Cashing in: cost-benefit analysis framework for digital hospitals.

BACKGROUND: For many countries, especially those outside the USA without incentive payments, implementing and maintaining electronic medical records (EMR) is expensive and can be controversial given the large amounts of investment. Evaluating the value of EMR implementation is necessary to understand whether or not, such investment, especially when it comes from the public source, is an efficient allocation of healthcare resources. Nonetheless, most countries have struggled to measure the return on EMR investment due to the lack of appropriate evaluation frameworks. METHODS: This paper outlines the development of an evidence-based digital health cost-benefit analysis (eHealth-CBA) framework to calculate the total economic value of the EMR implementation over time. A net positive benefit indicates such investment represents improved efficiency, and a net negative is considered a wasteful use of public resources. RESULTS: We developed a three-stage process that takes into account the complexity of the healthcare system and its stakeholders, the investment appraisal and evaluation practice, and the existing knowledge of EMR implementation. The three stages include (1) literature review, (2) stakeholder consultation, and (3) CBA framework development. The framework maps the impacts of the EMR to the quadruple aim of healthcare and clearly creates a method for value assessment. CONCLUSIONS: The proposed framework is the first step toward developing a comprehensive evaluation framework for EMRs to inform health decision-makers about the economic value of digital investments rather than just the financial value.

From Data to Value: How Artificial Intelligence Augments the Radiology Business to Create Value.

The radiology practice has access to a wealth of data in the radiologist information system, dictation reports, and electronic health records. Although many artificial intelligence applications in radiology have focused on computer vision and the interpretive use cases, many opportunities exist to enhance the radiologist's value proposition through business analytics. This article explores how AI lends an analytical lens to the radiology practice to create value.

Economic impact of clinical decision support interventions based on electronic health records.

BACKGROUND: Unnecessary healthcare utilization, non-adherence to current clinical guidelines, or insufficient personalized care are perpetual challenges and remain potential major cost-drivers for healthcare systems around the world. Implementing decision support systems into clinical care is promised to improve quality of care and thereby yield substantial effects on reducing healthcare expenditure. In this article, we evaluate the economic impact of clinical decision support (CDS) interventions based on electronic health records (EHR). METHODS: We searched for studies published after 2014 using MEDLINE, CENTRAL, WEB OF SCIENCE, EBSCO, and TUFTS CEA registry databases that encompass an economic evaluation or consider cost outcome measures of EHR based CDS interventions. Thereupon, we identified best practice application areas and categorized the investigated interventions according to an existing taxonomy of front-end CDS tools. RESULTS AND DISCUSSION: Twenty-seven studies are investigated in this review. Of those, twenty-two studies indicate a reduction of healthcare expenditure after implementing an EHR based CDS system, especially towards prevalent application areas, such as unnecessary laboratory testing, duplicate order entry, efficient transfusion practice, or reduction of antibiotic prescriptions. On the contrary, order facilitators and undiscovered malfunctions revealed to be threats and could lead to new cost drivers in healthcare. While high upfront and maintenance costs of CDS systems are a worldwide implementation barrier, most studies do not consider implementation cost. Finally, four included economic evaluation studies report mixed monetary outcome results and thus highlight the importance of further high-quality economic evaluations for these CDS systems. CONCLUSION: Current research studies lack consideration of comparative cost-outcome metrics as well as detailed cost components in their analyses. Nonetheless, the positive economic impact of EHR based CDS interventions is highly promising, especially with regard to reducing waste in healthcare.

Electronic Health Record Workstation Single Sign-on: A Quantification of Time Liberated for Nurses to Care for Patients.

OBJECTIVE: The aim of this study was to quantify the impact of electronic health record (EHR) workstation single sign-on (SSO) for nurses. BACKGROUND: SSO was implemented in 19 hospitals for expedited EHR access. METHODS: Login durations before and after SSO implementation were compared, and the financial value of nursing time liberated from keyboard was estimated. Stratified analyses show time liberated and financial value by staffing level and system size. RESULTS: First-of-shift login was reduced by 5.3 seconds (15.3%) and reconnect duration was reduced by 20.4 seconds (69.9%). SSO liberated 27,962.4 hours of nursing time from keyboard login per year across 19 facilities, and 1,471.7 hours/year/facility, valued at $52,112/facility and $990,128 for 19 hospitals. Time value ranges from $201,835 per year for a 5-hospital system with 300 nurses per facility to $672,790 per year for a 10-facility system with 500 nurses per hospital. CONCLUSIONS: Nurses gained substantial time liberated from EHR keyboard by SSO for patient care, having significant financial value for the organization.

The Digitization of Patient Care: A Review of the Effects of Electronic Health Records on Health Care Quality and Utilization.

Electronic health records (EHRs) adoption has become nearly universal during the past decade. Academic research into the effects of EHRs has examined factors influencing adoption, clinical care benefits, financial and cost implications, and more. We provide an interdisciplinary overview and synthesis of this literature, drawing on work in public and population health, informatics, medicine, management information systems, and economics. We then chart paths forward for policy, practice, and research.

10 Steps to Strategically Build and Implement your Enterprise Imaging System: HIMSS-SIIM Collaborative White Paper.

An enterprise imaging (EI) strategy is an organized plan to optimize the electronic health record (EHR) so that healthcare providers have intuitive and immediate access to all patient clinical images and their associated documentation, regardless of source. We describe ten steps recommended to achieve the goal of implementing EI for an institution. The first step is to define and access all images used for medical decision-making. Next, demonstrate how EI is a powerful strategy for enhancing patient and caregiver experience, improving population health, and reducing cost. Then, it is recommended that one must understand the specialties and their clinical workflow challenges as related to imaging. Step four is to create a strategy to improve quality of care and patient safety with EI. Step five demonstrates how EI can reduce costs. Then, show how EI can help enhance the patient experience. Step seven suggests how EI can enhance the work life of caregivers and step eight describes how to develop EI governance. Step nine describes the plan to implement an EI project, and finally, step 10, to understand cybersecurity from a patient safety perspective and to protect images from accidental and malicious intrusion.

Going "Big Bang" into an Electronic Health Record: Four Recommendations from Leading a Dynamic Academic Health Sciences Hospital through Transformational Change on Time, in Scope and within Budget.

At 4 a.m. on December 2, 2017, St. Joseph's Healthcare Hamilton - a multi-site, clinically diverse, tertiary academic and research hospital - deployed an electronic health record (EHR) system across the organization using a "big bang" approach. This effectively required all inpatient, emergency and many ambulatory services to put down their pens and document everything electronically at one moment in time without skipping a beat in providing excellent clinical care. The hospital leapt from the bottom to nearly the top of the internationally recognized measurement for EHR adoption - on time, in scope and within budget. This article presents the leadership's view on essential lessons learned with key recommendations for healthcare systems seeking successful implementation with this approach.

Sensitivity of Claims-Based Algorithms to Ascertain Smoking Status More Than Doubled with Meaningful Use.

BACKGROUND: The "meaningful use of certified electronic health record" policy requires eligible professionals to record smoking status for more than 50% of all individuals aged 13 years or older in 2011 to 2012. OBJECTIVES: To explore whether the coding to document smoking behavior has increased over time and to assess the accuracy of smoking-related diagnosis and procedure codes in identifying previous and current smokers. METHODS: We conducted an observational study with 5,423,880 enrollees from the year 2009 to 2014 in the Truven Health Analytics database. Temporal trends of smoking coding, sensitivity, specificity, positive predictive value, and negative predictive value were measured. RESULTS: The rate of coding of smoking behavior improved significantly by the end of the study period. The proportion of patients in the claims data recorded as current smokers increased 2.3-fold and the proportion of patients recorded as previous smokers increased 4-fold during the 6-year period. The sensitivity of each International Classification of Diseases, Ninth Revision, Clinical Modification code was generally less than 10%. The diagnosis code of tobacco use disorder (305.1X) was the most sensitive code (9.3%) for identifying smokers. The specificities of these codes and the Current Procedural Terminology codes were all more than 98%. CONCLUSIONS: A large improvement in the coding of current and previous smoking behavior has occurred since the inception of the meaningful use policy. Nevertheless, the use of diagnosis and procedure codes to identify smoking behavior in administrative data is still unreliable. This suggests that quality improvements toward medical coding on smoking behavior are needed to enhance the capability of claims data for smoking-related outcomes research.

A strategic gaming model for health information exchange markets.

Current market conditions create incentives for some providers to exercise control over patient data in ways that unreasonably limit its availability and use. Here we develop a game theoretic model for estimating the willingness of healthcare organizations to join a health information exchange (HIE) network and demonstrate its use in HIE policy design. We formulated the model as a bi-level integer program. A quasi-Newton method is proposed to obtain a strategy Nash equilibrium. We applied our modeling and solution technique to 1,093,177 encounters for exchanging information over a 7.5-year period in 9 hospitals located within a three-county region in Florida. Under a set of assumptions, we found that a proposed federal penalty of up to $2,000,000 has a higher impact on increasing HIE adoption than current federal monetary incentives. Medium-sized hospitals were more reticent to adopt HIE than large-sized hospitals. In the presence of collusion among multiple hospitals to not adopt HIE, neither federal incentives nor proposed penalties increase hospitals' willingness to adopt. Hospitals' apathy toward HIE adoption may threaten the value of inter-connectivity even with federal incentives in place. Competition among hospitals, coupled with volume-based payment systems, creates no incentives for smaller hospitals to exchange data with competitors. Medium-sized hospitals need targeted actions (e.g., outside technological assistance, group purchasing arrangements) to mitigate market incentives to not adopt HIE. Strategic game theoretic models help to clarify HIE adoption decisions under market conditions at play in an extremely complex technology environment.

Association Between Billing Patient Portal Messages as e-Visits and Patient Messaging Volume.

This study evaluates the adoption of clinician billing for patient portal messages as e-visits, prompted by significant increases in patient messaging after the onset of the COVID-19 pandemic.

Implementation of a nationwide electronic health record (EHR).

Purpose The purpose of this paper is to identify the best practices applied during the implementation process of a national electronic health record (EHR) system. Furthermore, the main goal is to explore the knowledge gained by experts from leading countries in the field of nationwide EHR system implementation, focusing on some of the main success factors and difficulties, or failures, of the various implementation approaches. Design/methodology/approach To gather the necessary information, an international survey has been conducted with expert participants from 13 countries (Denmark, Austria, Sweden, Norway, the UK, Germany, the Netherlands, Switzerland, Canada, the USA, Israel, New Zealand and South Korea), who had been playing varying key roles during the implementation process. Taking into consideration that each system is unique, with each own (different) characteristics and many stakeholders, the methodological approach followed was not oriented to offer the basis for comparing the implementation process, but rather, to allow us better understand some of the pros and cons of each option. Findings Taking into account the heterogeneity of each country's financing mechanism and health system, the predominant EHR system implementation option is the middle-out approach. The main reasons which are responsible for adopting a specific implementation approach are usually political. Furthermore, it is revealed that the most significant success factor of a nationwide EHR system implementation process is the commitment and involvement of all stakeholders. On the other hand, the lack of support and the negative reaction to any change from the medical, nursing and administrative community is considered as the most critical failure factor. Originality/value A strong point of the current research is the inclusion of experts from several countries (13) spanning in four continents, identifying some common barriers, success factors and best practices stemming from the experience obtained from these countries, with a sense of unification. An issue that should never be overlooked or underestimated is the alignment between the functionality of the new EHR system and users' requirements.

[Value of shared electronic health records for the management of homeless people]. / Prise en charge des personnes sans chez-soi : intérêt du dossier médical partagé ?

AIM: To assess the acceptability for GPS to use the French shared Electronic Health Record (Dossier Médical Partagé, "DMP") when caring for Homeless People (HP). METHODS: Mixed, sequential, qualitative-quantitative study. The qualitative phase consisted of semi-structured interviews with GPs involved in the care of HP. During the quantitative phase, questionnaires were sent to 150 randomized GPs providing routine healthcare in Marseille. Social and practical acceptability was studied by means of a Likert Scale. RESULTS: 19 GPs were interviewed during the qualitative phase, and 105 GPs answered the questionnaire during the quantitative phase (response rate: 73%). GPs had a poor knowledge about DMP. More than half (52.5%) of GPs were likely to effectively use DMP for HP. GPs felt that the "DMP" could improve continuity, quality, and security of care for HP. They perceived greater benefits of the use the DMP for HP than for the general population, notably in terms of saving time (p = 0.03). However, GPs felt that HP were vulnerable and wanted to protect their patients; they worried about security of data storage. GPs identified specific barriers for HP to use DMP: most of them concerned practical access for HP to DMP (lack of social security card, or lack of tool for accessing internet). CONCLUSION: A shared electronic health record, such as the French DMP, could improve continuity of care for HP in France. GPs need to be better informed, and DMP functions need to be optimized and adapted to HP, so that it can be effectively used by GPs for HP.

Cost-Effectiveness of a Health System-Based Smoking Cessation Program.

INTRODUCTION: Project CLIQ (Community Link to Quit) was a proactive population-outreach strategy using an electronic health records-based smoker registry and interactive voice recognition technology to connect low- to moderate-income smokers with cessation counseling, medications, and social services. A randomized trial demonstrated that the program increased cessation. We evaluated the cost-effectiveness of CLIQ from a provider organization's perspective if implemented outside the trial framework. METHODS: We calculated the cost, cost per smoker, incremental cost per additional quit, and, secondarily, incremental cost per additional life year saved of the CLIQ system compared to usual care using data from a 2011-2013 randomized trial assessing the effectiveness of the CLIQ system. Sensitivity analyses considered economies of scale and initial versus ongoing costs. RESULTS: Over a 20-month period (the duration of the trial) the program cost US $283 027 (95% confidence interval [CI] $209 824-$389 072) more than usual care in a population of 8544 registry-identified smokers, 707 of whom participated in the program. The cost per smoker was $33 (95% CI 28-40), incremental cost per additional quit was $4137 (95% CI $2671-$8460), and incremental cost per additional life year saved was $7301 (95% CI $4545-$15 400). One-time costs constituted 28% of costs over 20 months. Ongoing costs were dominated by personnel costs (71% of ongoing costs). Sensitivity analyses showed sharp gains in cost-effectiveness as the number of identified smokers increased because of the large initial costs. CONCLUSIONS: The CLIQ system has favorable cost-effectiveness compared to other smoking cessation interventions. Cost-effectiveness will be greatest for health systems with high numbers of smokers and with the high smoker participation rates. IMPLICATIONS: Health information systems capable of establishing registries of patients who are smokers are becoming more prevalent. This economic analysis illustrates the cost implications for health care systems adopting a proactive tobacco treatment outreach strategy for low- and middle-income smokers. We find that under many circumstances, the CLIQ system has a favorable cost-per-quit compared to other population-based tobacco treatment strategies. The strategy could be widely disseminable if health systems leverage economies of scale.

Update on Electronic Dental Record and Clinical Computing Adoption Among Dental Practices in the United States.

This study sought to re-characterize trends and factors affecting electronic dental record (EDR) and technologies adoption by dental practices and the impact of the Health Information Technology for Economic and Clinical Health (HITECH) act on adoption rates through 2012. A 39-question survey was disseminated nationally over 3 months using a novel, statistically-modeled approach informed by early response rates to achieve a predetermined sample. EDR adoption rate for clinical support was 52%. Adoption rates were higher among: (1) younger dentists; (2) dentists ≤ 15 years in practice; (3) females; and (4) group practices. Top barriers to adoption were EDR cost/expense, cost-benefit ratio, electronic format conversion, and poor EDR usability. Awareness of the Federal HITECH incentive program was low. The rate of chairside computer implementation was 72%. Adoption of EDR in dental offices in the United States was higher in 2012 than electronic health record adoption rates in medical offices and was not driven by the HITECH program. Patient portal adoption among dental practices in the United States remained low.

Medicare Program; Hospital Inpatient Prospective Payment Systems for Acute Care Hospitals and the Long-Term Care Hospital Prospective Payment System and Policy Changes and Fiscal Year 2018 Rates; Quality Reporting Requirements for Specific Providers; Medicare and Medicaid Electronic Health Record (EHR) Incentive Program Requirements for Eligible Hospitals, Critical Access Hospitals, and Eligible Professionals; Provider-Based Status of Indian Health Service and Tribal Facilities and Organizations; Costs Reporting and Provider Requirements; Agreement Termination Notices. Final rule.

We are revising the Medicare hospital inpatient prospective payment systems (IPPS) for operating and capital-related costs of acute care hospitals to implement changes arising from our continuing experience with these systems for FY 2018. Some of these changes implement certain statutory provisions contained in the Pathway for Sustainable Growth Rate (SGR) Reform Act of 2013, the Improving Medicare Post-Acute Care Transformation Act of 2014, the Medicare Access and CHIP Reauthorization Act of 2015, the 21st Century Cures Act, and other legislation. We also are making changes relating to the provider-based status of Indian Health Service (IHS) and Tribal facilities and organizations and to the low-volume hospital payment adjustment for hospitals operated by the IHS or a Tribe. In addition, we are providing the market basket update that will apply to the rate-of-increase limits for certain hospitals excluded from the IPPS that are paid on a reasonable cost basis subject to these limits for FY 2018. We are updating the payment policies and the annual payment rates for the Medicare prospective payment system (PPS) for inpatient hospital services provided by long-term care hospitals (LTCHs) for FY 2018. In addition, we are establishing new requirements or revising existing requirements for quality reporting by specific Medicare providers (acute care hospitals, PPS-exempt cancer hospitals, LTCHs, and inpatient psychiatric facilities). We also are establishing new requirements or revising existing requirements for eligible professionals (EPs), eligible hospitals, and critical access hospitals (CAHs) participating in the Medicare and Medicaid Electronic Health Record (EHR) Incentive Programs. We are updating policies relating to the Hospital Value-Based Purchasing (VBP) Program, the Hospital Readmissions Reduction Program, and the Hospital-Acquired Condition (HAC) Reduction Program. We also are making changes relating to transparency of accrediting organization survey reports and plans of correction of providers and suppliers; electronic signature and electronic submission of the Certification and Settlement Summary page of the Medicare cost reports; and clarification of provider disposal of assets.

How Appropriate Is All This Data Sharing? Building Consensus Around What We Need to Know About Shared Electronic Health Records in Extended Circles of Care.

BACKGROUND: The bulk of healthcare spending is on individuals who have complex needs related to age, income, chronic disease and mental illness. Care involves many different professions, and interoperable electronic health records (EHRs) are increasingly essential. OBJECTIVES: The objective of this paper is to describe the use of a nominal group technique (NGT) to develop a stakeholder-centred research agenda for clinical interoperability in extended circles of care that include social supports. METHODS: We held a day-long meeting with 30 stakeholders, including primary care providers, social supports, patient representatives, health region managers, technology experts, health organizations and experts in privacy, law and ethics. Participants considered, "What research needs to be done to better understand how EHRs should be shared across large healthcare teams that include social supports?" Following sensitizing presentations from researchers and participants, we used an NGT to generate and rank research questions on a 9-point Likert scale. We retained research questions that had a mean score of at least 6.5/9 by at least 70% of the participants over two rounds of consensus-building. RESULTS: Participants identified and ranked 57 research questions. Five items achieved consensus, related to 1) the impact of information sharing on care team outcomes, 2) data quality/accuracy, 3) cost/benefit, 4) what processes use what data and 5) regulation/legislation. CONCLUSION: Healthcare reforms are increasingly focused on systems that integrate and coordinate multidisciplinary care, facilitated by EHRs. Research prioritization will ensure common concerns and barriers are addressed and resolved.

Improving Adherence to Cardiovascular Therapies: An Economic Evaluation of a Randomized Pragmatic Trial.

OBJECTIVE: Preplanned economic analysis of a pragmatic trial using electronic-medical-record-linked interactive voice recognition (IVR) reminders for enhancing adherence to cardiovascular medications (i.e., statins, angiotensin-converting enzyme inhibitors [ACEIs], and angiotensin receptor blockers [ARBs]). METHODS: Three groups, usual care (UC), IVR, and IVR plus educational materials (IVR+), with 21,752 suboptimally adherent patients underwent follow-up for 9.6 months on average. Costs to implement and deliver the intervention (from a payer perspective) were tracked during the trial. Medical care costs and outcomes were ascertained using electronic medical records. RESULTS: Per-patient intervention costs ranged from $9 to $17 for IVR and from $36 to $47 for IVR+. For ACEI/ARB, the incremental cost-effectiveness ratio for each percent adherence increase was about 3 times higher with IVR+ than with IVR ($6 and $16 for IVR and IVR+, respectively). For statins, the incremental cost-effectiveness ratio for each percent adherence increase was about 7 times higher with IVR+ than with IVR ($6 and $43 for IVR and IVR+, respectively). Considering potential cost offsets from reduced cardiovascular events, the probability of breakeven was the highest for UC, but the IVR-based interventions had a higher probability of breakeven for subgroups with a baseline low-density lipoprotein (LDL) level of more than 100 mg/dl and those with two or more calls. CONCLUSIONS: We found that the use of an automated voice messaging system to promote adherence to ACEIs/ARBs and statins may be cost-effective, depending on a decision maker's willingness to pay for unit increase in adherence. When considering changes in LDL level and downstream medical care offsets, UC is the optimal strategy for the general population. However, IVR-based interventions may be the optimal choice for those with elevated LDL values at baseline.

Electronic health records-Applications for the allergist/immunologist: All that glitters is not gold.

A review of existing literature on electronic health records (EHR) demonstrates the lack of a comprehensive analysis of the current status of, and impediments for, physicians, including allergists/immunologists, to adopting a fully functioning system. For physicians to logically embrace the use of EHRs, a comprehensive but straightforward presentation of this complex subject would be helpful. In fact, although there is some evaluative information regarding data derived from EHRs about asthma epidemiology and practice guidelines as well as recording adverse allergic reactions, it is impossible to find one scholarly article that evaluated the use of fully functional EHRs from the perspective of an allergist or immunologist. This analysis presents a review of the background and goals of EHRs and describes the major problems that delayed their widespread acceptance. Necessary solutions to the problems are presented in this article. The potential benefits of better EHRs could foster widespread acceptance and use of these systems.

Benefits and challenges of EMR implementations in low resource settings: a state-of-the-art review.

BACKGROUND: The intent of this review is to discover the types of inquiry and range of objectives and outcomes addressed in studies of the impacts of Electronic Medical Record (EMR) implementations in limited resource settings in sub-Saharan Africa. METHODS: A state-of-the-art review characterized relevant publications from bibliographic databases and grey literature repositories through systematic searching, concept-mapping, relevance and quality filter optimization, methods and outcomes categorization and key article analysis. RESULTS: From an initial population of 749 domain articles published before February 2015, 32 passed context and methods filters to merit full-text analysis. Relevant literature was classified by type (e.g., secondary, primary), design (e.g., case series, intervention), focus (e.g., processes, outcomes) and context (e.g., location, organization). A conceptual framework of EMR implementation determinants (systems, people, processes, products) was developed to represent current knowledge about the effects of EMRs in resource-constrained settings and to facilitate comparisons with studies in other contexts. DISCUSSION: This review provides an overall impression of the types and content of health informatics articles about EMR implementations in sub-Saharan Africa. Little is known about the unique effects of EMR efforts in slum settings. The available reports emphasize the complexity and impact of social considerations, outweighing product and system limitations. Summative guides and implementation toolkits were not found but could help EMR implementers. CONCLUSION: The future of EMR implementation in sub-Saharan Africa is promising. This review reveals various examples and gaps in understanding how EMR implementations unfold in resource-constrained settings; and opportunities for new inquiry about how to improve deployments in those contexts.