Health insurance · New York, United States · Data & research

Closing the gaps in the care network

Megan runs provider contracts at a health insurer in New York. Members keep writing: there is no urgent care near me in your network.

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The challenge

She knows the gaps exist, but not where. Every quarter, an analyst spends a month comparing lists of clinics by hand. By the time the report is ready, new centres have opened, and other insurers have signed them.

How the flow works

With xMap Flows, Megan built Cartographer. Cartographer is an AI employee: a flow of 7 blocks.

  1. On the first Monday of each month,

    First Monday each month (Schedule)

  2. across the five boroughs,

    The five boroughs (Area of interest)

  3. Cartographer finds every urgent care centre,

    Urgent care centres (Nearby places)

  4. skips the ones already in the network,

    Not in the network yet (Match with my table)

  5. keeps those rated four stars or more,

    Rated 4 or more (Filter)

  6. scores how much each one is worth signing,

    Worth signing? (Jev decision)

  7. and hands the contracting team a report with a map.

    Report for contracting (Make a report)

What it solves

The result

Last month's report found thirty-eight well-rated centres outside the network, nineteen of them in Queens and the Bronx, where complaints were highest. Her team signed eleven in six weeks, and complaints about access fell by half.

Megan stopped counting clinics. Now she closes the gaps.

38centres outside the network
11signed in six weeks
-50%access complaints

An illustrative scenario: the figures are modelled to show what the flow produces, not a customer's results.

The flow, block by block

  1. 1

    First Monday each month

    Schedule

    Starts the flow on a timetable.

  2. 2

    The five boroughs

    Area of interest

    Sets where the flow looks: countries, cities or specific places, or areas you draw on a map.

  3. 3

    Urgent care centres

    Nearby places

    Places around a point from xMap’s own places database (300M+ places, refreshed every month): pick the types of place (more than 5,000, such as Restaurant, Cafe, Pharmacy, Hospital or Gas station, or a whole group of them) and how far to look.

  4. 4

    Not in the network yet

    Match with my table

    Looks each incoming item up in one of your tables or saved lists (My data), for example your customers.

  5. 5

    Rated 4 or more

    Filter

    Keeps only the items that match a rule.

  6. 6

    Worth signing?

    Jev decision

    Asks TypeSafe’s Jev model one typed question about each place: yes or no, pick one of your options, or a score on your levels.

  7. 7

    Report for contracting

    Make a report

    Turns the items that reach it into a clean PDF report with your logo and colour: the summary an xMap LLM block wrote for the whole list, the figures, charts of kinds and cities, a map and the list.

Templates to build it

Ready-made flows with the same blocks. Open one, change the city and the kind of place, and run it.

Industries

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