digital transformation trends in healthcare-industry-training-ppt.pptx

Digital transformation in healthcare refers to the integration of digital technologies into various aspects of healthcare delivery to improve efficiency, accessibility, and quality of care. This transformation encompasses a wide range of technologies, including electronic health records (EHRs), telemedicine, wearable devices, artificial intelligence (AI), big data analytics, and more.

1. Healthcare Digital Trends : Reshaping the healthcare \ 1 1 ·•oto l l O O OllOOJO \1n11. 1.o t 01 101 \\o'\l , O 1.1"1.0;t4'.1 1 \. ,.,_. .. .. 1 (I : Artificial Intelligence Virtual Reality • Medical loT Robotics

2. Healthcare Industry Digital Trend - Artificial Intelligence Artificial Intelligence (Al) in healthcare uses machinery to analyze an d ac t o n medical data , usuall y t o predic t a particular outcome One of the significant use cases of Al in healthcare is using Machine L earning (M L ) and other cognitive disciplines for medical diagnosis Al helps medical providers deliver more accurate diagnosis and treatment plans It makes it morepredictive and proactive by analy z ing big data to develop improved preventive care recommendations for patients It is considered a powerful tool in global public health for combating pandemics and epidemics

3. Artificial Intelligence in Healthcare - Impact ' ' , ' ' - o ' 6 ' ' , ' ' - o ' 6 ' - ' ' ' - , 6 ' 6 More Precise Analytics Monitoring health through wearables and persona l devices _, Bringing intelligenc e to medical devices an d machines Expa nding access t o care in under s . erved Re ducing burde n of maintaining electronic health records regions _,

4. Artificial Intelligence in Healthcare - Market Size The artificia l intelligenc e in healthcar e market is projecte d t o gro w fro m $6.9 billio n i n 202 1 t o $67.4 billio n by 2027 . I t i s expected t o gro w a t a CAG R o f 46.2% fro m 202 1 t o 2027 Influ x o f complex healthcare datasets , growin g nee d t o cut healthcar e cos t s , rising number of collaborations among differen t domains i n healthcare industry, an d th e surging need fo r improve d healthcare services ar e th e key factors fuelin g th e growt h o f A l market in healthcare Source : https://www.marketsandmarkets.com/Market-Reports/artificial--intelligence-healthcare-market-54679303.html

5. Artificial Intelligence in Healthcare - Pros and Cons F os t ers healthcar e accessibility ,l Aid s i n earl y detectio n o f diseases Y an d risks Save s tim e an d cost Augment s human abilities Possibilit y o f errors Training complications L ac k o f persona l touch or involvement

6. Healthcare Industry Digital Trend - Virtual Reality Virtual reality (VR) in healthcare is the technologythat allows the health officials to simulate a situation or an experience of interest using a VR headset within an interactive but computer-generatedenvironment f In healthcare, virtual reality can transport you inside the human body to view and access areas otherwise impossible to reach Virtual reality is used in multiple areas of healthcare like medicaltraining for both doctors and students, patient treatment, medicalmarketing, & educating people about a disease, process, or medical condition

7. Virtual Reality in Healthcare Industry- Key Applications Othe r Technique s lik e Dentistr y etc Medical E ducation • • • • Huma n Simulatio n Techniques Virtua l Rea lity i n Surgery Physica l F itness & Therapy • • • Virtual Rea lity in Diagnostics Mental Illnes s Treatment Pai n Management

8. Virtual Reality in Healthcare Industry- Market Size I n 2020 , th e globa l healthcar e V R market was estimate d $336 . 9 million. I t i s projecte d t o gro w a t an average CAGR of 45.5% and reach $2.2 billion by 2024 An Accenture study shows 82% of healthcare professional s agre e tha t V R creates a convenient wa y of accessing and learning information for medical students an d practicin g healthcar e professionals The agency als o reports tha t 62°/ o o f patient s would welcome VR healthcare services as an alternative to traditional healthcare Source: htt p s: // w w w . s 1 s o 1 t. co m t v ir tua ea lit y / hea1 thcare

9. Virtual Reality in Healthcare Industry- Pros and Cons Detailed View Useful in Multiple Areas Engaging Experience 9 High Cost Pros I Cons No Real data on Effectiveness - Sophisticated Technological Requirements

10. Healthcare Industry Digital Trend - Medical loT Medical l o T , sometimes referred t o as healthcare l o T , refers to a growing number of lo T uses in the medicalindustry This technology demands a wide range of lo T devices and application s specifically designe d fo r healthcare needs and settings lik e sensors an d apps fo r remote healthcare mon it o ri ng , telemedicin e consultation, an d delivery Medical lo T also relies on artificial intelligence and machine learning technology to support life-saving improvements in traditional medical devices

11. Medical lo T - Why? It - " Medical loT helps improve patient outcomes through real­ tim e mon it o ri ng , advance d d i agnos ti cs , robotics su r ge r y , e t c . I t i s importan t i n increasin g th e reach o f healthcare . It I reduces the need for hospital visits through the use of telemed i cine t echno l og y an d othe r related technological advancements I t offer s ne w opportunitie s fo r healthcar e providers to improve patient care and manage the inherent complexity of the healthcare processes through improved automation , sa f e t y , an d othe r technologica l gains

12. Medical loT - Applications in Healthcare Industry Ingestible Sensors Remot e Patien t Monitoring Pa r k i n son ' s Diseas e Monitoring Heart-rate Monitoring

13. Medical lo T - Market Size The global lo Tin healthcare market size is expected to experience significant growth reach of $446.52 billionby 2028 at an astounding CAGRof25.9%between202 1 an d 2028 The market growth of lo Tin healthcare is driven by factors like- Growing focus on acti ve patient engage me nt and patient-centric care Growth of high-speed net w or k technologies for loT connectivit y Surging need for the adoption of cost-control measures in the healthcare industry Sou r ce : https: // www .globenews v .tre.comlne w s-release / 2021 / 10/12/2312160 / / en / lnternet-of.things.-lo T -in-Healthcare-l ,1 arket- W orth-US0-4-4f,-.52-Billion-at-25- GR-b y -202W wi ng-to-Presence-0f-Large-Population-in-Asia-Pacific.html

14. Medical lo T - Pro s and Cons Pros Transparency Cost - savings Compliance Cons ) Security and Privacy Dependenc e o n Technology N o unifie d lo T Protocols

15. Healthcare Industry Digital Trend - Robotics e 1> In healthcare, robotics are transforming the way surgeries are performed They help healthcare providers freeup their busy slots and engage with patients e 1> The first robot in the medical fieldwhich offered surgical assistance via robotic arm technologie s wa s develope d i n th e 1980s R obotics in medical science enables efficientprocesses, improved levels of patient care, and a safe environment for bothhealth workers and patients Robots with Al-enabled medicine identifier software reduce the time to identify, match, and distribute medicine to patients

16. Robotics in Healthcare Industry - Cobots A Co bots sharea workspace with humans and make the automation process more accessible than ever for businesses of all size l Cobots are collaborative robots that are safe, cost-effective , an d flexibl e t o deplo y l I> Cobots are making automation easier even for small an d mid-sized companies worldwide A robot performs atask autonomously without human control, whereas a I> co bot is an artificially intelligent robot that performs tasksin collaboration with human workers

17. Robots and Cobots in Healthcare Industry- Application Prescription Dispensing ( 8 i>, •...,.(, ,, ,_.,v,,il' Therapeutic Massage Medical Device Packaging ,,, . . .. .. ,,, ,! ,, \ . , , ) La b Automation .... . . .. . . ,,.

18. Robotics in Healthcare Industry - Pros and Cons ► Spee d an d Accuracy ► Reduce d Burden o n Surgeon ► Smoot h Surgica l Procedures Unexpected Complications • Trainin g Requirement s • Expensive ♦

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