Asistență medicală AI

Data provides a life-giving pulse to Healthcare AI.

Collect, De-identify, & Annotate large datasets by domain experts in Healthcare

Asistență medicală ai

Clienți prezentați

Împuternicirea echipelor să construiască produse AI de top la nivel mondial.

Amazon
Google
Microsoft
Cogknit

There’s an increasing demand for healthcare-based innovation, and AI plays a critical role by processing massive data sets that are far beyond the scope of human ability.

80% din toate datele de asistență medicală sunt nestructurate și inaccesibile pentru prelucrare ulterioară. Acest lucru limitează cantitatea de date utilizabile și, de asemenea, limitează capacitățile de decizie ale unei organizații de asistență medicală. 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 date medicale you need to improve your AI engine.

Industria:

Potrivit unui studiu, 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.

Industria:

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.

O cantitate sănătoasă de expertiză în domeniul sănătății

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.

Oferte cheie

Data Cleansing & Enrichment

Data Licensing & Collection

De-identificarea datelor

Adnotarea și etichetarea datelor

Curățarea datelor

Data Cleansing & Enrichment

  • Converting handwritten data to structured digital format
  • Converting unstructured digital data to a structured format
  • Data cleaning of patient records, EHR data, etc.

Data Collection / Licensing

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

  • Peste 225 de ore de audio dictat de către medic și înregistrările corespunzătoare transcrise
  • 31+ specialități Neurologie, Radiologie, Patologie etc.
  • Peste 5 milioane de seturi de date EHR
De colectare a datelor
De-identificarea datelor

De-identificarea datelor

Capacitățile noastre de deidentificare a PHI/PII includ eliminarea informațiilor sensibile, cum ar fi nume și numere de securitate socială, care pot conecta direct sau indirect o persoană la datele sale personale. Este ceea ce merită pacienții și cere HIPAA.

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

Adnotarea și etichetarea datelor

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.

Putem scala până la 1000 de oameni pentru a gestiona proiecte de orice dimensiune. Rezultatul? Adnotare mai rapidă a imaginilor de asistență medicală pentru a vă construi modelele în intervalul de timp și bugetul dvs.

Adnotarea datelor

API-uri

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.

Soluție pentru lumea reală

Data that powers brings 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
entitate

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ai conversațional

Problemă

De-identify and annotate clinical documents from domain experts
De-identify and annotate clinical documents from domain experts

Soluţie

De-Identified & annotated 30,000+ documents per client guideline
De-identified & annotated 30,000+ documents per client guideline

Rezultat

Gold Standard clinical data to develop client’s NLP and Healthcare
Gold standard clinical data to develop client’s nlp and healthcare

Acoperire cuprinzătoare de conformitate

Scale data de-identification across different regulatory jurisdictions including GDPR, HIPAA, and as per Safe Harbor, De-identification that reduces risks of compromise of PII/PHI

Spuneți-ne cum vă putem ajuta cu următoarea inițiativă AI.

AI in healthcare involves using artificial intelligence technologies to assist in diagnosis, treatment, and patient management.

AI is utilized for disease diagnosis from medical images, personalized treatment recommendations, speeding up drug research, managing medical records, predictive analytics, assisting in surgeries, and offering virtual health assistance.

AI enhances accuracy in diagnosis, boosts efficiency, saves costs, enables personalized treatments, provides predictive insights, and increases healthcare accessibility.

Applications include medical imaging analysis, genomic research, drug discovery, optimizing treatments, remote health monitoring, chatbots for patient queries, and improving hospital operations.

AI manages vast medical data, facilitates early disease detection, optimizes resource allocation, reduces errors, accelerates research, and improves the patient experience.