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.
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
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
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
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
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
Tools & Utilities
Postman
Git
Sonarqube
Architecture
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
Programming Language
Kotlin
SDK
Android SDK
KMM
UI
Android view
Compose
Persistence
Room
SQLDelight
Networking
Retrofit
Ktor
Architecture
Clean Arhitecture
MVVM
MVI
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
Tools & Utilities
Postman
Git
Sonarqube
Architecture
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
Programming 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
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
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
3rd Party Services for Voice Recognition
We use third-party services to connect Voice Recognition functionality to custom
solutions within the healthcare industry.
solutions within the healthcare industry.
Vonage
TensorFlow
Amazon Transcribe
Twilio
Google API
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.
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
3rd Party Services for Object Recognition
We add Object Recognition functionality to our healthcare projects through different
third-party services listed below and others.
third-party services listed below and others.
Wikitude
Amazon Rekognition
Google - Vision AI
Microsoft API
Azure Custom Vision
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.
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.
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.
third-party services listed below and others.
Wikitude
Amazon Rekognition
Microsoft API
Google - Vision AI
Azure Custom Vision
Case Studies
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.
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.
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.
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.
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.
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.
Client Reviews
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
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
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
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.