The wave has finally broken: now what?

Defining Documentation Burden (DocBurden) and Excessive DocBurden for All Health Professionals: A Scoping Review

OBJECTIVES

 Efforts to reduce documentation burden (DocBurden) for all health professionals (HP) are aligned with national initiatives to improve clinician wellness and patient safety. Yet DocBurden has not been precisely defined, limiting national conversations and rigorous, reproducible, and meaningful measures. Increasing attention to DocBurden motivated this work to establish a standard definition of DocBurden, with the emergence of excessive DocBurden as a term.

METHODS

 We conducted a scoping review of DocBurden definitions and descriptions, searching six databases for scholarly, peer-reviewed, and gray literature sources, using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extensions for Scoping Review guidance. For the concept clarification phase of work, we used the American Nursing Informatics Association's Six Domains of Burden Framework.

RESULTS

 A total of 153 articles were included based on a priori criteria. Most articles described a focus on DocBurden, but only 18% (n = 28) provided a definition. We define excessive DocBurden as the stress and unnecessarily heavy work an HP or health care team experiences when usability of documentation systems and documentation activities (i.e., generation, review, analysis, and synthesis of patient data) are not aligned in support of care delivery. A negative connotation was attached to burden without a neutral state in included sources, which does not align with dictionary definitions of burden.

CONCLUSION

 Existing literature does not distinguish between a baseline or required task load to conduct patient care resulting from usability issues (DocBurden), and the unnecessarily heavy tasks and requirements that contribute to excessive DocBurden. Our definition of excessive DocBurden explicitly acknowledges this distinction, to support development of meaningful measures for understanding and intervening on excessive DocBurden locally, nationally, and internationally.

Applications of Machine Learning Using Electronic Medical Records in Spine Surgery

Developments in machine learning in recent years have precipitated a surge in research on the applications of artificial intelligence within medicine. Machine learning algorithms are beginning to impact medicine broadly, and the field of spine surgery is no exception. Electronic medical records are a key source of medical data that can be leveraged for the creation of clinically valuable machine learning algorithms. This review examines the current state of machine learning using electronic medical records as it applies to spine surgery. Studies across the electronic medical record data domains of imaging, text, and structured data are reviewed. Discussed applications include clinical prognostication, preoperative planning, diagnostics, and dynamic clinical assistance, among others. The limitations and future challenges for machine learning research using electronic medical records are also discussed.

Improving Oral-Systemic Healthcare through the Interoperability of Electronic Medical and Dental Records: An Exploratory Study

OBJECTIVES

Electronic health records (EHRs) are rarely shared among medical and dental providers. The purpose of this study was to assess current information sharing and the value of improved electronic information sharing among physicians and dentists in Germany and the United States.

MATERIALS AND METHODS

A survey was validated and distributed electronically to physicians and dentists at four academic medical centers. Respondents were asked anonymously about EHR use and the medical and dental information most valuable to their practice.

RESULTS

There were 118 responses, a response rate of 23.2%. The majority (63.9%) of respondents were dentists and the remainder were physicians. Most respondents (66.3%) rated the importance of sharing information an 8 or above on a 1-to-10 Likert scale. Dentists rated the importance of sharing clinical information significantly higher than physicians (p = 0.0033). Most (68.5%) providers could recall an instance when access to medical or dental information would have improved patient care. Dentists were significantly more likely to report this than physicians (p = 0.008).

CONCLUSION

Physicians would value a standardized measure of "oral health" in their EHR. Dentists were less likely to find specific medical diagnostic test results of value. Both dentists and physicians agreed that oral-systemic health was important; interoperable EHRs could facilitate information transfer between providers and enhance research on oral-systemic health connections. Both dentists and physicians believed that an interoperable EHR would be useful to practice, but desired information was different between these groups. Refinement of the information needed for shared practice is required.

Presentation of laboratory test results in patient portals: influence of interface design on risk interpretation and visual search behaviour

Background

Patient portals are considered valuable instruments for self-management of long term conditions, however, there are concerns over how patients might interpret and act on the clinical information they access. We hypothesized that visual cues improve patients’ abilities to correctly interpret laboratory test results presented through patient portals. We also assessed, by applying eye-tracking methods, the relationship between risk interpretation and visual search behaviour.

Methods

We conducted a controlled study with 20 kidney transplant patients. Participants viewed three different graphical presentations in each of low, medium, and high risk clinical scenarios composed of results for 28 laboratory tests. After viewing each clinical scenario, patients were asked how they would have acted in real life if the results were their own, as a proxy of their risk interpretation. They could choose between: 1) Calling their doctor immediately (high interpreted risk); 2) Trying to arrange an appointment within the next 4 weeks (medium interpreted risk); 3) Waiting for the next appointment in 3 months (low interpreted risk). For each presentation, we assessed accuracy of patients’ risk interpretation, and employed eye tracking to assess and compare visual search behaviour.

Results

Misinterpretation of risk was common, with 65% of participants underestimating the need for action across all presentations at least once. Participants found it particularly difficult to interpret medium risk clinical scenarios. Participants who consistently understood when action was needed showed a higher visual search efficiency, suggesting a better strategy to cope with information overload that helped them to focus on the laboratory tests most relevant to their condition.

Conclusions

This study confirms patients’ difficulties in interpreting laboratories test results, with many patients underestimating the need for action, even when abnormal values were highlighted or grouped together. Our findings raise patient safety concerns and may limit the potential of patient portals to actively involve patients in their own healthcare.

Electronic supplementary material

The online version of this article (10.1186/s12911-018-0589-7) contains supplementary material, which is available to authorized users.

Bringing functional status into a big data world: Validation of national Veterans Affairs functional status data

BACKGROUND

The ability to perform basic daily activities ("functional status") is key to older adults' quality of life and strongly predicts health outcomes. However, data on functional status are seldom collected during routine clinical care in a way that makes them available for clinical use and research.

OBJECTIVES

To validate functional status data that Veterans Affairs (VA) medical centers recently started collecting during routine clinical care, compared to the same data collected in a structured research setting.

DESIGN

Prospective validation study.

SETTING

Seven VA medical centers that collected complete data on 5 activities of daily living (ADLs) and 8 instrumental activities of daily living (IADLs) from older patients attending primary care appointments.

PARTICIPANTS

Randomly selected patients aged 75 and older who had new ADL and IADL data collected during a primary care appointment (N = 252). We oversampled patients with ADL dependence and applied these sampling weights to our analyses.

MEASUREMENTS

Telephone-based interviews using a validated measure to assess the same 5 ADLs and 8 IADLs.

RESULTS

Mean age was 83 years, 96% were male, and 75% were white. Of 85 participants whom VA data identified as dependent in 1 or more ADLs, 74 (87%) reported being dependent by interview; of 167 whom VA data identified as independent in ADLs, 149 (89%) reported being independent. The sample-weighted sensitivity of the VA data for identifying ADL dependence was 45% (95% CI, 29%, 62%) compared to the reference standard, the specificity was 99% (95% CI, 99%, >99%), and the positive predictive value was 87% (95% CI, 79%, 93%). The weighted kappa statistic was 0.55 (95% CI, 0.41, 0.68) for the agreement between VA data and research-collected data in identifying ADL dependence.

CONCLUSION

Overall agreement of VA functional status data with a reference standard was moderate, with fair sensitivity but high specificity and positive predictive value.

Measuring Health Literacy Levels of a Patient Portal Using the CDC's Clear Communication Index

Once promised to revolutionize health care, patient portals have yet to fully achieve their potential of improving communication between patients and clinicians. In fact, their use can be detrimental to many consumers due to their limited literacy and numeracy skills. This study demonstrates how applying the Centers for Disease Control and Prevention's Clear Communication Index to a patient portal can be used to identify opportunities for better patient communication and engagement. The Clear Communication Index contains 20 scored items grounded in communication science to enhance patients' understanding of health information. The Index was applied to one portal used by over 80,000 patients in 12 primary care practices: MyPreventiveCare. This portal was selected because of its ability to personalize preventive and chronic care information by internally using content featuring health literacy principles and linking patients' externally to trusted materials. Thirty-seven frequently visited portal pages (17 internal and 20 external) were evaluated based on the Index's four main variables. The overall score for the portal was 72%, which falls below the 90% threshold to be considered clear communication. Internal content scored higher than external (75% vs. 69%). Specific changes to improve the score include simpler language, more specific examples, and clearer numerical explanations.

Integrated Nationwide Electronic Health Records system: Semi-distributed architecture approach

BACKGROUND

The integration of heterogeneous electronic health records systems by building an interoperable nationwide electronic health record system provides undisputable benefits in health care, like superior health information quality, medical errors prevention and cost saving.

OBJECTIVE

This paper proposes a semi-distributed system architecture approach for an integrated national electronic health record system incorporating the advantages of the two dominant approaches, the centralized architecture and the distributed architecture.

METHODS

The high level design of the main elements for the proposed architecture is provided along with diagrams of execution and operation and data synchronization architecture for the proposed solution.

RESULTS

The proposed approach effectively handles issues related to redundancy, consistency, security, privacy, availability, load balancing, maintainability, complexity and interoperability of citizen's health data.

CONCLUSIONS

The proposed semi-distributed architecture offers a robust interoperability framework without healthcare providers to change their local EHR systems. It is a pragmatic approach taking into account the characteristics of the Greek national healthcare system along with the national public administration data communication network infrastructure, for achieving EHR integration with acceptable implementation cost.

New Unintended Adverse Consequences of Electronic Health Records

Although the health information technology industry has made considerable progress in the design, development, implementation, and use of electronic health records (EHRs), the lofty expectations of the early pioneers have not been met. In 2006, the Provider Order Entry Team at Oregon Health & Science University described a set of unintended adverse consequences (UACs), or unpredictable, emergent problems associated with computer-based provider order entry implementation, use, and maintenance. Many of these originally identified UACs have not been completely addressed or alleviated, some have evolved over time, and some new ones have emerged as EHRs became more widely available. The rapid increase in the adoption of EHRs, coupled with the changes in the types and attitudes of clinical users, has led to several new UACs, specifically: complete clinical information unavailable at the point of care; lack of innovations to improve system usability leading to frustrating user experiences; inadvertent disclosure of large amounts of patient-specific information; increased focus on computer-based quality measurement negatively affecting clinical workflows and patient-provider interactions; information overload from marginally useful computer-generated data; and a decline in the development and use of internally-developed EHRs. While each of these new UACs poses significant challenges to EHR developers and users alike, they also offer many opportunities. The challenge for clinical informatics researchers is to continue to refine our current systems while exploring new methods of overcoming these challenges and developing innovations to improve EHR interoperability, usability, security, functionality, clinical quality measurement, and information summarization and display.

Maximizing Time with the Patient: the Creative Concept of a Physician Scribe

The universal implementation of electronic health records has transformed the practice of medicine. However, there is a general perception that electronic health records impede effective communication with patients. Clinicians feel that they paradoxically spend more time doing nonclinical tasks like documentation and writing orders and less time interacting with their patients. This article evaluates the role of medical scribes in augmenting physician workflows and examines if employing a scribe can enhance physician-patient interactions.

Nursing Home Provider Perceptions of Telemedicine for Reducing Potentially Avoidable Hospitalizations

OBJECTIVE

Potentially avoidable hospitalizations (PAHs) of nursing home (NH) residents are common, costly, and can have significant economic consequences. Telemedicine has been shown to reduce emergency department and hospitalization of NH residents, yet adoption has been limited and little is known about provider's perceptions and desired functionality for a telemedicine program. The goal of this study was to survey a nationally representative sample of NH physicians and advanced practice providers to quantify provider perceptions and desired functionality of telemedicine in NHs to reduce PAHs.

DESIGN/SETTING/PARTICIPANTS/MEASUREMENT

We surveyed physicians and advanced practice providers who attended the 2015 AMDA-The Society for Post-Acute and Long-Term Care Medicine Annual Conference about their perceptions of telemedicine and desired attributes of a telemedicine program for managing acute changes of condition associated with PAHs.

RESULTS

We received surveys from 435 of the 947 conference attendees for a 45.9% response rate. Providers indicated strong agreement with the potential for telemedicine to improve timeliness of care and fill existing service gaps, while disagreeing most with the ideas that telemedicine would reduce care effectiveness and jeopardize resident privacy. Responses indicated clear preferences for the technical requirements of such a program, such as high-quality audio and video and inclusion of an electronic stethoscope, but with varying opinions about who should be performing the consults.

CONCLUSION

Among NH providers, there is a high degree of confidence in the potential for a telemedicine solution to PAHs in NHs, as well as concrete views about features of such a solution. Such consensus could be used to drive an approach to telemedicine for PAHs in NHs that retains the theoretical strengths of telemedicine and reflects the needs of facilities, providers, and patients. Further research is needed to objectively study the impact of successful telemedicine implementations on patient, provider, and economic outcomes.

Bridging the Gap: A Collaborative Approach to Health Information Management and Informatics Education

BACKGROUND

Health Information Management (HIM) and Health Informatics (HI) were very separate professions when they were first formed. However, with the increasing adoption of electronic health records, the interests of the two fields have become more aligned.

OBJECTIVES

To describe the evolution of a joint master's program in health informatics(HI) and health information management (HIM).

METHODS

After analyzing workforce needs, and reviewing both CAHIIM accreditation requirements and existing curricular offerings in separate programs in HIM and HI, a joint program was developed.

RESULTS

An HI master's program with a core curriculum for all students and tracks in Data Analytics, User Experience and Advanced Practice HIM was developed. A model for a comprehensive examination, based on the CAHIIM competencies, to be administered prior to and after the core curriculum was also developed.

CONCLUSIONS

A core and track curriculum that incorporates HIM education as part of the Master of Science of Health Informatics provides a feasible roadmap for the future as HIM and HI become more closely aligned.

The double-edged sword of electronic health records: implications for patient disclosure

Objective Electronic health record (EHR) systems are linked to improvements in quality of care, yet also privacy and security risks. Results from research studies are mixed about whether patients withhold personal information from their providers to protect against the perceived EHR privacy and security risks. This study seeks to reconcile the mixed findings by focusing on whether accounting for patients’ global ratings of care reveals a relationship between EHR provider-use and patient non-disclosure.

Materials and methods A nationally representative sample from the 2012 Health Information National Trends Survey was analyzed using bivariate and multivariable logit regressions to examine whether global ratings of care suppress the relationship between EHR provider-use and patient non-disclosure.

Results 13% of respondents reported having ever withheld information from a provider because of privacy/security concerns. Bivariate analysis showed that withholding information was unrelated to whether respondents’ providers used an EHR. Multivariable analysis showed that accounting for respondents’ global ratings of care revealed a positive relationship between having a provider who uses an EHR and withholding information.

Discussion After accounting for global ratings of care, findings suggest that patients may non-disclose to providers to protect against the perceived EHR privacy and security risks. Despite evidence that EHRs inhibit patient disclosure, their advantages for promoting quality of care may outweigh the drawbacks.

Conclusions Clinicians should leverage the EHR's value in quality of care and discuss patients’ privacy concerns during clinic visits, while policy makers should consider how to address the real and perceived privacy and security risks of EHRs.

Preparing Electronic Clinical Data for Quality Improvement and Comparative Effectiveness Research: The SCOAP CERTAIN Automation and Validation Project

Background:

The field of clinical research informatics includes creation of clinical data repositories (CDRs) used to conduct quality improvement (QI) activities and comparative effectiveness research (CER). Ideally, CDR data are accurately and directly abstracted from disparate electronic health records (EHRs), across diverse health-systems.

Objective:

Investigators from Washington State’s Surgical Care Outcomes and Assessment Program (SCOAP) Comparative Effectiveness Research Translation Network (CERTAIN) are creating such a CDR. This manuscript describes the automation and validation methods used to create this digital infrastructure.

Methods:

SCOAP is a QI benchmarking initiative. Data are manually abstracted from EHRs and entered into a data management system. CERTAIN investigators are now deploying Caradigm’s Amalga™ tool to facilitate automated abstraction of data from multiple, disparate EHRs. Concordance is calculated to compare data automatically to manually abstracted. Performance measures are calculated between Amalga and each parent EHR. Validation takes place in repeated loops, with improvements made over time. When automated abstraction reaches the current benchmark for abstraction accuracy - 95% - itwill ‘go-live’ at each site.

Progress to Date:

A technical analysis was completed at 14 sites. Five sites are contributing; the remaining sites prioritized meeting Meaningful Use criteria. Participating sites are contributing 15–18 unique data feeds, totaling 13 surgical registry use cases. Common feeds are registration, laboratory, transcription/dictation, radiology, and medications. Approximately 50% of 1,320 designated data elements are being automatically abstracted—25% from structured data; 25% from text mining.

Conclusion:

In semi-automating data abstraction and conducting a rigorous validation, CERTAIN investigators will semi-automate data collection to conduct QI and CER, while advancing the Learning Healthcare System.