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Is this your company? Claim itWe supply regional shared care records, population health analytics and remote monitoring tools to public health and social care systems.
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We serve customers in several European countries, and each imposes different rules on the same clinical record data. Today we track policies per customer through manual review, which is slow and error-prone. A good solution must show consistent lineage, map rules to each national customer, run on premises and in public cloud, and rely on open standards.
We run care across an app, clinics and imaging sites, and each keeps its own patient history. Clinicians often see only part of the picture, and staff reconcile records by hand. A good solution must connect our clinic and imaging record systems, support per-market setup across countries, keep data hosted in-region, and come with a named regional implementation team.
We wish for a tool that watches high-volume quote and partner feeds as they land and flags broken fields, sudden drops and odd shifts before dashboards go wrong. We would judge it on early catch rates, few false alarms, easy setup on our cloud warehouse, and whether a small team can run it without extra staff.
We keep getting asked to support new national interoperability profiles, and our small team can't test and certify them as fast as customers want. Conformance checking is manual and leans on senior engineers. A good solution must know clinical data standards, automate profile validation, fit a lean budget, and work across European and American hours.
Our payment integrity rules live inside our own claims engine, and overpaid or duplicated claims often get caught only after money has gone out. We want detection that flags them before payment, learns beyond hand-coded rules, and plugs into our in-house system without a rebuild. It must handle protected health data under a signed business associate agreement.
We wish for a ramp tool that turns our early-career sales hires into confident reps faster. It should adapt practice scenarios to each person's gaps, work across regions and languages, and fit our existing CRM. We would judge it by time to first qualified pipeline, manager effort saved, and rep confidence.
We're hiring engineers and go-to-market people at the same time, and our recruiting process can't keep pace. Our in-house team is growing but still drowning in coordination. A good solution must set up fast for a lean team, plug into our existing stack, and price by headcount, not enterprise contracts. No long implementations.
We wish there were a connector layer that takes consult notes from our app and writes them into each partner hospital's records system without custom work every time. We would judge it by how little setup a new hospital needs, whether clinicians can read and correct what gets synced, and whether every write leaves an audit trail.
We're growing fast and our engineering interview loops are stretched thin. Senior engineers are pulled off product work to run screens, and candidates wait too long between rounds. A good solution must cut interviewer load without lowering the bar, fit our existing applicant system, treat candidate data carefully, and work well for a remote-first team. We'd want to see proof it works.
We wish for a training workspace that replays real, anonymized alert sequences as drills, so new analysts practice triage the way our shifts actually run. We would judge it by how quickly juniors handle live alerts alone, how clean their escalations are, and whether pricing stays fair when staffing rotates around the clock.
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