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Item Analyzing the symptoms in colorectal and breast cancer patients with or without type 2 diabetes using EHR data(Sage, 2021) Luo, Xiao; Storey, Susan; Gandhi, Priyanka; Zhang, Zuoyi; Metzger, Megan; Huang, Kun; Computer Information and Graphics Technology, School of Engineering and TechnologyThis research extracted patient-reported symptoms from free-text EHR notes of colorectal and breast cancer patients and studied the correlation of the symptoms with comorbid type 2 diabetes, race, and smoking status. An NLP framework was developed first to use UMLS MetaMap to extract all symptom terms from the 366,398 EHR clinical notes of 1694 colorectal cancer (CRC) patients and 3458 breast cancer (BC) patients. Semantic analysis and clustering algorithms were then developed to categorize all the relevant symptoms into eight symptom clusters defined by seed terms. After all the relevant symptoms were extracted from the EHR clinical notes, the frequency of the symptoms reported from colorectal cancer (CRC) and breast cancer (BC) patients over three time-periods post-chemotherapy was calculated. Logistic regression (LR) was performed with each symptom cluster as the response variable while controlling for diabetes, race, and smoking status. The results show that the CRC and BC patients with Type 2 Diabetes (T2D) were more likely to report symptoms than CRC and BC without T2D over three time-periods in the cancer trajectory. We also found that current smokers were more likely to report anxiety (CRC, BC), neuropathic symptoms (CRC, BC), anxiety (BC), and depression (BC) than non-smokers.Item Association Between Menorrhagia and Risk of Intrauterine Device-Related Uterine Perforation and Device Expulsion: Results from the APEX-IUD Study(ScienceDirect, 2022) Getahun, Darios; Fassett, Michael J.; Gatz, Jennifer; Armstrong, Mary Anne; Peipert, Jeffrey F.; Raine-Bennett, Tina; Reed, Susan D.; Zhou, Xiaolei; Schoendorf, Juliane; Postlethwaite, Debbie; Shi, Jiaxiao M.; Saltus, Catherine W.; Wang, Jinyi; Xie, Fagen; Chiu, Vicki Y.; Merchant, Maqdooda; Alabaster, Amy; Ichikawa, Laura E.; Hunter, Shannon; Im, Theresa M.; Takhar, Harpreet S.; Ritchey, Mary E.; Chillemi, Giulia; Pisa, Federica; Asiimwe, Alex; Anthony, Mary S.; Regenstrief Institute, School of MedicineBackground Intrauterine devices are effective contraception, and one levonorgestrel-releasing device is also indicated for treatment of heavy menstrual bleeding (menorrhagia). Objective To compare the incidence of intrauterine device expulsion and uterine perforation in women with and without a diagnosis of menorrhagia within the 12 months before device insertion. Study Design Retrospective cohort study conducted in 3 integrated healthcare systems (Kaiser Permanente Northern California, Southern California, and Washington) and a healthcare information exchange (Regenstrief Institute) in the United States, using electronic health records. Nonpostpartum women aged ≤50 years with intrauterine device (e.g., levonorgestrel or copper) insertions from 2001–2018 without a delivery in the prior 12 months were studied in this analysis. Recent menorrhagia diagnosis (i.e., recorded ≤12 months before insertion) was ascertained from International Classification of Diseases, Ninth/Tenth Revision, Clinical Modification codes. Study outcomes—device expulsion and device-related uterine perforation (complete or partial)—were ascertained from electronic medical records and validated in data sources. Cumulative incidence and crude incidence rates with 95% confidence intervals were estimated. Cox proportional hazards models estimated crude and adjusted hazard ratios using propensity score overlap weighting (13-16 variables) and 95% confidence intervals. Results Among 228,834 nonpostpartum women, mean age was 33.1 years, 44.4% were White, and 31,600 (13.8%) had a recent menorrhagia diagnosis. Most women had a levonorgestrel-releasing device (96.4% of those with and 78.2% of those without a menorrhagia diagnosis). Women with a menorrhagia diagnosis were likely to be older, obese, and have dysmenorrhea or fibroids. Women with vs. without a menorrhagia diagnosis had a higher intrauterine device expulsion rate (40.01 vs. 10.92 per 1,000 person-years), especially evident in the few months after insertion. Women with a menorrhagia diagnosis had higher cumulative incidence (95% confidence interval) of expulsion (7.00% [6.70%, 7.32%] at 1 year, 12.03% [11.52%, 12.55%] at 5 years) vs. without (1.77% [1.70%, 1.84%] at 1 year, 3.69% [3.56%, 3.83%] at 5 years). Risk of expulsion was increased for women with a menorrhagia diagnosis vs. without (adjusted hazard ratio, 2.84 [95% confidence interval: 2.66, 3.03]). Perforation rate was low overall (<1/1,000 person-years) but higher in women with a diagnosis of menorrhagia vs. without (0.98 vs. 0.63 per 1,000 person-years). Cumulative incidence (95% confidence interval) of uterine perforation was slightly higher for women with a menorrhagia diagnosis (0.09% [0.06%, 0.14%] at 1 year, 0.39% [0.29%, 0.53%] at 5 years) vs. without (0.07% [0.06%, 0.08%], at 1 year, 0.28% [0.24%, 0.33%] at 5 years). Risk of perforation was slightly increased in women with a menorrhagia diagnosis vs. without (adjusted hazard ratio, 1.53; 95% confidence interval, 1.10, 2.13). Conclusion The risk of expulsion is significantly higher in women with a recent diagnosis of menorrhagia. Patient education and counseling regarding potential expulsion risk is recommended at insertion. The absolute risk of perforation for women with a recent diagnosis of menorrhagia is very low. Increased expulsion and perforation rates observed are likely due to causal factors of menorrhagia.Item Barriers to Medical Students’ Electronic Health Record Access Can Impede Their Preparedness for Practice(Wolters Kluwer, 2018-01) Welcher, Catherine M.; Hersh, William; Takesue, Blaine; Elliott, Victoria Stagg; Hawkins, Richard E.; Medicine, School of MedicineMedical students need hands-on experience documenting clinical encounters as well as entering orders to prepare for residency and become competent physicians. In the era of paper medical records, students consistently acquired experience writing notes and entering orders as part of their clinical experience. Over the past decade, however, patient records have transitioned from paper to electronic form. This change has had the unintended consequence of limiting medical students’ access to patient records. This restriction has meant that many students leave medical school without the appropriate medical record skills for transitioning to residency. In this article, the authors explore medical students’ current access to electronic health records (EHRs) as well as policy proposals from medical societies, innovative models implemented at some U.S. medical schools, and other possible solutions to ensure that students have sufficient experiential learning opportunities with EHRs in clinical settings. They also contend that competence in the use of EHRs is necessary for students to become physicians who can harness the full potential of these tools rather than physicians for whom EHRs hinder excellent patient care. Finally, the authors argue that meaningful experiences using EHRs should be consistently incorporated into medical school curricula and that EHR-related skills should be rigorously assessed with other clinical skills.Item The benefits of health information exchange: an updated systematic review(Oxford Academic, 2018-09) Menachemi, Nir; Rahurkar, Saurabh; Harle, Christopher A.; Vest, Joshua R.; Health Policy and Management, School of Public HealthObjective Widespread health information exchange (HIE) is a national objective motivated by the promise of improved care and a reduction in costs. Previous reviews have found little rigorous evidence that HIE positively affects these anticipated benefits. However, early studies of HIE were methodologically limited. The purpose of the current study is to review the recent literature on the impact of HIE. Methods We used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines to conduct our systematic review. PubMed and Scopus databases were used to identify empirical articles that evaluated HIE in the context of a health care outcome. Results Our search strategy identified 24 articles that included 63 individual analyses. The majority of the studies were from the United States representing 9 states; and about 40% of the included analyses occurred in a handful of HIEs from the state of New York. Seven of the 24 studies used designs suitable for causal inference and all reported some beneficial effect from HIE; none reported adverse effects. Conclusions The current systematic review found that studies with more rigorous designs all reported benefits from HIE. Such benefits include fewer duplicated procedures, reduced imaging, lower costs, and improved patient safety. We also found that studies evaluating community HIEs were more likely to find benefits than studies that evaluated enterprise HIEs or vendor-mediated exchanges. Overall, these finding bode well for the HIEs ability to deliver on anticipated improvements in care delivery and reduction in costs.Item Clinical thinking via electronic note templates: Who benefits?(Springer, 2021) Savoy, April; Frankel, Richard; Weiner, MichaelItem The complementary nature of query-based and directed health information exchange in primary care practice(Oxford Academic, 2020-01) Vest, Joshua R.; Unruh, Mark A.; Casalino, Lawrence P.; Shapiro, Jason S.; Health Policy and Management, School of Public HealthObjective Many policymakers and advocates assume that directed and query-based health information exchange (HIE) work together to meet organizations’ interoperability needs, but this is not grounded in a substantial evidence base. This study sought to clarify the relationship between the usage of these 2 approaches to HIE. Materials and Methods System user log files from a regional HIE organization and electronic health record system were combined to model the usage of HIE associated with a patient visit at 3 federally qualified health centers in New York. Regression models tested the hypothesis that directed HIE usage was associated with query-based usage and adjusted for factors reflective of the FITT (Fit between Individuals, Task & Technology) framework. Follow-up interviews with 8 key informants helped interpret findings. Results Usage of query-based HIE occurred in 3.1% of encounters and directed HIE in 23.5%. Query-based usage was 0.6 percentage points higher when directed HIE provided imaging information, and 4.8 percentage points higher when directed HIE provided clinical documents. The probability of query-based HIE was lower for specialist visits, higher for postdischarge visits, and higher for encounters with nurse practitioners. Informants used query-based HIE after directed HIE to obtain additional information, support transitions of care, or in cases of abnormal results. Discussion The complementary nature of directed and query-based HIE indicates that both HIE functionalities should be incorporated into EHR Certification Criteria. Conclusions Quantitative and qualitative findings suggest that directed and query-based HIE exist in a complementary manner in ambulatory care settings.Item Daily Situational Brief, December 2, 2014(MESH Coalition, 12/02/14) MESH CoalitionItem Designing a System for Patients Controlling Providers’ Access to their Electronic Health Records: Organizational and Technical Challenges(Springer, 2015-01) Leventhal, Jeremy C.; Cummins, Jonathan A.; Schwartz, Peter H.; Martin, Douglas K.; Tierney, William M.; Department of Medicine, IU School of MedicineBACKGROUND Electronic health records (EHRs) are proliferating, and financial incentives encourage their use. Applying Fair Information Practice principles to EHRs necessitates balancing patients’ rights to control their personal information with providers’ data needs to deliver safe, high-quality care. We describe the technical and organizational challenges faced in capturing patients’ preferences for patient-controlled EHR access and applying those preferences to an existing EHR. METHODS We established an online system for capturing patients’ preferences for who could view their EHRs (listing all participating clinic providers individually and categorically—physicians, nurses, other staff) and what data to redact (none, all, or by specific categories of sensitive data or patient age). We then modified existing data-viewing software serving a state-wide health information exchange and a large urban health system and its primary care clinics to allow patients’ preferences to guide data displays to providers. RESULTS Patients could allow or restrict data displays to all clinicians and staff in a demonstration primary care clinic, categories of providers (physicians, nurses, others), or individual providers. They could also restrict access to all EHR data or any or all of five categories of sensitive data (mental and reproductive health, sexually transmitted diseases, HIV/AIDS, and substance abuse) and for specific patient ages. The EHR viewer displayed data via reports, data flowsheets, and coded and free text data displayed by Google-like searches. Unless patients recorded restrictions, by default all requested data were displayed to all providers. Data patients wanted restricted were not displayed, with no indication they were redacted. Technical barriers prevented redacting restricted information in free textnotes. The program allowed providers to hit a “Break the Glass” button to override patients’ restrictions, recording the date, time, and next screen viewed. Establishing patient-control over EHR data displays was complex and required ethical, clinical, database, and programming expertise and difficult choices to overcome technical and health system constraints. CONCLUSIONS Assessing patients’ preferences for access to their EHRs and applying them in clinical practice requires wide-ranging technical, clinical, and bioethical expertise, to make tough choices to overcome significant technical and organization challenges.Item Developing a National-Level Concept Dictionary for EHR Implementations in Kenya(IOS, 2015) Keny, Aggrey; Wanyee, Steven; Kwaro, Daniel; Mulwa, Edwin; Were, Martin C.; Department of Medicine, IU School of MedicineThe increasing adoption of Electronic Health Records (EHR) by developing countries comes with the need to develop common terminology standards to assure semantic interoperability. In Kenya, where the Ministry of Health has rolled out an EHR at 646 sites, several challenges have emerged including variable dictionaries across implementations, inability to easily share data across systems, lack of expertise in dictionary management, lack of central coordination and custody of a terminology service, inadequately defined policies and processes, insufficient infrastructure, among others. A Concept Working Group was constituted to address these challenges. The country settled on a common Kenya data dictionary, initially derived as a subset of the Columbia International eHealth Laboratory (CIEL) / Millennium Villages Project (MVP) dictionary. The initial dictionary scope largely focuses on clinical needs. Processes and policies around dictionary management are being guided by the framework developed by Bakhshi-Raiez et al. Technical and infrastructure-based approaches are also underway to streamline workflow for dictionary management and distribution across implementations. Kenya's approach on comprehensive common dictionary can serve as a model for other countries in similar settings.Item Development and Validation of Electronic Quality Measures to Assess Care for Patients With Transient Ischemic Attack and Minor Ischemic Stroke(AHA, 2017) Bravata, Dawn M.; Myers, Laura J.; Cheng, Eric; Reeves, Mathew; Baye, Fitsum; Zhangsheng, Yu; Damush, Teresa; Miech, Edward J.; Sico, Jason; Phipps, Michael; Zillich, Alan; Johanning, Jason; Chaturvedi, Seemant; Austin, Curt; Ferguson, Jared; Maryfield, Bailey; Snow, Kathy; Ofner, Susan; Graham, Glenn; Rhude, Rachel; Williams, Linda S.; Arling, Greg; Medicine, School of MedicineBackground—Despite interest in using electronic health record (EHR) data to assess quality of care, the accuracy of such data is largely unknown. We sought to develop and validate transient ischemic attack and minor ischemic stroke electronic quality measures (eQMs) using EHR data. Methods and Results—A random sample of patients with transient ischemic attack or minor ischemic stroke, cared for in Veterans Health Administration facilities (fiscal year 2011), was identified. We constructed 31 eQMs based on existing quality measures. Chart review was the criterion standard for validating the eQMs. To evaluate eQMs in terms of eligibility, we calculated the proportion of patients who were genuinely not eligible to receive a process (based on chart review) and who were correctly identified as not eligible by the EHR data (specificity). To assess eQMs about classification of whether patients received a process, we calculated the proportion of patients who actually received the process (based on chart review) and who were classified correctly by the EHR data as passing (sensitivity). Seven hundred sixty-three patients were included. About eligibility, specificity varied from 25% (brain imaging; carotid imaging) to 99% (anticoagulation quality). About pass rates, sensitivity varied from 30% (antihypertensive class) to 100% (coronary risk assessment; international normalized ratio measured). The 16 eQMs with ≥70% specificity in eligibility and ≥70% sensitivity in pass rates included coronary risk assessment, international normalized ratio measured, HbA1c measurement, speech language pathology consultation, anticoagulation for atrial fibrillation, discharge on statin, lipid management, neurology consultation, Holter, deep vein thrombosis prophylaxis, oral hypoglycemic intensification, cholesterol medication intensification, antihypertensive intensification, antihypertensive class, carotid stenosis intervention, and substance abuse referral for alcohol. Conclusions—It is feasible to construct valid eQMs for processes of transient ischemic attack and minor ischemic stroke care. Healthcare systems with EHRs should consider using electronic data to evaluate care for their patients with transient ischemic attack and to complement and expand quality measurement programs currently focused on patients with stroke.