Transmitting Device Identifiers of Implants From the Point of Care to Insurers: A Demonstration Project.

BACKGROUND: For implanted devices, an effective postmarket surveillance system does not exist. For medications, the Food and Drug Administration's Sentinel Initiative plays that role, relying mainly on drug codes in insurance claims. Unique device identifiers (UDIs) could play an analogous role for implants, but there is no mandate for providers to include UDIs in claims or for payers to record them. Objections have been raised to incorporating UDIs into claims based on a potential burden on providers. METHODS: To assess this purported barrier, we modified information systems at 2 provider-payer dyads to allow for the transmission of UDI data from provider to payer. In addition, to illustrate the potential benefit of including device data in claims, we used our data to compare rates of 90-day adverse events after implantation using the electronic health record (EHR) alone with the EHR plus claims. RESULTS: The software system modifications were modest and performed as designed. Moreover, the level of difficulty of their development and implementation was comparable to that associated with a typical new release of an existing system. In addition, our data demonstrated the ability of claims-based data plus EHR data to reveal a larger percentage of postprocedure adverse events than data from EHRs alone. CONCLUSIONS: Modifying information systems to allow for the transmission of UDI data from providers to payers should not impose a substantial burden on either. Implementation of a postmarket surveillance system based on such data in claims will require, however, the development of a system analogous to Sentinel.

Assessment of Employee Susceptibility to Phishing Attacks at US Health Care Institutions.

Importance: Cybersecurity is an increasingly important threat to health care delivery, and email phishing is a major attack vector against hospital employees. Objective: To describe the practice of phishing simulation and the extent to which health care employees are vulnerable to phishing simulations. Design, Setting, and Participants: Retrospective, multicenter quality improvement study of a convenience sample of 6 geographically dispersed US health care institutions that ran phishing simulations from August 1, 2011, through April 10, 2018. The specific institutions are anonymized herein for security and privacy concerns. Exposures: Simulated phishing emails received by employees at US health care institutions. Main Outcomes and Measures: Date of phishing campaign, campaign number, number of emails sent, number of emails clicked, and email content. Emails were classified into 3 categories (office related, personal, or information technology related). Results: The final study sample included 6 anonymized US health care institutions, 95 simulated phishing campaigns, and 2 971 945 emails, 422 062 of which were clicked (14.2%). The median institutional click rates for campaigns ranged from 7.4% (interquartile range [IQR], 5.8%-9.6%) to 30.7% (IQR, 25.2%-34.4%), with an overall median click rate of 16.7% (IQR, 8.3%-24.2%) across all campaigns and institutions. In the regression model, repeated phishing campaigns were associated with decreased odds of clicking on a subsequent phishing email (adjusted OR, 0.511; 95% CI, 0.382-0.685 for 6-10 campaigns; adjusted OR, 0.335; 95% CI, 0.282-0.398 for >10 campaigns). Conclusions and Relevance: Among a sample of US health care institutions that sent phishing simulations, almost 1 in 7 simulated emails sent were clicked on by employees. Increasing campaigns were associated with decreased odds of clicking on a phishing email, suggesting a potential benefit of phishing simulation and awareness. With cyberattacks increasing against US health care systems, these click rates represent a major cybersecurity risk for hospitals.

Catalyzing healthcare transformation with digital health: Performance indicators and lessons learned from a Digital Health Innovation Group.

Despite considerable investment in digital health (DH) companies and a growing DH ecosystem, there are multiple challenges to testing and implementing innovative solutions. Health systems have recognized the potential of DH and have formed DH innovation centers. However, limited information is available on DH innovation center processes, best practices, or outcomes. This case report describes a DH innovation center process that can be replicated across health systems and defines and benchmarks process indicators to assess DH innovation center performance. The Brigham and Women's Hospital's Digital Health Innovation Group (DHIG) accelerates DH innovations from idea to pilot safely and efficiently using a structured process. Fifty-four DH innovations were accelerated by the DHIG process between July 2014 and December 2016. In order to measure effectiveness of the DHIG process, key process indicators were defined as 1) number of solutions that completed each DHIG phase and 2) length of time to complete each phase. Twenty-three DH innovations progressed to pilot stage and 13 innovations were terminated after barriers to pilot implementation were identified by the DHIG process. For 4 DH solutions that executed a pilot, the average time for innovations to proceed from DHIG intake to pilot initiation was 9 months. Overall, the DHIG is a reproducible process that addresses key roadblocks in DH innovation within health systems. To our knowledge, this is the first report to describe DH innovation process indicators and results within an academic health system. Therefore, there is no published data to compare our results with the results of other DH innovation centers. Standardized data collection and indicator reporting could allow benchmark comparisons across institutions. Additional opportunities exist for the validation of DH solution effectiveness and for translational support from pilot to implementation. These are critical steps to advance DH technologies and effectively leverage the DH ecosystem to transform healthcare.

Characteristics of the National Applicant Pool for Clinical Informatics Fellowships (2016-2017).

We conducted a national study to assess the numbers and diversity of applicants for 2016 and 2017 clinical informatics fellowship positions. In each year, we collected data on the number of applications that programs received from candidates who were ultimately successful vs. unsuccessful. In 2017, we also conducted an anonymous applicant survey. Successful candidates applied to an average of 4.2 and 5.5 programs for 2016 and 2017, respectively. In the survey, unsuccessful candidates reported applying to fewer programs. Assuming unsuccessful candidates submitted between 2-5 applications each, the total applicant pool numbered 42-69 for 2016 (competing for 24 positions) and 52-85 for 2017 (competing for 30 positions). Among survey respondents (n=33), 24% were female, 1 was black and none were Hispanic. We conclude that greater efforts are needed to enhance interest in clinical informatics among medical students and residents, particularly among women and members of underrepresented minority groups.

The quantified patient of the future: Opportunities and challenges.

The healthcare system is undergoing rapid transformation as national policies increase patient access, reward positive health outcomes, and push for an end to the current era of episodic care. Advances in health sensors are rapidly moving diagnostic and monitoring capabilities into consumer products, enabling new care models. Although hospitals and health care providers have been slow to embrace novel health technologies, such innovations may help meet mounting pressure to provide timely, high quality, and low-cost care to large populations. This leading edge perspective focuses on the quantified-self movement and highlights the opportunities and challenges for patients, providers, and researchers.

Clinical and financial impact of removing creatine kinase-MB from the routine testing menu in the emergency setting.

CONTEXT: Cardiac troponins T and I have replaced creatine kinase-MB (CK-MB) as the criterion standard for diagnosing myocardial injury. However, many laboratories still routinely perform a high volume of CK-MB testing in conjunction with troponin. PURPOSE: The purpose of this study is to study the clinical and financial impact of removing CK-MB from the routine emergency department (ED) test menu at a large academic medical center. METHODS: Creatine kinase-MB was removed from ED ordering templates and laboratory requisitions (ie, intervention), although the test could still be manually ordered. Data for creatine kinase (CK), CK-MB, and troponin T (TnT) specimens ordered during a 12-month period (6 months preintervention and 6 months postintervention) (n = 14571) was downloaded from our laboratory information system. All specimens with (1) normal TnT (ie, <0.01 ng/mL), (2) elevated CK-MB (ie, >6.6 ng/mL), and (3) elevated CK-MB index (ie, >5) were considered discrepant and independently reviewed by 2 ED clinicians for the presence of an acute coronary syndrome and for documentation of final diagnosis. Creatine kinase, CK-MB, and TnT ED volumes preintervention and postintervention were analyzed to assess laboratory cost savings. RESULTS: Of the 6444 cases included in the analysis, only 17 were discrepant. Of all 17 cases, no patients were diagnosed with acute coronary syndrome. After removing CK-MB from the templates and requisitions, CK-MB and CK volumes decreased by 80% and 76%, respectively, translating to annual reagent cost savings of approximately $47000. CONCLUSIONS: Creatine kinase-MB can be removed from the routine ED test menu without adversely affecting patient care. In addition, substantial cost savings can be achieved by reducing unnecessary CK-MB testing and associated CK orders.

Prehospital electronic patient care report systems: early experiences from emergency medical services agency leaders.

BACKGROUND: As the United States embraces electronic health records (EHRs), improved emergency medical services (EMS) information systems are also a priority; however, little is known about the experiences of EMS agencies as they adopt and implement electronic patient care report (e-PCR) systems. We sought to characterize motivations for adoption of e-PCR systems, challenges associated with adoption and implementation, and emerging implementation strategies. METHODS: We conducted a qualitative study using semi-structured in-depth interviews with EMS agency leaders. Participants were recruited through a web-based survey of National Association of EMS Physicians (NAEMSP) members, a didactic session at the 2010 NAEMSP Annual Meeting, and snowball sampling. Interviews lasted approximately 30 minutes, were recorded and professionally transcribed. Analysis was conducted by a five-person team, employing the constant comparative method to identify recurrent themes. RESULTS: Twenty-three interviewees represented 20 EMS agencies from the United States and Canada; 14 EMS agencies were currently using e-PCR systems. The primary reason for adoption was the potential for e-PCR systems to support quality assurance efforts. Challenges to e-PCR system adoption included those common to any health information technology project, as well as challenges unique to the prehospital setting, including: fear of increased ambulance run times leading to decreased ambulance availability, difficulty integrating with existing hospital information systems, and unfunded mandates requiring adoption of e-PCR systems. Three recurring strategies emerged to improve e-PCR system adoption and implementation: 1) identify creative funding sources; 2) leverage regional health information organizations; and 3) build internal information technology capacity. CONCLUSION: EMS agencies are highly motivated to adopt e-PCR systems to support quality assurance efforts; however, adoption and implementation of e-PCR systems has been challenging for many. Emerging strategies from EMS agencies and others that have successfully implemented EHRs may be useful in expanding e-PCR system use and facilitating this transition for other EMS agencies.

Increasing adoption of computerized provider order entry, and persistent regional disparities, in US emergency departments.

STUDY OBJECTIVE: The US government provides financial incentives for "meaningful use" of health information technology, including computerized provider order entry. We assess prevalence of emergency department (ED) computerized provider order entry in 4 states, identify characteristics predicting computerized provider order entry adoption, and assess adoption in 1 state over time, all before incentive programs. METHODS: We surveyed all nonfederal EDs in Massachusetts, Colorado, Georgia, and Oregon, assessing health information technology prevalence in 2008, focusing on computerized provider order entry, an enabler of other health information technology and a key element in itself. We use multivariable logistic regression to evaluate predictors of adoption. We compared the Massachusetts data with data from a similar survey we conducted for Massachusetts in 2005, using 95% confidence intervals (CIs) to assess the change in rate. RESULTS: We identified and surveyed 351 EDs, and 290 (83%) responded to the computerized provider order entry module. Of these, 30% had adopted computerized provider order entry. Odds of computerized provider order entry in rural EDs were 0.07 relative to urban (95% CI 0.01 to 0.39). Oregon EDs had a higher likelihood of computerized provider order entry adoption than Georgia EDs, the state with the lowest adoption (odds ratio 2.9; 95% CI 1.2 to 7.3). In 2005, 15% of Massachusetts EDs reported computerized provider order entry versus 44% in 2008 (29% difference; 95% CI 26% to 32%). CONCLUSION: Health information technology adoption varies by state and urbanicity, with less computerized provider order entry in rural EDs. ED computerized provider order entry adoption nearly tripled in Massachusetts from 2005 to 2008, before any financial inducements. Federal resources might be more effective if they helped providers select health information technology tools, improve health information technology design, and evaluate its influence on care delivery, versus simply calling for "more".

Regional variation in total cost per radical prostatectomy in the healthcare cost and utilization project nationwide inpatient sample database.

PURPOSE: Surgical treatment for prostate cancer represents a large national health care expenditure. We determined whether state level variation in the cost of radical prostatectomy exists and whether we could explain this variation by adjusting for covariates associated with cost. MATERIALS AND METHODS: Using the 2004 Healthcare Cost and Utilization Project National Inpatient Sample of 7,978,041 patients we identified 9,917 who were 40 years old or older with a diagnosis of prostate cancer who underwent radical prostatectomy without cystectomy. We used linear regression to examine state level regional variation in radical prostatectomy costs, controlling for the local area wage index, patient demographics, case mix and hospital characteristics. RESULTS: The mean +/- SD unadjusted cost was $9,112 +/- $4,434 (range $2,001 to $49,922). The unadjusted mean cost ranged from $12,490 in California to $4,650 in Utah, each significantly different from the mean of $8,903 in the median state, Washington (p <0.0001). After adjusting for all potential confounders total cost was highest in Colorado and lowest in New Jersey, which were significantly different from the median, Washington ($10,750 and $5,899, respectively, vs $8,641, p <0.0001). The model explained 85.9% of the variance with regional variation accounting for the greatest incremental proportion of variance (35.1%) and case mix variables accounting for an incremental 32.3%. CONCLUSIONS: The total cost of radical prostatectomy varies significantly across states. Controlling for known total cost determinants did not completely explain these differences but altered ordinal cost relationships among states. Cost variation suggests inefficiencies in the health care market. Additional studies are needed to determine whether these variations in total cost translate into differences in quality or outcome and how they may be translated into useful policy measures.

Functional characteristics of commercial ambulatory electronic prescribing systems: a field study.

OBJECTIVE: To compare the functional capabilities being offered by commercial ambulatory electronic prescribing systems with a set of expert panel recommendations. DESIGN: A descriptive field study of ten commercially available ambulatory electronic prescribing systems, each of which had established a significant market presence. Data were collected from vendors by telephone interview and at sites where the systems were functioning through direct observation of the systems and through personal interviews with prescribers and technical staff. MEASUREMENTS: The capabilities of electronic prescribing systems were compared with 60 expert panel recommendations for capabilities that would improve patient safety, health outcomes, or patients' costs. Each recommended capability was judged as having been implemented fully, partially, or not at all by each system to which the recommendation applied. Vendors' claims about capabilities were compared with the capabilities found in the site visits. RESULTS: On average, the systems fully implemented 50% of the recommended capabilities, with individual systems ranging from 26% to 64% implementation. Only 15% of the recommended capabilities were not implemented by any system. Prescribing systems that were part of electronic health records (EHRs) tended to implement more recommendations. Vendors' claims about their systems' capabilities had a 96% sensitivity and a 72% specificity when site visit findings were considered the gold standard. CONCLUSIONS: The commercial electronic prescribing marketplace may not be selecting for capabilities that would most benefit patients. Electronic prescribing standards should include minimal functional capabilities, and certification of adherence to standards may need to take place where systems are installed and operating.

A conceptual framework for evaluating outpatient electronic prescribing systems based on their functional capabilities.

OBJECTIVE: Electronic prescribing (e-prescribing) may substantially improve health care quality and efficiency, but the available systems are complex and their heterogeneity makes comparing and evaluating them a challenge. The authors aimed to develop a conceptual framework for anticipating the effects of alternative designs for outpatient e-prescribing systems. DESIGN: Based on a literature review and on telephone interviews with e-prescribing vendors, the authors identified distinct e-prescribing functional capabilities and developed a conceptual framework for evaluating e-prescribing systems' potential effects based on their capabilities. Analyses of two commercial e-prescribing systems are presented as examples of applying the conceptual framework. MEASUREMENTS: Major e-prescribing functional capabilities identified and the availability of evidence to support their specific effects. RESULTS: The proposed framework for evaluating e-prescribing systems is organized using a process model of medication management. Fourteen e-prescribing functional capabilities are identified within the model. Evidence is identified to support eight specific effects for six of the functional capabilities. The evidence also shows that a functional capability with generally positive effects can be implemented in a way that creates unintended hazards. Applying the framework involves identifying an e-prescribing system's functional capabilities within the process model and then assessing the effects that could be expected from each capability in the proposed clinical environment. CONCLUSION: The proposed conceptual framework supports the integration of available evidence in considering the full range of effects from e-prescribing design alternatives. More research is needed into the effects of specific e-prescribing functional alternatives. Until more is known, e-prescribing initiatives should include provisions to monitor for unintended hazards.