health-care-ai-ebook

OSP

7 Healthcare
Industries Ready

2022to be Disrupted by AI

Index 1
2
01 Introduction 4
02 AI in Medical Diagnosis 6
03 AI in Medical Billing 8
04 AI in Pharma 10
05 AI in Medical Imaging 12
06 AI in IoT 14
07 AI in Pathology
08 AI in Radiology

Introduction

The achievements of AI by 2022 may resemble a futuristic science fiction novel,
but AI is rapidly reshaping our present, and making these fictional ideas into
reality.

In this eBook, we have identified seven healthcare sub-industries that will see a
great impact and massive transformation in the coming years. Their current
challenges, an overview of AI-based solution workflow process, the modules,
interesting use cases, and finally, the benefits are discussed in detail.

Our humble effort is to examine the progress and adoption of AI across different
healthcare sub-industries, the challenges and promise of AI in healthcare domain,
and the avenues to redefine healthcare in the coming years.

1 www.osplabs.com OSP

Medical
Diagnosis

Challenges

Lack of General Traditional Focus Low Complications Minimal Clinical Financial
Connectivity of Testing Interaction Constraints
Field Professionals Mechanism

Process

EHR System Algorithms

Lab Data User Interface Expert System Shell Symptom-Disease Equation Analysis Visual Analytics
Knowledge Proactive Alerts
Physiological Database Model-based Logic
Monitoring
Real-time Pattern
Detection

AI Inference Engine

Physician’s Notes

Solutions

Digital Imaging Cloud-based Platform Automated Diagnosis

AI Lab Testing Image Analysis Predictive Analytics
2 www.osplabs.com
OSP

Use Cases

ai in medical diagnosis helps to
detect rare diseases

clinical decision making can
be enhanced with ai in medical
diagnosis solutions

ai in medical diagnosis can help
to detect skin cancer

ai in medical diagnosis has
the potential to screen for
tumors

Benefits Rare Object Long Distance
Identification Association
Tissue Phonemics
toward Prevention www.osplabs.com OSP
3

Medical
Billing

Challenges

Complex Higher Workforce Unprecedented Tedious High Cost Inaccurate
Procedures Requirement Workload Rectification Implications Coding

Process

EHR Encoder & CAC Processing
Handwritten Notes
ICD 9/ICD 10
CODES

Coder Input Coding & Billling
& QA Review Details Sent to Client

Labs Orders/Results Billing System

Other Documents

Solutions

Custom Billing Modules Advanced Reporting Billing CRM Management

Payment Processing Claim Review System Clinical Documentation
4 www.osplabs.com
OSP

Use Cases

ai can simplify medical billing
with computer assisted coding
(cac)

advanced text analytics
structures medical billing data

ai in billing can easily predict
potential claim denials

ai can curb healthcare
frauds with accurate
analytics

Benefits Data Anomaly AI-based Workflow
Detection Optimization
Computer Assisted
Coding www.osplabs.com OSP

5

Pharma

Challenges

Shortage of Growing Demand Affordable Increasing Lower Higher Patient
Pharmacists for Prescriptions Healthcare Operating Costs Reimbursements Expectation
Act Demands

Process

Site Registry Hypothesis Deep Learning Ethicacy Scores Drug Validation
Generation Target ID Engine Adverse Effects Leads
EMR EHR Tissue-specific Effects
Drug & Disease Diseases Targeted Bioavailability
Claims Database Molecules Synthetic Scalability

Clinical Deep Learning
Trials Small Molecules
Patent Generation Engine

Solutions

Automated Dispensing Holistic Caregiving Strategies Real-time Data Capturing

Predictive Analysis Solutions Intelligent Analysis Algorithms Medical Augmentation
6 www.osplabs.com
OSP

Use Cases

ai in pharma helps in risk-based
monitoring (rbm)

ai in pharma can help in drug
target identification and
validation

phenotypic drug discovery is
made possible with ai in
pharma

ai in pharma can help for
polypharmacology
discovery

Benefits Predictive Treatment Neural Network Solutions
Solution for Pharmaceutical Processes
AI-based Pharma
Drug Discovery www.osplabs.com OSP

7

Medical
Imaging

Challenges

Disorganized Increasing Reduced Profits and Exclusive Rise in Increased
Data Backlogs Reimbursements Work Profile Competition Patient Demands

Process

Feature Extraction Biomarker Identific ation
Feature Selection
Clinical Images Pr e -Pr oc e s s in g Feature Classification Data & Code
Genomic Data
Feature Map Extraction Statistics & Protocols
Hyper Parameter Optimization
Result
Biomarker Validation

Solutions

AI Software Algorithms Real-time Medical Imaging Image Analysis

Predictive Analysis Solutions Intelligent Algorithms for Image Analysis Data Mining Techniques
8 www.osplabs.com
OSP

Use Cases

ai in medical imaging help to
detect bone fractures

ai in medical imaging
identify cardiovascular
abnormalities

ai in medical imaging aid in the
diagnosis of neurological
diseases

ai in medical imaging has
the potential to screen for
tumors

Benefits Cloud-based Whole AI-based Lung Nodule
Slide Imaging Platform Detection
Intelligent Imaging
Analytics www.osplabs.com OSP

9

Internet
of thing(IoT)

Challenges

Higher Manual Unstructured Low Quality Low Operational Weak Risk
Costs Processes Data Services Efficiency Analysis

Process

Data Source Data Catalogue Data Preparation Web
Apps Event Hub Embedded Analysis Mobile
Data Management Bots
Sensors SQL Data Data Visualization
Warehouse
Machine Learning
Model

Solutions

Easy to Integrate Sensors Device Management IoT Platforms

Edge Processing Data Management Network Management and Support
10 www.osplabs.com
OSP

Use Cases

ai iot solutions revolutionize
medical imaging

ai with iot can transform care
homes with home automation

ai in iot can redefine the
sports biomechanics

artificial intelligence can
enhance fitness tracking
devices

Benefits Autonomous Data
Intelligence Monitoring
Predictive
Analytics www.osplabs.com OSP
11

Pathology

Challenges

Lab Testing Lack of Labeled Complicated Low Clinical Financial Conventional
Outsourced Data Testing Process Interaction Constraints Procedures

Process

Whole Slide Tissue Patch-based CNN-based Feature Area Feature Generic Sub-type
Image Database Database Extraction Morphology Detection Identification

Structure Classification Machine Learning Result Output
Texture Feature Classifiers
Intensity
Parts Counting

Segmentation

Solutions

Process Automation Image Analysis Predictive Analytics

Rare Object Identification Morphology-based Segmentation Digital Whole Slide Imaging (WSI)
12 www.osplabs.com
OSP

Use Cases

tissue phenomics made possible
with ai in pathology

ai in pathology can help in
whole slide imaging

ai helps to enhance diabetes
retinopathy detection

ai-driven digital pathology
can help detect breast
cancers

Benefits Tissue Analysis Tumor Detection
www.osplabs.com
Computer-assisted OSP
Diagnosis

13

Radiology

Challenges

Unstructured Appointment Declining Lack of Clinical Increased Higher Patient
Data Backlogs Reimbursements Involvement Competition Expectation

Process

Automated Segmentation Diagnostic
Acquisition Detection Inference

Patient Medical Dose Post Processing Quantification Reporting Result
Record Appointment Reduction Registration Communication
Decision Making
Scan time
Reduction

Acquisition

Solutions

Data Mining Image Processing Image Analysis

Deep Learning Platforms Image Texture Analysis Algorithms Data Augmentation
14 www.osplabs.com
OSP

Use Cases

ai can detect possibility of
breast cancer from a
mammogram

ai can find abnormalities in
chest x-rays

machine learning algorithms
can identify and grade
ultrasound images

ai can solve challenges of
scoliosis imaging

Benefits

Automated Diagnostic Intelligent Cardiovascular AI-based Lung Nodule
Imaging Imaging Detection

15 www.osplabs.com OSP

We are a leading software development company aiming to empower, and
inspire the world with next-gen solutions. We help in simplifing every step of

the development process, from system architecture design to quality
delivery. Our intelligent processes enable quick deployment of

enterprise-grade solutions against the toughest, and most complex
challenges.

We are re-imagining how technology can empower
Healthcare, AI, Analytics, and Financial organizations to build solutions for

every day use in business applications.
With 10+ years of experience, and 200+ customers worldwide, we're

leveraging technology to build the future today.

www.osplabs.com

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