CodeForPhilly / CodeForPhilly/MATchMapper

Data flow for sites from directory sources and providers

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主要語言
Python
星號
7
分支
5
PR 合併指標
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描述

Our 2021Q1 prototype is sites-centered. So our most important production table is **sites_all**. It will get these kinds of information from datasource audit tables [fields in brackets], fields for 3. onwards = series of boolean columns:

1. **Location** [address, zip | lat, long]
2. **Direct info** [website | phone]
3. **Types of MAT** [mat_bupe, mat_mtd, mat_ntrex, mat_other, mat_any]
4. **Setting** [hospital, outpatient, residential, otp, etc.]
5. **Clients/groups served** [pregnant women, veterans, lgbtq, adolescents, seniors, active duty military, clients referred from court/judicial system, etc.]
6. **Insurance/payment options** [medicaid, private insurance, medicare, military insurance, low cost sliding scale, private pay, etc.]
7. **Services** [telehealth, primary care, childcare, housing, mental health counseling, individual counseling, group counseling, Spanish, etc.]

Provider data CONTRIBUTES this information to sites focus:
1. Additional **sites** with buprenorphine (including practices not listed in any site directory + some listed sites that directories don't recognize as offering bupe)
2. **Medical specialties**
3. A rough idea of **prescribing capacity** [waiver limit, reached patient limit]
4. Possibly helpful info re: **insurance** (I'm not sure we'll be able to process this information enough to do anything with it in our February delivery, but it's worth noting as a component of NPI entries that public health stakeholders may be able to use)

Providers get LINKED to sites through two factors:
- **Location** [address, zip | lat, long | sometimes phone, fax]
- **Buprenorphine** waivers
Noting the second factor matters, because sites that offer only **methadone** and/or **naltrexone** for MAT have no provider links. In 2020, we gave those less attention, because HFP had asked us to focus on buprenorphine. But for an MAT (treatment) finder, the other two options are just as important.

...

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研究方向

Start with the issue's description of the sites_all production table, datasource audit fields, and provider-to-site linking factors. Clarify the intended data flow and February delivery scope before identifying implementation entry points. Done should include an agreed approach for combining directory and provider data while preserving the stated MAT distinctions.

由索引模型根據 Issue 內容生成。

評估

技術堆疊
python
領域
data-engineering, database
Issue 類型
功能
難度
5/5
預估耗時
一週以上
活躍度
停滯
描述清晰度
需要釐清
新手友好度
20/100

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