scholarly journals The Electronic Oral Health Record

2002 ◽  
Vol 3 (1) ◽  
pp. 1-15 ◽  
Author(s):  
David W. Heid ◽  
Joseph Chasteen ◽  
Arden W. Forrey

Abstract This paper presents the history of the use of the computer for maintaining patient medical care information. An electronic record generated with a computer, which is non-specific for any healthcare specialty, is referred to as the electronic health record. The electronic health record was previously called the computer-based patient record. “Electronic” replaced the earlier term “computer-based” because “electronic” better describes the medium in which the patient record is managed. The electronic health record and its application to dentistry are discussed. The electronic health record is a “database” of patient information that has been entered by any healthcare provider; the electronic oral health record is an “electronic record” of oral health information that has been entered by an oral healthcare provider. The significant differences between the electronic health record and the electronic oral health record are outlined and highlighted. Included is a template describing a procedure to be used by dental personnel during the decision making process of purchasing an electronic oral health record. A brief description of a practice template is also provided. These completed templates can be shared with dental software vendors to clarify their understanding of and to clearly describe the needs of today's dental practice. The challenge of introducing information technology into educational institutions' curricula is identified. Finally, the potential benefit of using electronic technology for managing oral healthcare information is outlined. Citation Heid DW, Chasteen J, Forrey AW. The Electronic Oral Health Record. J Contemp Dent Pract 2002 Feb;(3)1: 043-054.

2012 ◽  
Vol 30 (34_suppl) ◽  
pp. 309-309
Author(s):  
Alanna M. Poirier ◽  
Paul Nachowicz ◽  
Subhasis Misra

309 Background: The Pharmacy and Therapeutics committee at a regional cancer center is responsible to report and trend existing adverse drug reactions. The electronic health record did not have an option to document the history of an event or have an alert function if a medication was re-ordered. The frequency of documented adverse drug reactions did not correlate to what was being observed on the units with the use of a paper document. Methods: InAugust 2010 a Lean Six Sigma project was initiated to improve adverse drug reaction reporting. An adverse drug reaction document along with standard work instructions was completed by March 2011. A report was built in the electronic health record and a computer based learning module was created and rolled out to clinical staff by October 2011. Results: The turn-around time in days to document an adverse drug reaction in the patients chart decreased from 6.8 days to 0.7 days. The documented adverse drug reactions increased by 37%; verified by the use of supportive medications. Conclusions: The root cause for under-reporting was attributed to lack of knowledge, process, and automation. The history of an adverse drug reaction can now be viewed and an automatic alert is produced requiring physician acknowledgement decreasing the chance of repeated discomfort or harm to the patient. Adverse drug reaction documentation can be retrieved within 24 hours, analyzed, trended, and used for educational purposes to improve patient safety. [Table: see text]


Author(s):  
Jennifer Gholson ◽  
Heidi Tennyson

Regional Health made a commitment as part of quality and patient safety initiatives to have an electronic health record before the federal government developed the concept of “meaningful use.” The “One System of Care, One Electronic Chart” concept was a long-term goal of their organization, accomplished through electronically sharing a patient’s medical record among Regional Health’s five hospitals and other area health care facilities. Implementing a hybrid electronic record using a scanning and archiving application was the first step toward the long-term goal of an electronic health record. The project was successfully achieved despite many challenges, including some limited resources and physician concerns.


2015 ◽  
pp. 1052-1063
Author(s):  
Jennifer Gholson ◽  
Heidi Tennyson

Regional Health made a commitment as part of quality and patient safety initiatives to have an electronic health record before the federal government developed the concept of “meaningful use.” The “One System of Care, One Electronic Chart” concept was a long-term goal of their organization, accomplished through electronically sharing a patient's medical record among Regional Health's five hospitals and other area health care facilities. Implementing a hybrid electronic record using a scanning and archiving application was the first step toward the long-term goal of an electronic health record. The project was successfully achieved despite many challenges, including some limited resources and physician concerns.


2016 ◽  
Vol 40 (5) ◽  
pp. 277-280 ◽  
Author(s):  
Jonathan Richardson ◽  
Joe McDonald

SummaryThe move to a digital health service may improve some components of health systems: information, communication and documentation of care. This article gives a brief definition and history of what is meant by an electronic health record (EHR). There is some evidence of benefits in a number of areas, including legibility, accuracy and the secondary use of information, but there is a need for further research, which may need to use different methodologies to analyse the impact an EHR has on patients, professionals and providers.


2016 ◽  
Vol 23 (3) ◽  
pp. 532-537 ◽  
Author(s):  
Rajiv B Kumar ◽  
Nira D Goren ◽  
David E Stark ◽  
Dennis P Wall ◽  
Christopher A Longhurst

The diabetes healthcare provider plays a key role in interpreting blood glucose trends, but few institutions have successfully integrated patient home glucose data in the electronic health record (EHR). Published implementations to date have required custom interfaces, which limit wide-scale replication. We piloted automated integration of continuous glucose monitor data in the EHR using widely available consumer technology for 10 pediatric patients with insulin-dependent diabetes. Establishment of a passive data communication bridge via a patient’s/parent’s smartphone enabled automated integration and analytics of patient device data within the EHR between scheduled clinic visits. It is feasible to utilize available consumer technology to assess and triage home diabetes device data within the EHR, and to engage patients/parents and improve healthcare provider workflow.


2017 ◽  
Vol 3 (2) ◽  
pp. 58-62
Author(s):  
Jaclyn Schwartz ◽  
Mansi Somaiya ◽  
Chelsea Cosner ◽  
Adriana Foster

2013 ◽  
Vol 31 (31_suppl) ◽  
pp. 246-246
Author(s):  
Laura M. Miller ◽  
Bridgette Heard ◽  
Kendall Howard ◽  
Pankaj Kumar

246 Background: Meaningful Use is a government program that encourages providers to use an electronic health record (EHR) for QI. The goals of MU are to have complete and accurate information in the patient’s electronic record and share that information with other care providers to improve the quality of patient care and avoid duplication of services. The MU program is divided into 3 stages. Providers can earn incentive bonuses for successfully reporting on MU criteria set forth by CMS. There are incentive bonuses for each year until 2015 when penalties for non-reporting are assessed. Stage I has 20 criteria to report on with thresholds for 11 of the criteria. In stage II and III those thresholds will increase. When using an EHR, user efficiency is particularly important. Our goal was to collect MU data by facilitating efficient workflow and taking the documentation burden off the providers. Methods: We identified the MU criteria that required data collection. Some criteria required one time patient data; others involved collecting data at each patient visit. Committees were formed. Processes and responsible staff were identified. We customized features in our EHR to maximize efficiency for the staff collecting the data. We used reports to audit compliance with data collection. Results: We successfully met and reported all 20 Meaningful Use criteria for 16 providers in 2012 and are on track to meet all criteria again in 2013. 11 criteria had measureable thresholds. The average threshold for the 11 measures is 54.5%; our average for the 16 providers for those 11 measures is 86.8%. We collected $288,000 in incentive money for 2013. Since most of the data collection is done by staff, physician documentation is minimal. Conclusions: Customization of EHR allowed us to collect MU data efficiently, obtain the financial incentive in 2012 and helped us get ready for stage II of data collection.


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