About Us

We are SEVEN, established in 2007 and chosen by 100+ clients.

We have a proven expertise in the IT outsourcing and outstaffing services.

Feel free to contact us if you have any questions!

+13237447737

+380676700838

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Healthcare

Strength lies in the narrow specialization. See below what we specialize in.

Software we develop

Over the years, we have gained experience and skills that make us to stand out in healthcare industry, in particular, these kinds of projects.

Real-time Telemedicine solutions

We specialize in building standard-compliant solutions based on a doctor's appointment calendar for planning and providing online PPM and PPS Video and Audio appointments to patients in real-time.

Electronic Health Record (EHR)

Our backend core helps with development of EHR that include patients’ medical history, diagnoses, medications, treatment plans, immunizations, allergies, laboratory and test results, and more.

Clinic Management Software

We develop CMS that contain Clinic services, Doctors and Patients directories, e-Forms, Appointments, Payments, EHR connections, and more. At the same time, Protected Health Information and Personal Patient Data are safe and secure.

Health Information Exchange apps

We build software that use EHR connections to allow all health care providers and patients to appropriately access and securely share a patient's vital medical information electronically.

Patient engagement solutions

Our experience help us efficiently develop treatment planning tools based on key indicators of tracking health, medication, patients' goals, various intermediate results, and more.

Medical education platforms

Our cloud-based platform core allows us to develop educational apps based on training programs and education content-creating tools, knowledge assessment tools, tracking activities, and managing students' success.

You probably have dozens of questions. Let’s talk it through.

CONTACT US
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Compliances we follow

Data privacy and security:

  1. GDPR (EU, UK) / CCPA (US) / HIPAA (US) / PIPEDA (CA)
  2. ISO / IEC 27001
  3. PCI DSS

Healthcare information exchange:

  1. HL7 / FHIR / CCD
  2. CCR / OpenEHR

Other healthcare standards:

  1. CPT / ICD-9 / ICD-10
  2. CDISC / DICOM / LOINC / SNOMED

Content accessibility standards:

  1. WCAG 2.1
  2. Section 508 of the Rehabilitation Act
  3. W3C

Content accessibility standards:

  1. WCAG 2.1
  2. Section 508 of the Rehabilitation Act
  3. W3C

Anti-spam regulations:

  1. CAN-SPAM Act (US)
  2. EuroCAUCE (UA)
  3. CASL (CA)

Software Documentation and Descriptions Standards:

  1. ISO / IEC / IEEE 42010
  2. IEEE 29148-2011
  3. IEEE 1016-2009
  4. IEEE 1063-2001
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The data, which is under global and country-specific regulations

Protected Health Information (PHI)

  1. Patient names
  2. Geographical elements (street address, city, county, or zip code)
  3. Dates related to the health or identity of individuals (incl. birthdates, date of admission / discharge / death or exact age of a patient older than 89)
  4. Telephone numbers
  5. Fax numbers
  6. Email addresses
  7. Social security numbers
  8. Medical record numbers
  9. Health insurance beneficiary numbers
  1. Account numbers
  2. Vehicle identifiers
  3. Certificate / license numbers
  4. Device attributes or serial numbers
  5. Digital identifiers (website URLs)
  6. IP addresses
  7. Biometric elements (finger, retinal, and voiceprints)
  8. Full face photographic images
  9. Other identifying numbers or codes

Personal Information / Personal Data (PI, PD)

  1. Name and surname
  2. Home address
  3. Email address
  4. Identification card number
  5. Location data
  6. Internet Protocol (IP) address
  7. Cookie ID
  8. The advertising identifier of your phone
  9. Data held by a hospital or doctor, which could be a symbol that uniquely identifies a person
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Compliances we follow

Data privacy and security:

  1. GDPR (EU, UK) / CCPA (US) / HIPAA (US) / PIPEDA (CA)
  2. ISO / IEC 27001
  3. PCI DSS

Healthcare information exchange:

  1. HL7 / FHIR / CCD
  2. CCR / OpenEHR

Other healthcare standards:

  1. CPT / ICD-9 / ICD-10
  2. CDISC / DICOM / LOINC / SNOMED

Content accessibility standards:

  1. WCAG 2.1
  2. Section 508 of the Rehabilitation Act
  3. W3C

Anti-spam regulations:

  1. CAN-SPAM Act (US)
  2. EuroCAUCE (UA)
  3. CASL (CA)

Software Documentation and Descriptions Standards:

  1. ISO / IEC / IEEE 42010
  2. IEEE 29148-2011
  3. IEEE 1016-2009
  4. IEEE 1063-2001

The data, which is under global and country-specific regulations

Protected Health Information (PHI)

  1. Patient names
  2. Geographical elements (street address, city, county, or zip code)
  3. Dates related to the health or identity of individuals (incl. birthdates, date of admission / discharge / death or exact age of a patient older than 89)
  4. Telephone numbers
  5. Fax numbers
  6. Email addresses
  7. Social security numbers
  8. Medical record numbers
  9. Health insurance beneficiary numbers
  10. Account numbers
  11. Vehicle identifiers
  12. Certificate / license numbers
  13. Device attributes or serial numbers
  14. Digital identifiers (website URLs)
  15. IP addresses
  16. Biometric elements (finger, retinal, and voiceprints)
  17. Full face photographic images
  18. Other identifying numbers or codes

Personal Information / Personal Data (PI, PD)

  1. Name and surname
  2. Home address
  3. Email address
  4. Identification card number
  5. Location data
  6. Internet Protocol (IP) address
  7. Cookie ID
  8. The advertising identifier of your phone
  9. Data held by a hospital or doctor, which could be a symbol that uniquely identifies a person

Which software has to be Compliant?

Any software, healthcare startup, or clinic tool that stores, shares, or has access to patients’ identifiable health information must be compliant.

Technologies we use

Healthcare software products require a solid, reliable and time-tested technology stack due to constant maintenance and an extended lifespan. We use it.
Server Cloud

Front End

Back End

Mobile

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Front End

Languages & Technologies

Frameworks

JavaScript

HTML5

CSS3

SASS

LESS

Angular 13

React 17

Preact 10

Vue.js 3

Main Libraries

UI

Package Manager

RxJS

NgRx

Angular Universal

Redux

Angular Material

Bootstrap

Material UI

Gulp.js

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Java Back End

Programming Language

Java 11

IDE

IntelliJ IDEA/Eclipse or other

Frameworks

Spring JPA

Docker

Localstack

AWS S3

RESTFull

WebSockets (STOMP+AMQ)

AWS SQS

AWS SES

Spring Boot

Spring Security

Spring MVC

Spring Data

Hibernate

Tools & Utilities

Maven

Git

Sonarqube

Architecture

Security and cloud concepts

SaaS web app architecture

Event driven, event sourcing approaches

SOLID and Maven multi module concepts

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PHP Back End

Programming Language

PHP

IDE

PHPStorm

Libraries

Laravel Passport

Laravel Permission

L5 Swagger

PHPUnit

Frameworks

Laravel

Symfony

Phalcon

Codeigniter

Zend

CakePHP

RESTFull

WebSokets

Tools & Utilities

Git

LocalStack

Docker

AWS S3

AWS SES

AWS SMS

AWS SQS

AWS DynamoDB

Architecture

Security and cloud concepts

SaaS web app architecture

Event driven, event sourcing approaches

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Python Back End

Programming Language

Python

IDE

PyCharm

Spyder

PyDev

Libraries

TensorFlow

Matplotlib

Pandas

Numpy

SciPy

Scrapy

PyTorch

PyBrain

Framefork

Django

Pyramid

TurboGears

Web2Py

Tools & Utilities

Git

Docker

Architecture

SOLID design principles

SAAS was app architecture

Security and could concepts

Event-driven architecture

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Node. js Back End

Framework

Express,js

Technologies

Kafka

AWS S3

AWS SES

WebSockets

Docker

AWS SQS

Spring Boot

Postman

Git

Sonarqube

Tools & Utilities

Microservices

Cloud Agnostic

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Server Infrastructure

Cloud AWS

EKS as Kubernetes engine

NLB as a load balancer

Nginx as ingress for Kubernetes

Amazon Elasticsearch Service as ELK stack for logging

S3 as a storage engine

S3 Glacier

Amazon ElastiCache Service as Redis engine

RDS as SQL DB engine.

Prometheus as a monitoring system.

Grafana as a monitoring system.

ECR as Docker repo.

Jenkins as CI/CD tool

EC2 for Jenkins's needs

WAF

Terraform

Ansible as a management tool

CloudWatch

GuardDuty

Mace

CloudTrail

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Third-Party Services

Services

Facebook Login

Apple REST API

Google Sign-In

Google Geolocation API

Stripe

Braintree

Docusign

Eversign

Identify 3D

EHR

GAHIN

HealtheConnections

CliniSync

ClinicAid

USPS

Fedex

Media Streaming Servers

Vonage Communications APIs

Twilio

Amazon Chime SDK

Azure Communication Services

Agora

Wowza Media Systems

Microsoft Stream

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iOS

Programming Language

Swift 5.5

Persistence

CoreData

SQLite

Realm

UI

SwiftUI

UIKit

Package Manager

Swift Package Manager

Cocoapods

Frameworks

Combine

Alamofire ObjectMapper

Swinject

Networking

URLSession

Codable Architecture

Alamofire

Architecture

Clean Architecture

Screaming Architecture

Apple MVVM

MVP

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Android

Language

Kotlin

SDK

Android SDK

KMM

UI

Android view

Compose

Persistence

Room

SQLDelight

Networking

Retrofit

Ktor

Architecture

Clean Arhitecture

MVVM

MVI

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Front End

Languages & Technologies

JavaScript

HTML5

CSS3

SASS

LESS

Frameworks

Angular 13

React 17

Preact 10

Vue.js 3

Main Libraries

RxJS

NgRx

Angular Universal

Redux

UI

Angular Material

Bootstrap

Material UI

Package Manager

Gulp.js

Java Back End

Programming Language

Java 11

IDE

IntelliJ IDEA/Eclipse or other

Frameworks

Spring JPA

Docker

Localstack

AWS S3

RESTFull

WebSockets (STOMP+AMQ)

AWS SQS

AWS SES

Spring Boot

Spring Security

Spring MVC

Spring Data

Hibernate

Tools & Utilities

Maven

Git

Sonarqube

Architecture

Security and cloud concepts

SaaS web app architecture

Event driven, event sourcing approaches

SOLID and Maven multi module concepts

PHP Back End

Programming Language

PHP

IDE

PHPStorm

Libraries

Laravel Passport

Laravel Permission

L5 Swagger

PHPUnit

Frameworks

Laravel

Symfony

Phalcon

Codeigniter

Zend

CakePHP

RESTFull

WebSokets

Tools & Utilities

Git

LocalStack

Docker

AWS S3

AWS SES

AWS SMS

AWS SQS

AWS DynamoDB

Architecture

Security and cloud concepts

SaaS web app architecture

Event driven, event sourcing approaches

Python Back End

Programming Language

Python

IDE

PyCharm

Spyder

PyDev

Libraries

TensorFlow

Matplotlib

Pandas

Numpy

SciPy

Scrapy

PyTorch

PyBrain

Framefork

Django

Pyramid

TurboGears

Web2Py

Tools & Utilities

Git

Docker

Architecture

SOLID design principles

SAAS was app architecture

Security and could concepts

Event-driven architecture

Node. js Back End

Framework

Express,js

Technologies

Kafka

AWS S3

AWS SES

WebSockets

Docker

AWS SQS

Spring Boot

Postman

Git

Sonarqube

Tools & Utilities

Microservices

Cloud Agnostic

Server Infrastructure

Cloud AWS

EKS as Kubernetes engine

NLB as a load balancer

Nginx as ingress for Kubernetes

Amazon Elasticsearch Service as ELK stack for logging

S3 as a storage engine

S3 Glacier

Amazon ElastiCache Service as Redis engine

RDS as SQL DB engine.

Prometheus as a monitoring system.

Grafana as a monitoring system.

ECR as Docker repo.

Jenkins as CI/CD tool

EC2 for Jenkins's needs

WAF

Terraform

Ansible as a management tool

CloudWatch

GuardDuty

Mace

CloudTrail

Third-Party Services

Services

Facebook Login

Apple REST API

Google Sign-In

Google Geolocation API

Stripe

Braintree

Docusign

Eversign

Identify 3D

EHR

GAHIN

HealtheConnections

CliniSync

ClinicAid

USPS

Fedex

Media Streaming Servers

Vonage Communications APIs

Twilio

Amazon Chime SDK

Azure Communication Services

Agora

Wowza Media Systems

Microsoft Stream

iOS

Programming Language

Swift 5.5

Persistence

CoreData

SQLite

Realm

UI

SwiftUI

UIKit

Package Manager

Swift Package Manager

Cocoapods

Frameworks

Combine

Alamofire ObjectMapper

Swinject

Networking

URLSession

Codable Architecture

Alamofire

Architecture

Clean Architecture

Screaming Architecture

Apple MVVM

MVP

Android

Language

Kotlin

SDK

Android SDK

KMM

UI

Android view

Compose

Persistence

Room

SQLDelight

Networking

Retrofit

Ktor

Architecture

Clean Arhitecture

MVVM

MVI

AI Technologies we apply

Machine learning

Voice recognition

Object recognition

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Machine learning

We use classical machine learning and neural networks for processing data sets to find automated solutions for complex analytical tasks to predict, warn, and prevent.

Health Indicators

Signs of Medical Conditions

Data Sets

Mental Health Signs

Treatment Trackers Data

Analysis
Algorithms

Warning about potential episodes

Notifications and Alerts

Results

Reminders

Recommendations

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Voice Recognition

We apply voice recognition tools to send inquiries and notifications, complete forms, and more to simplify the interaction within healthcare applications for patients and healthcare providers.

Vocal form completion

Voice data entry

Ways of Operating

Specific content creation

Speech-to-Text
Text-to-Speech
Voice Bots

Sending requests, inquiries, etc.

Health indicators recording

Realization

Health information recording

Audio instructions, reminders, messages

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3rd Party Services for Voice Recognition

We use third-party services to connect Voice Recognition functionality to custom
solutions within the healthcare industry.

Vonage

TensorFlow

Amazon Transcribe

Twilio

Google API

Microsoft Speech Recognition

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Object Recognition

Using image recognition algorithms according to the set standards to create a knowledge database that gains more value in the long term. The method is based on the increased involvement of healthcare providers and patients in this initial process.

Smart camera usage

Face scans

Action

Scanning body parts

Scanning blister packs, labels, etc.

Object
Recognition

Detection of face masks, mood, etc.

Person identification and
security increase

Purpose

Medication recognition and
saving relevant data

Identification of a potential
medical condition

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3rd Party Services for Object Recognition

We add Object Recognition functionality to our healthcare projects through different
third-party services listed below and others.

Wikitude

Amazon Rekognition

Google - Vision AI

Microsoft API

Azure Custom Vision

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Machine learning

We use classical machine learning and neural networks for processing data sets
to find automated solutions for complex analytical tasks
to predict, warn, and prevent.

Data Sets

Health Indicators
Signs of Medical Conditions
Mental Health Signs
Treatment Trackers Data
Analysis
Algorithms

Results

Warning about potential episodes
Notifications and Alerts
Reminders
Recommendations

Voice Recognition

We apply voice recognition tools to send inquiries and notifications, complete forms, and more to simplify the interaction within healthcare applications for patients and healthcare providers.

Ways of Operating

Vocal form completion
Voice data entry
Specific content creation
Speech-to-Text
Text-to-Speech
Voice Bots

Realization

Sending requests, inquiries, etc.
Health indicators recording
Health information recording
Audio instructions, reminders, messages

3rd Party Services for Voice Recognition

We use third-party services to connect Voice Recognition functionality to custom
solutions within the healthcare industry.
Vonage
Twilio
Google API
TensorFlow
Amazon Transcribe
Microsoft Speech Recognition

Object Recognition

Using image recognition algorithms according to the set standards to create a knowledge database that gains more value in the long term. The method is based on the increased involvement of healthcare providers and patients in this initial process.

Action

Smart camera usage
Face scans
Scanning body parts
Scanning blister packs, labels, etc.
Object
Recognition

Purpose

Detection of face masks, mood, etc.
Person identification and security increase
Medication recognition and saving relevant data
Identification of a potential medical condition

3rd Party Services for Object Recognition

We add Object Recognition functionality to our healthcare projects through different
third-party services listed below and others.
Wikitude
Amazon Rekognition
Microsoft API
Google - Vision AI
Azure Custom Vision

Case Studies

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INDUSTRY

Anti-Aging Therapy Apps Based on DNA Data

A leading Life Science, Bioinformatics and Genetics Data Analytics company from Switzerland needed to display all the data representation of their clinical research on their users’ devices.

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INDUSTRY

HIPAA Compliant App for Accessing Vital Info from Health Information Exchange

Web and Mobile applications provide first responders and EMS personnel with access to critical patient information that resides within the Health Information Exchange.

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INDUSTRY

IPTV For Autism TV Channel

Our client created a whole specifically focused streaming television service, and our team developed advanced IPTV solutions for live and non-live TV/stream.

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INDUSTRY

Mobile App for Parkinson’s Disease Severity Assessment

Frequent smartphone data collection combined with machine learning algorithms in a simple mobile app makes managing Parkinson’s disease more accurate, explicit and help treat the disorder better.

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INDUSTRY

Smart Diapers Mobile and Web Apps compatible with Virtual Assistant

Our team has developed iOS and Web apps that can be perfectly suitable for both medical personnel in daycare centers use and personal use by young parents.

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INDUSTRY

UK NHS Compliant P2P Telemedicine Apps

This software has been developed for our UK client that needed secure, instant and up-to-date mobile telemedicine apps for online patient-doctor consultations, making prescriptions and booking appointments.

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Client Reviews

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After speaking with SEVEN, we knew they understood what we wanted and how to make it because they’d done it before. Overall, they’ve been outstandingly professional; the team anticipates needs and explains everything in an easy way to understand. Everything with them is fantastic and problem-free.

Mental Health Counseling Platform

Operations Manager
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SEVEN produces on-target deliverables according to complex requirements. The product they developed is visually appealing and well-organized. SEVEN demonstrated that they have a large infrastructure. They have a lot of people on their team who are professional and know their jobs very well.

Health Supplement Provider

Former COO
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I could go to them at any point, and they were always responsive and available to help us. I think SEVEN offers a very good value for money. They delivered a quality solution, it was very well executed, and it worked as requested. Project management is a great strength for them, and they were able to explain technical issues to a non-technical point person.

Medical Care App

CEO
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What kind of software development approach are you interested in?

Using our solutions

Modular approach based on our existing architecture cores to reduce time and costs of software development.
CONTACT US

Development from scratch

Full-scale development process with every element designed and built from zero, including the core, etc.