IQ Medical. The next generation of health informatics Patient & Population Centric Modules.

iQ Medical

The next generation of health informatics

Patient & Population Centric Modules

• A unique Data Validation and PBC Tool with extensive reporting capabilities

• Substantially enhanced in the last few months

• Now includes automatic extraction of data from all clinical systems

iQ Budget Manager

• Only system which automatically references data held in the Practice’s clinical system

• Other validation systems use only Secondary Care Data

• Both political parties are moving towards budgets being held by Practices / PBC Clusters validation will need to be at a very granular level

• Creates critical management intelligence

• Enables validation to take place within the flex and freeze dates

iQ Budget Manager

iQ Budget Manager

iQ Budget Manager

New Expert Analyser / Dashboard

April 2010 release

iQ Predictive Health Manager

Colton Mill – Long Term Conditions Analysis

LTC Number of Patients

Percentage of Patients

Average Risk Score

Average Age

Hypertension 1,398 12.7% 18.9% 68.1Asthma 1,347 12.2% 11.2% 35.4Depression 1,065 9.6% 13.7% 47.2Diabetes 385 3.5% 21.4% 62.6Cancer 287 2.6% 25.8% 67.8COPD 177 1.6% 35.1% 73.2Angina 167 1.5% 29.2% 73.8Heart Failure 114 1.0% 37.1% 74.7

Number of LTCs Number of Patients

Percentage of Patients

Average Risk Score

Average Age

0 7,305 66.2% 6.1% 32.71 2,817 25.5% 11.3% 47.02 693 6.3% 21.7% 62.33 169 1.5% 31.4% 69.64 43 0.4% 38.9% 71.75 8 0.1% 44.2% 70.96 3 0.0% 46.6% 73.37 0 0.0%8 0 0.0%

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Rank By Population

LTC Number of Patients

Percentage of Patients

Average Risk Score

Average Age

Heart Failure 114 1.0% 37.1% 74.7COPD 177 1.6% 35.1% 73.2Angina 167 1.5% 29.2% 73.8Cancer 287 2.6% 25.8% 67.8Diabetes 385 3.5% 21.4% 62.6Hypertension 1,398 12.7% 18.9% 68.1Depression 1,065 9.6% 13.7% 47.2Asthma 1,347 12.2% 11.2% 35.4

Number of LTCs Number of Patients

Percentage of Patients

Average Risk Score

Average Age

0 7,305 66.2% 6.1% 32.71 2,817 25.5% 11.3% 47.02 693 6.3% 21.7% 62.33 169 1.5% 31.4% 69.64 43 0.4% 38.9% 71.75 8 0.1% 44.2% 70.96 3 0.0% 46.6% 73.37 0 0.0%8 0 0.0%

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Long Term Condition profile for all patients registered with Colton Mill by LTC frequency

Long Term Condition profile for all patients registered with Colton Mill by average risk score

• Risk stratification tool based on PARR Combined Model.

• Proactively case finds patients at most risk of hospitalisation.

• Facilitates targeting of resource to those with increasing risk.

• Improvements in patient care closer to home.

• Reduction in hospitalisation episodes and associated costs.

May 2010 release

Product Demonstration

iQ Budget Manager

iQ HealthMaps

Intelligent healthcare through local intelligence

iQ HealthMaps

“Tools should be developed that enable practices to understand the business case for improved health and reduced costs of healthcare by addressing behavioural risk factors in the practice population.

These will support practice based commissioning and underpin a potentially assertive model of practice intervention.”

‘Enabling Effective Delivery of Health and Wellbeing’ Report

DH, February 2010

• Brings together several disparate information sources:

– GP clinical data– Secondary care data– Mosaic Public Sector– Mosaic Origins– Community resources– Locations of businesses and services that influence people’s health and social needs. – Local health infrastructure - locations and details of all GPs, hospitals, pharmacies, dentists opticians, clinics etc in the local health economy.– Geographic boundaries – GP, PBC Consortia, localities, PCT and SHA boundaries. Postcode, ward, output area and IMD areas.– National datasets– Google Maps

• The only intuitive solution which empowers Practice professionals to address complex health prevalence which exists in their patient population

iQ HealthMaps

• Provides understanding of the health needs (met and unmet) and the social and ethnic differences in practice population.

• Identifies where, to whom and how to target approaches to improve health, more cost efficiently.

• Provides a total picture of need – goes beyond NHS data to include important proxy indicators of health and on patient behaviours.

iQ HealthMaps – principle objectives

• Provides evidence needed to produce business cases for service redesign based on the local population’s long-term needs.

• Identifies unmet need, pinpoints conditions where primary care may be failing to pick people up, and place services appropriately.

iQ HealthMaps – principle objectives

Objective comments by FDA

“HealthMaps is an excellent tool whose time is definitely now.”

“We suspect you don’t realise just how good this product is!”

“For GP practices it can help identify morbidity not yet diagnosed improve practice health data, QOF points and result in improved patient care/outcomes.”

“For commissioners it would be an indispensable decision support tool, e.g. decide where to deploy services effectively, such as community matrons – the locations will appear before their very eyes!”

NSMC endorsement

“We believe that HealthMaps is not only the best tool currently available for fusing health, activity, need and cost data but it is also the most user friendly in the market place.

HealthMaps will provide PCTs and other stakeholders with the data analysis they will need as part of a comprehensive scoping stage of any change programme. HealthMaps is also a powerful tool for public health specialists and commissioning staff interested in targeting interventions and monitoring performance”

Professor Jeff French, PhD, MBA, MSc, PGDHEd, BA, Cert Ed.CEO, Strategic Social Marketing Ltd

Founder of and Principal Advisor to the National Social Marketing CentreFormer Director of Planning & Communication, Health Development Agency

Product Demonstration

iQ HealthMaps – principle objectives