scholarly journals Understanding of and Barriers to Electronic Health Record Patient Portal Access in a Culturally Diverse Pediatric Population

10.2196/11570 ◽  
2019 ◽  
Vol 7 (2) ◽  
pp. e11570
Author(s):  
Daniel J Miklin ◽  
Sameera S Vangara ◽  
Alan M Delamater ◽  
Kenneth W Goodman
Keyword(s):  
Electronic Health Record ◽  
Culturally Diverse ◽  
Pediatric Population ◽  
Health Record ◽  
Patient Portal ◽  
Electronic Health

scholarly journals Validation of a Novel Electronic Health Record Patient Portal Advance Care Planning Delivery System

2018 ◽  
Vol 20 (6) ◽  
pp. e208 ◽  
Author(s):  
Seuli Bose-Brill ◽  
Michelle Feeney ◽  
Laura Prater ◽  
Laura Miles ◽  
Angela Corbett ◽  
...  
Keyword(s):  
Electronic Health Record ◽  
Delivery System ◽  
Advance Care Planning ◽  
Health Record ◽  
Patient Portal ◽  
Care Planning ◽  
Advance Care ◽  
Electronic Health

scholarly journals Development of a Cancer Care Summary Through the Electronic Health Record

2016 ◽  
Vol 12 (2) ◽  
pp. e231-e240 ◽  
Author(s):  
Laurie L. Carr ◽  
Pearlanne Zelarney ◽  
Sarah Meadows ◽  
Jeffrey A. Kern ◽  
M. Bronwyn Long ◽  
...  
Keyword(s):  
Electronic Health Record ◽  
Cancer Care ◽  
Query Language ◽  
Primary Care Providers ◽  
Urgent Care ◽  
Health Record ◽  
Patient Portal ◽  
Care Providers ◽  
Improvement Project ◽  
Electronic Health

Introduction: Our objective was to improve communication concerning lung cancer patients by developing and distributing a Cancer Care Summary that would provide clinically useful information about the patient’s diagnosis and care to providers in diverse settings. Methods: We designed structured, electronic forms for the electronic health record (EHR), detailing tumor staging, classification, and treatment. To ensure completeness and accuracy of the information, we implemented a data quality cycle, composed of reports that are reviewed by oncology clinicians. The data from the EHR forms are extracted into a structured query language database system on a daily basis, from which the Summaries are derived. We conducted focus groups regarding the utility, format, and content of the Summary. Cancer Care Summaries are automatically generated 4 months after a patient’s date of diagnosis, then every 6 months for those receiving treatment, and on an as-needed basis for urgent care or hospital admission. Results: The product of our improvement project is the Cancer Care Summary. To date, 102 individual patient Summaries have been generated. These documents are automatically entered into the National Jewish Health (NJH) EHR, attached to correspondence to primary care providers, available to patients as electronic documents on the NJH patient portal, and faxed to emergency departments and admitting physicians on patient evaluation. Conclusion: We developed a sustainable tool to improve cancer care communication. The Cancer Care Summary integrates information from the EHR in a timely manner and distributes the information through multiple avenues.

scholarly journals Transition to a new electronic health record and pediatric medication safety: lessons learned in pediatrics within a large academic health system

2018 ◽  
Vol 25 (7) ◽  
pp. 848-854 ◽  
Author(s):  
Kimberly Whalen ◽  
Emily Lynch ◽  
Iman Moawad ◽  
Tanya John ◽  
Denise Lozowski ◽  
...  
Keyword(s):  
Electronic Health Record ◽  
Medication Safety ◽  
Pediatric Population ◽  
Care Center ◽  
Tertiary Care ◽  
Lessons Learned ◽  
Future Research ◽  
Health Record ◽  
Electronic Health ◽  
Roll Out

Abstract Objective While the electronic health record (EHR) has become a standard of care, pediatric patients pose a unique set of risks in adult-oriented systems. We describe medication safety and implementation challenges and solutions in the pediatric population of a large academic center transitioning its EHR to Epic. Methods Examination of the roll-out of a new EHR in a mixed neonatal, pediatric and adult tertiary care center with staggered implementation. We followed the voluntarily reported medication error rate for the neonatal and pediatric subsets and specifically monitored the first 3 months after the roll-out of the new EHR. Data was reviewed and compiled by theme. Results After implementation, there was a 5-fold increase in the overall number of medication safety reports; by the third month the rate of reported medication errors had returned to baseline. The majority of reports were near misses. Three major safety themes arose: (1) enterprise logic in rounding of doses and dosing volumes; (2) ordering clinician seeing a concentration and product when ordering medications; and (3) the need for standardized dosing units through age contexts created issues with continuous infusions and pump library safeguards. Conclusions Future research and work need to be focused on standards and guidelines on implementing an EHR that encompasses all age contexts.

scholarly journals Electronic Health Record Goes Personal World-wide

2009 ◽  
Vol 18 (01) ◽  
pp. 40-43 ◽  
Author(s):  
PS Lee ◽  
WS Jian ◽  
CH Kuo ◽  
YC Li
Keyword(s):  
Electronic Health Record ◽  
Content Standards ◽  
Health Record ◽  
Patient Portal ◽  
Consumer Empowerment ◽  
Privacy And Security ◽  
Healthcare Data ◽  
The World ◽  
Personal Use ◽  
Electronic Health

Summary Objective Increasing patient demand for convenient access to their own healthcare data has led to more personal use of the Electronic Health Record (EHR). With “consumer empowerment” being an important issue of EHR, we are seeing a more “patient-centric” approach of EHR from countries around the world. Researchers have reported on issues in EHR sharing including concerns on privacy and security, consumer empowerment, competition among providers, and content standards. This study attempts to analyze prior research and to synthesize comprehensive, empirically-based conceptual models of EHR for personal use. Methods We use “B2C(2B)” to represent this new behavior of EHR sharing and exchange, with “consumer” in the center stage. ResultsBased on different information sharing mechanisms, we summarized the “B2C(2B)” behavior into three models, namely, the Inexpensive data media model, the Internet patient portal model and the Personal portable device model. Models each have their own strengths and weaknesses in their ways to share patient data and to address privacy and security concerns. Conclusion Personal use of EHR under the B2C(2B) model does look promising based on our study. We started to observe a trend that governments around the world are embarking on related projects. With multiple stake-holders involved, we are only beginning to understand the complexity of such undertakings.

scholarly journals Potential of an Electronic Health Record-Integrated Patient Portal for Improving Care Plan Concordance during Acute Care

2019 ◽  
Vol 10 (03) ◽  
pp. 358-366 ◽  
Author(s):  
Anuj K. Dalal ◽  
Patricia Dykes ◽  
Lipika Samal ◽  
Kelly McNally ◽  
Eli Mlaver ◽  
...  
Keyword(s):  
Electronic Health Record ◽  
Acute Care ◽  
Transitions Of Care ◽  
Care Plan ◽  
Health Record ◽  
Patient Portal ◽  
Intention To Treat ◽  
Electronic Health ◽  
The Impact ◽  
Treat Analysis

Background Care plan concordance among patients and clinicians during hospitalization is suboptimal. Objective This article determines whether an electronic health record (EHR)-integrated patient portal was associated with increased understanding of the care plan, including the key recovery goal, among patients and clinicians in acute care setting. Methods The intervention included (1) a patient portal configured to solicit a single patient-designated recovery goal and display the care plan from the EHR for participating patients; and (2) an electronic care plan for all unit-based nurses that displays patient-inputted information, accessible to all clinicians via the EHR. Patients admitted to an oncology unit, including their nurses and physicians, were enrolled before and after implementation. Main outcomes included mean concordance scores for the overall care plan and individual care plan elements. Results Of 457 and 283 eligible patients approached during pre- and postintervention periods, 55 and 46 participated in interviews, respectively, including their clinicians. Of 46 postintervention patients, 27 (58.7%) enrolled in the patient portal. The intention-to-treat analysis demonstrated a nonsignificant increase in the mean concordance score for the overall care plan (62.0–67.1, adjusted p = 0.13), and significant increases in mean concordance scores for the recovery goal (30.3–57.7, adjusted p < 0.01) and main reason for hospitalization (58.6–79.2, adjusted p < 0.01). The on-treatment analysis of patient portal enrollees demonstrated significant increases in mean concordance scores for the overall care plan (61.9–70.0, adjusted p < 0.01), the recovery goal (30.4–66.8, adjusted p < 0.01), and main reason for hospitalization (58.3–81.7, adjusted p < 0.01), comparable to the intention-to-treat analysis. Conclusion Implementation of an EHR-integrated patient portal was associated with increased concordance for key care plan components. Future efforts should be directed at improving concordance for other care plan components and conducting larger, randomized studies to evaluate the impact on key outcomes during transitions of care. Clinical Trials Identifier NCT02258594.

scholarly journals Using a certified electronic health record technology platform to screen, test and refer patients with prediabetes

JAMIA Open ◽  
2021 ◽  
Vol 4 (4) ◽  
Author(s):  
Kate Kirley ◽  
Tamkeen Khan ◽  
Gina Aquino ◽  
Ameldia Brown ◽  
Scott Meier ◽  
...  
Keyword(s):  
Electronic Health Record ◽  
Diabetes Prevention Program ◽  
Screen Test ◽  
Primary Care Providers ◽  
Baseline Period ◽  
Health Record ◽  
Patient Portal ◽  
Care Providers ◽  
Conversion Rates ◽  
Electronic Health

Abstract The objective of this study was to determine if certified electronic health record technology (CEHRT) can be used to identify and refer patients with prediabetes to lifestyle change programs (LCPs) recognized by the National Diabetes Prevention Program (DPP). This pilot utilized a prediabetes registry, patient portal, and clinical decision support to increase referrals. Data from 36 primary care providers showed 4930 patients were eligible for DPP LCP, 293 referrals were generated, compared to 20 referrals in the baseline period, and 116 patients enrolled. Referral to enrollment conversion rates were 41% in the study period and 69% in the post-study 1-year period. CEHRT functionalities can support systematic identification and management of prediabetes. The referral rate increased 7-fold compared to the baseline period, with high referral to enrollment conversion rates. CEHRT coupled with active provider engagement can serve as a tool to identify prediabetes patients and facilitate LCP referrals and enrollment.

scholarly journals Understanding of and Barriers to Electronic Health Record Patient Portal Access in a Culturally Diverse Pediatric Population (Preprint)

2018 ◽  
Author(s):  
Daniel J Miklin ◽  
Sameera S Vangara ◽  
Alan M Delamater ◽  
Kenneth W Goodman
Keyword(s):  
Culturally Diverse ◽  
Parental Education ◽  
Pediatric Population ◽  
Patient Portal ◽  
Cross Sectional Survey ◽  
Adult Care ◽  
Cross Sectional ◽  
Parental Education Level ◽  
Doctor Patient Communication ◽  
Electronic Health

BACKGROUND Electronic health records (EHRs) have become a standard in the health care setting. In an effort to improve health literacy, foster doctor-patient communication, and ease the transition from adolescent to adult care, our institution created a policy that allows patients aged between 13 and 17 years to have EHR portal access. A literature review revealed predictable differences in portal registration among different ethnicities and socioeconomic statuses. Consequently, a cross-sectional survey was developed to investigate barriers to EHR portal access in a sample of culturally diverse adolescents. OBJECTIVE The aim of this study was to assess for barriers to EHR portal access in a culturally diverse adolescent population. METHODS A 42-item anonymous survey was completed by 97 adolescents aged between 13 and 18 years, attending general pediatrics clinics. The results were analyzed using descriptive statistics and t tests. RESULTS The average participant age was 15.5 (SD 1.5) years with 60% (58/97) male and 40% (39/97) female. Participants were 44% (43/97) black, 41% (40/97) Hispanic, 9% (9/97) Caucasian, 3% (3/97) Asian, and 2% (2/97) others. There were statistically significant differences in perceptions of confidentiality in age (13 to 15 years vs 16 to 18 years; P=.001) and insurance status (government vs private; P=.012) but not in gender, ethnicity, or parental education level. Younger adolescents with governmental insurance were more confident in the level of confidentiality with their physician. A total of 94% of participants had heard of the term EHR, but only 55% were familiar with its function. Furthermore, 77% of patients primarily accessed the internet through phones, and 50% of participants knew that patients aged under 18 years could obtain care for mental health, substance abuse, sexual health, and pregnancy. CONCLUSIONS This research has identified gaps in EHR technology with regard to the pediatric patient population. The results of our survey show that adolescents may have misconceptions regarding the doctor-patient relationship, their ability to obtain care, and the modalities present in an EHR. As technology progresses, it is essential to have a deeper understanding of adolescents’ perceptions of confidentiality, technology, and available resources to design an EHR system that encourages patient education and communication while limiting barriers to care.

scholarly journals Capturing a Patient-Reported Measure of Physical Function Through an Online Electronic Health Record Patient Portal in an Ambulatory Clinic: Implementation Study (Preprint)

2017 ◽  
Author(s):  
Jing Li ◽  
Jinoos Yazdany ◽  
Laura Trupin ◽  
Zara Izadi ◽  
Milena Gianfrancesco ◽  
...  
Keyword(s):  
Electronic Health Record ◽  
Physical Function ◽  
Patient Reported Outcomes ◽  
Health Record ◽  
Patient Portal ◽  
Rheumatology Clinic ◽  
Patient Reported ◽  
Physical Function Score ◽  
Electronic Health ◽  
White Patients

BACKGROUND Despite significant interest in the collection of patient-reported outcomes to make care more patient-centered, few studies have evaluated implementation efforts to collect patient-reported outcomes from diverse patient populations OBJECTIVE We assessed the collection of patient-reported outcomes from rheumatoid arthritis patients in an academic rheumatology clinic, using a paper and an online form through the electronic health record patient portal. METHODS We identified patients seen between 2012-2016 with ≥2 face-to-face encounters with a rheumatology provider and International Classification of Diseases codes for RA, ≥30 days apart. In 2013, our clinic implemented a paper version of the Patient Reported Outcome Measurement Information System (PROMIS) physical function form that was administered to patients upon their check-in at the clinic. In 2015, an online version of the form became available by way of the electronic health record patient portal to patients with active portal accounts. We compared the proportion of visits with documented PROMIS scores across age, race and ethnicity, and language and examined trends over time using a control chart. RESULTS We included 1078 patients with rheumatoid arthritis with 7049 in-person encounters at the rheumatology clinic over 4 years, with an average of 168 visits per month. Of the included patients, 80.4% of patients (867/1078) were female and the mean age was 58 (SD 16) years. The overall PROMIS physical function score documentation increased from 60.4% (1081/1791) of visits in 2013 to 74.4% (905/1217) of visits in 2016. Online score documentation increased from 10.0% (148/1473) in 2015 to 19.3% (235/1217) in 2016. African American patients were least likely to have a PROMIS physical function score recorded (55/88, 62.5% compared to 792/990, 80.0% for other racial or ethnic groups; P<.001). Compared with white patients, both African American and Hispanic patients were less likely to have active online electronic health record portal accounts (44/88, 50% and 90/157, 57.3% respectively, compared to 437/521, 83.9% of white patients; P<.001) and, once activated, less likely to use the online survey (6/44, 13.6% and 16/90, 17.8% respectively, compared to 135/437, 30.9% of white patients; P=.02). There was no significant difference in the proportion of any PROMIS physical function forms recorded between non-English vs English preferred patients. No significant differences were found across age or gender. CONCLUSIONS PROMIS physical function form completion improved overall from 2012-2016 but lagged among racial and ethnic minorities and non-English preferred patients. Future studies should address issues of portal access, enrollment, satisfaction, and persistence and focus on developing PRO implementation strategies that accommodate the needs and preferences of diverse populations.

Incorporating systematic financial screening into the electronic health record.

2021 ◽  
Vol 39 (28_suppl) ◽  
pp. 184-184
Author(s):  
Melissa Parsons Beauchemin ◽  
Elena B. Elkin ◽  
Jason Dennis Wright ◽  
Rita Kukafka ◽  
Dawn L. Hershman ◽  
...  
Keyword(s):  
Electronic Health Record ◽  
Qualitative Interviews ◽  
Gynecologic Oncology ◽  
Financial Hardship ◽  
Cancer Center ◽  
Health Record ◽  
Patient Portal ◽  
Financial Toxicity ◽  
Collect Paper ◽  
Electronic Health

184 Background: Routine screening for financial hardship may identify patients at risk of financial crisis (bankruptcy or inability to afford food or medication). Identifying financial hardship risk is a critical step toward mitigating financial toxicity, associated with earlier mortality and poorer quality of life. We are studying the implementation of systematic financial hardship screening using the electronic health record (EHR) in a large, urban, outpatient cancer center. Methods: Guided by the Consolidated Framework for Implementation Research, we met with key stakeholders, including providers, medical assistants (MA’s), administrative staff, and patient advocates to develop a process to systematically screen all cancer patients for financial hardship risk using 2 items (Q1 and Q3) from the Comprehensive Score for Financial Toxicity (COST). We initiated the process in the breast oncology clinic and partnered with EPIC to integrate the items in the EHR and patient portal. In March 2021, we implemented systematic screening, with automatic prompts to reassess monthly. Results: The workflow includes two mechanisms for patients to complete the 2 items: through the online patient portal during appointment check-in; or through a paper form in English or Spanish, distributed to patients during check-in. An EHR flag was created to notify staff if the patient is due to complete the questions during check-in. During vital signs assessment, the MA collects the form and enters the responses into the EHR. Two important factors were identified to improve the implementation: 1) Patient support to facilitate EHR portal use to reduce clinic workflow congestion; and 2) printed resources for patients who express financial concern. Ongoing discussions reveal that certain clinic days are busier, during which staff find it difficult to review EHR flag, provide and collect paper forms. To date, of 1,358 patients seen in the breast oncology clinic, 526 (39%) have responded to the question, “I know that I have enough money in savings, retirement, or assets to cover the costs of my treatment,” and of those, 278 (53%) responded “not at all” or “a little bit.” Of the 532 patients (39%) who responded to the question, “I worry about the financial problems I will have in the future as a result of my illness or treatment,” 215 (40%) responded “quite a bit” or “very much.” Conclusions: Preliminary analysis highlights the complexities of initiating systematic financial screening in oncology clinics. However, interim results suggest financial hardship is prevalent. Next steps include: expanding to pediatric and gynecologic oncology; building a dashboard to inform financial referrals; comparison of the 2-item screener to the COST survey in a subset of patients; qualitative interviews and focus groups with patients and staff to improve current procedures and optimize the use of dashboards and alerts to focus interventions and referrals on patients most in need.

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