scholarly journals Recovering records on cancer of the larynx from anonymous health information databases

2021 ◽  
Vol 24 ◽  
Author(s):  
Fernando Timoteo Fernandes ◽  
Diego Rodrigues Mendonça e Silva ◽  
Felipe Campos ◽  
Vilma Sousa Santana ◽  
Lucas Cuani ◽  
...  
Keyword(s):  
Information System ◽  
Health Information ◽  
Hospital Information System ◽  
Causes Of Death ◽  
National Health System ◽  
Hospital Records ◽  
Cancer Statistics ◽  
Linkage Algorithm ◽  
Sociodemographic Data ◽  
Icd 10

ABSTRACT: Objective: To develop a linkage algorithm to match anonymous death records of cancer of the larynx (ICD-10 C32X), retrieved from the Mortality Information System (SIM) and the Hospital Information System of the Brazilian Unified National Health System (SIH-SUS) in Brazil. Methodology: Death records containing ICD-10 C32X codes were retrieved from SIM and SIH-SUS, limited to individuals aged 30 years and over, between 2002 and 2012, in the state of São Paulo. The databases were linked using a unique key identifier developed with sociodemographic data shared by both systems. Linkage performance was ascertained by applying the same procedure to similar non-anonymous databases. True pairs were those having the same identification variables. Results: A total of 14,311 eligible death records were found. Most records, 10,674 (74.6%), were exclusive to SIM. Only 1,853 (12.9%) deaths were registered in both systems, representing true pairs. A total of 1,784 (12.5%) cases of laryngeal cancer in the SIH-SUS database were tracked in SIM with different causes of death. The linkage failed to match 167 (9.4%) records due to inconsistencies in the key identifier. Conclusion: The authors found that linking anonymous data from mortality and hospital records is a feasible measure to track missing records and may improve cancer statistics.

Automatisierte Berechnung und Visualisierung von Komorbiditätsindizes für den Tumorboard-Entscheid

2020 ◽  
Vol 41 (08) ◽  
pp. 536-541
Author(s):  
Theresa Wald ◽  
Klemens Birnbaum ◽  
Susanne Wiegand ◽  
Andreas Dietz ◽  
Veit Zebralla ◽  
...  
Keyword(s):  
Information System ◽  
Record Linkage ◽  
Hospital Information System ◽  
Icd 10 ◽  
Kurative Therapie

Zusammenfassung Einleitung Komorbidität beeinflusst die für die kurative Therapie von Kopf-Hals-Karzinomen (HNC) verfügbaren Optionen. Das manuelle Zusammentragen der Nebenerkrankungen vor der Anmeldung im interdisziplinären Tumorboard (TB) ist zeitintensiv und oft unvollständig. Eine automatisierte Erfassung von nach ICD-10 kodierten Komorbiditätsdaten und deren Darstellung könnte die therapeutische Entscheidungsfindung im TB verbessern sowie bestehenden Informationsbedarf aufzeigen. Material und Methoden Die ICD-10-Codes unserer Patienten wurden aus 4 Datenbanken (hospital-information-system (HIS*-MED), der klinikinternen Tumordatenbank, OncoFlow® und OncoFunction®) extrahiert. Nach der Datensatzverknüpfung mittels der Python-Programmbibliotheken Pandas und Record Linkage wurden die ICD-10-Codes bezüglich des Charlson-Scores gewichtet und für die Implementierung in OncoFlow visualisiert. Die Kodierqualität wurde am Beispiel Diabetes an einer 1:1 gematchten Stichprobe von 240 Patienten überprüft. Ergebnisse 29 073 ICD-10-Codes von 2087 Patienten mit HNC wurden extrahiert. Die Anmeldung eines Patienten im TB triggert die sofortige automatische Erfassung und Visualisierung der Daten als Piktogramm in OncoFlow. Dies ermöglicht die schnelle Erfassung und Bewertung der Komorbidität sowie erforderlicher Diagnostik zur Komplettierung der Daten. Die klinikinterne Validationsstudie ergab eine Präzision der durch Datenimport verfügbaren Information zu Diabetes von 95,0 %. Diskussion Patienten mit HNC weisen häufig für die Therapieentscheidung relevante Nebenerkrankungen auf. Die automatisierte Erfassung der Komorbidität aus administrativen Daten und deren intuitive Darstellung ist ressourcen- und kostengünstig möglich. Voraussetzung ist eine präzise, vollständige Verschlüsselung der Krankheitsdiagnosen.

scholarly journals Edukasi Sistem Informasi Kesehatan Elektronik Untuk Kader Kesehatan Desa Tijayan Manisrenggo Jawa Tengah

2019 ◽  
Vol 4 (1) ◽  
pp. 9
Author(s):  
MT Ghozali ◽  
Ingenida Hadning ◽  
Aji Winanta
Keyword(s):  
Information System ◽  
Health System ◽  
Health Information ◽  
National Health ◽  
Health Information System ◽  
National Health System ◽  
Health Data ◽  
Health Profile ◽  
Electronic Health ◽  
The Village

ABSTRAKSistem Informasi Kesehatan (SIMKes) merupakan bagian penting dari sistem kesehatan suatu negara. SIMKes adalah bentuk utama Sistem Kesehatan Nasional (SKN) yang digunakan sebagai komponen dalam pembangunan berwawasan kesehatan. Sistem informasi yang tersusun dan terkonsep akan menghasilkan luaran yang baik dan membuat masyarakat tidak buta dengan dunia kesehatan. Teknologi informasi berkembang secara cepat dan berdampak pada semua aspek kehidupan, termasuk informasi kesehatan. Perkembangan teknologi saat ini berperan penting menjadi sebuah media bagi masyarakat milenial atau tenaga kesehatan untuk mendapatkan informasi mengenai gambaran kesehatan dan persebaran penyakit atau epidemiologi di wilayahnya masing-masing. Program Hibah Kemitraan ini bertujuan untuk melatih para kader kesehatan di setiap Padukuhan di Desa Tijayan Manisrenggo Jawa Tengah bagaimana cara membuat profil kesehatan dan peta persebaran penyakit di desa tersebut dan menyajikannya secara interaktif, edukatif, dan berbasis elektronik. Sasaran utama dalam program ini adalah kader kesehatan masing-masing padukuhan yang terdapat di Desa Tijayan, meliputi Bawangan, Candran, Pogaten, dan Sorobayan. Beberapa program kegiatan untuk mencapai tujuan tersebut meliputi pengumpulan data kesehatan yang didapat melalui survey atau sensus dan data yang sudah tersedia di pusat data kesehatan desa, penyuluhan tata cara pembuatan profil kesehatan dan peta persebaran penyakit, dan pelatihan penyajian data informasi kesehatan masyarakat secara interaktif dan edukatif. Program Hibah Kemitraan ini dapat membantu melengkapi profil kesehatan masyarakat dan meningkatkan kualitas SIMKes di desa mitra.Kata kunci: profil kesehatan; sistem informasi kesehatan; sisten kesehatan nasionalABSTRACTHealth Information System (HIS) is an important component of a country's health system. HIS is the main part of the National Health System, which is used as a pillar in health-oriented development. The structured and conceptual information system produces good outcomes and prevents people from the blindness of health matters. Information technology develops rapidly and impacts most of all aspects of life, including health information. Current technological developments play an important role as a media for millennial people or health professionals to get information about health information and epidemiology in their own region. This program aimed to train health cadres in each region of the Tijayan Manisrenggo Village, Klaten, Central Java, in addition to creating an electronic health profile and epidemiology map of the village and then presenting the profile interactively and educatively. The main targets of this program were health cadres in each region of the Tijayan Village, including Bawangan, Candran, Pogaten, and Sorobayan. Some main activities to achieve the objectives included collecting health data obtained through surveys or censuses and data already available in the health data center of the village, counseling procedures for creating an electronic health profile and epidemiology map, as well as training in the interactive and educative presentation of public health information data. This program helped complete the health profile and increase the quality of health information system in the partner villages.Keywords: health information system; health profile; national health system

scholarly journals Usability Evaluation of Hospital Information System According to Heuristic Evaluation

2021 ◽  
Vol 10 (1) ◽  
pp. 69
Author(s):  
Ahmad Azizi ◽  
Mahmood Maniati ◽  
Hadis Ghanbari-Adivi ◽  
Zeinab Aghajari ◽  
Sedigheh Hashemi ◽  
...  
Keyword(s):  
Information System ◽  
Information Systems ◽  
Health Information ◽  
User Satisfaction ◽  
Hospital Information System ◽  
Evaluation Method ◽  
Health Information Systems ◽  
Heuristic Evaluation ◽  
Usability Problems ◽  
Scientific Principles

Introduction: There are various applications and health information systems which have been developed to promote the effective retrieval of patient information, statistics, research, and education. Therefore, there is a need to design them in consistency with scientific principles of usability. To this end, the usability of hospital information sub-systems employed at the hospitals of Ahvaz were compared using heuristic evaluation method. The objective of the study was to assess the usability of hospital information system according to heuristic evaluation.Material and Methods: Six trained evaluators, independently determined the ADT subsystem, HIM subsystem, and NIS according to Nielsen’s 10 Heuristic Principles. Since more than half of the hospitals (about 54%) employed Sib application, no specific sampling method was used. After combining the usability problems, the average severity ratings of the problems were calculated, and then the subsystems were compared.Results: The number of the usability problems of the ADT information subsystem, HIM subsystem, and NIS were 40, 39, and 37, respectively. After merging the problems, the features of “user control and freedom” with 20 cases and “flexibility and efficiency of use” with six cases had the highest and the lowest inconsistencies with usability principles. The average severity ratings of the problems also varied between 1.7 and 3.Conclusion: Heuristic evaluation method is regarded as one of the approaches appropriate to identify usability problems in health information systems. Thus, it is advisable to utilize this method to modify the design of the systems and to improve their efficiency before their implementation in order to increase user satisfaction.

Automatisierte Berechnung und Visualisierung von Komorbiditätsindizes für den Tumorboard-Entscheid

2019 ◽  
Vol 99 (01) ◽  
pp. 31-36
Author(s):  
Theresa Wald ◽  
Klemens Birnbaum ◽  
Susanne Wiegand ◽  
Andreas Dietz ◽  
Veit Zebralla ◽  
...  
Keyword(s):  
Information System ◽  
Record Linkage ◽  
Hospital Information System ◽  
Icd 10 ◽  
Kurative Therapie

Zusammenfassung Einleitung Komorbidität beeinflusst die für die kurative Therapie von Kopf-Hals-Karzinomen (HNC) verfügbaren Optionen. Das manuelle Zusammentragen der Nebenerkrankungen vor der Anmeldung im interdisziplinären Tumorboard (TB) ist zeitintensiv und oft unvollständig. Eine automatisierte Erfassung von nach ICD-10 kodierten Komorbiditätsdaten und deren Darstellung könnte die therapeutische Entscheidungsfindung im TB verbessern sowie bestehenden Informationsbedarf aufzeigen. Material und Methoden Die ICD-10-Codes unserer Patienten wurden aus 4 Datenbanken (hospital-information-system (HIS*-MED), der klinikinternen Tumordatenbank, OncoFlow® und OncoFunction®) extrahiert. Nach der Datensatzverknüpfung mittels der Python-Programmbibliotheken Pandas und Record Linkage wurden die ICD-10-Codes bezüglich des Charlson-Scores gewichtet und für die Implementierung in OncoFlow visualisiert. Die Kodierqualität wurde am Beispiel Diabetes an einer 1:1 gematchten Stichprobe von 240 Patienten überprüft. Ergebnisse 29 073 ICD-10-Codes von 2087 Patienten mit HNC wurden extrahiert. Die Anmeldung eines Patienten im TB triggert die sofortige automatische Erfassung und Visualisierung der Daten als Piktogramm in OncoFlow. Dies ermöglicht die schnelle Erfassung und Bewertung der Komorbidität sowie erforderlicher Diagnostik zur Komplettierung der Daten. Die klinikinterne Validationsstudie ergab eine Präzision der durch Datenimport verfügbaren Information zu Diabetes von 95,0 %. Diskussion Patienten mit HNC weisen häufig für die Therapieentscheidung relevante Nebenerkrankungen auf. Die automatisierte Erfassung der Komorbidität aus administrativen Daten und deren intuitive Darstellung ist ressourcen- und kostengünstig möglich. Voraussetzung ist eine präzise, vollständige Verschlüsselung der Krankheitsdiagnosen.

scholarly journals Hospitalization rates for pneumococcal disease in Brazil, 2004 - 2006

2011 ◽  
Vol 45 (3) ◽  
pp. 539-547 ◽  
Author(s):  
Hillegonda Maria Dutilh Novaes ◽  
Ana Marli Christovam Sartori ◽  
Patricia Coelho de Soárez
Keyword(s):  
Information System ◽  
Health System ◽  
National Health ◽  
Hospital Information System ◽  
Pneumococcal Disease ◽  
Pneumococcal Pneumonia ◽  
Pneumococcal Meningitis ◽  
National Health System ◽  
Hospitalization Rates ◽  
The Impact

OBJECTIVE: To estimate hospitalization rates for pneumococcal disease based on the Brazilian Hospital Information System (SIH). METHODS: Descriptive study based on the Hospital Information System of Brazilian National Health System data from January 2004 to December 2006: number of hospitalizations and deaths for pneumococcal meningitis, pneumococcal sepsis, pneumococcal pneumonia and Streptococcus pneumoniae as the cause of diseases reported in Brazil. Data from the 2003 Brazilian National Household Survey were used to estimate events in the private sector. Pneumococcal meningitis cases and deaths reported to the Notifiable Diseases Information System during the study period were also analyzed. RESULTS: Pneumococcal disease accounted for 34,217 hospitalizations in the Brazilian National Health System (0.1% of all hospitalizations in the public sector). Pneumococcal pneumonia accounted for 64.8% of these hospitalizations. The age distribution of the estimated hospitalization rates for pneumococcal disease showed a "U"-shape curve with the highest rates seen in children under one (110 to 136.9 per 100,000 children annually). The highest hospital case-fatality rates were seen among the elderly, and for sepsis and meningitis. CONCLUSIONS: PD is a major public health problem in Brazil. The analysis based on the SIH can provide an important input to pneumococcal disease surveillance and the impact assessment of immunization programs.

Informatics and technology for anaesthesia

2017 ◽  
Author(s):  
Anthony P. Madden
Keyword(s):  
Health Information ◽  
Health Informatics ◽  
Causes Of Death ◽  
Late Nineteenth Century ◽  
Snomed Ct ◽  
Main Driver ◽  
Classification Of Diseases ◽  
Icd 10 ◽  
Information Management Systems

Health informatics is concerned with the structure, acquisition, and use of health information. Its origins can be traced back to the publication of Bills of Mortality by the parishes of London in the sixteenth century. Interest in health information accelerated during the late nineteenth century with the development of an internationally recognized classification of the causes of death. Further work on the classification of diseases and causes of death has resulted in the ICD-10, while SNOMED CT provides an international thesaurus of medical terms suitable for use in computerized medical record systems. In 1932, Tovell and Dunn described the systematic collection of data about anaesthetics with the aim of identifying areas for improvement. The improvement of healthcare is the main driver for the implementation of electronic patient record systems in hospitals. A natural corollary is the implementation of computerized anaesthetic information management systems. Computerized record systems can automatically store the output of physiological monitors and reduce errors with active and passive decision support. Although the recording and processing of health information in the twenty-first century almost always involves the use of computers, this can give rise to problems with security and inter-operability. Computer technology also has other uses in modern anaesthetic practice. The modelling of physiological processes and the use of simulators in the training of anaesthetists are good examples.

scholarly journals Health Care Workers’ Use Of Electronic Hospital Information System And Their Computer Literacy At The Outpatient Department In District General Hospital Trincomalee In Sri Lanka

2016 ◽  
Vol 2 (1) ◽  
pp. 20-29
Author(s):  
Ayanthi Saranga Jayawardena ◽  
S.C. Wickramasinghe ◽  
S.R.U. Wimalaratne
Keyword(s):  
Health Care ◽  
Information System ◽  
Health Care Workers ◽  
Hospital Information System ◽  
Computer Literacy ◽  
District General Hospital ◽  
Staff Members ◽  
Care Workers ◽  
Icd 10 ◽  
Electronic Hospital

AbstractObjectives:To describe the use of Electronic Hospital Information System(EHIS) by the staff, to assess the competency of them to handle the EHIS and to assess the computer literacy among health care workers at the Out Patient’s Department(OPD) in District General Hospital(DGH) Trincomalee.Study design:A cross sectional descriptive study. A competency assessment test and a self administered questionnaire were used. Participants: All the staff members operating the EHIS at the OPD in DGH Trincomalee. Results: Regarding the general use of the EHIS medical officers (100%) used the EHIS to write prescriptions,(>70%)to get the patient’s socio-demographic details, enter patient’s history to retrieve previous medical records, to obtain what drugs available and what drugs out of stock at the outdoor pharmacy, for notification of diseases and used less frequently to get the laboratory reports (50-70%). The system was used for 17 tasks out of 20 tasks and most unused tasks were write the diagnosis according to the ICD-10. Nurses and attendents used the system less than half of the tasks for which the system was functional. The pharmacists use of the system was optimal. Overall respondents’ competency of using the system were high (>80%). Conclusions: Majority of staff members had low level of computer literacy. Majority of them used the system successfully. Recommendations: To strengthen the training program,combat several constraints and upgrade the system, provide digital X-ray imaging and download them to CDs and improved to write the diagnosis according to the ICD-10.Key words: Electronic Hospital Information System, Multi Disease Surveillance, Computer Literacy. 

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