Try : Insurtech, Application Development

AgriTech(1)

Augmented Reality(21)

Clean Tech(9)

Customer Journey(17)

Design(45)

Solar Industry(8)

User Experience(68)

Edtech(10)

Events(34)

HR Tech(3)

Interviews(10)

Life@mantra(11)

Logistics(6)

Manufacturing(3)

Strategy(18)

Testing(9)

Android(48)

Backend(32)

Dev Ops(11)

Enterprise Solution(33)

Technology Modernization(9)

Frontend(29)

iOS(43)

Javascript(15)

AI in Insurance(39)

Insurtech(67)

Product Innovation(59)

Solutions(22)

E-health(12)

HealthTech(24)

mHealth(5)

Telehealth Care(4)

Telemedicine(5)

Artificial Intelligence(153)

Bitcoin(8)

Blockchain(19)

Cognitive Computing(8)

Computer Vision(8)

Data Science(23)

FinTech(51)

Banking(7)

Intelligent Automation(27)

Machine Learning(48)

Natural Language Processing(14)

expand Menu Filters

Doctor Who? AI Takes Center Stage in American Healthcare

You’re watching an episode of Grey’s Anatomy, and Dr. Meredith Grey isn’t just relying on her surgical skills and medical knowledge but also consulting an AI system that provides real-time diagnostics and treatment recommendations. It might sound like science fiction, but this is rapidly becoming a reality in the healthcare landscape of the USA.

The Dawn of AI in Healthcare

You walk into a hospital where a highly sophisticated AI does your initial screening. Your symptoms are analyzed, and a preliminary diagnosis is ready before you even see a doctor. This is not a far-off future; it’s happening now. For instance, AI-driven tools like IBM’s Watson Health are already assisting doctors by sifting through vast amounts of medical data to identify the most effective treatments for cancer patients.

Transforming Patient Care with AI

AI’s integration into healthcare is enriching patient care in ways we never thought possible. Here are some specific advancements:

AI-Powered Radiology

Advanced AI systems like Google’s DeepMind Health are employing deep learning to diagnose eye diseases from retinal scans with a high degree of accuracy. These AI systems can identify conditions such as diabetic retinopathy and age-related macular degeneration, often before symptoms become severe. For CXOs and CSOs, integrating such AI systems can lead to earlier intervention, reduced costs from late-stage treatments, and better patient outcomes.

Predictive Analytics in Hospitals

Predictive analytics is revolutionizing hospital care by forecasting patient deterioration, readmission risks, and even potential outbreaks of hospital-acquired infections. For example, a system developed by Johns Hopkins uses AI to predict septic shock hours before it happens, giving doctors crucial time to intervene. This predictive capability can significantly reduce mortality rates and improve hospital efficiency, making it a critical investment for healthcare executives aiming to enhance patient safety and operational performance.

Natural Language Processing (NLP) in Medical Records

AI-driven NLP tools are transforming the way physicians interact with medical records. Companies like Nuance have developed AI assistants that can transcribe and analyze physician-patient conversations, ensuring that critical information is accurately captured and reducing the administrative burden on healthcare providers. For healthcare leaders, this means less time on documentation and more time on patient care, improving both provider satisfaction and patient experiences.

AI in Personalized Medicine

Startups like Tempus are using AI to analyze clinical and molecular data at scale, helping oncologists create personalized cancer treatment plans. By examining the genetic mutations in a patient’s tumor, AI can suggest targeted therapies that are more likely to be effective. This precision approach not only improves treatment outcomes but also optimizes resource allocation and treatment costs, offering a compelling value proposition for chief strategy officers focused on innovation and patient-centered care.

The Numbers Speak for Themselves

AI’s impact on healthcare is not just theoretical; compelling data back it:

  • Increased Early Detection: According to the American Cancer Society, AI in mammography has increased early detection rates by 20-30%.
  • Operational Efficiency: Healthcare providers utilizing AI have reported a 15-20% increase in efficiency, allowing them to treat more patients with the same resources.
  • Cost Savings: The McKinsey Global Institute estimates that AI could save the healthcare industry up to $100 billion annually through improved efficiencies in clinical and operational processes.

Quick Facts and Resources

AI in healthcare is expected to grow at a CAGR of 38.5% from 2024 to 2030, according to Grand View Research. Additionally, a study published in The Lancet found that an AI system outperformed radiologists in diagnosing pneumonia from chest X-rays.

Real-World Impact: 

PathomIQ, a leading computational pathology company in the USA, uses an AI-powered cancer detection and grading platform that uses deep learning to identify patterns of prostate cancer in whole slide images (WSIs), reducing pathologists’ workload by requiring a review of only 5% of data. This automation through predictive annotations and high-speed processing demonstrates AI’s transformative potential in cancer detection, grading, and personalized therapy design.

Explore how AI solutions can transform your healthcare practice by checking out our case studies.

Cancel

Knowledge thats worth delivered in your inbox

Empowering Frontline Healthcare Sales Teams with Mobile-First Tools

In healthcare, field sales is more than just hitting quotas—it’s about navigating a complex stakeholder ecosystem that spans hospitals, clinics, diagnostics labs, and pharmacies. Reps are expected to juggle compliance, education, and relationship-building—all on the move.

But, traditional systems can’t keep up. 

Only 28% of a rep’s time is spent selling; the rest is lost to administrative tasks, CRM updates, and fragmented workflows.

Salesforce, State of Sales 2024

This is where mobile-first sales apps in healthcare are changing the game—empowering sales teams to work smarter, faster, and more compliantly.

The Real Challenges in Traditional Field Sales

Despite their scale, many healthcare sales teams still rely on outdated tools that drag down performance:

  • Paper-based reporting: Slows down data consolidation and misses real-time insights
  • Siloed CRMs: Fragmented systems lead to broken workflows

According to a study by HubSpot, 32% of reps spend at least an hour per day just entering data into CRMs.

  • Managing Visits: Visits require planning, which may involve a lot of stress since doctors have a busy schedule, making it difficult for sales reps to meet them.
  • Inconsistent feedback loops: Managers struggle to coach and support reps effectively
  • Compliance gaps: Manual processes are audit-heavy and unreliable

These issues don’t just affect productivity—they erode trust, delay decisions, and increase revenue leakage.

What a Mobile-First Sales App in Healthcare Should Deliver

According to Deloitte’s 2025 Global Healthcare Executive Outlook, organizations are prioritizing digital tools to reduce burnout, drive efficiency, and enable real-time collaboration. A mobile-first sales app in healthcare is a critical part of this shift—especially for hybrid field teams dealing with fragmented systems and growing compliance demands.

Core Features of a Mobile-First Sales App in Healthcare

1. Smart Visit Planning & Route Optimization

Field reps can plan high-impact visits, reduce travel time, and log interactions efficiently. Geo-tagged entries ensure field activity transparency.

2. In-App KYC & E-Detailing

According to Viseven, over 60% of HCPs prefer on-demand digital content over live rep interactions, and self-detailing can increase engagement up to 3x compared to traditional methods.
By enabling self-detailing within the mobile app, reps can deliver compliance-approved content, enable interactive, personalized detailing during or after HCP visits, and give HCPs control over when and how they engage.

3. Real-Time Escalation & Commission Tracking

Track escalation tickets and incentive eligibility on the go, reducing back-and-forth and improving rep satisfaction.

4. Centralized Knowledge Hub

Push product updates, training videos, and compliance checklists—directly to reps’ devices. Maintain alignment across distributed teams. 

5. Live Dashboards for Performance Tracking

Sales leaders can view territory-wise performance, rep productivity, and engagement trends instantly, enabling proactive decision-making.

Case in Point: Digitizing Sales for a Leading Pharma Firm

Mantra Labs partnered with a top Indian pharma firm to streamline pharmacy workflows inside their ecosystem. 

The Challenge:

  • Pharmacists were struggling with operational inefficiencies that directly impacted patient care and satisfaction. 
  • Delays in prescription fulfillment were becoming increasingly common due to a lack of real-time inventory visibility and manual processing bottlenecks. 
  • Critical stock-out alerts were either missed or delayed, leading to unavailability of essential medicines when needed. 
  • Additionally, communication gaps between pharmacists and prescribing doctors led to frequent clarifications, rework, and slow turnaround times—affecting both speed and accuracy in dispensing medication. 

These challenges not only disrupted the pharmacy workflow but also created a ripple effect across the wider care delivery ecosystem.

Our Solution:

We designed a custom digital pharmacy module with:

  • Inventory Management: Centralized tracking of sales, purchases, returns, and expiry alerts
  • Revenue Snapshot: Real-time tracking of dues, payments, and cash flow
  • ShortBook Dashboard: Stock views by medicine, distributor, and manufacturer
  • Smart Reporting: Instant downloadable reports for accounts, stock, and sales

Business Impact:

  • 2x faster prescription fulfillment, reducing wait times and improving patient experience
  • 27% reduction in stock-out incidents through real-time alerts and inventory visibility
  • 81% reduction in manual errors, thanks to automation and real-time dashboards
  • Streamlined doctor-pharmacy coordination, leading to fewer clarifications and faster dispensing

Integration Is Key

A mobile-first sales app in healthcare is as strong as the ecosystem it fits into. Mantra Labs ensures seamless integration with:

  • CRM systems for lead and pipeline tracking
  • HRMS for leave, attendance, and performance sync
  • LMS to deliver ongoing training
  • Product Catalogs to support detailing and onboarding

Ready to Empower Your Sales Teams?

From lead capture to conversion, Mantra Labs helps you automate, streamline, and accelerate every step of the sales journey. 

Whether you’re managing field agents, handling complex product configurations, or tracking customer interactions — we bring the tech & domain expertise to cut manual effort and boost productivity.

Let’s simplify your sales workflows. Book a quick call.

Further Reading: How Smarter Sales Apps Are Reinventing the Frontlines of Insurance Distribution

Cancel

Knowledge thats worth delivered in your inbox

Loading More Posts ...
Go Top
ml floating chatbot