Table of Contents

01  The Health Tech Monthly Roundup

02  Mantra announces its new office in the US

03  Why Digital Health Adoption is still low in India?

04  Chat GPT and Healthcare 

05  Transforming patient experiences with predictive healthcare

The Health Tech Monthly Roundup

A quick roundup of the month’s latest health tech activity, both in India and globally.

• HealthPlix, an Indian startup offering its in-house platform for doctors to help record patient data digitally, has raised $22 million.

The company plans to leverage 80% of its fresh funding to grow the doctor base and invest more in sales, product, and engineering teams, and in clinical decision support. 

• SigTuple has raised about $40.8 million in funding.

The fresh funding will be utilized to drive geographical expansion across key markets which include Southeast Asia, the Middle East, North Africa, North America, and Europe, and expand its product portfolio and support regulatory clearances.

• Reveal HealthTech closed $4 Million as part of a strategic funding round.

The Healthtech SaaS platform plans to use the investments to ramp up its operations and hiring and establish a wider customer base, and strengthen its technological capabilities. 

• Berlin-based health tech startup Doctorly closed a $10 million funding deal. 

The additional funding capital will be deployed to further accelerate its growth in the German market and build new features and functionality to reduce administrative costs and save time.

• Vital garnered $24.7 Million in funding to fuel expansion and support the rapid growth of its modern software.

The health tech firm will deploy the investment to advance its Artificial Intelligence-driven software for patients, hospitals, and health systems, with plans to further expand the team and launch new features aimed at enhancing clinical decision support, care coordination, and patient experience.

CX Trends in Healthcare

Read the blog, here.

Mantra announces its new office in the US

We at, Mantra Labs are pleased to announce that we now have an office in North Carolina, US. 

The new office will serve as a key center for our existing American clientele, while also introducing the full range of the company’s technological capabilities to the market. Mantra plans to attract and hire the city’s highly skilled talent in the coming months. 

What does the Digital & Connected Patient Experience of Tomorrow look like?

Read the blog, here.

Why Digital Health Adoption is still low in India?

The COVID-19 pandemic pushed people to embrace digital innovations in every aspect of life and especially healthcare, while also exposing supply chain inadequacies globally by placing a heavy strain on health institutions. During the pandemic, it became necessary for healthcare practitioners to digitize the patient experience; and two years later, it became an essential component of care delivery.

NATHEALTH, the largest organization of private healthcare players in India, and Arthur D Little (ADL) released a report, ‘Pathways to Scale Adoption of Digital Health in India’ that was based on a survey of 30 private healthcare providers. Here are some of the most significant findings from the report:

• Lower Adoption Rate across all operational use cases: Even though the benefits of digitalization are many, its adoption rate remains low among private healthcare providers. 93% of the respondents agreed that digitalization benefits the healthcare ecosystem. However, only 7% of the providers have adopted digitalization across all operational use cases. 80% used digital tools in the most common use case, i.e., to register customer data (demographic and clinical). 
• Urgent need for private healthcare players to adopt digitalization. While large private hospitals and diagnostic laboratory chains rank as the most digitally forward segments, scoring around 7 or 8, other private providers have a ‘Digital Health Adoption score of 5 or less (0 = no digital adoption and 10 = full digitalization), according to a “Digital Health Adoption Index,” developed for the report.
• Reluctance to go digital among small players due to high financial cost: At least 40% of respondents to ADL’s provider-side survey believed that the main barrier to the adoption of digital health was its high financial cost. Despite having the means, small players are hesitant to switch to digital.80% of the providers surveyed claimed to have the financial means to step up their digitization initiatives, but only 53% are either planning to or have already achieved end-to-end digitalization. The reluctance is to avoid regulatory scrutiny due to the increased transparency brought on by digitalization.

How to Win Customers through Smarter Form-filling?

Read the full blog, here.

Chat GPT in Healthcare 

Artificial Intelligent (AI) has been helping revolutionize not only the healthcare provider’s experiences but the patient’s experiences as well. We have seen many instances of AI being used in healthcare over the last few years. Healthcare providers are leveraging several AI innovations to boost operational capabilities and patient experiences. The latest addition to this is-Chat GPT which has been in the news for a while now. Chat GPT has the capability of generating human-like responses to a variety of queries, minimizing human effort and increasing productivity. OpenAI, the company that developed ChatGPT, recently unveiled Chat-GPT 4, an upgraded version of the same. One of the key features of GPT-4 is its ability to accept images and texts, both as inputs, and generate captions, classifications, and analyses. Users can share images with GPT-4 and receive responses according to the visuals. In addition, GPT-4 can handle much longer text compared to its predecessor, with the ability to use and evaluate over 25,000 words of text. 

Here are some of the use cases of Chat GPT in Healthcare:

Document Medical Records:

ChatGPT can be leveraged to generate automated summaries of patient interactions and medical histories, which can help streamline the medical recordkeeping process. Doctors and Clinicians can dictate notes and extract relevant information from patient records, such as lab results or imaging reports.

Translate real-time conversation between patients and providers: By accurately and quickly translating medical jargon, and technical terminologies, ChatGPT’s powerful language processing skills can help patients understand their diagnosis, available treatments, and prescription instructions.

Analyze Vast Amounts of Data:

ChatGPT can analyze vast amounts of medical literature and research papers to help healthcare professionals stay up-to-date on the latest developments and assist in making evidence-based decisions.

Educating Patients:

ChatGPT can help educate patients by providing instant information materials, ensuring patients understand their conditions and treatments and are better equipped to manage their health.

Remote patient monitoring: Remote patient monitoring (RPM) has been helping improve patient outcomes while reducing healthcare costs. ChatGPT can be used to monitor patients remotely by analyzing data from wearables, sensors, and other monitoring devices, providing real-time insights into a patient’s health status. ChatGPT can analyze this data and provide alerts to healthcare providers if a patient’s condition deteriorates or if there are other concerning trends. This can help healthcare providers intervene early and prevent hospitalizations or other complications.

Even though Chat GPT has numerous benefits like increase operational efficiency, reduce costs, and saving time. However, human intervention will always be required when it comes to delivering healthcare services as the health sector is heavily driven by trust and accuracy plays a key role across the entire healthcare value chain. 

State of Extended Reality in an Experience Economy

Read the report, here.

Transforming patient experiences with predictive healthcare 

Preventative medicine is all set to make a comeback as hospitals now have the tools required to collect, analyze and deliver solutions that map the trajectories of their patient’s health in a sustainable fashion.

Here are five ways in which hospitals can start delivering predictive health solutions to their customers via mobile telephony:

#1 Replace in-person visits with mobile engagement

The increasing acceptance of patients liaising with their doctors through mobile applications means that doctors can now mediate most in-person visits via mobile applications. This translates to greater convenience for both parties and facilitates a robust data collection platform.

#2 Leverage analytics

Predictive analytics is proving to be a big draw for hospitals as the average patient now has a digital footprint that provides ample information regarding the patient’s well-being if processed in the right fashion. 

#3 Implement advanced Tele-ICUs

Predictive algorithms, when deployed in tele-ICU settings can give doctors enough insight into patient vitals and alert doctors to signs of impending patient deterioration so they can act on time and save patients from slipping further. 

#4 Integrate wearables

There are several anecdotes from around the world as to how the Apple Watch’s state-of-the-art ECG feature helped save lives by alerting the wearer to slight anomalies in their homeostatic process. This can further be extended to patients with chronic diseases who can be equipped with wearable biosensors that collect data at regular intervals.

#5 Democratize Clinical Surveillance systems

Hospitals can also place comprehensive clinical surveillance systems at home for at-risk patients in their homes. 

For young hospital chains that still seek to differentiate themselves from older chains, digitizing their operations and making full use of their data and the commoditization of the smartphone can yield staggering results. Over time, they can even create personalized models for individual patients and deliver healthcare with greater success, the likes of which will be received with great fanfare from both customers and non-customers alike.

Read the full blog here