Difference between revisions of "Registries"

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<ref name="Dombkowski 2012">Dombkowski KJ, Clark SJ.  Redefining Meaningful Use: achieving interoperability with immunization registries.  Am J Prev Med.  2012;42(4):e33-e35.</ref>
 
<ref name="Dombkowski 2012">Dombkowski KJ, Clark SJ.  Redefining Meaningful Use: achieving interoperability with immunization registries.  Am J Prev Med.  2012;42(4):e33-e35.</ref>
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Submitted by (Jessica Roeske)
 
Submitted by (Jessica Roeske)

Revision as of 02:22, 17 October 2018

A registry is as a database containing uniform, clinical information about people. Registires are used to evaluate specified outcomes for a population defined by a particular disease or condition. Information is collected in a systematic and comprehensive way to serve a predetermined scientific, clinical, or policy purpose.


Introduction

Registries can be used for administrative operations, clinical trials, longitudinal observational studies (patient registries), disease management, genetic testing, and medical devices to name a sample few.

Examples of Registries

An example of Administrative Registry would be an admit, discharge and transfer (ADT) portion of the electronic health record (EHR). This can be called the patient or person registry and contains information on patient registration and encounters. This registry then can share information with other parts of the EHR such as financial, clinical or ancillary systems.

Clinical Trials Registries provide information on clinical trials on many conditions and diseases. The National Institute of Health (NIH) has a website that is searchable covering public and private trials from around the world. It can be found at http://clinicaltrials.gov/. There is also a registry set up in trying to match those seeking to be in a clinical trial and those researches conducting clinical trials looking for volunteers to be in their study. Research Match can be found at [1]

Longitudinal Observational Study Registries can also be searched for through the NIH affiliated website clinicaltrials.gov. [2] These studies can be searched by using the advanced search feature and choosing observational as study type.

Disease Management Registries are used to help manage populations with specific diseases. Diabetes, hypertension, and renal failure are a few of the chronic diseases that can be managed more effectively through these applications. The high percentage of patients living with chronic diseases today has spurred the need use evidence based medicine to improve outcomes and lower health care costs associated with these chronic diseases. Some of these registries are available through state level organizations, for example, Washington State created a program called Chronic Disease Electronic Management System (CDEMS) in 2002. This software is/was available for download and use through their website [3]. These programs can often be a first step into transitioning into EHR requirements for pay for performance incentives.

The NIH also started a Genetic Testing Registry in 2011 for the purpose of sharing information on genetic tests, their methodology, purpose and validity. The tests usefulness, laboratory performing it and contact information can all be searched at this site [4].

Medical Device Registries are a useful tool in determining the effectiveness of processes and outcomes. Currently the FDA oversees the registry for medical devices in the US and anyone who manufactures or distributes devices intended to be sold must register it annually through them. Devices are risk stratified, and the highest risk devices, class 3 (ie- heart valves, breast implants, etc.) must undergo pre-market approval with scientific reviews evaluating safety. These devices are also required to be reported on post-market if there are malfunctions or serious injuries related to the device. [5]. There is currently ongoing debate on having a medical device registry looking at outcomes to help in evidence based medical guidelines.

Amended by: (Cindi Feldman)

Clinical Registries

Clinical registries are databases that collect structured, specific data elements. The aggregated data can then be used to assist in patient treatment, public health outreach, payment, and quality improvement.

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