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Modernizing health information technology: lessons from healthcare delivery systems.

ABSTRACT: Objective:To identify recurrent themes, insights, and process recommendations from stakeholders in US organizations during the health information technology (HIT) modernization of an existing electronic health record (EHR) to a commercial-off-the-shelf product in both resource-plentiful settings and in a resource-constrained environment, the US Indian Health Service. Materials and Methods:Thirteen qualitative interviews with stakeholders in various organizations were conducted about HIT modernization efforts. Using a Theory of Change framework, recurring themes were identified and analyzed. Results:The interviewees emphasized the importance of organizational and process revision during modernization, converting historical data, and clinical and leadership involvement. HIT implementation required technological and infrastructure redesign, additional training, and workflow reconfiguration. Motivations for modernization included EHR usability dissatisfaction, revenue enhancements, and improved clinical operations. Decision-making strategies, primarily during HIT selection, included meetings with stakeholders. Successful modernization resulted in improvements in clinical operations, patient experience, and financial outlay. Discussion:Existing implementation frameworks fail to provide experiential feedback, such as implementation challenges, like data conversion, regulatory, functionality, and interoperability requirements. Regardless of the healthcare environment, HIT modernization requires the engagement of leadership and end-users during HIT selection and through all stages of the implementation to prepare people, processes, and technology. Organizations must iteratively define the technological, infrastructure, organizational, and workflow changes required for a successful HIT modernization effort. Conclusions:HIT modernization is an opportunity for organizational and technological change. Successful modernization requires a comprehensive, intentional, well-communicated, and multidisciplinary approach. Resource-constrained environments have the additional challenges of financial burdens, limited staffing, and unstable infrastructure.

SUBMITTER: Amlung J

PROVIDER: S-EPMC7660948 | biostudies-literature | 2020 Oct

REPOSITORIES: biostudies-literature

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Modernizing health information technology: lessons from healthcare delivery systems.

Amlung Joseph J Huth Hannah H Cullen Theresa T Sequist Thomas T

JAMIA open 20200903 3

<h4>Objective</h4>To identify recurrent themes, insights, and process recommendations from stakeholders in US organizations during the health information technology (HIT) modernization of an existing electronic health record (EHR) to a commercial-off-the-shelf product in both resource-plentiful settings and in a resource-constrained environment, the US Indian Health Service.<h4>Materials and methods</h4>Thirteen qualitative interviews with stakeholders in various organizations were conducted abo ...[more]

PMID: 33215072

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Project description:IntroductionThis article is part of the Focus Theme of Methods of Information in Medicine on the German Medical Informatics Initiative. "Smart Medical Information Technology for Healthcare (SMITH)" is one of four consortia funded by the German Medical Informatics Initiative (MI-I) to create an alliance of universities, university hospitals, research institutions and IT companies. SMITH's goals are to establish Data Integration Centers (DICs) at each SMITH partner hospital and to implement use cases which demonstrate the usefulness of the approach.ObjectivesTo give insight into architectural design issues underlying SMITH data integration and to introduce the use cases to be implemented.Governance and policiesSMITH implements a federated approach as well for its governance structure as for its information system architecture. SMITH has designed a generic concept for its data integration centers. They share identical services and functionalities to take best advantage of the interoperability architectures and of the data use and access process planned. The DICs provide access to the local hospitals' Electronic Medical Records (EMR). This is based on data trustee and privacy management services. DIC staff will curate and amend EMR data in the Health Data Storage.Methodology and architectural frameworkTo share medical and research data, SMITH's information system is based on communication and storage standards. We use the Reference Model of the Open Archival Information System and will consistently implement profiles of Integrating the Health Care Enterprise (IHE) and Health Level Seven (HL7) standards. Standard terminologies will be applied. The SMITH Market Place will be used for devising agreements on data access and distribution. 3LGM2 for enterprise architecture modeling supports a consistent development process.The DIC reference architecture determines the services, applications and the standardsbased communication links needed for efficiently supporting the ingesting, data nourishing, trustee, privacy management and data transfer tasks of the SMITH DICs. The reference architecture is adopted at the local sites. Data sharing services and the market place enable interoperability.Use casesThe methodological use case "Phenotype Pipeline" (PheP) constructs algorithms for annotations and analyses of patient-related phenotypes according to classification rules or statistical models based on structured data. Unstructured textual data will be subject to natural language processing to permit integration into the phenotyping algorithms. The clinical use case "Algorithmic Surveillance of ICU Patients" (ASIC) focusses on patients in Intensive Care Units (ICU) with the acute respiratory distress syndrome (ARDS). A model-based decision-support system will give advice for mechanical ventilation. The clinical use case HELP develops a "hospital-wide electronic medical record-based computerized decision support system to improve outcomes of patients with blood-stream infections" (HELP). ASIC and HELP use the PheP. The clinical benefit of the use cases ASIC and HELP will be demonstrated in a change of care clinical trial based on a step wedge design.DiscussionSMITH's strength is the modular, reusable IT architecture based on interoperability standards, the integration of the hospitals' information management departments and the public-private partnership. The project aims at sustainability beyond the first 4-year funding period.

Project description:BackgroundE-mental healthcare is the convergence of digital technologies with mental health services. It has been developed to fill a gap in healthcare for people who need mental wellbeing support that may not otherwise receive psychological treatment. With an increasing number of e-mental healthcare and research, this study aimed to investigate the trends of an e-mental health research field that integrates interdisciplinary fields and to examine the information technologies is being used in mental healthcare. To achieve the research objectives, bibliometric analysis, information extraction, and network analysis were applied to analyze e-mental health research data.MethodsE-mental health research data were obtained from 3663 bibliographic records from the Web of Science (WoS) and 3172 full-text articles from PubMed Central (PMC). The text mining techniques used for this study included bibliometric analysis, information extraction, and visualization.ResultsThe e-mental health research topic trends primarily involved e-health care services and medical informatics research. The clusters of research comprised 16 clusters, which refer to mental sickness, e-health, diseases, information technology (IT), and self-management. The information extraction analysis revealed a triple relation with IT and biomedical domains. Betweenness centrality was used as a measure of network graph centrality, based on the shortest path to rank the important entities and triple relation; nodes with higher betweenness centrality had greater control over the network because more information passes through that node. The IT entity-relations of "mobile" had the highest score at 0.043466. The top pairs were related to depression, mobile health, and text message.ConclusionsE-mental related publications were associated with various research fields, such as nursing, psychology, medical informatics, computer science, telecommunication, and healthcare innovation. We found that trends in e-mental health research are continually rising. These trends were related to the internet of things (IoT) and mobile applications (Apps), which were applied for mental healthcare services. Moreover, producing AI and machine learning for e-mental healthcare were being studied. This work supports the appropriate approaches and methods of e-mental health research that can help the researcher to identify important themes and choose the best fit with their own survey work.

Project description:BackgroundDemographic changes in the pattern of disease burden, escalating health expenditures and inequitable access to healthcare are global challenges. Irrespective of their level of development, all countries need to reform their health systems to prepare for the future emerging health needs, in order to meet their commitments of health systems strengthening, universal health coverage (UHC) and explicit targets in the Sustainable Development Goals (SDGs). We propose three core principles for the future health system as described herein. A health system is not simply a 'cure delivery machine' but part of a 'social security system' that engages all stakeholders through a shared vision and value of health and well-being, not merely an absence of diseases. The future health system shall provide people-centred, affordable care, tailored to the individual's needs, accessible at any time and any place, and reflect the notion of leaving no one behind through a life course approach - underpinned by the SDGs. Information and communications technology (ICT) offers the potential to facilitate the realisation of these principles by improving the information flow between different parts of the health system through electronic means. We introduce Japan's new data platform - Person-centred Open PLatform for wellbeing (PeOPLe) - planned to be introduced in 2020 as one example of an ICT-based intervention to realise the three proposed principles. PeOPLe integrates data collected throughout the life course to enable all people to receive affordable, personalised health and social care at any time and any place throughout their lifetime. Furthermore, we discuss the applicability of these principles and PeOPLe to the health systems context of Thailand and the Philippines, including elaborations on ICT transformation challenges.ConclusionCurrent rising momentum and scale for ICTs in the UHC era offers a great opportunity to make a difference for countries. The PeOPLe concept is not only relevant to resource-rich countries; its applicability to other Asian countries could be feasible though it will need to be adapted to the various country contexts. We hope that this paper contributes to wider discussion around policy choices of ICT application for future health systems strengthening and UHC in order to achieve the SDGs.

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Modernizing health information technology: lessons from healthcare delivery systems.

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Modernizing health information technology: lessons from healthcare delivery systems.

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