Shaun Grannis
Biographic Data
| ID | 6070769 |
|---|---|
| NAME | Shaun Grannis |
| GIVEN NAMES | Shaun |
| FAMILY NAME | Grannis |
| SIGNATURE | GRANNIS S |
| AFFILIATIONS | At the time of the study, the authors were with the Regenstrief Institute, Indianapolis, Ind. |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 4 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2008 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
Tracking the burden, distribution, and impact of Post-Covid conditions in diverse populations for children, adolescents, and adults (Track PCC)
These data can help identify which groups are most affected by PCC, and what health differences among demographic groups exist, as well as indicate potential barriers to care. These additional levels of granularity can inform public health action and help direct needed clinical care for patients
A Ride in the Time Machine
We have proposed needed information management capabilities for future US health departments predicated on trends in health care reform and health information technology. Regardless of whether health departments provide direct clinical services (and many will), they will manage unprecedented quantities of sensitive information for the public health core functions of assurance and assessment, including population-level health surveillance and metr…
A Comparison of the Completeness and Timeliness of Automated Electronic Laboratory Reporting and Spontaneous Reporting of Notifiable Conditions
Objectives. We examined whether automated electronic laboratory reporting of notifiable-diseases results in information being delivered to public health departments more completely and quickly than is the case with spontaneous, paper-based reporting. Methods. We used data from a local public health department, hospital infection control departments, and a community-wide health information exchange to identify all potential cases of notifiable con…
A Comparison of the Completeness and Timeliness of Automated Electronic Laboratory Reporting and Spontaneous Reporting of Notifiable Conditions
Objectives. We examined whether automated electronic laboratory reporting of notifiable-diseases results in information being delivered to public health departments more completely and quickly than is the case with spontaneous, paper-based reporting. Methods. We used data from a local public health department, hospital infection control departments, and a community-wide health information exchange to identify all potential cases of notifiable con…
A Comparison of the Completeness and Timeliness of Automated Electronic Laboratory Reporting and Spontaneous Reporting of Notifiable Conditions
Objectives. We examined whether automated electronic laboratory reporting of notifiable-diseases results in information being delivered to public health departments more completely and quickly than is the case with spontaneous, paper-based reporting. Methods. We used data from a local public health department, hospital infection control departments, and a community-wide health information exchange to identify all potential cases of notifiable con…
A Ride in the Time Machine
We have proposed needed information management capabilities for future US health departments predicated on trends in health care reform and health information technology. Regardless of whether health departments provide direct clinical services (and many will), they will manage unprecedented quantities of sensitive information for the public health core functions of assurance and assessment, including population-level health surveillance and metr…
Tracking the burden, distribution, and impact of Post-Covid conditions in diverse populations for children, adolescents, and adults (Track PCC)
These data can help identify which groups are most affected by PCC, and what health differences among demographic groups exist, as well as indicate potential barriers to care. These additional levels of granularity can inform public health action and help direct needed clinical care for patients
Medicine (3 works) · Public health (3 works) · Health care (2 works) · Health information (2 works) · Health information exchange (2 works) · Nursing (2 works) · 2019-20 coronavirus outbreak (1 work) · Accreditation (1 work) · Biostatistics (1 work) · Business (1 work)