scholarly journals Assessing the Usability of Medication Information Layouts in a Home Healthcare Electronic Health Record

2020 ◽  
Vol 9 (1) ◽  
pp. 183-185
Author(s):  
Elease McLaurin ◽  
Ellen J. Bass ◽  
Kathryn H. Bowles ◽  
Paulina Sockolow
Keyword(s):  
Electronic Health Record ◽  
Patient Information ◽  
Home Healthcare ◽  
Healthcare Team ◽  
Shared Understanding ◽  
Health Record ◽  
Team Members ◽  
Related Information ◽  
Medication Information ◽  
Electronic Health

A study was conducted to investigate how well the design of an electronic health record (EHR) supported the shared understanding of medication-related information between home healthcare team members. EHR data from a home healthcare admission visit was obtained and reviewed for medication-related entries. Entries were characterized based on their location within the EHR interface. The analysis identified 50 different medication-related entries which were distributed across 18 EHR sections. The results highlight opportunities to improve the EHR design to better support a shared understanding between healthcare team members of medication-related information, and patient information more generally.

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.

User Authentication Into Electronic Health Record Based on Reliable Lightweight Algorithms

2021 ◽  
pp. 700-738
Author(s):  
Mishall Al-Zubaidie ◽  
Zhongwei Zhang ◽  
Ji Zhang
Keyword(s):  
Electronic Health Record ◽  
Experimental Analysis ◽  
Elliptic Curve Cryptography ◽  
Hash Function ◽  
User Authentication ◽  
Health Record ◽  
Patient Records ◽  
Related Information ◽  
Authentication Schemes ◽  
Electronic Health

Supporting a mechanism to authenticate members in electronic health record (EHR) is a fundamental procedure to prevent different threats from penetrating patients' identities/data. Existing authentication schemes still suffer from security drawbacks. Exchanging medical-related information/data between clients and the servers leaves them compromised to breakthrough by intruders as they can transmit over an unreliable environment. To guarantee the protection of patient records, this chapter proposes a new scheme that provides authentication of patients/providers in EHR depending on the legitimate member identities and the device information. The scheme utilizes an elliptic curve cryptography and lightweight hash function to accomplish robust security with satisfying performance. Moreover, it depends on a set of techniques such as multi-pseudonyms to authenticate legitimate members. Additionally, concentrated theoretical and experimental analysis proves that the proposed provides elevated performance and security compared to existing research.

scholarly journals Capturing health literacy assessment in the electronic health record through evidence-based concept creation: A review of the literature and recommendations for action

2017 ◽  
Vol 25 (3) ◽  
pp. 1025-1037 ◽  
Author(s):  
Ruth E Wetta ◽  
Roberta D Severin ◽  
Heidi Gruhler ◽  
Nate Lewis
Keyword(s):  
Health Literacy ◽  
Electronic Health Record ◽  
Healthcare Team ◽  
Assessment Instruments ◽  
Health Record ◽  
Literacy Assessment ◽  
Adequate Health Literacy ◽  
Published Evidence ◽  
Recommendations For Action ◽  
Electronic Health

Health literacy is the capacity to understand and act upon health-related information and navigate the healthcare system. Published evidence demonstrates a relationship between health literacy and health status. Because of this, there are increasingly calls for a health literacy assessment to be collected and stored in the electronic health record for use by the healthcare team. This article describes the results of a literature review of health literacy assessment instruments with the goal of formulating semantically interoperable concepts that may be used to store the interpretation of the health literacy assessment in the electronic health record. The majority of health literacy instruments could be stored in the electronic health record using a three-concept solution of inadequate, marginal and adequate health literacy. This three-concept solution fully supports semantic interoperability needs across the patient care spectrum.

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.

scholarly journals All Health Technology Requires Compassion, Collaboration, and Humanism for Optimal Care

2018 ◽  
Author(s):  
Richard I. Levin ◽  
Brianne Warner Alcala
Keyword(s):  
Electronic Health Record ◽  
Team Member ◽  
Eye Contact ◽  
Health Technology ◽  
Healthcare Team ◽  
Health Record ◽  
Optimal Care ◽  
Knowing That ◽  
Electronic Health

Imagine an appointment with a new patient. She’s waiting, fidgeting, looking down at her lap. You say hello, introduce yourself, and sit behind the computer. You enter key details into the EHR (electronic health record) as the appointment goes along. “Tell me why you’re here today,” you say. You try listening, but menus keep popping up. The patient launches into her complaints, knowing that time is limited. You type as fast as you can to keep up. Soon, it has been 10 minutes, and you need to wrap things up and move on to the next patient. Did you feel connected to the patient? Did she feel connected to you? Perhaps neither of you made eye contact. Both of you might have left the appointment feeling unsatisfied and unsettled. To feel connected to a patient requires more than being in the same room. In fact, being in the same room may not be essential. Connecting with a patient or another healthcare team member requires humanism—the simple act of being human—and the deliberate acts that accompany it. For those working in telehealth, creating a bond with a patient can be a bit different but no less important or possible than in a physical room.

scholarly journals Search Functionality Within the Electronic Health Record and Health Information Exchange Databases

2020 ◽  
Vol 3 ◽  
Author(s):  
Brandon Gregory ◽  
Jordan Hill ◽  
Titus Schleyer
Keyword(s):  
Electronic Health Record ◽  
Health Information ◽  
Patient Information ◽  
Information Exchange ◽  
Health Information Exchange ◽  
Healthcare Delivery ◽  
Healthcare Providers ◽  
Health Record ◽  
Search Function ◽  
Electronic Health

Background and Hypothesis:  In the US today, over 95% of healthcare institutions operate using the electronic health record (EHR). While proven to be a substantial improvement to medical practice, the substantial amount of retained information within those records has made searching the EHR for relevant material difficult and too time consuming. We hypothesize that by providing a search function within the EHR with added capability of collaborative filtration, physicians will be better able to retrieve important patient information and thus provide more efficient care.     Project Methods:   Emergency Department physicians of Sidney & Lois Eskenazi Hospital and Indiana University Health Hospital were recruited to partake in this study based on their use and familiarity of the EHR Cerner and/or Health Information Exchange (HIE) CareWeb Search function. Participants filled out a pre-interview, Likert-scale questionnaire to determine their general impressions of search functions and the frequency with which they were used. Additional insight was obtained during an interview focusing on participants’ previous experiences searching within the EHR/HIE. Participants were then shown a mock-up of potential collaborative filtering integration into CareWeb in order to collect opinions regarding the feature’s usability/practicality, display/format, and a number of suggested terms.    Results:   From the pilot study, current challenges that limit clinician search function use include limited time in clinician workflow, information overload, and inaccurate results. Clinicians are more likely to conduct searches when treating patients who have limited medical history, complex histories, known recent visitations, and/or who have been seen at other institutions. Participants demonstrated interest in a collaborative filtration search feature; they expressed a preference to have the feature recommend five related search terms.    Potential Impact:   The data from this study aims to refine the way healthcare providers search within the EHR/HIE. This will allow healthcare providers to more efficiently extract relevant patient information for improved healthcare delivery and proficient clinician workflow. 

An Analysis of Electronic Health Record Work to Manage Asynchronous Clinical Messages among Breast Cancer Care Teams

2021 ◽  
Vol 12 (04) ◽  
pp. 877-887
Author(s):  
Bryan D. Steitz ◽  
Kim M. Unertl ◽  
Mia A. Levy
Keyword(s):  
Breast Cancer ◽  
Electronic Health Record ◽  
Cancer Care ◽  
Medical Center ◽  
Asynchronous Communication ◽  
Care Team ◽  
Health Record ◽  
Breast Cancer Care ◽  
Team Members ◽  
Electronic Health

Abstract Objective Asynchronous messaging is an integral aspect of communication in clinical settings, but imposes additional work and potentially leads to inefficiency. The goal of this study was to describe the time spent using the electronic health record (EHR) to manage asynchronous communication to support breast cancer care coordination. Methods We analyzed 3 years of audit logs and secure messaging logs from the EHR for care team members involved in breast cancer care at Vanderbilt University Medical Center. To evaluate trends in EHR use, we combined log data into sequences of events that occurred within 15 minutes of any other event by the same employee about the same patient. Results Our cohort of 9,761 patients were the subject of 430,857 message threads by 7,194 employees over a 3-year period. Breast cancer care team members performed messaging actions in 37.5% of all EHR sessions, averaging 29.8 (standard deviation [SD] = 23.5) messaging sessions per day. Messaging sessions lasted an average of 1.1 (95% confidence interval: 0.99–1.24) minutes longer than nonmessaging sessions. On days when the cancer providers did not otherwise have clinical responsibilities, they still performed messaging actions in an average of 15 (SD = 11.9) sessions per day. Conclusion At our institution, clinical messaging occurred in 35% of all EHR sessions. Clinical messaging, sometimes viewed as a supporting task of clinical work, is important to delivering and coordinating care across roles. Measuring the electronic work of asynchronous communication among care team members affords the opportunity to systematically identify opportunities to improve employee workload.

scholarly journals A system architecture for ensuring interoperability in a South African national electronic health record system

2021 ◽  
Vol 33 (1) ◽  
Author(s):  
Tamir Tsegaye ◽  
Stephen Flowerday
Keyword(s):  
Electronic Health Record ◽  
South African ◽  
Patient Information ◽  
System Architecture ◽  
Healthcare Delivery ◽  
Electronic Record ◽  
Health Record ◽  
Record System ◽  
System Architectures ◽  
Electronic Health

ountries such as South Africa have attempted to leverage eHealth by digitising patients' medical records with the aim of improving the delivery of healthcare. This involves the use of an electronic health record (EHR) which is a longitudinal electronic record of a patient's information. The EHR includes all the patient's encounters that have been made with different health facilities. In the national context, the EHR is also known as a national EHR, which enables the sharing of patient information between points of care. However, a lack of interoperability exists between many South African health information systems making communication between these disparate systems impossible. As a result, the sharing of patient information is inhibited and the benefit of improving healthcare delivery cannot be realised. This paper proposes a system architecture for addressing interoperability challenges and indicates how interoperability can be ensured in a national EHR system. The proposed system architecture is differentiated from other national EHR system architectures found in the literature in order to emphasise its novelty. Secondary data obtained from a systematic literature review was analysed using content analysis, resulting in 9482 tags which informed the development of the proposed system architecture.

Current Disaster Medicine in Japan and the Change Brought by Information Sharing

2019 ◽  
Vol 14 (2) ◽  
pp. 292-302
Author(s):  
Yuji Kondo ◽  
Manabu Ichikawa ◽  
Hisayoshi Kondo ◽  
Yuichi Koido ◽  
Yasuhiro Otomo ◽  
...  
Keyword(s):  
Electronic Health Record ◽  
Information Sharing ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Patient Information ◽  
Medical Information ◽  
Disaster Medicine ◽  
Cloud System ◽  
Health Record ◽  
Electronic Health

The biggest agenda in disaster medicine in Japan is considered as the collection and sharing of information. Sharing Information Platform for Disaster Management (SIP4D) is the platform that can connect the information system of each government agency in the event of a disaster. The purpose of the present study is to clarify the damage estimation in a Disaster Medical Assistance Team (DMAT) operation, information sharing within headquarters for disaster control, information for the level of damage in hospital, conditions for a DMAT dispatch request, safest route to reach the operation site, and improvements in patient medical information sharing and to assess the utility of introducing electronic health record by SIP Disaster Resilience: Theme 4. We used the information of SIP4D and Health Crisis and Risk Information Supporting Internet system (H-CRISIS) assistance to clarify the variables. We also examined the utility of using an electronic medical record system at the time of a disaster via creating a patient evacuation medical record cloud system in a 2016 Large-scale disaster drill. We requested Staging Care Unit (SCU) members to enter patient information by using a tablet. In SCUs that were outside the afflicted area, we browsed the electronic medical record on the cloud system and compared the time to send patient information using an electronic medical record in SCU to the time to send the same without using an electronic medical record and examined the superiority of the operation. In the statistical analysis, we used the Wilcoxon rank-sum test by MEPHAS. The significance level was set as P < 0.01. Based on the information for personnel damage estimation through SIP4D, the damage estimates are compiled for each prefecture, secondary medical zone, municipality, and school district. Additionally, it is possible to compile the number of predictive and serious patients per disaster hospital and to display it as a WEB service via the geographic information system (GIS). The information in the headquarters for disaster control is shared and visualized on the map, and thus, it is possible to use common information in each section. Furthermore, hospital damage situation, DMAT dispatch conditions, access route, and safety can also be visualized on the map. With respect to the usefulness of introducing an electronic health record at the time of a disaster, the median time to transfer medical information corresponded to 23.5 min in the group that used electronic health records (8 cases) and 41 min in the group that did not use electronic health records (8 cases). The results indicated a significantly shortened time in the group that used the electronic health record (P = 0.0073). It is ideal to estimate the number of patients and hospital damage from information that can grasp the scale of the disaster, such as intensity of an earthquake, set up appropriate headquarters, calculate the required number of DMATs, and instantaneously determine dispatch means and safety routes accordingly. Furthermore, patient information is digitalized from the point of triage, linked to the medical chart for disaster, managed collectively, and entered into the cloud. It is desirable to share patient information across the country. Based on the medical needs predicted from the information, it is also desirable to calculate the appropriate destination and means of transporting the patient in line with the actual damage situation such as infrastructure and road information. Another goal involves building a system that can calculate the aforementioned measures by using artificial intelligence. SIP4D is recognized as useful in terms of the integration and sharing of disaster information, damage situation, and hazard information gathering. It is assumed that SIP4D will lead to a major change in the existing DMAT operation regime. Additionally, the creation of an electronic medical record at the time of disaster and sharing it on the cloud system decreases the time of handover of a patient’s medical information when medical evacuation to a remote place occurs. It is expected that this can aid in improving the efficiency of the medical support team, and thereby, reduce preventable disaster deaths.

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