Many organizations have undergone substantial reorganization in the last decade. They re-engineered their business processes and exchanged proprietary, not integrated applications for more standard solutions. Integration of structured data in relational data bases has improved documentation of business transactions and increased data quality. But almost 90% of the information that organizations manage is unstructured, can not easily be integrated into a traditional database. Just like structured data, unstructured information in organizations are records, meant and used as evidence for organizational actions and transactions. Governments, courts and other stakeholders are making increasing demands for the trustworthiness of records. This is part of a long-term trend toward defining what accountability means in a digital era. An analysis of literature of information science, organization science and archival science illustrates that for accountability, reconstruction of the past is essential. Hypothesis of this paper is that for the reconstruction of the past each organization needs (at least) a combination of three mechanisms: enterprise records management, organizational memory and records auditing. Enterprise records management ensures that records meet the for accountability necessary quality requirements: integrity, authenticity, controllability and historicity. These requirements ensure records that can be trusted. Trusted records enhance the possibility of reconstructing the past. The organizational memory ensures that trusted records are preserved for as long as is necessary to comply to accountability regulations. It provides an information and communication technology infrastructure to (indefinitely) store those records and to keep them accessible. Records auditing audits enterprise records management and organizational memory to assess the possibility to reconstruct past organizational actions and transactions. These mechanisms ensure that organizations have a documented understanding of: the processing of actions and transactions within business processes; the dissemination of trusted records; the way the organization accounts for the actions and transactions within its business processes; and the reconstruction of actions and transactions from business processes over time. This understanding is important for the reconstruction of the past in digitized organizations and improve organizational accountability.
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Many organizations have undergone substantial reorganization in the last decade. They re-engineered their business processes and exchanged proprietary, not integrated applications for more standard solutions. Integration of structured data in relational databases has improved documentation of business transactions and increased data quality. But almost 90% of the information that organizations manage is unstructured, cannot easily be integrated into a traditional database. When used for organizational actions and transactions, structured and unstructured information are records. They are meant and used as evidence. Governments, courts and other stakeholders are making increasing demands for the trustworthiness of records. An analysis of literature of the information, organization and archival sciences illustrates that accountability needs the reconstruction of the past. Hypothesis of this paper is that for the reconstruction of the past each organization needs a combination of threemechanisms: enterprise records management, organizational memory and records auditing. Enterprise records management ensures that records meet the quality requirements needed for accountability: integrity, authenticity, controllability and historicity. They ensure records that can be trusted and enhance the possibilities for the reconstruction of the past. The organizational memory ensures that trusted records are preserved for as long as is necessary to comply with accountability regulations. It provides an ICT infrastructure to (indefinitely) store those records and to keep them accessible. Records auditing researches the first two mentioned mechanisms to assess the possibility to reconstruct past organizational actions and transactions. These mechanisms ensure that organizations have a documented understanding of [1] the processing of actions and transactions within business processes; [2] the dissemination of trusted records; [3] the way the organization accounts for the actions and transactions within its business processes; and [4] the reconstruction of actions and transactions from business processes over time. This understanding is crucial for the reconstruction of the past and for organizational accountability.
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In the last decade, organizations have re-engineered their business processes and started using standard software solutions. Integration of structured data in relational databases has improved documentation of business transactions and increased data quality. But almost 90% of the information cannot be integrated in relational data bases. This amount of ‘unstructured’ information is exploding within the Enterprise 2.0. The use of social media tools to enhance collaboration, creates corporate blogs, wikis, forums, and other types of unstructured information. Structured and unstructured information are records, meant and used as evidence for policies, decisions, products, actions and transactions. Most stakeholders are making increasing demands for the trustworthiness of records for accountability reasons. In this age of evolving social media use, organizational chains, inter-organizational data warehouses and cloud computing, it is crucial for the Enterprise 2.0. that its policies, decisions, products, actions and transactions can be reliably reconstructed in context. Digital Archiving is a necessity for the Enterprise 2.0.: the reconstruction of the past depends on records and their meta data. Blogs, wikis, forums, etc., used for collaboration within the business processes of the organization, need to be documented for reconstruction in the future. Digital Archiving is a combination of three mechanisms: enterprise records management, organizational memory and records auditing. These mechanisms ensure that a digitized organization as the Enterprise 2.0. has a documented understanding of its past. In that way, it improves organizational accountability.
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OBJECTIVES Previous studies regarding nursing documentation focused primarily on documentation quality, for instance, in terms of the accuracy of the documentation. The combination between accuracy measurements and the quality and frequencies of outcome variables such as the length of the hospital stay were only minimally addressed. METHOD An audit of 300 randomly selected digital nursing records of patients (age of >70 years) admitted between 2013-2014 for hip surgery in two orthopaedic wards of a general Dutch hospital was conducted. RESULTS Nursing diagnoses: Impaired tissue perfusion (wound), Pressure ulcer, and Deficient fluid volume had significant influence on the length of the hospital stay. CONCLUSION Nursing process documentation can be used for outcome calculations. Nevertheless, in the first generation of electronic health records, nursing diagnoses were not documented in a standardized manner (First generation 2010-2015; the first generation of electronic records implemented in clinical practice in the Netherlands).
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The current standard in accounting practice is the double-entry approach. Basis of the double-entry approach is that every financial event brings two equal and offsetting entries. Since these financial events are not automatically confirmed by both parties, the accounting quality can be improved. The blockchain mechanism possibly offers a different take on accounting. Based on an experimentation approach, data was collected to compare the double-entry method with the blockchain-based triple-entry method. The results show that the main difference concerns determining the completeness of the financial statement items. In the situation of double-entry accounting, segregation of duties is applied to do so. In the blockchain situation, the underlying mechanism of the blockchain already ensures this.
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From the article: Business rules management is a mean by which an organization realizes controllability of business activities to fulfill goals. Currently the focus of controllability is mainly on effectiveness, efficiency and output quality. Little attention is paid to risk, stakeholder concerns and high level goals. The purpose of this work is to present a viewpoint relating business rules management with concepts of risks, stakeholder, concerns and goals. The viewpoint is presented by means of a meta-model existing out of six concepts: stakeholder, concern, goal, business rule, requirements and implementation mechanism. In a case study the proposed view is validated in terms of completeness, usability and accuracy. Results illustrate the completeness, usability and a high degree of accuracy of our defined view. Future research is suggested on the development of a modeling language to improve the communicational value and ease of use of the meta-model.
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PURPOSE: The purpose of the study is (a) to describe care needs derived from records of patients in Dutch hospitals, and (b) to evaluate whether nurses employed the NANDA-I classification to formulate patients' care needs.METHODS: A stratified cross-sectional random-sampling nursing documentation audit was conducted employing the D-Catch instrument in 10 hospitals comprising 37 wards.FINDINGS: The most prevalent nursing diagnoses were acute pain, nausea, fatigue, and risk for impaired skin integrity.CONCLUSIONS: Most care needs were determined in physiological health patterns and few in psychosocial patterns.IMPLICATIONS FOR NURSING PRACTICE: To perform effective interventions leading to high-quality nursing-sensitive outcomes, nurses should also diagnose patients' care needs in the health management, value-belief, and coping stress patterns.
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Business decisions and business logic are important organizational assets. As transparency is becoming an increasingly important aspect for organizations, business decisions and underlying business logic, i.e., their business rules, must be implemented, in information systems, in such a way that transparency is guaranteed as much as possible. Based on previous research, in this study, we aim to identify how current design principles for business rules management add value in terms of transparency. To do so, a recently published transparency framework is decomposed into criteria, which are evaluated against the current business rules management principles. This evaluation revealed that eight out of twenty-two design principles do not add value to transparency, which should be taken into account when the goal of an organization is to increase transparency. Future research should focus on how to implement the design principles that add to transparency.
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Abstract Background: Nurses are consistently present throughout the rehabilitation of older patients but are apprehensive about performing goal-centred care in the multidisciplinary team. Objectives: The aim of this review was to explore working interventions on setting goals and working with goals designed for nurses in geriatric rehabilitation, and to describe their distinctive features. Methods: We performed a scoping review. We searched MEDLINE and CINAHL through August 4, 2021. Search terms related to the following themes: nurses, rehabilitation, geriatric, goal and method. We used snowballing to find additional. From the selected studies, we systematically extracted data on means, materials and the nursing role and summarized them in a narrative synthesis, using intervention component analysis. Results: The study includes 13 articles, describing 11 interventions which were developed for six different aims: improving multidisciplinary team care; increasing patient centredness; improving disease management by patients; improving the psychological, and emotional rehabilitation; increasing the nursing involvement in rehabilitation; or helping patients to achieve goals. The interventions appeal to four aspects of the nursing profession: assessing self-care skills incorporating patient's preferences; setting goals with patients, taking into account personal needs and what is medically advisable; linking the needs of the patient with multidisciplinary professional treatment and vice versa; and thus, playing an intermediate role and supporting goal achievement. Conclusions: The interventions show that in goal-centred care, the nurse might play an important unifying role between patients and the multidisciplinary team. With the support of nurses, the patient may become more aware of the rehabilitation process and transfer of ownership of treatment goals from the multidisciplinary team to the patient might be achieved. Not many interventions were found meant to support thenursing role. This may indicate a blind spot in the rehabilitation community to the additional value of its contribution.
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Teneinde het opnemen van onderzoeksvaardigheden in het curriculum van de Faculteit Educatieve Opleidingen van de Hogeschool Utrecht te vergemakkelijken en ter ondersteunen, vonden wij het zinvol om een stuk te schrijven over de vermeende tegenstelling tussen kwalitatief en kwantitatief onderzoek. Een belangrijk uitgangspunt is dat we niet uitgaan van een in de wandelgangen vaak gehoorde tegenstelling tussen universitair en hogeschool onderzoek, waarbij de universiteit kwalificaties als fundamenteel en theoretisch opeist en de praktische kruimels voor het hoger beroepsonderwijs wil laten liggen. Wij gaan daar niet van uit omdat wij geen fundamenteel verschil zien tussen fundamenteel onderzoek en toegepast onderzoek. De grondslagen, de redeneringen, de systematiek zijn in beide gevallen hetzelfde. Op de achtergrond speelt, in ieder geval bij de humaniora van de hoge scholen, nog een andere tweedeling een rol: kwantitatief versus kwalitatief onderzoek. Belangrijke kenmerken van kwantitatief onderzoek zoals ingewikkelde onderzoeksdesigns, grote steekproeven en gecompliceerde statistische analyses zouden het natuurlijk domein van universiteiten zijn. Ook dit werpen we verre van ons. Volgens onze opvatting gaat het in de eerste plaats om 'goed onderzoek' en goed onderzoek vereist niet persé een kwalitatieve benadering of een kwantitatieve benadering. Goed onderzoek geeft in de eerste plaats een antwoord op een vraag die gesteld wordt: de probleemstelling. Zoals het overgrote deel van onderzoekers tegenwoordig rekenen wij ons niet tot kwantitatieve onderzoekers of tot kwalitatieve onderzoekers. Met behulp van onderzoek willen wij een slechts een antwoord geven op de gestelde vraag, de probleemstelling.
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