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CDSS, queries and statistics FLL July 2011 Claudia Wente-Waedlich

CDSS, queries and statistics FLL July 2011 Claudia Wente-Waedlich

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Definition and relevance for stimulus CDSS CDSS – Clinical decision support system – Implement one clinical decision support rule relevant to specialty or high clinical priority along with the ability to track compliance with that rule. Implement one clinical decision support rule relevant to specialty or high clinical priority along with the ability to track compliance that rule Implement one clinical decision support rule CDS Module

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Page 1: CDSS, queries and statistics FLL July 2011 Claudia Wente-Waedlich

CDSS, queries and statistics

FLL July2011

Claudia Wente-Waedlich

Page 2: CDSS, queries and statistics FLL July 2011 Claudia Wente-Waedlich

Overview

• CDSS – clinical decision support system• Queries – medical selections, marketing

selections, outcome analysis – with names …• Statistics – numbers, numbers, numbers, …

Page 3: CDSS, queries and statistics FLL July 2011 Claudia Wente-Waedlich

Definition and relevance for stimulus CDSS

• CDSS – Clinical decision support system– Implement one clinical decision support rule

relevant to specialty or high clinical priority along with the ability to track compliance with that rule.

Implement one clinical decision support rule relevant to specialty or high clinical priority along with the abilityto track compliance that rule

Implement one clinical decision support rule CDS Module

Page 4: CDSS, queries and statistics FLL July 2011 Claudia Wente-Waedlich

CDSS features and functions

• CDSS (Clinical decision support system)– Building the filter criteria– Assembling the catalog for the different filters

• Purpose: – Patient education– Candidate filtering– Clinical studies– Clinical workflows– Medical programs– Stimulus requirement

Page 5: CDSS, queries and statistics FLL July 2011 Claudia Wente-Waedlich

Definition and relevance for stimulus Queries

• Queries:• Generate patient lists by specific conditions to use for quality

improvement, reduction of disparities, research, or outreach. • Send patient reminders per patient preference for

preventive/follow-up care. – Threshold: 20%– Denominator: All patients 65 years or older or 5 years old or younger– Numerator: Letter “REMIND…..DOC” exists

Generate lists of patients by specific conditions to use for quality improvement, reduction of disparities, researchor outreach

Generate at least one report listing patients of the EP, eligible hospital or CAH with a specific condition

Query function

Send reminders to patients per patient preference for preventive/ follow up care

More than 20% of all unique patients 65 years or older or 5 years old or younger were sent an appropriate reminder during the EHR reporting period

Query function and letter

Page 6: CDSS, queries and statistics FLL July 2011 Claudia Wente-Waedlich

Queries features and functions

• Queries, medical selections:– Prepared selections -> e.g. day report– Individual selections -> medical selections• New glaucoma drug• How many diabetes patients are in the clinic stored

• Purpose:– What outcome analysis are needed?– How often are these analysis needed?– Stimulus requirements

Page 7: CDSS, queries and statistics FLL July 2011 Claudia Wente-Waedlich

Definition and relevance for stimulus Statistics

• Statistics:– Report ambulatory clinical quality measures to

CMS or, in the case of Medicaid EPs, the States. (Not measured in Stimulus Dashboard)

Report ambulatory clinical quality measures to CMS orthe States

For 2011, provide aggregate numerator, denominator, and exclusions through attestation as discussed insection II(A)(3) of this final rule; For 2012, electronically submit the clinical quality measures as discussed in section II(A)(3) of this final rule

Automated measure calculation

Page 8: CDSS, queries and statistics FLL July 2011 Claudia Wente-Waedlich

Statistics features and functions

• Most documented observation classes• Most documented diagnosis• Most documented therapies• Etc.

Page 9: CDSS, queries and statistics FLL July 2011 Claudia Wente-Waedlich

Software

• Software Presentation