Emergency Information Forms for Children With Medical Complexity: A Qualitative Study.

OBJECTIVES: Children with medical complexity (CMC) are at risk for poor outcomes during medical emergencies. Emergency information forms (EIFs) provide essential medical information for CMC during emergencies; however, they are not widely used. We sought to identify factors related to optimal care for CMC to inform development of EIFs for CMC. METHODS: We interviewed 26 stakeholders, including parents of CMC, healthcare providers, health information technology, and privacy compliance experts. We inquired about barriers and facilitators to emergency care of CMC, as well as the desired content, structure, ownership, and maintenance of an EIF. Audio recordings were transcribed and analyzed inductively for common themes using thematic analysis techniques. RESULTS: Providers identified problems with documentation and poor caregiver understanding as major barriers to care. Parents reported poor provider understanding of their child's condition as a barrier. All groups reported that summary documents facilitate quality care. Recommended content included demographic/contact information, medical history, medications, allergies, advance directives, information about the patient's disease, and an action plan for anticipated emergencies. Twenty-three participants indicated a preference for electronic EIFs; 19 preferred a Web-based EIF that syncs with the medical record, with paper or portable electronic copies. Although 13 participants thought that EIFs should be patient owned to ensure availability during emergencies, 19 expected medical providers to create and update EIFs. CONCLUSIONS: Stakeholders interviewed reported a preference for Web-based, sync-capable EIFs with portable copies. Emergency information forms could be maintained by providers but owned by patients to optimize emergency care and align with the concept of the medical home.

Remission in Pediatric Inflammatory Bowel Disease Correlates With Prescription Refill Adherence Rates.

OBJECTIVES: The aim of the study was to use pharmacy benefit management (PBM) prescription claims data to assess refill adherence in pediatric inflammatory bowel disease (IBD) and correlate adherence with clinical outcomes in pediatric IBD. METHODS: We identified 362 pediatric patients with IBD seen at Washington University from 9/1/2012 to 8/31/2013 and matched them within Express Scripts' member eligibility files for clients allowing use of prescription drug data for research purposes. Maintenance IBD medication possession ratios (MPR) were determined through PBM prescription claims data and chart review. Demographic and prospectively captured physician global assessments (PGA) were retrospectively extracted from the medical record. MPR was analyzed as continuous data and also dichotomized as greater or less than 80%. RESULTS: Among our 362 patients, we matched 228 (63%) within Express Scripts' eligibility data files. Of those, 78 patients were continuously eligible for benefits and had at least one outpatient prescription IBD medication prescribed. Their mean MPR was 0.63 ±â€Š0.31 (standard deviation) and 40% had an MPR ≥80%. Patients in clinical remission had a higher mean MPR than those with an active PGA (0.72 ±â€Š0.28 vs 0.51 ±â€Š0.32, P = 0.002) and patients whose MPR were ≥80% were more likely to have a PGA of remission than those with whose MPR were <80% (84% vs 43%, P = <0.001). CONCLUSIONS: We found a significant association between refill adherence and clinical remission. Nonadherence was common and was more common in adolescents. Use of PBM databases to identify and intervene on patients with poor adherence may improve outcomes in pediatric IBD.

Electronic health record: integrating evidence-based information at the point of clinical decision making.

The authors created two tools to achieve the goals of providing physicians with a way to review alternative diagnoses and improving access to relevant evidence-based library resources without disrupting established workflows. The "diagnostic decision support tool" lifted terms from standard, coded fields in the electronic health record and sent them to Isabel, which produced a list of possible diagnoses. The physicians chose their diagnoses and were presented with the "knowledge page," a collection of evidence-based library resources. Each resource was automatically populated with search results based on the chosen diagnosis. Physicians responded positively to the "knowledge page."

Defining Electronic Health Record Standards for Child Health: A State-of-the-Art Review.

BACKGROUND: Improving child health using health information technology (IT) requires a unique set of functionalities that are built into the electronic health record (EHR) and are used to support patient care. In this article, we review and discuss the milestones preceding the development of a new child health EHR standard and describe the salient features of this contemporary standard. METHODS AND RESULTS: The Health Level Seven Pediatric Care Health IT Functional Profile (HL7 PCHIT FP) is an informative standard that encompasses the EHR functions required to care for patients less than 21 years of age in any clinical setting, developed to address the pediatric-specific functionality gaps in the EHR. It includes criteria that support communication between providers and all caregivers, inclusion of pediatric-specific vital signs and diagnosis, support for transition to adult care, and support for reporting and documentation of child abuse or neglect including communication with involved authorities. EHR functionalities for documentation and reporting of newborn screening tests with follow-up for abnormal results and functionality for children with special health care needs with support for identifying patients who may benefit from care coordination are also incorporated, in addition to school-based linkages enabling communication between the health care system and their school environment. CONCLUSION: The HL7 PCHIT FP is envisioned to be another vital step towards improving pediatric health by enhancing EHRs to address the unique health IT needs of children and their health providers. While the HL7 PCHIT FP is the most recently published standard on pediatric EHR systems, standards development is an iterative process, and recommendations for continuous refinement and additional functionalities for the next standards release are encouraged.

Structure and Funding of Clinical Informatics Fellowships: A National Survey of Program Directors.

BACKGROUND: In 2011, the American Board of Medical Specialties established clinical informatics (CI) as a subspecialty in medicine, jointly administered by the American Board of Pathology and the American Board of Preventive Medicine. Subsequently, many institutions created CI fellowship training programs to meet the growing need for informaticists. Although many programs share similar features, there is considerable variation in program funding and administrative structures. OBJECTIVES: The aim of our study was to characterize CI fellowship program features, including governance structures, funding sources, and expenses. METHODS: We created a cross-sectional online REDCap survey with 44 items requesting information on program administration, fellows, administrative support, funding sources, and expenses. We surveyed program directors of programs accredited by the Accreditation Council for Graduate Medical Education between 2014 and 2021. RESULTS: We invited 54 program directors, of which 41 (76%) completed the survey. The average administrative support received was $27,732/year. Most programs (85.4%) were accredited to have two or more fellows per year. Programs were administratively housed under six departments: Internal Medicine (17; 41.5%), Pediatrics (7; 17.1%), Pathology (6; 14.6%), Family Medicine (6; 14.6%), Emergency Medicine (4; 9.8%), and Anesthesiology (1; 2.4%). Funding sources for CI fellowship program directors included: hospital or health systems (28.3%), clinical departments (28.3%), graduate medical education office (13.2%), biomedical informatics department (9.4%), hospital information technology (9.4%), research and grants (7.5%), and other sources (3.8%) that included philanthropy and external entities. CONCLUSION: CI fellowships have been established in leading academic and community health care systems across the country. Due to their unique training requirements, these programs require significant resources for education, administration, and recruitment. There continues to be considerable heterogeneity in funding models between programs. Our survey findings reinforce the need for reformed federal funding models for informatics practice and training.

Health information technology vendor selection strategies and total factor productivity.

OBJECTIVE: The aim of this study was to compare health information technology (HIT) adoption strategies' relative performance on hospital-level productivity measures. DATA SOURCES: The American Hospital Association's Annual Survey and Healthcare Information and Management Systems Society Analytics for fiscal years 2002 through 2007 were used for this study. STUDY DESIGN: A two-stage approach is employed. First, a Malmquist model is specified to calculate hospital-level productivity measures. A logistic regression model is then estimated to compare the three HIT adoption strategies' relative performance on the newly constructed productivity measures. PRINCIPAL FINDINGS: The HIT vendor selection strategy impacts the amount of technological change required of an organization but does not appear to have either a positive or adverse impact on technical efficiency or total factor productivity. CONCLUSIONS: The higher levels in technological change experienced by hospitals using the best of breed and best of suite HIT vendor selection strategies may have a more direct impact on the organization early on in the process. However, these gains did not appear to translate into either increased technical efficiency or total factor productivity during the period studied. Over a longer period, one HIT vendor selection strategy may yet prove to be more effective at improving efficiency and productivity.

Covid-19 Positivity Differences Among Patients of a Rural, Southern US State Hospital System Based on Population Density, Rural-Urban Classification, and Area Deprivation Index.

In this study we examined the correlation of COVID-19 positivity with area deprivation index (ADI), social determinants of health (SDOH) factors based on a consumer and electronic medical record (EMR) data and population density in a patient population from a tertiary healthcare system in Arkansas. COVID-19 positivity was significantly associated with population density, age, race, and household size. Understanding health disparities and SDOH data can add value to health and the creation of trustable AI.

Elective operations delay and emergency department visits and inpatient admissions during COVID-19.

Introduction: At the beginning of the COVID-19 pandemic, many hospitals postponed elective operations for a 12-week period in early 2020. During this time, there was concern that the delay would lead to worse health outcomes. The objective of this study is to analyze the effect of delaying operations during this period on ED (Emergency Department) visits and/or urgent IP (Inpatient) admissions. Methods: Electronic Health Record (EHR) data on canceled elective operations between 3/17/20 to 6/8/20 was extracted and a descriptive analysis was performed looking at patient demographics, delay time (days), procedure type, and procedure on rescheduled, completed elective operations with and without a related ED visit and/or IP admission during the delay period. Results: Only 4 out of 197 (2.0%) operations among 4 patients out of 186 patients (2.0%) had an ED visit or IP admission diagnosis related to the postponed operation. When comparing the two groups, the 4 patients were older and had a longer median delay time compared to the 186 patients without an ED visit or IP admission. Conclusion: Postponement of certain elective operations may be done with minimal risk to the patient during times of crisis. However, this minimal risk may be due to the study site's selection of elective operations to postpone. For example, none of the elective operations canceled or postponed were cardiovascular operations, which have worse health outcomes when delayed.

Economic analysis of a single institutional review board data exchange standard in multisite clinical studies.

BACKGROUND: Single Institutional Review Boards (sIRB) are not achieving the benefits envisioned by the National Institutes of Health. The recently published Health Level Seven (HL7®) Fast Healthcare Interoperability Resources (FHIR®) data exchange standard seeks to improve sIRB operational efficiency. METHODS AND RESULTS: We conducted a study to determine whether the use of this standard would be economically attractive for sIRB workflows collectively and for Reviewing and Relying institutions. We examined four sIRB-associated workflows at a single institution: (1) Initial Study Protocol Application, (2) Site Addition for an Approved sIRB study, (3) Continuing Review, and (4) Medical and Non-Medical Event Reporting. Task-level information identified personnel roles and their associated hour requirements for completion. Tasks that would be eliminated by the data exchange standard were identified. Personnel costs were estimated using annual salaries by role. No tasks would be eliminated in the Initial Study Protocol Application or Medical and Non-Medical Event Reporting workflows through use of the proposed data exchange standard. Site Addition workflow hours would be reduced by 2.50 h per site (from 15.50 to 13.00 h) and Continuing Review hours would be reduced by 9.00 h per site per study year (from 36.50 to 27.50 h). Associated costs savings were $251 for the Site Addition workflow (from $1609 to $1358) and $1033 for the Continuing Review workflow (from $4110 to $3076). CONCLUSION: Use of the proposed HL7 FHIR® data exchange standard would be economically attractive for sIRB workflows collectively and for each entity participating in the new workflows.

GenDrux: a biomedical literature search system to identify gene expression-based drug sensitivity in breast cancer.

BACKGROUND: This paper describes the development of a web-based tool, GenDrux, which extracts and presents (over the Internet) information related to the disease-gene-drug nexus. This information is archived from the relevant biomedical literature using automated methods. GenDrux is designed to alleviate the difficulties of manually processing the vast biomedical literature to identify disease-gene-drug relationships. GenDrux will evolve with the literature without additional algorithmic modifications. RESULTS: GenDrux, a pilot system, is developed in the domain of breast cancer and can be accessed at http://www.microarray.uab.edu/drug_gene.pl. GenDrux can be queried based on drug, gene and/or disease name. From over 8,000 relevant abstracts from the biomedical literature related to breast cancer, we have archived a corpus of more than 4,000 articles that depict gene expression-drug activity relationships for breast cancer and related cancers. The archiving process has been automated. CONCLUSIONS: The successful development, implementation, and evaluation of this and similar systems when created may provide clinicians with a tool for literature management, clinical decision making, thus setting the platform for personalized therapy in the future.

Environmental factors and health information technology management strategy.

BACKGROUND: : Previous studies have provided theoretical and empirical evidence that environmental forces influence hospital strategy. PURPOSES: : Rooted in resource dependence theory and the information uncertainty perspective, this study examined the relationship between environmental market characteristics and hospitals' selection of a health information technology (HIT) management strategy. METHODOLOGY/APPROACH: : A cross-sectional design is used to analyze secondary data from the American Hospital Association Annual Survey, the Healthcare Information and Management Systems Society Analytics Database, and the Area Resource File. Univariate and multinomial logistic regression analyses are used. FINDINGS: : Overall, 3,221 hospitals were studied, of which 60.9% pursed a single-vendor HIT management strategy, 28.9% pursued a best-of-suite strategy, and 10.2% used a best-of-breed strategy. Multivariate analyses controlling for hospital characteristics found that measures of environmental factors representing munificence, dynamism, and/or complexity were systematically associated with various hospital HIT management strategy use. Specifically, the number of generalist physicians per capita was positively associated with the single-vendor strategy (B = -5.64, p = .10). Hospitals in urban markets were more likely to pursue the best-of-suite strategy (B = 0.622, p < .001). Dynamism, measured as the number of managed care contracts for a given hospital, was negatively associated with the single-vendor strategy (B = 0.004, p = .049). Lastly, complexity, measured as market competition, was positively associated with the best-of-breed strategy (B = 0.623, p = .042). PRACTICE IMPLICATIONS: : By and large, environmental factors are associated with hospital HIT management strategies in mostly theoretically supported ways. Hospital leaders and policy makers interested in influencing the adoption of hospital HIT should consider how market conditions influence HIT management decisions as part of programs to promote meaningful use.

Role of Machine Learning Techniques to Tackle the COVID-19 Crisis: Systematic Review.

BACKGROUND: SARS-CoV-2, the novel coronavirus responsible for COVID-19, has caused havoc worldwide, with patients presenting a spectrum of complications that have pushed health care experts to explore new technological solutions and treatment plans. Artificial Intelligence (AI)-based technologies have played a substantial role in solving complex problems, and several organizations have been swift to adopt and customize these technologies in response to the challenges posed by the COVID-19 pandemic. OBJECTIVE: The objective of this study was to conduct a systematic review of the literature on the role of AI as a comprehensive and decisive technology to fight the COVID-19 crisis in the fields of epidemiology, diagnosis, and disease progression. METHODS: A systematic search of PubMed, Web of Science, and CINAHL databases was performed according to PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) guidelines to identify all potentially relevant studies published and made available online between December 1, 2019, and June 27, 2020. The search syntax was built using keywords specific to COVID-19 and AI. RESULTS: The search strategy resulted in 419 articles published and made available online during the aforementioned period. Of these, 130 publications were selected for further analyses. These publications were classified into 3 themes based on AI applications employed to combat the COVID-19 crisis: Computational Epidemiology, Early Detection and Diagnosis, and Disease Progression. Of the 130 studies, 71 (54.6%) focused on predicting the COVID-19 outbreak, the impact of containment policies, and potential drug discoveries, which were classified under the Computational Epidemiology theme. Next, 40 of 130 (30.8%) studies that applied AI techniques to detect COVID-19 by using patients' radiological images or laboratory test results were classified under the Early Detection and Diagnosis theme. Finally, 19 of the 130 studies (14.6%) that focused on predicting disease progression, outcomes (ie, recovery and mortality), length of hospital stay, and number of days spent in the intensive care unit for patients with COVID-19 were classified under the Disease Progression theme. CONCLUSIONS: In this systematic review, we assembled studies in the current COVID-19 literature that utilized AI-based methods to provide insights into different COVID-19 themes. Our findings highlight important variables, data types, and available COVID-19 resources that can assist in facilitating clinical and translational research.

Implementing Pharmacogenomics Testing: Single Center Experience at Arkansas Children's Hospital.

Pharmacogenomics (PGx) is a growing field within precision medicine. Testing can help predict adverse events and sub-therapeutic response risks of certain medications. To date, the US FDA lists over 280 drugs which provide biomarker-based dosing guidance for adults and children. At Arkansas Children's Hospital (ACH), a clinical PGx laboratory-based test was developed and implemented to provide guidance on 66 pediatric medications for genotype-guided dosing. This PGx test consists of 174 single nucleotide polymorphisms (SNPs) targeting 23 clinically actionable PGx genes or gene variants. Individual genotypes are processed to provide per-gene discrete results in star-allele and phenotype format. These results are then integrated into EPIC- EHR. Genomic indicators built into EPIC-EHR provide the source for clinical decision support (CDS) for clinicians, providing genotype-guided dosing.

Hospital IT adoption strategies associated with implementation success: implications for achieving meaningful use.

Health systems are facing significant pressure to either implement health information technology (HIT) systems that have "certified" electronic health record applications and that fulfill the federal government's definition of "meaningful use" or risk substantial financial penalties in the near future. To this end, hospitals have adopted one of three strategies, described as "best of breed," "best of suite," and "single vendor," to meet organizational and regulatory demands. The single-vendor strategy is used by the simple majority of U.S. hospitals, but is it the most effective mode for achieving full implementation? Moreover, what are the implications of adopting this strategy for achieving meaningful use? The simple answer to the first question is that the hospitals using the hybrid best of suite strategy had fully implemented HIT systems in significantly greater proportions than did hospitals employing either of the other strategies. Nonprofit and system-affiliated hospitals were more likely to have fully implemented their HIT systems. In addition, increased health maintenance organization market penetration rates were positively correlated with complete implementation rates. These results have ongoing implications for achieving meaningful use in the near term. The federal government's rewards and incentives program related to the meaningful use of HIT in hospitals has created an organizational imperative to implement such systems. For hospitals that have not begun systemwide implementation, pursuing a best of suite strategy may provide the greatest chance for achieving all or some of the meaningful use targets in the near term or at least avoiding future penalties scheduled to begin in 2015.

The relationship between computerized physician order entry and pediatric adverse drug events: a nested matched case-control study.

This study assesses the impact of computerized physician order entry (CPOE) implementation in pediatric hospitals on reported adverse drug events. Using a nested matched case-control design; we linked CPOE implementation information from the health information management systems society analytics database with reported adverse drug event (ADE) from the national association of children's hospitals and related institutions case mix comparative data program. Differences were examined using univariate and multivariate conditional logistic regression analyses. Patients from CPOE hospitals were more frequently seen in larger hospitals have more co-morbidities than those from non-CPOE hospitals. When matched by admitting diagnosis, age, gender and race, ADE cases were associated with more reported co-morbidities, and were reported less frequently in hospitals with CPOE. Patients from hospitals without CPOE were 42% more likely to experience reportable ADE after adjusting for the presence of co-morbidities. In conclusion, we found significant beneficial associations between reportable ADE and CPOE adoption in a representative sample of pediatric hospitals.

Full implementation of computerized physician order entry and medication-related quality outcomes: a study of 3364 hospitals.

This study compares quality of care measures for hospitals with fully implemented computerized physician order entry (CPOE) systems with hospitals that have not fully implemented such a system. Using a cross-sectional design, this study linked hospital quality data from the Centers for Medicare and Medicaid Services to the Health Information Management Systems Society Analytics database, which contains hospital CPOE adoption information. Performance on quality measures was assessed using univariate and multivariate methods. In all, 8% of hospitals have fully implemented CPOE systems; CPOE hospitals were more frequently larger, not-for-profit, and teaching hospitals. After controlling for confounders, CPOE hospitals outperformed comparison hospitals on 5 of 11 measures related to ordering medications and on 1 of 9 nonmedication-related quality measures. Using a large sample of hospitals, our study found significant positive associations between specific objective quality indicators and CPOE implementation.

Best of breed strategies--hospital characteristics associated with organizational HIT strategy.

We identify the frequency at which various IT management strategies (e.g., best of breed, best of suite, or singlevendor solutions) are pursued in U.S. hospitals. We also examine hospital characteristics that are associated with pursuing one strategy over another. After combining several secondary data sources, 3343 hospitals were analyzed. Of these, 61 percent indicated a single vendor; 29 percent indicated a best-of-suite; and 10 percent suggested a best-of-breed strategy. In multivariate models, single-vendor strategies were most common among hospitals that were small, stand-alone, for-profit, non-teaching and/or non-JCAI accredited. Best of breed strategies were most common among system affiliated and JCAHO accredited hospitals; and best-of-suite IT strategies were most common among very large, system affiliated, teaching and JCAHO-acccredited hospitals. These findings enable hospital leaders to compare strategies with their peers. Moreover, IT vendors can identify the types of hospitals that would most likely benefit from their products or services.

Emergency Department Directors Are Willing to Expand Reproductive Health Services for Adolescents.

STUDY OBJECTIVE: Nearly 20 million adolescents receive emergency department (ED) care each year, many of whom have untreated reproductive health issues. ED visits represent an opportunity to provide appropriate care, however, ED physician reproductive health care practices and capabilities in the United States have not been described. We sought to characterize pediatric ED director's individual practice and ED system resources for providing adolescent reproductive health care. DESIGN, SETTING, PARTICIPANTS, AND INTERVENTIONS: We invited pediatric ED division and/or medical directors nationally to participate in an anonymous, online survey. MAIN OUTCOME MEASURES: Outcomes included ED directors' personal practice regarding providing adolescent patients reproductive health care, and their ED's resources and standard practice regarding screening adolescents for sexually transmitted infections (STIs) and other reproductive health concerns. RESULTS: One hundred thirty-five of 442 (30.5%) ED directors responded. Respondents were 73% (90/124) male, with a median of 18 (interquartile range, 13-23) years of experience and 63% (84/134) working in urban EDs. Seventy-one percent (90/130) preferred face-to-face interviews for obtaining a sexual history, but only 59% (77/130) of participants "always ask parents to leave the room for sensitive questions." Eighty-four percent (106/127) were receptive to pregnancy prevention interventions being initiated in the ED, with 75% (80/106) of those willing to provide an intervention. Only 16% (21/128) indicated their ED has a universal STI screening program, and only 18% (23/126) "always" successfully notify patients of a positive STI test. CONCLUSION: ED directors are comfortable providing adolescent reproductive health care, and many individual- and ED-level opportunities exist to provide improved reproductive health care for adolescents in the ED.

Patterns of use of handheld clinical decision support tools in the clinical setting.

OBJECTIVES: To assess the patterns of use of handheld clinical decision support tools by internal medicine residents in clinical settings. METHODS: Eighty-two internal medicine residents were given personal digital assistants (PDAs) containing a suite of clinical decision support (CDS) programs. A tracking program was used to prospectively track program use during the study period, and a follow-up survey regarding self-reported program use was administered after the study period. Patterns of program use from the tracking data were compared to the data from the self-report survey. RESULTS: Sixty-eight residents were followed using the tracking data. Residents used an average of 1.81 CDS programs (SD: 1.57; range, 0-5) per month. Forty-nine residents completed the self-report survey. Residents reported using an average of 3.15 (SD: 1.61) and 3.92 (SD: 1.40) CDS programs during a typical clinic session and inpatient day, respectively. In both inpatient and outpatient settings and for both methods of assessing program use, 2 programs (Epocrates and MedCalc) were used more often than the other programs. No association was observed between age, gender, race, and PGY level with the use of handheld clinical decision support tools for either tracked or self-report data. The self-report data show higher estimates of CDS program use than the tracking data in the clinical setting. CONCLUSIONS: The data show that physicians prefer to use certain handheld CDS tools in clinical settings. Drug references and medical calculators have been consistently used more than clinical prediction rules and diagnostic systems. Self-report survey instruments may overestimate recorded use of CDS programs.

Do "most wired" hospitals deliver better care?

BACKGROUND: A study was conducted in 2006 to compare differences in objective quality of care measures among hospitals labeled "Most Wired"--a hospital or member-hospital of a health system listed among the Hospital and Health Network's Healthcare's Most Wired Hospitals for 2004--versus hospitals without that designation. METHODS: Ten quality indicators representing cardiac and pulmonary measures were calculated for adult hospitals participating in the U.S. Department of Health and Human Services' Hospital Compare initiative. Performance of Most Wired hospitals and comparison hospitals was compared using t-tests. The association of the Most Wired designation to measures of care was assessed using multivariable linear regression and generalized estimating equations. RESULTS: Compared with comparison hospitals, Most Wired hospitals tend to be larger, not-for profit and teaching hospitals. Most Wired hospitals outperformed comparison hospitals in all but one quality indicator (p < .05). After adjustment, Most Wired hospitals were independently associated with better quality scores for only 2 out of 10 quality indicators. The Most Wired hospitals did not significantly underperform for any indicator. CONCLUSION: Most Wired hospitals outperformed other hospitals on most objective quality of care measures. However, some of the results were significantly attenuated by other factors associated with quality, suggesting that for specific indicators, "Most Wired" may be a marker of overall quality more than an independent factor. More research is needed on how overall implementation of health information technology directly affects quality of care measures.