Filter Terminology
Accessing Filters
Filters appear alongside most data tables in Atlas (e.g., in the Atlas Library pages, on Technology Detail pages, and in Projects). To access filters, click on the “Filters” button above the table.
Adding Filters
Click on the “Filters” button
Select the filter category either from the list or by using the search
Choose the value(s) and change the operator, if needed
Optionally add more filters, as well as remove a filter or clear all to start over
Note: The dropdown displays filter values sorted by their count (the number of results that will be generated). Click “show more” to see more, or search for a specific filter value if known.
Searching for a Filter
When the specific filter value is known it can be searched for, and any corresponding filter categories will appear, saving time from having to review the entire category list.
Using Multiple Filters
Multiple filters can be used together to narrow the research focus. When multiple filters are combined, AND logic will be applied and results shown in the table will match all chosen filter criteria.
For example, if you filter by Medical Condition is any Parkinson’s Disease and Availability is any Available to purchase, the table will display technologies that have been used to measure Parkinson’s Disease AND are available to purchase.
Given the AND operator between filter categories, subsequent filters will be scoped to what is applicable to the previous filters as well.
Utilizing the example above, adding a subsequent filter will only show the values and the corresponding value count for the selected filter category where it is also true that the technology has been studied in Parkinson's AND is available to purchase.
Changing the Filter Operator
Once a filter is added, it can be refined with an operator selection. The data type for each filter category will influence the operator options. Most filter categories display a drop down for the operator, which allows for it to be changed to any of the following:
is any of | OR logic |
is all of | AND logic |
is none of | NOT logic |
Removing Filters
To remove a filter, simply press the "x" icon next to the selection or click on “clear all” to remove all the applied filters.
Saving Filters
To save a search and filter query, click on the save search button to the right of the search bar. The query, including filters, can then be saved to a project so it can be easily returned to later as new evidence and technologies are added to Atlas.
Technology Filters in Detail
Filter Category | Meaning and/or Use | Example |
Medical Condition | The patient population the device has been studied in | Parkinson’s |
Measure | The health measure or concept of interest captured by the technology | Sleep, Activity |
Regulatory Decision | CE Marked or FDA Registered | - |
Product Evidence Count | How much total evidence the technology has | >5 |
Vendor Evidence Count | How much evidence the vendor has. | >50 |
Technology Type | Physical Sensor or Software-Based Component | - |
Availability | The status of the technology's availability | Available to Purchase |
Form Factor | The physical specifications of hardware | Breath Sensor, Camera, Chip |
Wear Location | The location that the technology is worn and/or used. | Wrist, Ankle, Head |
Sensor Modality | The sensors in the DHT that collect the health measure | Accelerometer, Microphone |
Waterproof | If it's waterproof and, if so, further specifications. | Safe for Swimming |
API/SDK | If the technology has an API (application programming interface) or SDK (software development kit). | Yes: SDK, No: API |
Data Platform | Which platforms the DHT is compatible with | Koneksa Health, Rune Labs |
Evidence Filters in Details
Filter Category | Meaning and/or Use | Example |
Therapeutic Area | Derived from the ICD-10 code relevant to participant’s medical conditions, or health status | Neurology |
Primary Medical Condition | The inclusion criteria for participants in the study (ICD-10) | Parkinson’s Disease |
Concomitant Medical Condition | Additional medical conditions found in the participant sample (ICD-10) | Alzheimer’s Disease |
Measure | The health measure or concept of interest captured by the technology | Sleep, Activity |
Age | The age group of the participant sample | Adults, Children |
DHT Use Context | How objective of the DHT in the research study | Validation, U&U |
V3 Type | If a Validation study, the type of validation performed on the DHT | Analytical Validation |
Model | The specific technology name | GT3X |
Evidence Type | The structure of the evidence | Paper |
Study Design | The methodology of the research | Observational, Longitudinal |
Sample Size | The number of participants | >5 |
Publication Year | The recency of evidence publication | In the last 5 years |
Sponsor Type (CT Only) | Type of organization that sponsored the Clinical Trial | Educational Institution |
Sponsor (CT Only) | The specific organization that sponsored the Clinical Trial | Mayo Clinic |