Analysis of Gaze Information Patterns of Nurses Gathering Patient Information Using Electronic Health Records

2021 ◽  
Author(s):  
Miki Takami ◽  
Eiko Nishiumi ◽  
Eiko Nakanishi ◽  
Kyoko Ishigaki
Keyword(s):  
Electronic Health Records ◽  
Electronic Health Record ◽  
Patient Information ◽  
Information Gathering ◽  
Health Record ◽  
Eye Tracker ◽  
Health Records ◽  
The Gaze ◽  
Information Patterns ◽  
Electronic Health

The objective of this study was to clarify gaze information patterns of nurses gathering patient information using electronic health records. We recorded the electronic health record screen on which nurses’ gazes were presented using an eye tracker and analyzed the recorded images. The analysis revealed two types of gaze information patterns of nurses engaged in patient information gathering. However, no regularity was observed in the gaze information patterns of the nurses viewing the electronic health record sections after selecting a patient.

scholarly journals Identification of Master Patient Index Record Challenges from Healthcare Professionals’ Perspectives

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
J Lintz
Keyword(s):  
Electronic Health Records ◽  
Electronic Health Record ◽  
Patient Information ◽  
Healthcare Professionals ◽  
Health Record ◽  
Healthcare Organizations ◽  
Health Records ◽  
Electronic Health ◽  
Revenue Cycle ◽  
Master Patient Index

Abstract Background A Master Patient Index (MPI) system is essentially a database that is built into an Electronic Health Record (EHR) system to maintain a unique identifier for each patient seen at the organizational or enterprise level. The current study is to identify the gaps between the revenue cycle and patient information functionalities used in Electronic Health Records (EHRs) in collecting and reporting patient information. Additional focus was on perceptions of healthcare professionals who are familiar with MPI systems on the impact of these gaps of ensuring maximum reimbursements and adequacy of services provided. The study also sought to glean their perceptions vis-a-vis key challenges in the EHRs that affect organizational workflow. Methods A semi-structured questionnaire was used to collect information from healthcare professionals responsible for the MPI. The population studied is healthcare organizations using EPIC as the Electronic Health Records (EHRs). Results This study confirmed systems gaps between EPIC and other downstream systems used by the healthcare organizations to process patient information, as well as the extent of patient matching challenges that healthcare professionals have encountered in the MPI. These challenges include varying methods of matching patient data; lack of data standardization; absence of policies and procedures; frequently changing demographic data; multiple required data points needed for record matching; and default and null values in key-identifying fields. Conclusions The study offered evidence found in the literature that implies that duplicate records continue to plague healthcare organizations. Widespread technological interoperability insufficiency among healthcare facilities points to future challenges for federal policy makers as they seek to promote interoperability programs to demonstrate meaningful use of certified electronic health record technology (CEHRT). Key messages The study confirmed that despite a low level of duplication in the MPI, the organizations have lost revenue during the last 6 months. Duplicate records in the EHR systems has led to downstream problems in the revenue cycle, including denials and insurance takebacks that impact hospital revenue cycle efficiency.

Clinical Summarization Capabilities of Commercially-available and Internally-developed Electronic Health Records

2012 ◽  
Vol 03 (01) ◽  
pp. 80-93
Author(s):  
A.B. McCoy ◽  
A. Wright ◽  
D.F. Sittig ◽  
A. Laxmisan
Keyword(s):  
Electronic Health Records ◽  
Electronic Health Record ◽  
Conceptual Model ◽  
Clinical Data ◽  
Patient Information ◽  
Point Of Care ◽  
Health Record ◽  
Health Records ◽  
Clinical Content ◽  
Electronic Health

Summary Objective: Clinical summarization, the process by which relevant patient information is electronically summarized and presented at the point of care, is of increasing importance given the increasing volume of clinical data in electronic health record systems (EHRs). There is a paucity of research on electronic clinical summarization, including the capabilities of currently available EHR systems. Methods: We compared different aspects of general clinical summary screens used in twelve different EHR systems using a previously described conceptual model: AORTIS (Aggregation, Organization, Reduction, Interpretation and Synthesis). Results: We found a wide variation in the EHRs’ summarization capabilities: all systems were capable of simple aggregation and organization of limited clinical content, but only one demonstrated an ability to synthesize information from the data. Conclusion: Improvement of the clinical summary screen functionality for currently available EHRs is necessary. Further research should identify strategies and methods for creating easy to use, well-designed clinical summary screens that aggregate, organize and reduce all pertinent patient information as well as provide clinical interpretations and synthesis as required.

Electronic Health Records Implementation in Jordan: Perceptions of Healthcare Providers and Determinant Factors (Preprint)

2020 ◽  
Author(s):  
Tamadur Shudayfat ◽  
Çağdaş Akyürek ◽  
Noha Al-Shdayfat ◽  
Hatem Alsaqqa
Keyword(s):  
Electronic Health Records ◽  
Electronic Health Record ◽  
Technology Acceptance ◽  
Technology Acceptance Model ◽  
Healthcare Providers ◽  
Health Record ◽  
Health Records ◽  
Context Factors ◽  
Electronic Health ◽  
Acceptance Model

BACKGROUND Acceptance of Electronic Health Record systems is considered an essential factor for an effective implementation among the Healthcare providers. In an attempt to understand the healthcare providers’ perceptions on the Electronic Health Record systems implementation and evaluate the factors influencing healthcare providers’ acceptance of Electronic Health Records, the current research examines the effects of individual (user) context factors, and organizational context factors, using Technology Acceptance Model. OBJECTIVE The current research examines the effects of individual (user) context factors, and organizational context factors, using Technology Acceptance Model. METHODS A quantitative cross-sectional survey design was used, in which 319 healthcare providers from five public hospital participated in the present study. Data was collected using a self-administered questionnaire, which was based on the Technology Acceptance Model. RESULTS Jordanian healthcare providers demonstrated positive perceptions of the usefulness and ease of use of Electronic Health Record systems, and subsequently, they accepted the technology. The results indicated that they had a significant effect on the perceived usefulness and perceived ease of use of Electronic Health Record, which in turn was related to positive attitudes towards Electronic Health Record systems as well as the intention to use them. CONCLUSIONS User attributes, organizational competency, management support and training and education are essential variables in predicting healthcare provider’s acceptance toward Electronic Health records. These findings should be considered by healthcare organizations administration to introduce effective system to other healthcare organizations.

scholarly journals Pilot Study of Meaningful Use of Electronic Health Records in Radiation Oncology

2012 ◽  
Vol 8 (4) ◽  
pp. 219-223 ◽  
Author(s):  
Xinglei Shen ◽  
Adam P. Dicker ◽  
Laura Doyle ◽  
Timothy N. Showalter ◽  
Amy S. Harrison ◽  
...  
Keyword(s):  
Pilot Study ◽  
Electronic Health Records ◽  
Electronic Health Record ◽  
Radiation Oncology ◽  
Meaningful Use ◽  
Health Record ◽  
Health Records ◽  
Widespread Adoption ◽  
Electronic Health

Most large academic radiation oncology practices have incorporated electronic health record systems into practice and plan to meet meaningful use requirements. Further work should focus on needs of smaller practices, and specific guidelines may improve widespread adoption.

Electronic Health Record System using Blockchain

2019 ◽  
Vol 1 (2) ◽  
pp. 57-61
Author(s):  
Sangeetha R ◽  
Harshini B ◽  
Shanmugapriya A ◽  
Rajagopal T.K.P.
Keyword(s):  
Electronic Health Records ◽  
Electronic Health Record ◽  
Family Health ◽  
Health Record ◽  
Medical Organization ◽  
Record System ◽  
Health Records ◽  
Related Information ◽  
Health Related ◽  
Electronic Health

This paper deals with the Electronic Health Records for storing information of the patient which consist of the medical reports. Electronic Health Records (EHRs) are entirely controlled by Hospitals instead of patients, which complicates seeking medical advices from different hospitals. In the existing system of storing details of the patients are very dependent on the servers of the organization. In the proposed all the information of the patient are stored in the blockchain by using the Metamask and these details are stored in the block chain as a blocks of data. Each block consists of the data which is encrypted data. Electronic Health Record (EHR) systems record health-related information on an individual so that it can be consulted by clinicians or staff for patient care. The data is encrypted by the algorithm known as SHA-256 which is used to encrypt all the data of the patients into a single line 256 bit encrypted text which will be stored in the block at etherscan. These records for not only useful for the consultation but also for creation of historic family health information tree that keeps track of genetic health issues and diseases it can also be used for any health service with the authorization from both the patient and medical organization.

scholarly journals Phenotyping issues for exploring electronic health records to design clinical trials

2020 ◽  
Vol 17 (4) ◽  
pp. 402-404
Author(s):  
Jill Schnall ◽  
LingJiao Zhang ◽  
Jinbo Chen
Keyword(s):  
Clinical Trials ◽  
Electronic Health Records ◽  
Electronic Health Record ◽  
Statistical Methods ◽  
Gold Standard ◽  
The Other ◽  
Health Record ◽  
Health Records ◽  
Electronic Health ◽  
Downstream Analysis

For utilizing electronic health records to help design and conduct clinical trials, an essential first step is to select eligible patients from electronic health records, that is, electronic health record phenotyping. We present two novel statistical methods that can be used in the context of electronic health record phenotyping. One mitigates the requirement for gold-standard control patients in developing phenotyping algorithms, and the other effectively corrects for bias in downstream analysis introduced by study samples contaminated by ineligible subjects.

scholarly journals From screening to ascertainment of the primary outcome using electronic health records: Challenges in the STRIDE trial

2020 ◽  
Vol 17 (4) ◽  
pp. 346-350
Author(s):  
Denise Esserman
Keyword(s):  
Electronic Health Records ◽  
Electronic Health Record ◽  
Health Care Systems ◽  
Health Record ◽  
Electronic Health Record Data ◽  
Health Records ◽  
Record Data ◽  
Care Systems ◽  
Electronic Health ◽  
Data Elements

Electronic health record data are a rich resource and can be utilized to answer a wealth of research questions. It is important when using electronic health record data in clinical trials that systems be put in place and vetted prior to enrollment to ensure data elements can be collected consistently across all health care systems. It is often overlooked how something conceptualized on paper (e.g. use of the electronic health record in a study) can be difficult to implement in practice. This article discusses some of the challenges in using electronic health records in the conduct of the STRIDE (Strategies to Reduce Injuries and Develop Confidence in Elders) trial, how we handled those challenges, and the lessons we learned for the conduct of future trials looking to employ the electronic health record.

Professional fission in medical routines: medical scribes and physicians in two US hospital departments

2020 ◽  
Author(s):  
Ann L Bryan ◽  
John C Lammers
Keyword(s):  
Electronic Health Records ◽  
Electronic Health Record ◽  
Community Hospital ◽  
Health Record ◽  
Health Departments ◽  
Health Records ◽  
The Us ◽  
Electronic Health ◽  
Medical Scribes ◽  
Digestive Health

Abstract In this study we argue that professionalism imposed from above can result in a type of fission, leading to the ambiguous emergence of new occupations. Our case focuses on the US’ federally mandated use of electronic health records and the increased use of medical scribes. Data include observations of 571 patient encounters across 48 scribe shifts, and 12 interviews with medical scribes and physicians in the ophthalmology and digestive health departments of a community hospital. We found substantial differences in scribes’ roles based on the pre-existing routines within each department, and that scribes developed agency in the interface between the electronic health record and the physicians’ work. Our study contributes to work on occupations as negotiated orders by drawing attention to external influences, the importance of considering differences across professional task routines, and the personal interactions between professional and technical workers.

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