Resultados de la búsqueda - Portal de Modelos de Datos Médicos (MDM-Portal)

Common Data Elements for Retinal Neovascular Diseases - Risk Factors or Past Medical History

- 20/9/21 - 4 formularios, 1 itemgroup, 35 items, 2 idiomas

Itemgroup: Risk Factors; Past Medical History

Common Data Elements for retinal neovascular diseases. The CDEs may be used in clinical routine, clinical trial, patient outcome, quality assurance and registry documentation of Age related macular degeneration (AMD), Diabetic Retinopathy (DR) and Retinal vein occlusion (RVO). The CDEs were developed by the Institute of Medical Informatics of the University Muenster in cooperation with the Department of Ophthalmology of the University Hospital Muenster.

Sentinel Common Data Model Procedure

- 25/8/19 - 1 formulario, 1 itemgroup, 8 items, 1 idioma

Itemgroup: Procedure

Sentinel: Overview and Description of the Common Data Model v7.0.0 "The primary goal of Sentinel is to build and operate a national public health surveillance system to monitor the safety of FDA-regulated medical products, including drugs, biologics, and devices. Sentinel is part of the Sentinel Initiative, the FDA’s response to a congressional mandate to create an active surveillance system using electronic health data.The Sentinel program will undertake three major types of activities: (1) prospective evaluation of accumulating experience about specific medical products and specific suspected safety problems; (2) evaluation of the impact of FDA actions (e.g., labeling changes) on medical practice and health outcomes; and (3) rapid assessment of past experience in response to FDA questions about specific exposures and outcomes." For more information about Sentinel visit the website at: www.sentinelsystem.org For comments and suggestions, please email: info@sentinelsystem.org The SCDM Procedure Table contains one record per unique combination of PatID, EncounterID, PX, and PX_CodeType. This table should capture all uniquely recorded procedures for all encounters.

Mental health seclusion and restraint DSS 2015- Metadata Online Registry (METeOR)

- 22/8/16 - 1 formulario, 6 itemgroups, 15 items, 1 idioma

Itemgroups: Mental health restraint events cluster, Address, Establishment, Hospital, Specialised mental health service organisation, Specialised mental health service

Health sector data set specifications from METeOR, Australia's repository for national metadata standards, developed by the Australian Institute of Health and Welfare (http://meteor.aihw.gov.au/content/index.phtml/itemId/345165) Mental health seclusion and restraint DSS 2015- The scope of the Mental health seclusion and restraint data set specification (SECREST DSS) is all specialised mental health public hospital acute service units. Short stay mental health units are in scope, e.g. Psychiatric Emergency Care Centres. Wards or units other than specialised mental health services, such as emergency departments, are out of scope. Specialised mental health acute forensic hospital services are in scope, regardless of which department manages the service, for example health versus correctional services department. Physical and mechanical restraint are in scope for this collection. While chemical/pharmacological restraint is defined in some jurisdictional Mental Health Acts, issues around definitions and collection preclude nationally comparable data supply activities for this category of restraint. Therefore, chemical/pharmacological restraint is out of scope for the purposes of data collection for the SECREST DSS. Metadata and Classifications Unit Australian Institute of Health and Welfare GPO Box 570 Canberra ACT 2601

Prisoner health DSS Prisoners in custody repeat medications DSS Metadata Online Registry (METeOR)

- 25/8/16 - 1 formulario, 1 itemgroup, 6 items, 1 idioma

Itemgroup: Person

Health sector data set specifications from METeOR, Australia's repository for national metadata standards, developed by the Australian Institute of Health and Welfare (http://meteor.aihw.gov.au/content/index.phtml/itemId/345165) Prisoner health DSS: Prisoners in custody repeat medications DSS The Prisoner health data set specification (DSS) describes data collected from all public and private prisons throughout Australia on prison entrants, prisoners who visit a prison clinic, prisoners who are taking repeat medication while in custody, prison clinic services and staffing levels. The data are used to report against the National Prisoner Health Indicators, assist in monitoring the health of prisoners and inform prisoner health service planning and delivery. In this collection, public and private prisons include those administered by Corrective Services departments, including correctional facilities and remand centres. Excluded from the collection are periodic detention centres, court and police cells, juvenile detention centres, immigration detention centres, secure psychiatric facilities, military prisons, and home detention programs. The Prisoner health DSS contains four component data set specifications: Prison entrants DSS, Prison clinic contact DSS, Prisoners in custody repeat medications DSS, and Prison establishments DSS. The Prisoners in custody repeat medications DSS describes data regarding all instances of prisoners in custody taking repeat medication (Obligation: Mandatory). Metadata and Classifications Unit Australian Institute of Health and Welfare GPO Box 570 Canberra ACT 2601

Acute coronary syndrome (clinical) DSS 2013- Coronary artery cluster Metadata Online Registry (METeOR)

- 4/9/16 - 1 formulario, 1 itemgroup, 14 items, 1 idioma

Itemgroup: Person

Health sector data set specifications from METeOR, Australia's repository for national metadata standards, developed by the Australian Institute of Health and Welfare (http://meteor.aihw.gov.au/content/index.phtml/itemId/345165) Acute coronary syndrome (clinical) DSS 2013-: The scope for the ACS data set specification is to collect data on the period between when a person with ACS symptoms was first referred to a hospital or directly presented at a hospital, and when a person leaves the hospital, either from the emergency department or is discharged from the hospital. Coronary artery cluster: This cluster collects information on the characteristics of and interventions performed for the coronary arteries during the current hospitalisation. The coronary arteries included in this cluster are: · Left anterior descending coronary artery · Inferior surface artery · Left circumflex coronary artery · Diagonal coronary artery · Left main coronary artery · Posterior descending artery · Right coronary artery Metadata and Classifications Unit Australian Institute of Health and Welfare GPO Box 570 Canberra ACT 2601

Acute coronary syndrome (clinical) DSS 2013- Acute coronary syndrome pharmacotherapy data cluster Metadata Online Registry (METeOR)

- 2/9/16 - 1 formulario, 2 itemgroups, 14 items, 1 idioma

Itemgroups: Person with acute coronary syndrome, Person

Health sector data set specifications from METeOR, Australia's repository for national metadata standards, developed by the Australian Institute of Health and Welfare (http://meteor.aihw.gov.au/content/index.phtml/itemId/345165) Acute coronary syndrome (clinical) DSS 2013-: The scope for the ACS data set specification is to collect data on the period between when a person with ACS symptoms was first referred to a hospital or directly presented at a hospital, and when a person leaves the hospital, either from the emergency department or is discharged from the hospital. Acute coronary syndrome pharmacotherapy data cluster: The pharmacotherapies collected in this data cluster are recommended for the management of acute coronary syndromes (ACS) in the national guidelines. The following pharmacotherapies are collected as part of this data cluster: · Aspirin · Angiotensin converting enzyme (ACE) inhibitor · Angiotensin II receptor blocker · Antithrombin · Beta-blocker · Clopidogrel · Fibrinolytic · Glycoprotein IIb/IIIa receptor antagonist · Statin The pharmacotherapy cluster collects information on the type of pharmacotherapies prescribed and the timing of each prescription.

Lung cancer (clinical) DSS Metadata Online Registry (METeOR)

- 7/9/16 - 1 formulario, 6 itemgroups, 47 items, 1 idioma

Itemgroups: Cancer treatment, Health service event, Patient, Person (address), Person with cancer, Person

Health sector data set specifications from METeOR, Australia's repository for national metadata standards, developed by the Australian Institute of Health and Welfare (http://meteor.aihw.gov.au/content/index.phtml/itemId/345165) Lung cancer (clinical) DSS: The purpose of the Lung cancer (clinical) data set specification (LCCDSS) is to define data standards for the national collection of lung cancer clinical data so that data collected is consistent and reliable. Collection of this data set specification is not mandated but it is recommended as best practice if clinical cancer data are to be collected. It will facilitate more consistent data collection while enabling individual treatment centres or health service areas to develop data extraction and collection processes and policies that are appropriate for their service settings. The Lung cancer (clinical) data set specification is used in conjunction with the Cancer (clinical) data set specification (CCDSS). Mandatory reporting regulations have enabled population-based cancer registries in Australia to collect standard information on all incident cases of cancer apart from non-melanoma skin cancers, from which incidence, mortality and overall survival have been determined and trends monitored. The CCDSS provides a framework for the collection of more detailed and comprehensive clinical data such as stage of cancer at diagnosis, other prognostic characteristics, cancer treatment and patient outcomes. The Lung cancer (clinical) data set specification will support prospective data collection from the time a person with cancer symptoms is referred or first presents to a hospital or specialist through the entire duration of their illness. The definitions used in this data set specification are designed to capture the provision of cancer care on a day-to-day level. They relate to the cancer care pathway and the need to optimise care by correctly diagnosing, evaluating and managing patients with cancer. In addition, end-points and patterns of care can be monitored to understand both the appropriateness and effectiveness of cancer care. The data elements specified provide a framework for: • promoting the delivery of evidence-based care to patients with cancer • facilitating the ongoing improvement in the quality and safety of cancer management in treatment settings • improving the epidemiological and public health understanding of cancer • informing treatment guidelines and professional education • guiding resource planning and the evaluation of cancer control activities They will facilitate the aggregation of data across different treatment centres. The underlying long-term goal is to provide data support to improve outcomes for patients by increasing the quality and length of life. For example, a comparison of the actual management of patients with best practice guidelines may identify shortfalls in treatment and limitations in access to treatment modalities for some patients. Metadata and Classifications Unit Australian Institute of Health and Welfare GPO Box 570 Canberra ACT 2601

Acute coronary syndrome (clinical) DSS 2013- Metadata Online Registry (METeOR)

- 2/9/16 - 1 formulario, 10 itemgroups, 84 items, 1 idioma

Itemgroups: Acute coronary syndrome clinical event cluster, Emergency department stay, Episode of admitted patient care, Episode of care, Establishment, Health service event, Laboratory standard, Non-admitted patient emergency department service episode, Person with acute coronary syndrome, Person

Patient Administration Intermittent Prone Positioning Posttraumatic Lung Injury Study

- 25/9/16 - 1 formulario, 6 itemgroups, 38 items, 2 idiomas

Itemgroups: Patient identification, Patient administration, Inclusion criteria, Exclusion criteria, Prognostic factors, Randomization

Intermittent prone positioning in the treatment of severe and moderate posttraumatic lung injury (1999). Background: Severe posttraumatic lung injury is characterized by impairment of gas exchange and pulmonary densities. The influence of intermittent prone positioning on pulmonary gas exchange and parenchymal densities was investigated prospectively in patients with pulmonary injury after multiple trauma with blunt chest trauma. Publication granted by Claudia Ose, ZKS UK Essen. Multizentrische prospektive randomisierte Studie zur Überprüfung der prognostischen und therapeutischen Effektivität der dorsoventralen Wechsellagerung bei Patienten mit posttraumatischem akutem Lungenversagen. Freigegeben durch Frau Claudia Ose, ZKS Essen.

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