Measuring success in the context of EHR selection may seem intuitive.
For example, most individuals can tell if something is working or not. However, when selecting an EHR, measuring success in an objective and meaningful way can be difficult for many reasons.
Defining “success” as an objective and measurable goal can be difficult in that success can be measured on several dimensions, however not all measures of success will apply to a practice setting. Therefore, it is important to set benchmarks for success in areas that are meaningful to your practice.
These may be clinical goals, revenue goals, or organizational goals. Regardless of the benchmark that is selected it is important to bear in mind that the benchmark for success is something that is an indicator of the goal you are trying to reach and that the benchmark for success your practice has set is something that can be objectively measured.
The Healthit.gov website provides a useful guide for setting up benchmark for success using what is referred to as the “SMART” goals process. This process includes setting aims and goals that meet the following criteria:
Specific – Achieving the goal would make a difference for our patients and our practice
Measurable – We can quantify the current level and the target goal
Attainable – Although the goal may be a stretch, we can achieve it
Time bound – There are deadlines and opportunities to celebrate success!
Using the guidelines presented above a practice can rely on the following five signs that an EHR project has been a success. The following list is not exhaustive, as success can be measured by any number of metrics tailored to a practice’s particular circ*mstances. However, the following benchmarks for a successful EHR offer a useful starting point.
1. Patient engagement
Patients who can engage with clinical staff and access their own health information display better outcomes on a range of health metrics. Patient engagement can be measured easily by tracking how many contacts a patient makes with clinicians and whether the patient portal on an EHR is being used to access clinical records.
2. Wait times
Long wait times can be indicative of workflow problems whereby administrative and clinical staff experience difficulty in processing patients in a timely fashion. Wait time can be objectively measured and weighted according to peak times for patient traffic.
With the emphasis on value-based reimbursem*nt, providers should be mindful of the importance of the overall health of their patient populations. A successful EHR
selection can be measured in light of how well it can engage patients with preventative health interventions and improvements on basic health indicators.
4. Care coordination
The ability to share records electronically and coordinate care in a seamless fashion factors heavily in the future of healthcare. As such, a benchmark for success can be found in the percentage of patients whose clinical information is shared electronically across care settings
5. ROI
A financial measure of success, an EHR ROI calculation can provide an overall benchmark for how successful an EHR selection project has been. ROI measures the financial return on investment relative to the investment’s cost.
By setting objective and measurable benchmarks for success a practice can effectively track its progress as to whether an EHR selection has been successful and, if not, the deficiencies that can be corrected in the future.
Some common features to consider include patient scheduling, charting and documentation, e-prescribing, lab integration, billing and coding, interoperability, and reporting capabilities.
Some common features to consider include patient scheduling, charting and documentation, e-prescribing, lab integration, billing and coding, interoperability, and reporting capabilities.
Put simply, the focus of an evaluation of the implementation process is on the types and quantities of policies and interventions delivered, the beneficiaries of those policies and interventions, the resources used to deliver the policies and interventions, the practical problems encountered, and the ways in which such ...
The strategy to test the system includes a pre and post-go-live system testing, a patient communication guideline to include expected downtime, staff scheduling and required overtime or temporary staff, modification of appointments and scheduling, reporting processes for system and project evaluation, communication ...
- What kind of hardware is required to use the system? - Does the system interface with other systems (practice management, hospital systems)? - Is the system maintained and managed onsite or does it follow an ASP model (Application Service Provider, system maintained and managed offsite and accessed online)? - Can the ...
Electronic health records (EHRs) are digital versions of patients' medical records. They contain a wide range of information, including demographics, medical history, medications, allergies, lab results, and imaging reports.
The identified success factors that significantly impact the sustainability of DiGAs include patient-centered design, application effectiveness, user-friendliness, and adherence to data protection and information security regulations using standardized approaches.
Top management must be fully committed to incorporating the training cost as part of the ERP budget. For a successful implementation, you need structured project management, full transparency, and buy-in from users at every level of the organization.
The total EHR success rates was ranging from 47.09 to 74.96%. The results of the Kruskal–Wallis test showed that there was a significant relationship between “gender” and “self-efficacy” (p-value: 0.042).
EHR systems have the unique task of holding a vast pool of clinical data for every patient. They provide a seamless channel for healthcare providers to access this data as required, establishing higher efficiency in patient care.
Effective – providing evidence-based healthcare services to those who need them; Safe – avoiding harm to people for whom the care is intended; and. People-centred – providing care that responds to individual preferences, needs and values.
Outcome measures reflect the impact of the health care service or intervention on the health status of patients. For example: The percentage of patients who died as a result of surgery (surgical mortality rates). The rate of surgical complications or hospital-acquired infections.
Implementation and process evaluations (IPE) cover a wide range of activities that consider whether the key components of an intervention's logic model — including its resources, activities, and population reach — are practical and achievable. For this reason, they are sometimes referred to as feasibility studies.
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