Achieving rapid and significant results in healthcare services by using the theory of constraints.

Lack of timeliness and capacity are seen as fundamental problems that jeopardise healthcare delivery systems everywhere. Many believe the shortage of medical providers is causing this timeliness problem. This action research presents how one doctor implemented the theory of constraints (TOC) to improve the throughput (quantity of patients treated) of his ophthalmology imaging practice by 64% in a few weeks with little to no expense. The five focusing steps (5FS) guided the TOC implementation - which included the drum-buffer-rope scheduling and buffer management - and occurred in a matter of days. The implementation provided significant bottom-line results almost immediately. This article explains each step of the 5FS in general terms followed by specific applications to healthcare services, as well as the detailed use in this action research. Although TOC successfully addressed the practice problems, this implementation was not sustained after the TOC champion left the organisation. However, this drawback provided valuable knowledge. The article provides insightful knowledge to help readers implement TOC in their environments to provide immediate and significant results at little to no expense.

Outcomes of managing healthcare services using the Theory of Constraints: A systematic review.

Despite ever-increasing resources devoted to healthcare, lack of capacity and timeliness are still chronic problems worldwide. This systematic review aims to present an overview of the Theory of Constraints (TOC) implementations in healthcare services and their outcomes. We analysed 42 TOC implementations (15 full-text articles, 12 video proceedings, and 2 theses/disserations) from major scientific electronic databases and TOC International Certification Organization Conferences. All implementations reported positive outcomes, both tangible and intangible. The two main improvements reported by authors were in productivity (98%; n = 41) - more patients treated - and in the timeliness of care (83%; n = 35). Furthermore, the selected studies reported dramatic improvements: 50% mean reductions in patient waiting time; 38% reduction in patient length of stay; 43% mean increase in operating room productivity and 34% mean increase in throughput. TOC implementations attained positive results in all levels of the health and social care chain. Most TOC recommendations and changes showed almost immediate results and required little or no additional cost to implement. Evidence supports TOC as a promising solution for the chronic healthcare problem, improving quality and timeliness, both necessary conditions for providing effective healthcare.

Identifying and Addressing the Underlying Core Problems in Healthcare Environments: An Illustration Using an Emergency Department Game.

The emergency department (ED) crowding is a critical healthcare issue worldwide that leads to long waits and poorer healthcare outcomes. Goldratt's theory of constraints (TOC) has been used effectively to improve such problematic environments for more than three decades. While most TOC solutions are simple, with many viewing them as purely common sense, they represent paradigm shifts in how to manage complex, uncertain, and silo environments. Goldratt used a simple dice game with a straight flow (I-shape) to illustrate the impact of dependent resources and statistical fluctuations in managing resources. Additionally, games help to overcome resistance to change and gain ownership by having participants develop their solutions. This new cooperative game illustrates an ED environment where patients may follow different care pathways according to their clinical needs, timeliness of care is measured in minutes, the demand is highly uncertain, and treatment must frequently start almost immediately. A Monte Carlo simulation validated the TOC solution to this ED game, achieving results similar to the real TOC's implementations. Moreover, this article provides a thorough process to Socratically introduce TOC to healthcare professionals and others to recognize that the EDs' (like other healthcare systems') core problem is the traditional approach to managing them.

Can openEHR Represent the Clinical Concepts of an Obstetric-Specific EHR - ObsCare Software?

ObsCare is an obstetric-specific Electronic Health Record in use in nine Portuguese obstetric departments. Like other EHRs, it faces major challenges related to semantic interoperability and data quality. openEHR is proposed to address those needs. This study aimed to describe a summary representation of Obscare workflow and to validate whether archetypes in the openEHR Clinical Knowledge Manager repository can represent ObsCare clinical concepts. The study included the phases: a) ObsCare form selection; b) Description of the workflow care process; c) Detailed data extraction; and d) CKM models analysis. 379 variables were analyzed: 219 were fully represented in CKM repository; 99 were partially represented and needed archetype modification; and 61 were not represented and need new archetypes. To conclude, our study showed that the openEHR CKM repository requires further enhancements to be able to fully answer to the needs of an obstetric-specific EHR, the ObsCare software.

From ObsCare Software to an OpenEHR Platform: Modelling Obstetric Archetypes.

INTRODUCTION AND AIMS: Electronic health records (EHRs) are important tools to facilitate communication between care providers and to improve clinical research. In obstetrics they became essential. The ObsCare software was created to answer to the need for an EHR with specific obstetric features. The present study aimed to develop openEHR-archetypes capable of representing an ObsCare® EHR form and to create an openEHR-template using the developed archetypes. METHODS: The study was performed in four phases: 1) selection and description of the ObsCare form; 2) Clinical Knowledge Manager (CKM) analysis; 3) modelling of the archetypes; 4) creation and testing of the template. RESULTS: One openEHR-archetype - Newborn summary - was modelled to assemble the following three clinical concepts that were not represented in CKM: hours of life, "Examination of newborn movements" and "Examination of reflexes". Finally, an openEHR-template was built and automatically converted into an EHR by VCIntegrator. CONCLUSIONS: Considering the potential to improve clinical research, we believe that more obstetric-gynecologic clinical statements should be modelled into openEHR.

OpenEHR and General Data Protection Regulation: Evaluation of Principles and Requirements.

BACKGROUND: Concerns about privacy and personal data protection resulted in reforms of the existing legislation in the European Union (EU). The General Data Protection Regulation (GDPR) aims to reform the existing directive on the topic of personal data protection of EU citizens with a strong emphasis on more control of the citizens over their data and in the establishment of rules for the processing of personal data. OpenEHR is a standard that embodies many principles of interoperable and secure software for electronic health records (EHRs) and has been advocated as the best approach for the development of hospital information systems. OBJECTIVE: This study aimed to understand to what extent the openEHR standard can help in the compliance of EHR systems to the GDPR requirements. METHODS: A list of requirements for an EHR to support GDPR compliance and also a list of the openEHR design principles were made. The requirements were categorized and compared with the principles by experts on openEHR and GDPR. RESULTS: A total of 50 GDPR requirements and 8 openEHR design principles were identified. The openEHR principles conformed to 30% (15/50) of GDPR requirements. All the openEHR principles were aligned with GDPR requirements. CONCLUSIONS: This study showed that the openEHR principles conform well to GDPR, underlining the common wisdom that truly realizing security and privacy requires it to be built in from the start. By using an openEHR-based EHR, the institutions are closer to becoming compliant with GDPR while safeguarding the medical data.

Challenges in Design and Creation of Genetic openEHR-Archetype.

Since the Human Genomic Project discovered the sequencing of human genome, the interest about genome content in clinical practice has increased. Genetic information has become a key point to understand diseases or improve treatments, for example, the nutrigenomic and nutrigenetics. However, the huge amount of data generated raises the need for Electronic Health Record (EHR) improvements as it becomes increasingly necessary that it includes more specific genetic information. Thus, we aim to propose standard genetic archetypes (in openEHR) and describe our main challenges in this context. We assessed 2 bibliographical databases (Pubmed and Web of science) to determine the main clinical statements needed to create the archetypes. The clinical statements were organized in archetype-concepts, and they were created in openEHR archetype editor. One archetype - genetic test results - was created from a set of genetic data and submitted to CKM repository for review. Based on the modeled archetypes, an openEHR template can be created from the proposed archetype, mainly in the nutrigenomic area, genetic labs and others related to genetic.

Nutrigenomic Information in the openEHR Data Set.

BACKGROUND: The traditional concept of personalized nutrition is based on adapting diets according to individual needs and preferences. Discussions about personalized nutrition have been on since the Human Genome Project, which has sequenced the human genome. Thenceforth, topics such as nutrigenomics have been assessed to help in better understanding the genetic variation influence on the dietary response and association between nutrients and gene expression. Hence, some challenges impaired the understanding about the nowadays important clinical data and about clinical data assumed to be important in the future. OBJECTIVE: Finding the main clinical statements in the personalized nutrition field (nutrigenomics) to create the future-proof health information system to the openEHR server based on archetypes, as well as a specific nutrigenomic template. METHODS: A systematic literature search was conducted in electronic databases such as PubMed. The aim of this systemic review was to list the chief clinical statements and create archetype and templates for openEHR modeling tools, namely, Ocean Archetype Editor and Ocean Template Design. RESULTS: The literature search led to 51 articles; however, just 26 articles were analyzed after all the herein adopted inclusion criteria were assessed. Of these total, 117 clinical statements were identified, as well as 27 archetype-friendly concepts. Our group modeled four new archetypes (waist-to-height ratio, genetic test results, genetic summary, and diet plan) and finally created the specific nutrigenomic template for nutrition care. CONCLUSION: The archetypes and the specific openEHR template developed in this study gave dieticians and other health professionals an important tool to their nutrigenomic clinical practices, besides a set of nutrigenomic data to clinical research.