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

2018 ◽  
Vol 6 (2) ◽  
pp. e31 ◽  
Author(s):  
Jing Li ◽  
Jinoos Yazdany ◽  
Laura Trupin ◽  
Zara Izadi ◽  
Milena Gianfrancesco ◽  
...  
Keyword(s):  
Electronic Health Record ◽  
Physical Function ◽  
Health Record ◽  
Patient Portal ◽  
Implementation Study ◽  
Ambulatory Clinic ◽  
Patient Reported ◽  
Electronic Health

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.

What does social isolation have to do with my arthritis? Patient and provider views of the implementation of an electronic Social Determinants of Health risk assessment tool

2020 ◽  
Vol 64 (1) ◽  
pp. 707-710
Keyword(s):  
Electronic Health Record ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
Assessment Tool ◽  
Determinants Of Health ◽  
Health Record ◽  
Institute Of Medicine ◽  
Patient Reported ◽  
Item Responses ◽  
Electronic Health

Social Determinants of Health (SDoH) are the conditions in which people are born, live, learn, work, and play that can affect health, functioning, and quality-of-life outcomes. The Institute of Medicine charged healthcare institutions with capturing and measuring patient SDoH risk factors through the electronic health record. Following the implementation of a social determinants of health electronic module across a major health institution, the response to institutional implementation was evaluated. To assess the response, a multidisciplinary team interviewed patients and providers, mapped the workflow, and performed simulated tests to trace the flow of SDoH data from survey item responses to visualization in EHR output for clinicians. Major results of this investigation were: 1) the lack of patient consensus about value of collecting SDOH data, and 2) the disjointed view of patient reported SDoH risks across patients, providers, and the electronic health record due to the way data was collected and visualized.

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 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 Frequency and Types of Patient-Reported Errors in Electronic Health Record Ambulatory Care Notes

2020 ◽  
Vol 3 (6) ◽  
pp. e205867 ◽  
Author(s):  
Sigall K. Bell ◽  
Tom Delbanco ◽  
Joann G. Elmore ◽  
Patricia S. Fitzgerald ◽  
Alan Fossa ◽  
...  
Keyword(s):  
Electronic Health Record ◽  
Ambulatory Care ◽  
Health Record ◽  
Patient Reported ◽  
Electronic Health

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.

Integrating patient-reported outcomes data into the electronic health record.

2018 ◽  
Vol 36 (30_suppl) ◽  
pp. 186-186
Author(s):  
Brandon Bosch ◽  
Scott Hartman ◽  
Lauren Caldarello ◽  
Diane Denny, DBA
Keyword(s):  
Electronic Health Record ◽  
Population Analysis ◽  
Treatment Plan ◽  
Symptom Burden ◽  
Symptom Assessment ◽  
Patient Reported Outcome ◽  
Health Record ◽  
National Network ◽  
Patient Reported ◽  
Electronic Health

186 Background: As a national network of hospitals that specialize in the treatment of patients fighting complex or advanced-stage cancer, the network was an early adopter of using patient reported outcome (PRO) data as part of its routine patient assessment and treatment. Since 2012 an externally validated tool has been used to capture patients’ perceived symptom burden for real-time clinical intervention, from the point of first visit throughout the course of treatment, at intervals of 21 days or greater. Research has demonstrated the use of PRO data as a valuable component of a patient’s treatment plan, promoting improved quality and length of life. Methods: The use of this data across the network was expanded such that results once only accessible on paper and via electronically stored images, has now been fully integrated into the electronic health record (EHR). A multidisciplinary project team formulated the specifications for a successful integration of PRO data into the EHR. Results: The project achieved its goal and went beyond data integration to include implementation of a solution to facilitate documentation of intervention against patients’ symptoms. Provider workflow efficiency is greatly enhanced via single system access and visual notification, with critical values flagged, to focus providers’ attention on severe symptoms. Incorporation of a unified EHR flowsheet provides a paperless, one-stop symptom assessment approach and streamlined mechanism for intervention documentation. The documentation module leverages structured data fields and linkage of PRO data with interventions, such as specialist referrals or medication orders, to support enhanced patient care and quality improvement. Conclusions: The ability to easily view an array of patient reported concerns and document interventions against severe or significantly worsening symptoms provides clinicians an enhanced ability to address quality of life related needs. PRO data is now stored electronically in the enterprise warehouse, thus enabling aggregation with data from which to perform population analysis and eventually, pursue opportunities for predictive modeling.

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