Secondary data use activities refer to where data is used for purposes other than the individual care of the patient. This includes activities that contribute to the overall provision of services to a population as a whole or a group of patients with a particular condition.

These activities can also be viewed and downloaded in excel format with examples of data use from the templates and downloads section.

RISK STRATIFICATION FOR EARLY INTERVENTION AND PREVENTION

1. Allocating risk scores and stratifying populations for specified future adverse events causing poor health outcomes to individuals

2. Identifying individuals and groups within risk-stratified cohorts on which interventions will have the greatest impact

MANAGING FINANCES, QUALITY AND OUTCOMES

1. Managing quality of health and care services (inc. clinical audit)

2. Monitoring and evaluating effectiveness of care co-ordination processes

3. Monitoring and evaluating effectiveness of citizen-activation/empowerment processes

4. Monitoring service utilisation, pathway compliance, citizen experience and outcomes

5. Supporting budget planning, management and reporting

6. Calculating and monitoring financial allocations

7. Monitoring activity and cost compliance against contract and agreed plans

8. Comparing provider quality, demand, experience and service user outcomes against contract and agreed plans

9. Improving provider data quality

10. Comparing performance and managing variation across care professionals, services, providers, systems

11. Ensuring compliance with evidence and guidance

12. Maximising services and outcomes within financial envelopes within and across providers

13. Supporting benchmarking, comparisons, regulation and assurance at all levels of the health and care system

14. Producing regulatory compliance reports

PLANNING, IMPLEMENTING AND EVALUATING POPULATION HEALTH STRATEGY

1. Reviewing, evaluating and transforming current health and care service provision across and within populations

2. Understanding how health and care services impact on the health of populations

3. Understanding the impact of wider determinants of health on populations

4. Defining and identifying relevant segments and cohorts within populations driving cost, utilisation and quality challenges including: health inequality groups, preventable and existing conditions and gaps in care

5. Comparing population groups, peers, national and international best practice

6. Designing and evaluating effective risk stratification approaches

7. Identifying future population needs, spend, growth and drivers for change

UNDERTAKING RESEARCH

1. Identifying and managing research cohorts

2. Generating and disseminating research reports

3. Targeting sites for research studies

4. Data-driven study planning

5. Conducting retrospective database studies

6. Combining primary and secondary data in research studies/clinical trials

7. Developing health care apps

8. Developing decision-support tools

9. Conducting time-critical surveillance research

10. Integrating additional data sources

11. Conducting commercial analytics