scholarly journals Integrating Patient-Generated Health Data in an Electronic Medical Record: Stakeholders’ Perspectives

2020 ◽  
Author(s):  
Katherine Blondon ◽  
Frederic Ehrler
Keyword(s):  
Patient Safety ◽  
Quality Of Care ◽  
Focus Group ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Health Data ◽  
Improve Quality

Patient-generated health data (PGHD), when shared with the provider, provides potential as an approach to improve quality of care. Based on interviews and a focus group with stakeholders involved in PGHD integration in the electronic medical record (EMR), we explore the benefits, barriers and possible risks. We propose solutions to address liability concerns, such as clarifying patient and provider expectations for the analyses of PGHD and emphasize considerations for future steps, which include the need to screen PGHD for patient safety.

The Use of Bedside Electronic Medical Record to Improve Quality of Care in Nursing Facilities

2010 ◽  
pp. 1 ◽  
Author(s):  
MARILYN J. RANTZ ◽  
GREG ALEXANDER ◽  
COLLEEN GALAMBOS ◽  
MARCIA K. FLESNER ◽  
AMY VOGELSMEIER ◽  
...  
Keyword(s):  
Quality Of Care ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Improve Quality ◽  
Nursing Facilities

Improving patient safety: Utilization of standardized radiation oncology simulation templates.

2018 ◽  
Vol 36 (30_suppl) ◽  
pp. 259-259
Author(s):  
Ashlyn S. Everett ◽  
Ginna Blalock ◽  
Drexell Hunter Boggs
Keyword(s):  
Patient Safety ◽  
Quality Of Care ◽  
Radiation Oncology ◽  
Treatment Guidelines ◽  
Error Rates ◽  
Cancer Site ◽  
Improve Quality ◽  
Clinic Efficiency ◽  
Ct Simulation

259 Background: Increasing patient volume and treatment complexity in the field of radiation oncology has resulted in increased number of errors possibly affecting patient safety. Effective methods of mitigating these errors include automation, computerization, simplification, and standardization. To improve quality of care and patient safety, our institution established consensus standardized treatment guidelines for each cancer site. However, physician orders for computed tomography (CT) simulation for radiation treatment planning continued to have extreme variability, with error rates of 31%. Therefore, a team was assembled to devise standardized orders to reduce error, improve patient safety, and improve quality of care in the CT simulation order process. Methods: For this study, we investigated 3 commonly treated sites at our institution: breast (14%), prostate (7%), and brain metastases treated with radiosurgery (14%). A standardized template CT simulation order was defined for each disease site using the consensus treatment guidelines. These orders were integrated into the electronic medical record (EMR) on March 5, 2018. To evaluate the efficacy of the intervention, CT simulation order data were queried for the two-month period before and after implementation of standardized template orders. Orders with variation from the treatment guidelines were counted to calculate error rates with and without standardized simulation orders. Results: In the two-months prior to implementation of the standardized order templates, 48 of 151 (31%) CT simulation orders for the three selected sites had variation from the consensus standardized orders. After implementation of the EMR standardized template, 17 of 129 simulation orders (13%) in the three selected sites had variations from the standard during this two-month period. Standardization of CT simulation orders using an EMR template reduced error rates from 31% to 13% (18% absolute reduction; 42% relative reduction). Conclusions: Simplification and standardization of CT simulation orders decreased error rates by 42%, thereby improving clinic efficiency and appropriate patient treatment.

scholarly journals Prescription for antibiotics at drug shops and strategies to improve quality of care and patient safety: a cross-sectional survey in the private sector in Uganda

BMJ Open ◽  
2016 ◽  
Vol 6 (3) ◽  
pp. e010632 ◽  
Author(s):  
Anthony K Mbonye ◽  
Esther Buregyeya ◽  
Elizeus Rutebemberwa ◽  
Siân E Clarke ◽  
Sham Lal ◽  
...  
Keyword(s):  
Patient Safety ◽  
Quality Of Care ◽  
Private Sector ◽  
Improve Quality ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Drug Shops

scholarly journals Improvement of patient safety through implementation of electronic medical records

2017 ◽  
Vol 1 (4) ◽  
pp. 111-112
Author(s):  
Elahe Gozali ◽  
Marjan Ghazisaiedi ◽  
Malihe Sadeghi ◽  
Reza Safdari
Keyword(s):  
Patient Safety ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Electronic Medical Records ◽  
Medical Records ◽  
Access To Health Care ◽  
Clinical Care ◽  
Drug Management ◽  
Bar Code

Introduction: Today, with the complexity of the process of conducting activities, the increase in diversity and the number of hospital services, and the increase in the expectations of clients - consistent with the fast technological advances - most of the hospitals in Iran have turned to mechanized systems to organize their daily activities and to register the patients' information and the care provided. One of these technologies is electronic medical records, which is known as a valuable system to evaluate patients' information in hospitals. The purpose of this paper was to examine the advantages of running electronic medical records in patient safety. Methods: This study is a review paper based on a structured review of papers published in the Google Scholar, SID, Magiran, Pubmed, and Science Direct databases (from 2007 to 2015) and the books on the benefits of implementing electronic medical records in patient safety and the related keywords. Results: Clinical information systems can have a significant effect on the quality of the outputs and patient safety. Various studies have indicated that the physicians with access to clinical guidelines and features such as computer reminders, doctors who did not have these features, presented more appropriate preventive care. Studies show that electronic medical records play a crucial role in improving the quality of patient health and safety services. Moreover, electronic medical record system is usually in connection with other technological tools: electronic drug management records,  electronic record of time and date of drug management are usually associated with bar code technology. Among the benefits of this system is the possibility to record clinical care by the treatment team, which would be especially beneficial for patient's bedside record. If the treatment personnel forgets to ask the patient a particular question, system reminds him/her. Furthermore, electronic medical record is able to remind the nurses of the patient's allergic reactions and medical history without the need for the patient to remind, which improves patient safety. Conclusion: Implementation of electronic medical records boosts up the quality of health services, patient safety, people's access to health care services, and the speed of patients treatment, leading to lower healthcare costs. Thus, considering the benefits mentioned and some other benefits of this kind, one can use this technology in clinical care provided to patients to come up with a safe and effective clinical care.

What is needed to improve quality of care for patients with advanced cancer? Results of focus group discussions with staff

2001 ◽  
Vol 37 ◽  
pp. S383 ◽  
Author(s):  
C. Tishelman ◽  
L. Backman ◽  
B. Bernhardson ◽  
E. Johansson ◽  
S. Borjeson ◽  
...  
Keyword(s):  
Quality Of Care ◽  
Focus Group ◽  
Advanced Cancer ◽  
Improve Quality ◽  
Focus Group Discussions ◽  
Group Discussions

Identifying individuals with multiple sclerosis in an electronic medical record

2014 ◽  
Vol 21 (2) ◽  
pp. 217-224 ◽  
Author(s):  
Kristen M Krysko ◽  
Noah M Ivers ◽  
Jacqueline Young ◽  
Paul O’Connor ◽  
Karen Tu
Keyword(s):  
Primary Care ◽  
Quality Of Care ◽  
Medical Record ◽  
Electronic Medical Record ◽  
Primary Care Physicians ◽  
Policy Makers ◽  
Patient Profile ◽  
Physician Billing ◽  
Chart Abstraction

Background: The increasing use of electronic medical records (EMRs) presents an opportunity to efficiently evaluate and improve quality of care for individuals with MS. Objectives: We aimed to establish an algorithm to identify individuals with MS within EMRs. Methods: We used a sample of 73,003 adult patients from 83 primary care physicians in Ontario using the Electronic Medical Record Administrative data Linked Database (EMRALD). A reference standard of 247 individuals with MS was identified through chart abstraction. The accuracy of identifying individuals with MS in an EMR was assessed using information in the cumulative patient profile (CPP), prescriptions and physician billing codes. Results: An algorithm identifying MS in the CPP performed well with 91.5% sensitivity, 100% specificity, 98.7% PPV and 100% NPV. The addition of prescriptions for MS-specific medications and physician billing code 340 used four times within any 12-month timeframe slightly improved the sensitivity to 92.3% with a PPV of 97.9%. Conclusions: Data within an EMR can be used to accurately identify patients with MS. This study has positive implications for clinicians, researchers and policy makers as it provides the potential to identify cohorts of MS patients in the primary care setting to examine quality of care.

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