scholarly journals Health Data for Research Through a Nationwide Privacy-Proof System in Belgium: Design and Implementation (Preprint)

2018 ◽  
Author(s):  
Nicolas Delvaux ◽  
Bert Aertgeerts ◽  
Johan CH van Bussel ◽  
Geert Goderis ◽  
Bert Vaes ◽  
...  
Keyword(s):  
Data Collection ◽  
Primary Source ◽  
Data Retrieval ◽  
Health Data ◽  
Scientific Data ◽  
Primary Data ◽  
Scientific Integrity ◽  
Quality Of Data ◽  
Electronic Health

BACKGROUND Health data collected during routine care have important potential for reuse for other purposes, especially as part of a learning health system to advance the quality of care. Many sources of bias have been identified through the lifecycle of health data that could compromise the scientific integrity of these data. New data protection legislation requires research facilities to improve safety measures and, thus, ensure privacy. OBJECTIVE This study aims to address the question on how health data can be transferred from various sources and using multiple systems to a centralized platform, called Healthdata.be, while ensuring the accuracy, validity, safety, and privacy. In addition, the study demonstrates how these processes can be used in various research designs relevant for learning health systems. METHODS The Healthdata.be platform urges uniformity of the data registration at the primary source through the use of detailed clinical models. Data retrieval and transfer are organized through end-to-end encrypted electronic health channels, and data are encoded using token keys. In addition, patient identifiers are pseudonymized so that health data from the same patient collected across various sources can still be linked without compromising the deidentification. RESULTS The Healthdata.be platform currently collects data for >150 clinical registries in Belgium. We demonstrated how the data collection for the Belgian primary care morbidity register INTEGO is organized and how the Healthdata.be platform can be used for a cluster randomized trial. CONCLUSIONS Collecting health data in various sources and linking these data to a single patient is a promising feature that can potentially address important concerns on the validity and quality of health data. Safe methods of data transfer without compromising privacy are capable of transporting these data from the primary data provider or clinician to a research facility. More research is required to demonstrate that these methods improve the quality of data collection, allowing researchers to rely on electronic health records as a valid source for scientific data.

Unlocking Data Collection: Practical Tips for School Nurses

2017 ◽  
Vol 33 (1) ◽  
pp. 27-28 ◽  
Author(s):  
Angela M. Lepkowski
Keyword(s):  
Data Collection ◽  
Evidence Based Practice ◽  
School Nurses ◽  
Health Data ◽  
Evidence Based ◽  
Quality Of Data ◽  
Specific Health

School nurses contend with a variety of challenges related to collecting and using their own data. Seemingly small steps can be taken to overcome these challenges, which will result in significant improvements in data collection and use. Improving the quality of data collection assists school nurses to identify and define practice issues and guide implementation of evidence-based practice within their schools and districts. This article provides school nurses with practical steps to collect and use school or district specific health data.

scholarly journals Measuring and Improving the Quality of Data Used for Syndromic Surveillance

2017 ◽  
Vol 9 (1) ◽  
Author(s):  
Brian E. Dixon ◽  
Jon Duke ◽  
Shaun Grannis
Keyword(s):  
Public Health ◽  
Open Source ◽  
Health Professionals ◽  
Syndromic Surveillance ◽  
Health Data ◽  
Quality Of Data ◽  
Public Health Professionals ◽  
Health Agencies ◽  
Electronic Health

ObjectiveTo extend an open source platform for measuring the qualityof electronic health data by adding functions useful for syndromicsurveillance.IntroductionNearly all of the myriad activities (or use cases) in clinical andpublic health (e.g., patient care, surveillance, community healthassessment, policy) involve generating, collecting, storing, analyzing,or sharing data about individual patients or populations. Effectiveclinical and public health practice in the twenty-first century requiresaccess to data from an increasing array of information systems,including but not limited to electronic health records. However, thequality of data in electronic health record systems can be poor or“unfit for use.” Therefore measuring and monitoring data quality isan essential activity for clinical and public health professionals aswell as researchers.MethodsUsing the Health Data Stewardship Framework1, we will extendAutomated Characterization of Health Information at Large-scaleLongitudinal Evidence Systems (ACHILLES), a software packagepublished open-source by the Observational Health Data Sciencesand Informatics collaborative (OHDSI; www.ohdsi.org) to measurethe quality of data electronically reported from disparate informationsystems. Our extensions will focus on analysis of data reportedelectronically to public health agencies for disease surveillance. Nextwe will apply the ACHILLES extensions to explore the quality ofdata captured from multiple real-world health systems, hospitals,laboratories, and clinics. We will further demonstrate the extendedsoftware to public health professionals, gathering feedback on theability of the methods and software tool to support public healthagencies’ efforts to routinely monitor the quality of data received forsurveillance of disease prevalence and burden.ResultsTo date we have mapped key surveillance data fields into theOHDSI common data model, and we have transformed 111 millionsyndromic surveillance message segments pertaining to 16.4 millionemergency department encounters representing 6 million patientsfor importation into ACHILLES. Using these data, we are exploringthe existing 167 metrics across 16 categories available withinACHILLES, including a person (e.g., number of unique persons);and observation period (e.g., Distribution of age at first observationperiod). Syndromic surveillance (SS), however, is driven largelyby monitoring patient stated chief complaints (non-standard freetext clinical data) in addition to coded diagnoses. Consequently,ACHILLES must be extended to maximally support use in analyzingSS datasets.ConclusionsThis work remains a work-in-progress. Over the coming year, wewill not only explore existing ACHILLES constructs using real-worldpublic health data but also introduce new functionality to explore1) patient demographics; 2) facility and location (e.g., emergencydepartment where care was delivered); and 3) clinical observations(e.g., chief complaint). The design and methods for examining theseaspects of surveillance data will be included on the poster, and theywill be made freely available for distribution with a future instance ofthe ACHILLES software. We ultimately envision these tools beingavailable for use on platforms such as the CDC’s Biosense – open toall local and state health agencies as a one-stop portal for surveillancedata analysis – or research environments where they can be used toexamine and improve the quality of data output from informaticssystems.

scholarly journals Advanced Visualization and Analysis of Data Quality for Syndromic Surveillance Systems

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Brian E. Dixon ◽  
Chen Wen ◽  
Tony French ◽  
Jennifer Williams ◽  
Shaun J. Grannis
Keyword(s):  
Public Health ◽  
Emergency Department ◽  
Information Systems ◽  
Data Quality ◽  
Open Source ◽  
Syndromic Surveillance ◽  
Health Data ◽  
Quality Of Data ◽  
Electronic Health

ObjectiveTo extend an open source analytics and visualization platform for measuring the quality of electronic health data transmitted to syndromic surveillance systems.IntroductionEffective clinical and public health practice in the twenty-first century requires access to data from an increasing array of information systems. However, the quality of data in these systems can be poor or “unfit for use.” Therefore measuring and monitoring data quality is an essential activity for clinical and public health professionals as well as researchers1. Current methods for examining data quality largely rely on manual queries and processes conducted by epidemiologists. Better, automated tools for examining data quality are desired by the surveillance community.MethodsUsing the existing, open-source platform Atlas developed by the Observational Health Data Sciences and Informatics collaborative (OHDSI; www.ohdsi.org), we added new functionality to measure and visualize the quality of data electronically reported from disparate information systems. Our extensions focused on analysis of data reported electronically to public health agencies for disease surveillance. Specifically, we created methods for examining the completeness and timeliness of data reported as well as the information entropy of the data within syndromic surveillance messages sent from emergency department information systems.ResultsTo date we transformed 111 million syndromic surveillance message segments pertaining to 16.4 million emergency department encounters representing 6 million patients into the OHDSI common data model. We further measured completeness, timeliness and entropy of the syndromic surveillance data. In Figure-1, the OHDSI tool Atlas summarizes the analysis of data completeness for key fields in over one million syndromic surveillance messages sent to Indiana’s health department in 2014. Completeness is reported by age category (e.g., 0-10, 20-30, 60+). Gender is generally complete, but both race and ethnicity fields are often complete for less than half of the patients in the cohort. These results suggest areas for improvement with respect to data quality that could be actionable by the syndromic surveillance coordinator at the state health department.ConclusionsOur project remains a work-in-progress. While functions that assess completeness, timeliness and entropy are complete, there may be other functions important to public health that need to be developed. We are currently soliciting feedback from syndromic surveillance stakeholders to gather ideas for what other functions would be useful to epidemiologists. Suggestions could be developed into functions over the next year. We are further working with the OHDSI collaborative to distribute the Atlas enhancements to other platforms, including the National Syndromic Surveillance Platform (NSSP). Our goal is to enable epidemiologists to quickly analyze data quality at scale.References1. Dixon BE, Rosenman M, Xia Y, Grannis SJ. A vision for the systematic monitoring and improvement of the quality of electronic health data. Studies in health technology and informatics. 2013;192:884-8.

PENGARUH KUALITAS PELAYANAN TERHADAP KEPUASAN PELANGGAN PLN RAYON KEDIRI KOTA (STUDI KASUS PEMBAYARAN REKENING LISTRIK DI PLN RAYON KEDIRI KOTA)

2019 ◽  
Vol 1 (2) ◽  
pp. 96
Author(s):  
Septiyan Budi Santoso ◽  
Heribertus Budi Santoso ◽  
Ana Komari
Keyword(s):  
Quality Of Service ◽  
Data Collection ◽  
Customer Satisfaction ◽  
Primary Data ◽  
Customer Complaints ◽  
Work Area

This study aims to determine how high the level of customer satisfaction with the service of PLN Rayon Kediri Kota, to determine the quality of service to customer satisfaction PLN Rayon Kediri Kota, to determine the response of the PLN Kediri Kota in dealing with customer complaints. This research was conducted in the work area of PLN Rayon Kediri Kota. The research time was on March 18, 2017 to March 24, 2017. In writing this thesis, the author uses primary data collection techniques, namely by distributing questionnaires to PLN Rayon Kediri Kota customers who come to the payment counter. and PLN District Kediri City services. Based on the results of the research, the quality of service conducted by PLN District Kediri Kota is sufficient to satisfy its customers, as evidenced by the results of a questionnaire that has been conducted on 100 respondents of PLN Rayon Kediri City.Penelitian ini bertujuan untuk mengetahui seberapa tinggi tingkat kepuasan pelanggan terhadap pelayanan PLN Rayon Kediri Kota, Untuk mengetahui kualitas pelayanan terhadap kepuasan pelanggan PLN Rayon Kediri Kota, Untuk mengetahui respons pihak PLN Kediri Kota dalam menghadapi keluhan pelanggannya. Penelitian ini dilakukan di wilayah kerja PLN Rayon Kediri Kota. Waktu penelitian pada tanggal 18 Maret 2017 sampai dengan 24 Maret 2017. Dalam penulisan skripsi ini, penulis menggunakan teknik pengumpulan data primer yaitu dengan membagikan kuesioner terhadap pelanggan PLN Rayon Kediri Kota yang datang ke loket pembayaran dan pelayanan PLN Rayon Kediri Kota. Berdasarkan hasil penelitian kualitas pelayanan yang dilakukan oleh PLN Rayon Kediri Kota sudah cukup memuaskan pelanggannya terbukti dengan hasil kuesioner yang telah dilakukan terhadap 100 responden PLN Rayon Kediri Kota.

PENGARUH HARGA DAN KUALITAS PRODUK TERHADAP LOYALITAS PELANGGAN ALUMUNIUM

2019 ◽  
Vol 7 (2) ◽  
Author(s):  
Widodo Widodo ◽  
Marshelly Chandra Kumala
Keyword(s):  
Data Collection ◽  
Product Quality ◽  
Customer Loyalty ◽  
Significant Influence ◽  
Secondary Data ◽  
Primary Data ◽  
Research Results ◽  
Is Research ◽  
Quality Of Products

<em>The objective of this is research was conducted to find out how the influence of the price and quality of products against customer loyalty at PT. Alakasa Extrusindo Jakarta. This research was conducted in Alakasa Extrusindo PT by doing data collection, through the primary data and secondary data.  The research results showed that the simultaneous price variables  and product quality  has a positive and significant effect against the variable customer loyalty. partially showed that price variables has a positive and significant influence towards customer loyalty. And partially showed that product quality variables  has a positive and significant influence towards customer loyalty</em>

scholarly journals Improving Specimen Labelling and Data Collection in Bio-science Research using Mobile and Web Applications

2020 ◽  
Vol 10 (1) ◽  
pp. 1-16
Author(s):  
Isaac Nyabisa Oteyo ◽  
Mary Esther Muyoka Toili
Keyword(s):  
Data Collection ◽  
Web Applications ◽  
Data Entry ◽  
Science Research ◽  
Quality Data ◽  
Quality Of Data ◽  
Data Entry Form ◽  
Research Activities ◽  
Daunting Task

AbstractResearchers in bio-sciences are increasingly harnessing technology to improve processes that were traditionally pegged on pen-and-paper and highly manual. The pen-and-paper approach is used mainly to record and capture data from experiment sites. This method is typically slow and prone to errors. Also, bio-science research activities are often undertaken in remote and distributed locations. Timeliness and quality of data collected are essential. The manual method is slow to collect quality data and relay it in a timely manner. Capturing data manually and relaying it in real time is a daunting task. The data collected has to be associated to respective specimens (objects or plants). In this paper, we seek to improve specimen labelling and data collection guided by the following questions; (1) How can data collection in bio-science research be improved? (2) How can specimen labelling be improved in bio-science research activities? We present WebLog, an application that we prototyped to aid researchers generate specimen labels and collect data from experiment sites. We use the application to convert the object (specimen) identifiers into quick response (QR) codes and use them to label the specimens. Once a specimen label is successfully scanned, the application automatically invokes the data entry form. The collected data is immediately sent to the server in electronic form for analysis.

scholarly journals Pengaruh Kompetensi, Independensi, Dan Etika Auditor Terhadap Kualitas Audit Aparat Inspektorat

2020 ◽  
Vol 2 (4) ◽  
pp. 3737-3754
Author(s):  
Witta Widiya ◽  
Efrizal Syofyan
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Data Collection ◽  
Sampling Method ◽  
Audit Quality ◽  
Primary Data ◽  
Sample Collection ◽  
The Third ◽  
Data Analysis Methods

The purpose of this study was to analyze the effect of competency, independence, and auditor ethics on audit quality in Inspectorate Office. Type of this research is a quantitative researh. The population in this study were auditors in inspectorate office West Sumatera province with 35 samples taken. The technique of sample collection is total sampling method. The sources of the data of this research is the primary data. The technique of the data collection is questionnaires. The data were analyzed using multiple regression analysis using SPSS version 25. Data analysis methods used in this study are multiple linier regression analysis, with audit quality as the dependent variabel, competency, independence and auditor ethics as the independent variabel. This result of the reseacrh support the third hypotheses, where the research shows that auditor ethics has an effect on audit quality of examiners at the inspectorate West Sumatera province. The results also show that competency and independence have no effect on audit quality of examiners at the inspecorate West Sumatera provinsi.

scholarly journals The Effect of Human Resource Competency on Financial Reporting

2020 ◽  
Vol 2 (1) ◽  
pp. 1-22
Author(s):  
Silvia Anggraeni ◽  
Rapina
Keyword(s):  
Data Collection ◽  
Human Resources ◽  
Human Resource ◽  
Financial Reporting ◽  
Primary Data ◽  
Manufacturing Companies ◽  
Financial Reports ◽  
Research Survey ◽  
Reporting Process

Laporan keuangan yang berkualitas dihasilkan melalui proses pelaporan keuangan yang efektif atau mencapai tujuan pembuatannya. Terdapat lebih dari satu faktor yang mempengaruhi efektivitas pelaporan keuangan. Di antara faktor-faktor tersebut, kompetensi sumber daya manusia merupakan salah satu faktor yang mempengaruhi efektivitas pelaporan keuangan. Kompetensi merupakan serangkaian kombinasi dari pengetahuan, kemampuan, keahlian, dan sikap yang terdapat dalam diri sumber daya manusia untuk menjalankan tugasnya dan memperoleh hasil yang unggul. Keberadaan sumber daya manusia dalam proses pelaporan keuangan adalah sangat penting karena rasio, rasa, dan karsa merupakan hal-hal yang dimiliki hanya oleh sumber daya manusia dibandingkan sumber daya yang lainnya. Sumber daya manusia yang terlibat dalam pelaporan keuangan harus memiliki kompetensi yang cukup agar dapat memenuhi atau melebihi kriteria pelaporan keuangan efektif yang telah ditetapkan. Sumber daya manusia dengan kompetensi yang rendah menyebabkan proses pelaporan keuangan memiliki kualitas rendah. Proses pelaporan keuangan dengan kualitas rendah akan menghasilkan informasi yang tidak akurat, menyesatkan, dan tidak lengkap. Tujuan yang dimaksudkan dalam penelitian ini yaitu mengetahui seberapa banyak pengaruh yang sumber daya manusia berikan terhadap pelaporan keuangan. Karyawan yang bekerja pada bagian akuntansi dan bagian lain yang berhubungan dengan fungsi akuntansi pada perusahaan manufaktur di Kota Bandung adalah populasi dalam penelitian ini dan 53 orang merupakan jumlah sampel yang digunakan. Dalam penelitian ini, digunakan survei berupa kuesioner fisik sebagai teknik dan alat pengumpulan data sehingga data yang didapatkan merupakan data primer. Data yang telah didapatkan kemudian diuji menggunakan aplikasi SPSS. Hasil dari penelitian ini menunjukkan bahwa kompetensi sumber daya manusia memiliki pengaruh terhadap pelaporan keuangan. Kata kunci: kompetensi SDM, pelaporan keuangan Quality financial reports are produced through an effective financial reporting process or achieve the objectives of its creation. There are more than one factors that affect financial reporting’s effectiveness. Among those factors, human resource competency is one factor that affect financial reporting’s effectiveness. Competency is a series of combinations of knowledge, skill, expertise, and attitude contained in human resource to carry out their duties and obtain superior results. Existence of human resource in financial reporting process are crucial because idea, feeling, and intention are things that only owned by human resource compared with other resources. Human resources embroiled in financial reporting must have sufficient competency to meet or exceed the established effective financial reporting criteria. Human resource with lack of competency causes low quality of financial reporting process. Low quality financial reporting process cause inaccurate, misleading, and incomplete information. This research aim to examine how much influence that human resource’s competency gave towards financial reporting. Employees who work in the accounting department and other department related to accounting function in manufacturing companies in Bandung are population in this research and 53 people are the number of sample used. In this research, survey in the form of physical questionnaire was used as technique and tool of data collection so the data obtained is primary data. Data that has been obtained then tested by SPSS application. The result of this research indicate that human resource’s competency has an effect towards financial reporting. Keywords: human resource’s competency, financial reporting

scholarly journals KELAYAKAN REPLANTING KARET PADA KONDISI MUTU BOKAR DAN HARGA JUAL YANG RENDAH DI KABUPATEN MUARA ENIM SUMATERA SELATAN

2020 ◽  
Vol 4 (1) ◽  
pp. 147-161
Author(s):  
Riswani Riswani ◽  
Yunita Yunita ◽  
Henny Malini ◽  
Thirtawati Thirtawati
Keyword(s):  
Sensitivity Analysis ◽  
Data Collection ◽  
Survey Research ◽  
Feasibility Analysis ◽  
Primary Data ◽  
Rubber Plantation ◽  
Eligibility Criteria ◽  
Technical Management ◽  
Current Price

The current rubber price fluctuation with downward trend, makes rubber farmers in South Sumatra experience a dilemma to carry out replanting. The majority of rubber plants that are more than 25 years old must be replanted because productivity decreases, if not done, farmers can lose their livelihoods because rubber farming is the main livelihood. This condition is the background of this study which aims to describe the rubber farming that is now being carried out by farmers in conditions approaching replanting and relatively low prices that have an impact on the quality of the Bokar, as well as analyzing the feasibility of rubber commodities from technical, management, marketing and financial aspects. The survey research was conducted in Muara Enim Regency as one of the rubber center areas in South Sumatra, primary data collection was conducted by interviewing 50 respondents who were randomly selected. Data processing is done by qualitative analysis methods, and followed by a feasibility analysis using the eligibility criteria of B / C ratio, R / C ratio, NPV, IRR, Payback ratio and BEP calculation, followed by sensitivity analysis. The analysis shows that the rubber plantation and Bokar processing undertaken by farmers has not followed the recommended rubber farming and Bokar processing, and although the current price conditions are still relatively low, it is still feasible to be undertaken as evidenced by all the values of the business feasibility criteria being in the feasible criteria, so replanting is still recommended for rubber plants that are no longer productive

Advances in Monitoring Have Not Translated into Improvements in Humanitarian Health Services

2007 ◽  
Vol 22 (5) ◽  
pp. 384-389 ◽  
Author(s):  
Les Roberts
Keyword(s):  
Data Collection ◽  
Local Level ◽  
Health Data ◽  
Health Priorities ◽  
Political Issues ◽  
Life Saving ◽  
The Us ◽  
Control And Prevention ◽  
Political Actions

AbstractBackground:This paper is an attempt to review the advances and shortfalls in data collection and use of health data that have occurred during health emergencies in recent decades for the opening session of the Humanitarian and Health Conference at Dartmouth University in September of 2006.Methods:Examples of various kinds of successes and failures associated with health data collection are given to highlight advances with an effort to emphasize multi-agency efforts reviewed by outside scholars.Results:Health data, particularly surveillance data, have allowed relief workers to set priorities for life-saving humanitarian programs. The main guidelines widely utilized such as those of the US Centers for Disease Control and Prevention, Médecins sans Frontières, and the Sphere Project have considerable similarity due to the consistency of data collected in various crises. Moreover, difficult to see problems and successes have been revealed by coherent surveillance efforts. Yet, these data collection efforts can not show significant improvements in the quality of humanitarian aid in recent years. Moreover, health data often do not appear to have meaningful influence on the prioritizing of relief resources globally or on those political issues that trigger emergencies.Conclusions:The field of humanitarian relief is relatively nascent. Methods for documenting basic health measures on the local level have been developed and general health priorities have been documented. Some technical improvements in monitoring still are needed but decision-making is most often limited by the lack of data rather than the problems with data. The ability of health data to influence spending global priorities, legal or political actions undertaken by international organizations, remains very limited.

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