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documentation:next_cdm:location_history [2016/06/09 21:44] cgreich created |
documentation:next_cdm:location_history [2016/10/14 18:15] (current) gowtham_rao [Table] |
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===== Location History ===== | ===== Location History ===== | ||
- | * Requester: Robert Mill | + | * Requester: Robert Miller |
* Discussion: [[http://forums.ohdsi.org/|here]]. | * Discussion: [[http://forums.ohdsi.org/|here]]. | ||
---- | ---- | ||
=== Proposal === | === Proposal === | ||
+ | |||
+ | 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. | ||
+ | |||
+ | There are several things to consider here: | ||
+ | * An entity (person, care site, device) may change locations over a period of time | ||
+ | * A location may have multiple entities (person, device, care site) over a period of time | ||
+ | * 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 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** | | ||
+ | | res1 | John Doe | location1 | May 1985 | 24:00 | - | - | | ||
+ | | res2 | Jane Doe | location1 | May 1985 | - | - | - | | ||
+ | | res3 | Bob Smith | location2 | July 2011 | - | June 2012 | - | | ||
+ | | res4 | Bob Smith | location3 | July 2012 | 14:55 | August 2012 | 21:00 | | ||
+ | |||
+ | |||
+ | 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 | | ||
+ | |||
+ | |||
+ | |||
---- | ---- | ||
=== Use Cases === | === Use Cases === | ||
+ | |||
+ | * 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? | ||