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--- documentation:next_cdm:location_history [2016/10/14 15:44] – [Table] gowtham_rao
+++ documentation:next_cdm:location_history [2016/10/14 18:15] (current) – [Table] gowtham_rao
@@ Line 7: / Line 7: @@
 === Proposal ===
-In the context of adding GIS capabilities to the CDM:
+The location_id in the Person table is only capable of storing a single location address for an individual. We want to know where a person's location was for a given date-time. This maybe solved using a location_history table, which acts as a relational entity between Person and Location.
-The location_id in the Person table is only capable of storing a single residence for an individual. We want to be able to know where a person's residence was for a given date. In another system, this problem is solved by introducing a Residency table, which acts as a relational entity between Person and Location.
 There are several things to consider here:
-  * A person can change locations over a period of time
+  * An entity (person, care site, device) may change locations over a period of time
-  * A location can have multiple residents over a period of time
+  * A location may have multiple entities (person, device, care site) over a period of time
-  * A person can reside at multiple locations during the same period (e.g. vacation home)
+  * An entity may have more than one locations at the same time (e.g. vacation home for a person, or mailing address vs residing address vs billing address, beneficiaries address vs. subscribers address)
-The first two issues I believe a Residency table could solve. The third, if we are concerned about it, could be resolved by adding a "primary residence" boolean to the table. Note in the table below: both person and location IDs do not need to be unique in the residency table.
+The first two issues maybe solved easily. The third, if we are concerned about it, may be resolved by adding an location type field e.g ("primary residence").
+Note in the table below: both person and location IDs do not need to be unique in the residency table.
 | **location_history_id**  | **person_id**  | **location_id**  | **start_date**  | **start_time**  | **end_date**  | **end_time**  |
@@ Line 25: / Line 25: @@
-It was suggested that, since a large portion of implementations would only have a single location per person, we leave the location_id in the person table and have it refer to the most current residence.
+It was agreed that the location_id in person table would represent the current location of the person.
+It was discussed that location_history may need to be generalized to include device, care site, provider etc. **How do we do that?**
+| **location_history_id**  | **entity_domain_id**  | **entity_id**   | **location_id**  | **start_date**  | **start_time**  | **end_date**  | **end_time**  |
+| res1                     | person                | person_id_1     | location1        | May 1985        | 24:00           | -             | -             |
+| res2                     | provider              | provider_id_1   | location1        | May 1985        | -               | -             | -             |
+| res3                     | care_site             | care_site_id_1  | location2        | July 2011       | -               | June 2012     | -             |
+| res4                     | person                | person_id_2     | location3        | July 2012       | 14:55           | August 2012   | 21:00         |
-The other necessary component for GIS capabilities would be to add latitude and longitude coordinates to the location table, though that may need to be discussed elsewhere.
@@ Line 34: / Line 44: @@
   * What zip code did person x live in when they were diagnosed with y?
   * Are people who live closer to x more likely to y?
+  * Is there a cluster of people with certain conditions, when did that cluster first occur, and has it changed in location over time
   * How do care sites compare in terms of average travel time? Does it matter?
   * Are there hot spots for specific conditions?