- What We Do
-
-
-
Speciality
-
-
-
- Off-the-shelf Data
-
- Solutions
- Platform
- Company
Collect, De-identify, & Annotate large datasets by domain experts in Healthcare
Empowering teams to build world-leading AI products.
80% of all healthcare data is unstructured and inaccessible for further processing. This limits the quantity of usable data and also limits a healthcare organization’s decision-making capabilities. Unless you turn to Shaip.
We have a deep understanding of healthcare terminologies to unlock its potential as a result of years of experience in data transcription, de-identification, and annotation. Add to this we can also deliver the exact healthcare data you need to improve your AI engine.
Industry:
According to a study, 30% of healthcare costs are associated with administrative tasks. AI can automate some of these tasks, like pre-authorizing insurance, following-up on unpaid bills, & maintaining records, to ease the workload.
Industry:
As per recent research, machine-learning algorithms can analyze 3D scans up to 1000 times faster than what is possible today. It can offer real-time assessment and critical inputs to a surgeon to make a more informed decision.
The global healthcare AI market size is expected to grow from USD 3.64 billion in 2019 to USD 33.42 billion by 2026, at a Compound Annual Growth Rate (CAGR) of 46.21% during the forecast period.
AI-enabled systems are not going to completely replace human medical experts. But this technology will enhance their capabilities and effectiveness by automating the most repetitive activities prone to errors. At Shaip, we believe data can positively impact the health of a global population. It’s evident in our cognitive data collection, de-identification, and annotation services. We help organizations to unlock new and critical information found deep within unstructured data i.e. physician notes, discharge summaries, and pathology reports.
Then we give it structure, and purpose through natural language processing (NLP) that delivers domain-specific insights on symptoms, diseases, allergies, and medications. Now the healthcare community, through Shaip AI data, has the right insights to make better decisions that result in better patient outcomes.
AI-enabled companies turn to us to create training data sets so that they can develop cutting-edge machine learning algorithms for the healthcare industry. View our full healthcare catalog.
From advancing care to providing healthcare organizations with a solution to control costs while improving patient outcomes, the right data can power AI and ML to achieve these goals through Shaip. After all, better data means better outcomes.
Readily Available Datasets: View Full Catalog
Our PHI/PII de-identification capabilities include removal of sensitive information such as names and social security numbers that may directly or indirectly connect an individual to their personal data. It is what patients deserve and HIPAA demands.
Our proprietary de-identification platform can anonymize sensitive data in text content with extremely high accuracy. APIs extract the PHI/PII entities present in text or image datasets and then mask, delete, or obscure those fields to provide de-identified data
Shaip annotation services can add the much-needed power to boost your AI engine. X-Ray, CT scans, MRI, and other image-based test reports can be easily screened to predict various ailments. We can help you annotate complex healthcare records i.e. text or images to develop your AI ML models.
We can scale to 1000s of people to manage any size project. The outcome? Faster healthcare image annotation to build your models within your timeframe and budget.
When you need data in real-time you should be able to access APIs just as quickly. This is why Shaip APIs provide real time, on-demand access to the records you need. With Shaip APIs your teams now have fast and scalable access to de-identified records and quality contextualized medical data to complete their AI projects right the first time.
Data that powers Medical AI to life
Shaip provided high-quality data
for AI models in healthcare to improve
patient care. Delivered 30,000+
de-identified clinical documents adhering
to Safe Harbor Guidelines. These clinical
documents were annotated with 9 clinical
entities.
De-identify and annotate clinical documents from domain experts
De-Identified & annotated 30,000+ documents per client guideline
Gold Standard clinical data to develop client’s NLP and Healthcare
Scale data de-identification across different regulatory jurisdictions, including GDPR, HIPAA, and as per Safe Harbor.
The market value of artificial intelligence in healthcare hit a new high in 2020 at $6.7bn. Experts in the field and tech veterans also reveal that the industry would be valued at around $8.6bn by the year 2025.
Data procurement has always been an organizational priority. More so when the concerned data sets are used to train autonomous, self-learning setups.
Our medical data catalog datasets are not only massive but have gold-standard quality data. Rest assured that the data you utilize is secure, de-identified.
Tell us how we can help with your next AI initiative.
Healthcare AI uses artificial intelligence to improve medical services like diagnosis, treatment, and patient management by analyzing healthcare data.
AI improves diagnosis accuracy, reduces costs, automates tasks, and provides personalized treatments, leading to better patient care and outcomes.
AI is used in medical imaging, disease diagnosis, drug discovery, remote patient monitoring, virtual health assistants, and hospital management.
AI offers personalized treatment plans, early disease detection, and real-time remote monitoring, enabling timely interventions and better outcomes.
Shaip de-identifies sensitive data, removing personal information to comply with regulations like HIPAA and GDPR, ensuring secure and ethical data use.
NLP extracts insights from unstructured medical data like physician notes, identifying symptoms, diseases, and treatments for better decision-making.
Yes, we can customize datasets based on demographics like age, gender, or ethnicity, and geographic regions to match your project’s specific needs.
Delivery timelines depend on the complexity and volume of the data requested. We work efficiently to deliver high-quality data within the agreed time frame.
We offer sample datasets or pilot projects so you can evaluate the quality and relevance of the data before committing to a larger purchase.
Pricing depends on factors like data type, volume, customization, and delivery timeline. Contact us for a detailed quote tailored to your project.