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.

The financial advantages of medical scribes extend beyond increased visits.

Employing medical scribes can boost revenue for a practice, the authors show, well beyond being an opportunity to expand patient volume.

Costs of using evidence-based implementation strategies for behavioral health integration in a large primary care system.

OBJECTIVE: To describe the cost of using evidence-based implementation strategies for sustained behavioral health integration (BHI) involving population-based screening, assessment, and identification at 25 primary care sites of Kaiser Permanente Washington (2015-2018). DATA SOURCES/STUDY SETTING: Project records, surveys, Bureau of Labor Statistics compensation data. STUDY DESIGN: Labor and nonlabor costs incurred by three implementation strategies: practice coaching, electronic health records clinical decision support, and performance feedback. DATA COLLECTION/EXTRACTION METHODS: Personnel time spent on these strategies was estimated for five broad roles: (a) project leaders and administrative support, (b) practice coaches, (c) clinical decision support programmers, (d) performance metric programmers, and (e) primary care local implementation team members. PRINCIPAL FINDING: Implementation involved 286 persons, 18 131 person-hours, costing $1 587 139 or $5 per primary care visit with screening or $38 per primary care visit identifying depression, suicidal thoughts and/or alcohol or substance use disorders, in a single year. The majority of person-hours was devoted to project leadership (35%) and practice coaches (34%), and 36% of costs were for the first three sites. CONCLUSIONS: When spread across patients screened in a single year, BHI implementation costs were well within the range for commonly used diagnostic assessments in primary care (eg, laboratory tests). This suggests that implementation costs alone should not be a substantial barrier to population-based BHI.

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.

Affordable digital innovation to reduce SARS-CoV-2 transmission among healthcare workers.

In the South African public healthcare sector, patient medical records are still written on paper and stored in filing rooms. There has been an attempt to move towards a paperless electronic system in many public healthcare facilities, but owing to lack of funding, this has been a challenge to achieve. During the current COVID-19 pandemic, the virus could be transmitted through the physical manipulation of patient records by various categories of staff who handle the records with or without gloves for protection. We discuss a digital option that has been partially used at Tygerberg Hospital (TBH), Cape Town, to avoid SARS-CoV-2 patient hard-copy record manipulation. It includes assignment of a QR code to every patient admitted as a person under investigation or confirmed COVID-19 case. The QR code is synced to one of the many free online medical notes smartphone applications (apps), which are password-protected with patient information privacy regulations (Trello is used at TBH), for daily medical notes review and editing. Upon discharge, all notes made during the patient's hospital stay, together with the discharge summary, are printed to generate a hard copy of notes for filing to avoid violation of the current national and provincial patient records policy. Doing this means that a patient will have a virtual online file through the designated app until discharge, when a physical file will be made for storage and safekeeping. It will keep physical manipulation of patient records to the minimum, and potentially assist in reducing transmission of the SARS-CoV-2 virus among healthcare workers.

Consolidation in the Electronic Health Record Market, 2009-2017.

BACKGROUND: To quantify changes to the electronic health record (EHR) market in Rhode Island and to assess the degree of EHR market consolidation between 2009 and 2017. METHODS: The EHR market in Rhode Island is represented by three measures: the proportion of physicians who have adopted an EHR, the number of EHR vendors in use, and EHR market competitiveness, captured by the Herfindahl-Hirschman Index (HHI). RESULTS: The EHR market became more consolidated overall between 2009 and 2017. Among outpatient physicians, the market has remained competitive, despite ongoing consolidation. In contrast, the EHR market among inpatient physicians crossed into the "highly concentrated" zone in 2015. DISCUSSION: While consolidation in the EHR market may facilitate the exchange of data across health systems, potentially reducing duplicative testing and facilitating timely diagnosis, limiting competition may affect vendors' responsiveness to calls for improved usability and innovation.

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.

Evaluation of an Electronic Health Record System With a Disease Management Program and Health Care Treatment Costs for Danish Patients With Type 2 Diabetes.

Importance: Electronic health record (EHR) systems and disease management programs (DMP) are often promoted, but associated health care cost changes are not well understood. Objective: To evaluate the association between annual health care costs of patients with type 2 diabetes and the use of an electronic health record system with a disease management program (EHR/DMP) in general practice. Design, Setting, and Participants: This retrospective cohort study examined patients with type 2 diabetes in Denmark between January 1, 2008, and December 31, 2014, who attended practices that either used an EHR/DMP at a high level or never used the disease management system. An EHR/DMP system was rolled out across general practices in Denmark beginning in 2011 and was discontinued in 2014. Data were analyzed between March 2019 and March 2020. Main Outcomes and Measures: The main outcome was total health care costs, and the secondary outcomes were primary care, medication, nonhospital specialist, and hospital (total, outpatient, inpatient, and emergency) costs. Regression models were used to estimate EHR/DMP-associated percentage differences in patients' annual health care treatment costs across health care treatment categories. All models included general practice-level fixed effects and patient-level controls. Two-part models examined robustness of estimated associations for hospital cost categories. Results: Of 33 970 patients included in the analysis, 15 953 (8016 [50.2%] male; mean [SD] age, 59.9 [13.3] years) attended 244 general practices that used the system at a high level, and 18 017 (9291 [51.6%] male; mean [SD] age, 60.0 [12.9] years) attended 344 general practices that had never used the system. Use of the EHR/DMP was associated with 3.2% higher (95% CI, 0.9%-5.6%) annual general practice treatment costs and with 6.4% lower (95% CI, -11.6% to -1.2%) annual hospital emergency visit costs. The associations between EHR/DMP use and annual total hospital (percentage difference, -0.8%; 95% CI, -7.5% to 5.7%) and total health care (percentage difference, -0.1%; 95% CI, -2.1% to 1.9%) cost changes were not statistically significant. Conclusions and Relevance: Among patients with type 2 diabetes, attendance at general practices that used an EHR/DMP was associated with a moderate increase in primary care costs and a reduction in emergency hospital visit costs but no significant change in total health care costs. Large health care cost savings associated with improved use of EHR-based disease management systems should not be expected to be realized in the short term.

Assessing the incremental costs and savings of introducing electronic immunization registries and stock management systems: evidence from the better immunization data initiative in Tanzania and Zambia.

INTRODUCTION: Poor data quality and use have been identified as key challenges that negatively impact immunization programs in low- and middle-income countries (LMICs). In addition, many LMICs have a shortage of health personnel, and staff available have demanding workloads across several health programs. In order to address these challenges, the Better Immunization Data (BID) Initiative introduced a comprehensive suite of interventions, including an electronic immunization registry aimed at improving the quality, reliability, and use of immunization data in Arusha Region, Tanzania, and Southern Province of Zambia. The objective of this study was to assess the incremental costs of implementing the BID interventions in immunization programs in these two countries. METHODS: We conducted a micro-costing study to estimate the economic costs of service delivery and logistics for the immunization programs with and without the BID interventions in a sample of health facilities and district program offices in each country. Structured questionnaires were used to interview immunization program staff at baseline and post-intervention to assess annual resource utilization and costs. Cost outcomes were reported as annual cost per facility, cost per district and changes in resource costs due to the BID interventions (i.e., costs associated with health worker time, start-up costs, etc.). Sub-group analyses were conducted by health facility to assess variation in costs by volume served and location (rural versus urban). One-way sensitivity analyses were conducted to identify influential parameters. Costs were reported in 2017 US dollars. RESULTS: In Tanzania, the average annual reduction in resource costs was estimated at US$10,236 (95% confidence interval: $7,606-$14,123) per health facility, while the average annual reduction in resource costs per district was estimated at $6,542. In Zambia, reductions in resource costs were modest at an estimated annual average of $628 (95% confidence interval: $209-$1,467) per health facility and $236 per district. Resource cost reductions were mainly attributable to reductions in time required for immunization service delivery and reporting. One-way sensitivity analyses identified key cost drivers, all related to reductions in health worker time. CONCLUSION: The introduction of electronic immunization registries and stock management systems through the BID Initiative was estimated to result in potential time savings in both countries. Health worker time was the area most impacted by the interventions, suggesting that time savings gained could be utilized for patient care. Information generated through this work provides evidence to inform stakeholder decision-making for scale-up of the BID interventions in Tanzania and Zambia and to inform other Low-to-Middle-Income Countries (LMICs) interested in similar interventions.

Association of the Meaningful Use Electronic Health Record Incentive Program With Health Information Technology Venture Capital Funding.

Importance: Although the Health Information Technology for Economic and Clinical Health (HITECH) Act has accelerated electronic health record (EHR) adoption since its passage, clinician satisfaction with EHRs remains low, and the association of HITECH with health care information technology (IT) entrepreneurship has remained largely unstudied. Objective: To determine whether the passage of the HITECH Act was associated with an increase in key measures of health care IT entrepreneurship. Design, Setting, and Participants: This economic evaluation of venture capital (VC) activity in the US from 2000 to 2019 examined funding trends in health care IT, EHR-related companies, and all VC investments before and after the passage of HITECH. A difference-in-differences analysis compared investments in health care IT companies with those of companies in 3 categories: general health care (non-IT), IT (non-health care), and all US VC transactions. Data were analyzed from September 2018 to August 2019. Exposures: Venture capital funding received by US companies before and after the HITECH Act. Main Outcomes and Measures: Venture capital investment in health care IT companies and the proportion of those investments going to seed-stage companies, a proxy for very early-stage entrepreneurship and innovation. Results: The data included 70 982 investments, of which 9425 (13.3%) were seed stage, 10 706 (15.1%) were early stage, and 50 851 (71.6%) were growth stage. After passage of the HITECH Act, investment in both health care IT companies and EHR-related companies increased at a rate much faster (13.0% and 11.4%, respectively) than VC as a whole (6.9%). In addition, the proportion of investments going to seed-stage health care IT companies increased compared with both overall VC investments and non-IT health care investments. Health care IT companies saw increased probabilities of transactions being seed-stage of 5.1% (SE, 2.2%; 95% CI, 0.8% to 9.3%; P = .02) compared with the entire sample of VC transactions and 13.6% (SE, 1.9%; 95% CI, 9.9% to 17.2%; P < .001) compared with non-IT health care VC transactions. Health care IT had essentially 0 increased probability of a transaction being seed stage compared with IT companies outside health care (-0.8% probability; SE, 2.4%; 95% CI, -5.4% to 3.9%; P = .75). Conclusions and Relevance: Although widespread clinician dissatisfaction with EHR systems remains a challenge, the HITECH Act's incentive program may have catalyzed early-stage entrepreneurship in health care IT, suggesting an important role for incentives in promoting innovation.

The adoption of electronic medical record by physicians: A PRISMA-compliant systematic review.

BACKGROUND: The electronic medical record (EMR) is considered to be a vital tool of information and communication technology (ICT) to improve the quality of medical care, but the limited adoption of EMR by physicians results in a considerable warning to its successful implementation. The purpose of the present review is to explore and identify the potential barriers perceived by physicians in the adoption of EMR. METHODS: The systematic review was carried out based on literature published in 5 databases: PubMed, Web of Science, Scopus, The Cochrane Library, and ProQuest from 2014 to 2018, concerning barriers perceived by physicians to the adoption of EMR. RESULTS: The present study incorporates 26 articles based on their appropriateness out of 1354 for the final analysis. Authors explore 25 barriers that appeared 112 times in the literature for the present review; the top 5 frequently mentioned barriers are privacy and security concerns, high start-up cost, workflow changes, system complexity, lack of reliability, and interoperability. CONCLUSION: The systematic review explores that physicians deal with different barriers as they intend to adopt EMR. The barriers explored in the present review are the potential to play as references for the implementer of the EMR system. Thus an attentive analysis of the definitive condition is needed before relevant intervention is determined as the implementation of EMR must be considered as a behavioral change in medical practice.

Clinical Decision Support for Recognizing and Managing Hypertensive Blood Pressure in Youth: No Significant Impact on Medical Costs.

OBJECTIVE: To evaluate economic costs from the health system perspective of an electronic health record-based clinical decision support (CDS) tool, TeenBP, designed to assist in the recognition and management of hypertension in youth. METHODS: Twenty primary care clinics within an integrated health system were randomized to the TeenBP CDS or usual care (UC), with patient enrollment from 4/15/14 to 4/14/16. The 12-month change in standardized medical care costs for insured patients aged 10 to 17 years without prior hypertension were calculated for each study arm. The primary analysis compared patients with ≥1 visit with blood pressure (BP) ≥95th percentile (isolated hypertensive BP), and secondary analyses compared patients with ≥3 visits within one year with BP ≥95th percentile (incident hypertension). Generalized estimating equation models estimated the difference-in-differences in costs between groups over time. RESULTS: Among 925 insured patients with an isolated hypertensive BP, the pre-to-post change in overall costs averaged $22 more for TeenBP CDS versus UC patients over 12 months, but this difference was not statistically significant (P = .723). Among 159 insured patients with incident hypertension, the pre-to-post change in overall costs over 12 months was higher by $227 per person on average for TeenBP CDS versus UC patients, but this difference also was not statistically significant (P = .313). CONCLUSIONS: The TeenBP CDS intervention was previously found to significantly improve identification and management of hypertensive BP in youth, and in this study, we find that this tool did not significantly increase care costs in its first 12 months of clinical use.

The Financial and Clinical Impact of an Electronic Health Record Integrated Pathway in Elective Colon Surgery.

BACKGROUND: Enhanced Recovery after Surgery (ERAS) pathways have been shown to reduce length of stay, but there have been limited evaluations of novel electronic health record (EHR)-based pathways. Compliance with ERAS in real-world settings has been problematic. OBJECTIVE: This article evaluates a novel ERAS electronic pathway (E-Pathway) activity integrated with the EHR for patients undergoing elective colorectal surgery. METHODS: We performed a retrospective cohort study of surgical patients age ≥ 18 years hospitalized from March 1, 2013 to August 31, 2016. The primary cohort consisted of patients admitted for elective colon surgery. We also studied a control group of patients undergoing other elective procedures. The E-Pathway was implemented on March 2, 2015. The primary outcome was variable costs per case. Secondary outcomes were observed to expected length of stay and 30-day readmissions. RESULTS: We included 823 (470 and 353 in the pre- and postintervention, respectively) colon surgery patients and 3,415 (1,819 and 1,596 in the pre- and postintervention) surgical control patients in the study. Among the colon surgery cohort, there was statistically significant (p = 0.040) decrease in costs of 1.28% (95% confidence interval [CI] 0.06-2.48%) per surgical encounter per month over the 18-month postintervention period, amounting to a total savings of $2,730 per patient at the 1-year postintervention period. The surgical control group had a nonsignificant (p = 0.231) decrease in monthly costs of 0.57% (95% CI 1.51 to - 0.37%) postintervention. For the 30-day readmission rates, there were no statistically significant changes in either cohort. CONCLUSION: Our study is the first to report on the reduced costs after implementation of a novel sophisticated E-Pathway for ERAS. E-Pathways can be a powerful vehicle to support ERAS adoption.

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.

Predicting dementia with routine care EMR data.

Our aim is to develop a machine learning (ML) model that can predict dementia in a general patient population from multiple health care institutions one year and three years prior to the onset of the disease without any additional monitoring or screening. The purpose of the model is to automate the cost-effective, non-invasive, digital pre-screening of patients at risk for dementia. Towards this purpose, routine care data, which is widely available through Electronic Medical Record (EMR) systems is used as a data source. These data embody a rich knowledge and make related medical applications easy to deploy at scale in a cost-effective manner. Specifically, the model is trained by using structured and unstructured data from three EMR data sets: diagnosis, prescriptions, and medical notes. Each of these three data sets is used to construct an individual model along with a combined model which is derived by using all three data sets. Human-interpretable data processing and ML techniques are selected in order to facilitate adoption of the proposed model by health care providers from multiple institutions. The results show that the combined model is generalizable across multiple institutions and is able to predict dementia within one year of its onset with an accuracy of nearly 80% despite the fact that it was trained using routine care data. Moreover, the analysis of the models identified important predictors for dementia. Some of these predictors (e.g., age and hypertensive disorders) are already confirmed by the literature while others, especially the ones derived from the unstructured medical notes, require further clinical analysis.

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.