Healthcare
Future-proof your business with AI for healthcare
Enhance customer experience and operation excellence to accelerate your business with AI
Your growth partner in AI for healthcare
In today's dynamic healthcare landscape, AI is more than innovation — it's a strategic imperative. Having the right technology in place is crucial, and AI is at the forefront, delivering the results you need to stay competitive. Our AI solutions for healthcare can help you deliver patient-centered care and gain a strategic advantage while excelling in operational excellence for an AI-driven future.
Here’s why you should partner with us
10+ years of consistently delivering exceptional AI Solutions and Services in the healthcare Industry with an outstanding CSAT Score of 9+
Expert understanding of business challenges and evolving healthcare landscape
At the forefront of AI-assisted and innovative data engineering and application development
Our areas of expertise in healthcare
AI Assisted Diagnostics
We use AI to identify disease onset with accuracy and speed, analyze MRI and CT scans and enable physicians to make decisions in real time.
Personalized Medicine
We use the latest tools in machine learning to provide personalized attention and solutions to patients at the individual level.
Drug Development
We leverage the latest technology to analyze data to identify drug targets and predict efficacy, saving effort and time to market.
Patient Monitoring
We help healthcare systems leverage AI for remote patient monitoring and implementation of early warning systems.
Telemedicine
We build telemedicine platforms and applications that use AI for efficient diagnosis and delivery of care.
Surgical Robots
We use computer vision, augmented reality, autonomous navigation and more to make surgeries safer and more efficient.
Operational Automation
We help automate scheduling, transcribing, coding, reporting and documentation using AI.
Want more information?
Book a complimentary consultation with an AI expert today.
SCHEDULE A CALLOur AI engines expedite healthcare business value with industry-specific solutions
Our healthcare case studies
Dive into our case studies, showcasing the powerful impact of innovative AI products and solutions in revolutionizing healthcare sector.
SaaS provider of EHR systems AI integration
Helped an orthopedics focused provider of electronic health record systems overcome the roadblock in integrating NLP capabilities into their SaaS product.
Problem Statement
- Eliminate manual entry into Electronic Health Records.
- Reduce human errors.
- Increase doctor’s efficiency and focus on patient speed to diagnosis.
Solution
- Developed Automated Speech Recognition (ASR) and Natural Language Understanding (NLU) models to convert audio to text, extracting musculoskeletal examination findings for electronic health records.
- Used synthetic transcripts created from clinical EHR data to train a BERT model for Named Entity Recognition (NER).
- An API was created to process audio streams and extract entities, visualizing results using BRAT, an annotation tool.
Results
- $120,000 Saved per doctor on yearly transcription costs.
- The model performed with 85% accuracy.
- Automated manual entry of records in the EHR system.
AI strategy & roadmap for a DME manufacturer
Helped a midsize healthcare organization craft a vision and plan to embrace AI in different business functions.
Problem Statement
- A DME (Durable Medical Equipment) manufacturer with decades of data collected through ERP and CRM systems wanted to explore AI to unlock the value from their data.
- The client had apprehensions about the data quality for successful AI adoption and the return on investment of AI initiatives.
Solution
- Fusemachines conducted AI readiness assessment through its A.I.D.R framework covering technology/infra, data, and organizational adaptability.
- Performed AI opportunity mapping and identified potential AI use cases in different business functions.
- Shortlisted feasible AI use cases and crafted AI roadmap based on vision, impact, and budget.
Results
- Helped the organization upskill and reorganize their Data and AI talent. Saved ~30% in the development costs through strategic sourcing and partnerships.
- Fusemachines’ identified AI use cases delivered quick, positive ROI, helped establish confidence in the AI strategy and secure funding of more AI initiatives.
- Generative AI pilot (a dialog system) in the CRM area increased the NPS score by 0.4 and freed up 1,000+ hours of staff time within 3 months from launch.
Helped an orthopedics focused provider of electronic health record systems overcome the roadblock in integrating NLP capabilities into their SaaS product.
Problem Statement
- Eliminate manual entry into Electronic Health Records.
- Reduce human errors.
- Increase doctor’s efficiency and focus on patient speed to diagnosis.
Solution
- Developed Automated Speech Recognition (ASR) and Natural Language Understanding (NLU) models to convert audio to text, extracting musculoskeletal examination findings for electronic health records.
- Used synthetic transcripts created from clinical EHR data to train a BERT model for Named Entity Recognition (NER).
- An API was created to process audio streams and extract entities, visualizing results using BRAT, an annotation tool.
Results
- $120,000 Saved per doctor on yearly transcription costs.
- The model performed with 85% accuracy.
- Automated manual entry of records in the EHR system.
Helped a midsize healthcare organization craft a vision and plan to embrace AI in different business functions.
Problem Statement
- A DME (Durable Medical Equipment) manufacturer with decades of data collected through ERP and CRM systems wanted to explore AI to unlock the value from their data.
- The client had apprehensions about the data quality for successful AI adoption and the return on investment of AI initiatives.
Solution
- Fusemachines conducted AI readiness assessment through its A.I.D.R framework covering technology/infra, data, and organizational adaptability.
- Performed AI opportunity mapping and identified potential AI use cases in different business functions.
- Shortlisted feasible AI use cases and crafted AI roadmap based on vision, impact, and budget.
Results
- Helped the organization upskill and reorganize their Data and AI talent. Saved ~30% in the development costs through strategic sourcing and partnerships.
- Fusemachines’ identified AI use cases delivered quick, positive ROI, helped establish confidence in the AI strategy and secure funding of more AI initiatives.
- Generative AI pilot (a dialog system) in the CRM area increased the NPS score by 0.4 and freed up 1,000+ hours of staff time within 3 months from launch.
"Fusemachines revolutionized our regulatory compliance product with a data pipeline that efficiently handles healthcare price information. Their expertise ensured exceptional data quality, exceeded TiC Final Rule requirements, and enabled us to deliver a streamlined compliance solution for sustained growth."
David Seger
VP, Data Engineering
FAQs
AI adoption in healthcare is rapidly evolving, with a surge in applications encompassing medical imaging, predictive analytics, and patient management. This transformation is driven by the need to enhance patient outcomes, reduce costs, and improve operational efficiencies.
An AI assessment plays a pivotal role in evaluating your healthcare organization's readiness for AI integration. It not only identifies opportunities for AI but also assesses data quality, infrastructure, and compliance, allowing for a tailored roadmap to maximize AI's impact in areas most relevant to your organization's goals and challenges.
Fusemachines takes a collaborative approach, working closely with your healthcare organization to understand its precise goals, challenges, and operational nuances. This collaborative process ensures that the AI strategy is finely tuned to meet your specific needs, thereby maximizing its impact on your healthcare initiatives.
Our AI Studio maintains its innovative edge through continuous research, collaboration with leading AI experts, and a commitment to leveraging state-of-the-art technologies such as deep learning, natural language processing, computer vision, and reinforcement learning. This ensures that we remain at the cutting edge of AI advancements to benefit your healthcare organization.
AI offers multifaceted benefits in healthcare, from automating administrative tasks and streamlining operations to enabling early disease detection and treatment personalization. By harnessing AI's capabilities, healthcare organizations can optimize resource allocation and provide more precise, patient-centric care.
Creating a tailored AI strategy encompasses a comprehensive process that includes evaluating your organizational objectives, conducting technology assessments, identifying specific use cases, developing an implementation plan, addressing data privacy and ethical concerns, and establishing a clear timeline for AI deployment, all aligned with your healthcare organization's unique context.
Absolutely, Fusemachines' AI engines are designed with seamless integration in mind. They are flexible and adaptable, allowing for a smooth integration into your existing healthcare systems and processes, minimizing disruption while enhancing the overall capabilities of your organization.
Ethical considerations in healthcare AI are paramount and include ensuring robust data privacy protections, transparency in AI decision-making, fairness in algorithmic outcomes, clear accountability mechanisms, and alignment with established medical ethics and regulatory standards. These safeguards are essential for maintaining trust, integrity, and patient well-being in the deployment of AI solutions.
