Custom Healthcare Software Development

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.

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Compliances we follow

Data privacy and security:

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

Healthcare information exchange:

HL7 / FHIR / CCD
CCR / OpenEHR

Other healthcare standards:

CPT / ICD-9 / ICD-10
CDISC / DICOM / LOINC / SNOMED

Content accessibility standards:

WCAG 2.1
Section 508 of the Rehabilitation Act
W3C

Content accessibility standards:

WCAG 2.1
Section 508 of the Rehabilitation Act
W3C

Anti-spam regulations:

CAN-SPAM Act (US)
EuroCAUCE (UA)
CASL (CA)

Software Documentation and Descriptions Standards:

ISO / IEC / IEEE 42010
IEEE 29148-2011
IEEE 1016-2009
IEEE 1063-2001

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

Protected Health Information (PHI)

Patient names
Geographical elements (street address, city, county, or zip code)
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)
Telephone numbers
Fax numbers
Email addresses
Social security numbers
Medical record numbers
Health insurance beneficiary numbers

Account numbers
Vehicle identifiers
Certificate / license numbers
Device attributes or serial numbers
Digital identifiers (website URLs)
IP addresses
Biometric elements (finger, retinal, and voiceprints)
Full face photographic images
Other identifying numbers or codes

Personal Information / Personal Data (PI, PD)

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

Slide

Compliances we follow

Data privacy and security:

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

Healthcare information exchange:

HL7 / FHIR / CCD
CCR / OpenEHR

Other healthcare standards:

CPT / ICD-9 / ICD-10
CDISC / DICOM / LOINC / SNOMED

Content accessibility standards:

WCAG 2.1
Section 508 of the Rehabilitation Act
W3C

Anti-spam regulations:

CAN-SPAM Act (US)
EuroCAUCE (UA)
CASL (CA)

Software Documentation and Descriptions Standards:

ISO / IEC / IEEE 42010
IEEE 29148-2011
IEEE 1016-2009
IEEE 1063-2001

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

Protected Health Information (PHI)

Patient names
Geographical elements (street address, city, county, or zip code)
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)
Telephone numbers
Fax numbers
Email addresses
Social security numbers
Medical record numbers
Health insurance beneficiary numbers
Account numbers
Vehicle identifiers
Certificate / license numbers
Device attributes or serial numbers
Digital identifiers (website URLs)
IP addresses
Biometric elements (finger, retinal, and voiceprints)
Full face photographic images
Other identifying numbers or codes

Personal Information / Personal Data (PI, PD)

Name and surname
Home address
Email address
Identification card number
Location data
Internet Protocol (IP) address
Cookie ID
The advertising identifier of your phone
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

Slide

Server Infrastructure

AWS

EC2

S3

S3 Glacier

RDS

DynamoDB

SMS

SQS

SES

CloudTrail

CloudWatch

GuardDuty

ElastiCache

Elasticsearch

EKS as Kubernetes engine

NLB as a load balancer

Jenkins as CI / CD tool

Grafana as a monitoring system

ECR as Docker repo

Mace

WAF

Terraform

Ansible as a management tool

Nginx as ingress for Kubernetes

Prometheus as a monitoring system

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Front End

Languages & Technologies

JavaScript

HTML5

CSS3

SASS

LESS

TypeScript

Main Libraries

RxJS

NgRx

Angular Universal

Redux

Frameworks

Angular

React

Preact

Vue.js

Ember.js

UI

Angular Material

Bootstrap

Material UI

Package Manager

Gulp.js

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Java Back End

Programming Language

Java

IDE

IntelliJ IDEA / Eclipse or other

Technologies

RESTFull

WebSockets (STOMP+AMQ)

Frameworks

Spring JPA

LocalStack

Spring Boot

Spring Security

Spring MVC

Spring Data

Hibernate

Tools & Utilities

Maven

Git

Postman

Docker

Sonarqube

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PHP Back End

Programming Language

PHP

IDE

PHPStorm

Libraries

RESTFull

WebSockets

Libraries

Laravel Passport

Laravel Permission

L5 Swagger

PHPUnit

Frameworks

Laravel

Symfony

Phalcon

Codeigniter

Zend

CakePHP

Tools & Utilities

Git

Postman

Docker

LocalStack

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Python Back End

Programming Language

Python

IDE

PyCharm

Spyder

PyDev

Libraries

TensorFlow

Matplotlib

Pandas

Numpy

SciPy

Scrapy

PyBrain

PyTorch

Frameworks

Django

Pyramid

TurboGears

Web2Py

Tools & Utilities

Git

Postman

Docker

Technologies

RESTFull

WebSockets

Slide

Node.js Back End

Framework

Express,js

Next.js

Meteor.js

Koa.js

Hapi.js

Technologies

RESTFull

WebSockets

Tools & Utilities

Postman

Sonarqube

Git

Docker

Slide

iOS

Native

Swift

Persistence

React Native

Flutter

Kotlin Multiplatform

Ionic

Xamarin

Apache Cordova

PhoneGap

Frameworks

Combine

Alamofire ObjectMapper

Swinject

Persistence

CoreData

SQLite

Realm

Networking

URLSession

Codable Architecture

Alamofire

Technologies

WebSockets

UI

SwiftUI

UIKit

Package Manager

Swift Package Manager

Cocoapods

Slide

Android

Native

Kotlin

Java

Cross-Platform & Hybrid

React Native

Flutter

Kotlin Multiplatform

Ionic

Xamarin

Apache Cordova

PhoneGap

Persistence

Room

SQLDelight

SDK

Android SDK

KMM

Networking

Retrofit

Ktor

UI

View’s

Jetpack Compose

Technologies

WebSockets

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Third-Party Services

Services

Facebook Login

Apple Sign-In

Google Sign-In

Google Geolocation API

Stripe

Braintree

Docusign

Eversign

Identify 3D

EHR

GAHIN

HealtheConnections

CliniSync

ClinicAid

USPS

Fedex

Media Streaming Servers

Vonage

Twilio

Amazon Chime

Azure Communication Services

Agora

Wowza Media Systems

Microsoft Stream

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Approaches we Apply

Clean Arhitecture

Microservices

SOLID design principles

Event-driven architecture

MVI

Maven multi module concepts

Screaming Architecture

Cloud Agnostic

MVVM

MVP

Security first approach

Cloud based solution

Slide

Server Infrastructure

AWS

EC2

S3

S3 Glacier

RDS

DynamoDB

SMS

SQS

SES

CloudTrail

CloudWatch

GuardDuty

ElastiCache

Elasticsearch

EKS as Kubernetes engine

NLB as a load balancer

Jenkins as CI / CD tool

Grafana as a monitoring system

ECR as Docker repo

Mace

WAF

Terraform

Ansible as a management tool

Nginx as ingress for Kubernetes

Prometheus as a monitoring system

Front End

Languages & Technologies

JavaScript

HTML5

CSS3

SASS

LESS

TypeScript

Main Libraries

RxJS

NgRx

Angular Universal

Redux

Frameworks

Angular

React

Preact

Vue.js

Ember.js

UI

Angular Material

Bootstrap

Material UI

Package Manager

Gulp.js

Java Back End

Programming Language

Java

IDE

IntelliJ IDEA / Eclipse or other

Technologies

RESTFull

WebSockets (STOMP+AMQ)

Frameworks

Spring JPA

LocalStack

Spring Boot

Spring Security

Spring MVC

Spring Data

Hibernate

Tools & Utilities

Maven

Git

Postman

Docker

Sonarqube

PHP Back End

Programming Language

PHP

IDE

PHPStorm

Libraries

RESTFull

WebSockets

Libraries

Laravel Passport

Laravel Permission

L5 Swagger

PHPUnit

Frameworks

Laravel

Symfony

Phalcon

Codeigniter

Zend

CakePHP

Tools & Utilities

Git

Postman

Docker

LocalStack

Python Back End

Programming Language

Python

IDE

PyCharm

Spyder

PyDev

Libraries

TensorFlow

Matplotlib

Pandas

Numpy

SciPy

Scrapy

PyBrain

PyTorch

Frameworks

Django

Pyramid

TurboGears

Web2Py

Tools & Utilities

Git

Postman

Docker

Technologies

RESTFull

WebSockets

Node.js Back End

Framework

Express,js

Next.js

Meteor.js

Koa.js

Hapi.js

Technologies

RESTFull

WebSockets

Tools & Utilities

Postman

Sonarqube

Git

Docker

iOS

Native

Swift

Cross-Platform & Hybrid

React Native

Flutter

Kotlin Multiplatform

Ionic

Xamarin

Apache Cordova

PhoneGap

Frameworks

Combine

Alamofire ObjectMapper

Swinject

Persistence

CoreData

SQLite

Realm

Networking

URLSession

Codable Architecture

Alamofire

Technologies

WebSockets

UI

SwiftUI

UIKit

Package Manager

Swift Package Manager

Cocoapods

Android

Native

Kotlin

Java

Cross-Platform & Hybrid

React Native

Flutter

Kotlin Multiplatform

Ionic

Xamarin

Apache Cordova

PhoneGap

Persistence

Room

SQLDelight

SDK

Android SDK

KMM

Networking

Retrofit

Ktor

UI

View’s

Jetpack Compose

Technologies

WebSockets

Third-Party Services

Services

Facebook Login

Apple Sign-In

Google Sign-In

Google Geolocation API

Stripe

Braintree

Docusign

Eversign

Identify 3D

EHR

GAHIN

HealtheConnections

CliniSync

ClinicAid

USPS

Fedex

Media Streaming Servers

Vonage

Twilio

Amazon Chime

Azure Communication Services

Agora

Wowza Media Systems

Microsoft Stream

Approaches we Apply

Clean Arhitecture

Microservices

SOLID design principles

Event-driven architecture

MVI

Maven multi module concepts

Screaming Architecture

Cloud Agnostic

MVVM

MVP

Security first approach

Cloud based solution

AI Technologies we apply

Machine Learning

Voice Recognition

Object Recognition

Slide

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

Warning about potential episodes

Notifications and Alerts

Results

Reminders

Recommendations

Slide

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

Slide

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

Slide

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

Identification of a potential
medical condition

Medication recognition and
saving relevant data

Slide

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

Slide

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

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

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

LEARN MORE

Client Reviews

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SEVEN’s biggest strength has been their ability to manage the project. They’ve been very understanding and accommodating to our multiple scope changes. Their team has remained flexible to those changes, figuring out ways to repurpose some of their development work to meet our deadlines and budgets, which is wonderful.

Medical Research Platform

CIO

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.

Development from scratch

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

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