July 19, 2011 06:00 ET

RemedyMD Research Registry Software Selected by Childhood Apraxia of Speech Association of North America (CASANA)

SALT LAKE CITY, UT--(Marketwire - Jul 19, 2011) - RemedyMD® research registry software has been selected by the Childhood Apraxia of Speech Association of North America for the purpose of collecting, analyzing, and managing data in order to accelerate treatments and cures for this rare disorder. Childhood Apraxia of Speech is a motor speech disorder. CASANA will also be able to leverage RemedyMD's QueryBuilder™ and RegistryBuilder™ tools included with their new rare disease registry, RegistryOnDemand™.

For reasons not yet fully understood, children with Apraxia of Speech have great difficulty planning and producing the precise, highly refined and specific series of movements of the tongue, lips, jaw and palate that are necessary for intelligible speech. "Our project using the RemedyMD tools is truly a 'bottom-up' approach to supporting further research into this very challenging and perplexing speech disorder," says Sharon Gretz, Executive Director of CASANA. In the CASANA Apraxia Research Registry, parents and caregivers will enter comprehensive data about their children's history and will have options to upload reports, audio speech files and photos. Qualified researchers will be able to initiate queries to access important data in the registry.

The new patient registry software from RemedyMD aggregates, harmonizes, and links together any organization's relevant data using the Mosaic™ platform, so it can use its powerful querying tools to research data regardless of source. The built-in OntologyManager™ can accommodate all major standards such as LOINC, CPT, ICD, SnoMed, UMLS, and others. Organizations searching for medical research software, including accountable care organizations, use a RemedyMD disease registry to solve the toughest health care IT research problems.

"We're pleased CASANA have completed their requirements gathering phase, as this is the time when RemedyMD really accelerates the process of providing a registry that is ready to use, tailored to the organization's exact parameters and needs. Because RemedyMD has invested close to a decade in its registry technology and millions of dollars, our customers don't have to due to economies of scale. It's a great win-win for patients, researchers serving them, and us as well," comments RemedyMD Founder & CEO, Gary D. Kennedy.

RemedyMD health care IT research software offers key advantages to its users including

  • The ability to link together data that may be contained in thousands of spreadsheets or databases
  • Technology to harmonize all data through an ontology so all data are consistent and research-ready, as well as easy-to-build EDC forms
  • Tools for setting up and managing multiple studies and experiments or biospecimen
  • Robust tools and applications to mine, query, and analyze that data, or create additional registries

Other organizations using a RemedyMD research registry include Wisconsin's Blood Research Institute, Oklahoma Medical Research Foundation, UC Davis, University of Maryland School of Medicine, and many others. RemedyMD is hosting several upcoming free webinars demonstrating its technology. Topics, dates, and times can be viewed at For a free informative white paper on the topic of research registries click here. Learn more about RemedyMD on our Facebook page, on CEO, Gary Kennedy's blog, and on Twitter.

About RemedyMD
A RemedyMD medical registry leverages health care IT software to create better clinical decision support systems and improve clinical research data management -- whether you need an electronic lab notebook, a clinical registry, patient registry software, or a Lab Information Management System (LIMS system). Our tools help collect, host, manage, and query data regardless of source; conduct experiments; manage studies and biospecimen; and help researchers build their own registries. A RemedyMD research registry helps researchers aggregate and harmonize data from widely disparate sources and then identify patterns that result in accelerated discoveries.

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