Advanced Point-of-Care Clinical Information Solutions and Services

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medAnalyze provides a structured, guided and secured access to patient information so that physicians, clinicians, staff, administrators and others may search, collect, organize, analyze and report information contained in the medDataSafe patient information repository.

medAnalyze is a key ingredient in researching and studying individual patient information, groups of patients, entire patient populations, clinical practices and can aggregate any information in medDataSafe. This powerful decision support tool allows clinicians the ability to data mine the collective clinical information in medDataSafe and to identify trends as well as perform fundamental evidence-based longitudinal and retrospective studies.  Research results can be saved for additional analysis.

The system is an easy to use natural-language decision support tool that is integrated into the medEncounter products and operates on all the structured information contained in the medDataSafe database - including all information stored from ancillary systems. 

medAnalyze provides a guided method to use query tools for ad hoc reports as well as standard periodic reports.  No knowledge of a complex query language such as SQL (System Query Language) is needed.  It usually takes less than an hour to learn the system. As an example, here is a query that was built using pick-and-choose menus within medDecision.  The query language, through a series of questions, creates an English-language-like sentence in the clinical vernacular.  The sentence-building aspect of medAnalyze allows non-technical users to successfully query the medDataSafe patient records database. Here is an example of such a constructed query that was run at a client site reviewing over 1.3 million patient records containing over 600,000 discharge records:

" All document types are to be considered. Document group desired is all records. List the most frequent keywords for T D/C Abstract D/C Status for all records that have keywords for T D/C Abstract Pt Sex of F, and have keywords for D/C Abstract Discharge Dx of 410.XX, and have numeric values for T D/C Abstract Pt Age that are in the range of 55 to 74, and do not have keywords for T D/C Abstract Pt Race of White."   

The system then asks if you want to proceed: "Do you wish to execute this query? Yes"

The sample result is as follows:

328 occurrences in 328 documents from Discharge Abstracts:

	D/C Status Code	Frequency	Cum%
1	R - Routine/To Home or Self Care	240	73.2
2	EUA - Expired Unknown if Autopsy Performed	43	86.3
3	ENA - Expired No Autopsy	11	89.6
4	STH - Short Term Hospital	11	93.0
5	SNF - Skilled Nursing Facility	8	95.4
6	EA - Expired Autopsy	6	97.3
7	AMA - Left Against Medical Advice	6	99.1
8	HHC - Home under Home Health Service Org.	2	99.7
9	O - Other Type of Institution.	1	100
	328 documents from Discharge Abstracts.
	Search time 25 seconds.

medAnalyze has the same consistent look-and-feel as all other medEncounter applications and allows clinicians or administrators to access and compile information using the powerful natural-language search engine.  Users ask the database for information by building natural language sentences.  Our sentence builder guides the user. Questions (queries) or requests for information are structured and designed so that the user cannot generate a bad inquiry that would lead to erroneous results. This provides a patient-safe decision support, inquiry & research environment.  All information (data items) in the database can be searched or aggregated (assuming the user has the security privileges). The system will display any item, range of items, combination of items, or document in the system. This includes the ability to combine items from different documents or other Specialty encounter forms.

The system is self-optimizing and will automatically find the fastest method to search, index, aggregate and relate information.  The system can join together (union), complement, or subtract populations as well as allow user editing of the target population(s).

Medical practitioners, administrators or executives can quickly and easily data mine, browse or research single, grouped or entire patient populations and any other data element (such as a drug or allergy) – also track and manage patients and data over time.  Once results are reviewed they may be printed, output to a file or sent to another application (e.g. Microsoft Excel, CDC's Epi Info, or another system in the network, etc.). 

The system has been successfully used by Emory Medical School, GHS and Morehouse Medical School for fundamental medical research, to generate funded grants, and perform studies of patient populations to identify a variety of situations and use of drugs.  The system was used in a ground-breaking study regarding: Aspirin and Nonsteroidal Anti-inflammatory Drug Use and the Risk of Subsequent Colorectal Cancer which was published in the Archives of Internal Medicine, 2/1994.  Another key study is the Heart and Estrogen/Progestin Replacement Study which concluded that postmenopausal therapy with estrogen plus progestin increases risk for venous thromboembolism in women with coronary heart disease. This study was published in Annals of Internal Medicine, 5/2000 and a related study in Journal of the AMA JAMA, 8/1998.

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Last modified: 08/11/08