk Kurashige ◽

...

Keyword(s):

Electronic Health Record ◽

Insulin Infusion ◽

Medication Administration ◽

University Of California ◽

Health Record ◽

Staff Satisfaction ◽

Web Based ◽

Period 2 ◽

Integration Period ◽

Electronic Health

Background: Computerized insulin infusion protocols have demonstrated higher staff satisfaction, better compliance with protocols, and increased time with glucose in range compared to paper protocols. At University of California San Diego Health (UCSDH), we implemented an insulin infusion computer calculator (IICC) and transitioned it from a web-based platform directly into the electronic medication administration record (eMAR) of our primary electronic health record (EHR). Methods: This is a retrospective analysis of 6306 adult patients at UCSDH receiving intravenous (IV) insulin infusion from March 7, 2013 to May 30, 2019. We created three periods of the study—(1) the pre-eMAR integration period; (2) the eMAR integration period; and (3) the post-eMAR integration period—and looked at the percentage of readings within goal range (90-150 mg/dL for intensive care unit [ICU], 90-180 mg/dL for non-ICU) in patients with and without hyperglycemic emergencies. As our safety endpoints, we elected to look at incidence of blood glucose (BG) readings <70 mg/dL, <54 mg/dL, and <40 mg/dL. Results: Pre-eMAR 69.8% of readings were in the 90-150 mg/dL range compared to 70.2% post-eMAR ( P = .03) and 82.7% of readings were in the 90-180 mg/dL range pre-eMAR versus 82.9% ( P = .09) post-eMAR in patients without hyperglycemic emergencies. Rates of hypoglycemia with BG <70 mg/dL were 0.43%, <54 mg/dL were 0.07%, and <40 mg/dL were 0.01% of readings pre- and post-eMAR. Conclusions: At UCSDH, our IICC has shown to be safe and effective in a wide variety of clinical situations and we were able to successfully transition it from a web-based platform directly into the eMAR of our primary EHR.

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