health implementation, and reflects structural, process and outcome measures. Table 4: National Quality Forum Health Information Technology Measurement Framework Measurement area Example of process measure Quality of clinical decision support Percentage of alerts that occur at the right time, for the right person, in the right context, and are useful System interoperability The extent to which meaningful external data are available to make diagnosis or management decisions (e.g. percentage of completed transactions between any two systems) Patient identification Percentage of potential duplicate patients in the EHR User-centred design, and use of End user involvement in life cycle (design, development, testing, evaluation and simulation implementation, use, evaluation) of HIT (e.g. how participants are selected and how many are involved) System downtime (data availability) Percentage of system uptime or availability (ideally, more than 99.9%) Feedback and information sharing Free and transparent bilateral exchange of information about real-time user experiences, and issues with HIT design and implementation Use of HIT to enable timely and Discharge and transition summary quality (e.g. reason for documentation referral) and completeness Patient engagement Percentage of patient portals that include viewable patient progress notes HIT-focused risk-management Formal processes for evaluating and responding to risks infrastructure EHR = electronic healthcare record; HIT = health information technology
health implementation, and reflects structural, process and outcome measures. Table 4: National Quality Forum Health Information Technology Measurement Framework Measurement area Example of process measure Quality of clinical decision support Percentage of alerts that occur at the right time, for the right person, in the right context, and are useful System interoperability The extent to which meaningful external data are available to make diagnosis or management decisions (e.g. percentage of completed transactions between any two systems) Patient identification Percentage of potential duplicate patients in the EHR User-centred design, and use of testing, evaluation and simulation End user involvement in life cycle (design, development, implementation, use, evaluation) of HIT (e.g. how participants are selected and how many are involved) System downtime (data availability) Percentage of system uptime or availability (ideally, more than 99.9%) Feedback and information sharing Free and transparent bilateral exchange of information about real-time user experiences, and issues with HIT design and implementation Use of HIT to enable timely and documentation Discharge and transition summary quality (e.g. reason for referral) and completeness Patient engagement Percentage of patient portals that include viewable patient progress notes HIT-focused risk-management infrastructure Formal processes for evaluating and responding to risks EHR = electronic healthcare record; HIT = health information technology