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Displaying records 1 through 6 of 6 found.

Provider Health IT Experience Survey: Health Center Connections HCCN (2021). Resource Type: Template. Description: Health Center Connections, the HCCN organized and supported by the Community Care Network of Kansas, created this survey to ask clinicians at participating health centers about their work environment, productivity, health IT in use, and health IT interventions. The intent of the survey is to collect information from clinicians that can identify opportunities to reduce provider burden through the use of health IT. More Details...

Creating a Plan to Address Provider Satisfaction with Health IT: Intervention Project Planning Template, June 2020 (2020). Resource Type: Template. Description: Provider satisfaction is of critical importance for health centers to promote safety and workforce stability. Organizations may be working to reduce burden or increase satisfaction of the provider workforce. This worksheet, created by HITEQ, assists organizations in operationalizing the information set forth in HITEQ’s Assessing Provider Satisfaction: Designing health IT interventions to improve satisfaction and reduce burden. Review that piece, and then download the project planning template to create a plan of your own. More Details...

Migrant Health Centers & COVID-19 Infographic (2020). Resource Type: Publication. Description: NCFH's infographic describing the results of the most recently available survey data for Migrant Health Centers conducted by HRSA, updated weekly. More Details...

Using the Systems Usability Scale to Assess Patient Portal Systems: English and Spanish Templates (2016). Resource Type: Publication. Description: When deploying personal health information systems such as patient portals Health Centers will often encounter challenges in effectively engaging their patient population. Understanding where these challenges are originating can at times be difficult to determine. One obvious area of evaluation is in determining whether the system being deployed is appropriately usable for the population. When deploying personal health information systems such as patient portals Health Centers will often encounter challenges in effectively engaging their patient population. Understanding where these challenges are originating can at times be difficult to determine. One obvious area of evaluation is in determining whether the system being deployed is appropriately usable for the population. Patient perception of the overall usability of the patient portal system can be evaluated through use of survey instruments such as the Systems Usability Scale (SUS). SUS is a well-established and validated usability scale that helps to determine the value, ease and interest of users of a particular system. Located in the Downloads section below are English and Spanish SUS survey instruments. Also located below is a link to further information on leveraging the SUS measures.  More Details...

Orientation Follow-up Survey (2016). Resource Type: Publication. Description: This follow up survey is given to the employee following the first 2-4 months of employment. This follow up survey is given to the employee following the first 2-4 months of employment. This information is used to inform the supervisor how helpful the orientation was and what, if any, information was missing. It can help improve the new employee orientation for future employees. More Details...

Demystifying Predictive Analytics: Factsheet on Predictive Analytics for Health Centers (2017). Resource Type: Publication. Description: Using predictive analytics in health care is an emerging field, especially for health centers. This tool will provide a brief explanation of the purpose of predictive analytics, the ingredients necessary to apply these methods, and ways that health centers are using this approach to improve results. The objective of this resource is to help health center leadership and staff understand how and when predictive analytics can help them, and to think about how predictive analytics might fit into their data-driven QI program. This one-page brief outlines the basics of this complex topic. We define predictive analytics and describe how health centers are adopting this innovation. Sources and uses of data for making predictions are discussed, and specific applications of predictive analytics are described.  Specific health center examples are offered to illustrate the potential of predictive analytics for health centers. More Details...

This project is supported by the Health Resources and Services Administration (HRSA) of the U.S. Department of Health and Human Services (HHS) as part of an award totaling $6,625,000 with 0 percentage financed with non-governmental sources. The contents are those of the author(s) and do not necessarily represent the official views of, nor an endorsement, by HRSA, HHS, or the U.S. Government. For more information, please visit HRSA.gov.