HealthNews
LNJP is the first government hospital with 2,000 beds to receive NAQS Certification
New Delhi – The Lok Nayak Jai Prakash Narayan Hospital became the first government hospital in the country to receive National Quality Assurance Standard (NQAS), certification, from the Union Health Ministry on Monday. The certification recognizes the performance of Delhi’s govt-run hospital in critical healthcare quality indicators such as patient safety, infection controls, clinical services, and hospital administration. The medical director of the hospital, Dr B L Chaudhary, praised the staff for their “collective commitment, teamwork, and dedication” displayed by the doctors, nurses and faculty, as well as security, PWD and administrative staff. The hospital authorities claim that LNJP Hospital received exceptionally high scores during the NQAS assessment. The hospital scored 99.4% for service delivery, 96.1% for patient rights, and 97.6% clinical services. It also scored 97% in the area of infection control, and 95.6% on quality management. The hospital scored 99.5% for patient privacy and dignity. It also recorded a score of 87.3% in terms of patient satisfaction.
The pharmacy scored 95.8% and the ICU 96.7%, while the haemodialysis center scored 97.9%. Officials stated that the certification is the result of many years of systemic changes and infrastructure improvements undertaken by the hospital. Implementation of strict infection control measures, scientific sanitisation methods, biomedical disposal protocols, and mandatory infection prevention training for healthcare staff were among the measures. The hospital introduced digital monitoring systems and patient feedback mechanisms. It also improved drug inventory management and had uninterrupted electricity and drinking water systems. The hospital authorities stated that the NQAS accreditation would also have financial benefits. NQAS certified hospitals can receive an additional 15% discount on standard package rates under the Ayushman Bharat-PradhanMantri Jan Arogya Yojana. LNJP Hospital should receive more than Rs 2 crore as an annual financial incentive. Officials stated that the certification strengthens public confidence in government healthcare institutions. It also demonstrates high-quality and patient-centric healthcare within India’s health system.
Published May 28, 2026 05:45 PM (IST)
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Blue Machines AI & Cartesia Partner Up to Offer India Resident Voice AI Solutions.
New Delhi, India: Blue Machines AI & Cartesia announced a strategic partnership to deliver India resident, low latency conversational Voice AI Solutions for Enterprises. Initial focus is on regulated sectors like banking, insurance, financial services (BFSI), and healthcare. The companies stated that the collaboration is aimed at addressing two key priorities as Indian enterprises transition from pilot projects to full scale deployment of conversational AI – natural multilingual voice experience and India-resident processing in line with regulatory requirements. In the partnership, enterprises can deploy intelligent voice agents that are cable of understanding and executing complex business workflows. They will also be able integrate existing enterprise systems with low latency, as well as respond in multiple languages. The solution combines advanced voice technologies with real-time orchestration to provide scalable and context-aware solutions.
According to the companies, India-resident data processing will help enterprises meet regulatory requirements for governance, auditability and compliance, especially in highly regulated industries. The solution is available in multiple Indian languages including Tamil, Telugu and Kannada. It allows for hyper-localised customer service, onboarding and collection. The platform supports the deployment of voice agents on telephony as well as digital platforms. It allows for real-time voice generation and intelligent workflow execution, which reduces response times and maintains consistent voice quality even during high-volume interaction. Enterprises have the choice of either on-premises or cloud-hosted implementations. Blue Machines AI Voice AI Stack manages call lifecycles from beginning to end, including integration with CRM systems, banking software, internal Is and real-time streaming audio. Cartesia’s conversational AI model is built for Indian language speech processing, hyper-realistic voice production, and streaming responses to ensure a smooth flow of conversation, even when interrupted. Cartesia Co-Founder Arjun Desai said that enterprises want voice experiences which are natural and fast without compromising control or reliability. He said that Cartesia powers millions of voice interactions daily for global customers, and is strengthening their commitment to the Indian Market through its new Bengaluru Office. Nirmit parikh, CEO and founder of Blue Machines AI said that regional language support and compliance are essential for Indian companies. He said that the partnership allows organisations to deploy India resident, multilingual Voice AI Workflows with the performance and governance required in regulated industry. The companies have announced plans to add support for more Indian languages, create new enterprise workflows and work together on model improvements in order to accelerate deployment and drive measurable business results for enterprises that adopt Voice AI.
Published on Feb 20, 2026, at 5:17 PM (IST)
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Financial strain on Bihar hospitals as they wait for Ayushman payments for months
Patna – Hospitals in Bihar empanelled with the Ayushman scheme have been waiting for reimbursement for over four months. This has caused financial stress to several charitable and private institutions that provide cashless treatment for poor patients. According to the rules of the Ayushman Bharat scheme, hospitals must clear their bills within 15 days when no questions are raised. Hospital administrators claimed that payment amounts in the millions of rupees are still pending, and have been since January. This has severely affected routine operations.
A number of hospitals have said that delayed reimbursements are making it hard to manage expenses such as staff salaries, medicine, equipment and other operational costs. Mahavir Cancer Hospital Director Dr Biswajit Snayal stated that the hospital owed more than 20 crore rupees, although recent payments have been made. Mahavir Vatsalya Aspatal – another hospital run by Mahavir Mandir Nayas Samiti, dedicated to child health care – is also experiencing the problem. The director of the hospital, Dr Rajeev Rajan Prasad, said that claims dating back to last January totaling nearly Rs 4 crore were still outstanding.
Ayushman Bharat (the government’s flagship healthcare insurance scheme) allows eligible beneficiaries cashless treatment in hospitals that are accredited. It is a big help to those with lower incomes. Rajeev stated that strengthening such schemes and timely payments will help to treat the poor. Many private hospitals in Patna have also complained about long delays in clearing bills, although many refused to name them.
Ruban Medical Center claimed that the hospital’s dues, which totaled around Rs 3 crore, had been pending for almost five months. Amit Kumar, the hospital’s public relations officer, said that the hospital had not yet received the payment.
Buddha Cancer Centre said that bills totaling nearly Rs 3 crore for around 1,100 cases awaited clearance. Director Dr Ridu Kumar said that bills for 1,100 cases were pending. Some of them have been awaiting clearance since January. Shashank Sinha, chief executive officer and special secretary of the Bihar Ayushman Bharat, acknowledged that there have been delays with bill clearances since March. He said that the process will resume in the next few weeks. Ayushman Bharat has been empanelled in 1,298 Bihar hospitals, 434 government and 864 privately owned.
Published on May 14, 2026, at 7:51 AM (IST)
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India releases MANAS 1: AI trained using 60,000 hours worth of brainwave recordings aims to detect disorders as early as possible
New Delhi : Artificial intelligence could soon help doctors “read the brain” before disease is visible. A team of Indian scientists has developed MANAS 1, the Brain Language Foundation Model based on recordings of over 25,000 brainwaves. This model is designed to enable earlier detection of neurological disorders and psychiatric disorders. The model, developed by Intellihealth, led by Dr Puneet agarwal (former Professor at All India Institutes of Medical Sciences) and his team and launched by Hugging Face during an AI Summit, was created by Intellihealth. The Indian AI Mission of Ministry of Electronics and Information Technology funded the project with computational resources. MANAS 1 has been trained, unlike other AI systems to interpret EEG (electrical activity) signals. The 400 million parameters it contains are described by its creators as a foundation platform for developing AI tools that target specific diseases. The MANAS 1 model, which is similar to ChatGPT in concept, was developed by Dr Agarwal to help “understand the language of the brain.” This foundation model learns to interpret brain signals from large-scale EEG datasets that can’t be fully decoded using traditional tests like MRI. He said that the model provides a foundation on which AI tools to treat epilepsy and dementia, as well as other disorders, can be later built. It also helps researchers understand aspects of brain function, which are still poorly understood. The public health argument revolves around early access. India is facing a neurology and psychiatrist shortage, especially outside of major cities. The brain disorders are detected late and can lead to increased disability as well as long-term costs. Developers say that tools developed on MANAS 1 can assist doctors in Ayushman Arogya Mandirs and community health centres, as well as district hospitals and district hospitals with preliminary screening and timely referral. Before clinical deployment, any AI model that is disease-specific and derived from this platform will need to be proved by regulatory agencies. If such systems are validated at a scale, they could help reduce gs between symptom onsets and diagnoses — an important factor in conditions such epilepsy or dementia. MANAS 2 is the next-generation system, and it’s expected to be released in the coming week. MANAS 1 is a first step in the advancement of artificial intelligence into neuroscience. It aims to translate the electrical language spoken by the brain to the screen. This will have implications for research and diagnosis, as well as access to healthcare.
Published on Feb 23, 2026, at 2:35 PM (IST)
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Medanta reports Rs1,195 crores in Q4 FY26; net profit jumps 40%.
New Delhi, Global Health Limited, which operates the corporate hospital network, Medanta, reported a 25.3% year-on year (YoY), increase in total income of Rs 1,195 crores for the quarter ending March this year. Ebitda for this period increased by 17.4% to Rs.290 crore and net profit jumped by 39.7% to reach Rs.141 crore as compared to the Rs.101 crore of Q4 FY25. Medanta has added 86 additional beds to its cacity in Q4 – 32 at Patna and 44 in Noida. The company’s average revenue per occupied beds (ARPOB) rose by 4.8 percent YoY to Rs. 66,687. The facility now has 382 beds with 98 ICU beds as well as 14 operating theatres.
The revenue from international patients was Rs. 67 crore, an increase by 22 per cent year-over-year, but a slight decline in the following months due to flight delays during the West Asia conflict. Bed occupancy was at 62.7%, and out-patients increased by 18.7%.
Published on May 15, 2026, at 2:41 PM (IST)
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It is not the technology that will differentiate organisations, but rather superior decision-making. It’s the standard. Many large pharmaceutical companies and medical device manufacturers have already digitalised core functions. From CRM platforms to AI, these companies are far ahead of the curve. Prabha sinha, ZS Co-founder observes that the real shift is now not adding more technology, but rather using it more intelligently.
This shift from infrastructure to impact is reshing the way life sciences organizations think, act and compete. Four engines of impact: From Projects to digital assets
Sinha described four “engines” that are driving the shift away from traditional projects and towards scalable digital impact. “One of the things that you can do with digital is to shift from project teams doing work, to digital assets doing work,” said Sinha.
Before, it could take up to an entire year for major business decisions such as restructuring the sales force in order to launch a new product. Ten years ago, it took six months to research and six more months to implement. The cycle lasted about a full year. Sinha noted. First, the decision-making cycle has been compressed significantly. “Decision-making can either be accelerated, or planning can be merged with execution,” he said. In place of quarterly planning cycles it is now done on the fly. “It’s a continuous rather than discrete process,” said he. First, digital tools help break down silos. Sinha explained that traditionally, in large companies the departments of sales, service and marketing were quite segregated. Now, digital is breaking down these vertical barriers. It was also important to him that centralised be used. He said: “All of this can only be achieved through centralising marketing and sales – the fourth component.” Sinha, who spoke about AI and for customer engagement, said that the top 100 pharmaceutical companies in the US are all doing it. The differences are in the sophistication. But “in terms of helping salespeople and marketers to determine how to allocate resources, this is a universal AI driven activity now.” Around 70% of ZS’s global workforce are based in India. Much of the intellectual properties behind ZAIDYN – the company’s AI-powered platform – is also developed here. Sinha noted that India was not only a cost center, but also a talent hub. Indian teams were increasingly client-facing, and the innovation process is centered in India. “Much innovation… Many of the algorithm programmes are developed in India.” Sinha said that there is a lack of automated bots being used by companies with customers and physicians. In almost all cases, a human is checking what is hpening. “So, I think that trust is best established through people right now.”
Not more technology, but better decisions will drive healthcare’s next le.
Healthcare data volumes continue to grow ridly – from consumer searches and physician queries to millions of sales interactions per year within a single large pharmaceutical company. Sinha explained that the value of understanding patterns between similar doctors, similar decision-makers, and similar hospitals will come through understanding. He claimed that better informational symmetry could reduce wasted products and improve alignment between product needs and patient requirements. Sinha stated, “Three year implementation cycles are not viable.” The technology is changing faster than the companies can implement it.
Platforms, such as ZAIDYN enable organisations to “be up-and-running within weeks, rather than years,” and to connect evolving tools, without having to rebuild their infrastructure with each new technological advancement. The Bottom Line
Healthcare’s next breakthrough will not be achieved by incrementally adopting technology, Sinha believes. “Competitive differentiating will come from superior intelligence in decision making, not just technology deployment,” said Sinha. The technology may provide the tools but the advantage will go to the organisations who transform data into smarter and faster decisions in the healthcare ecosystem.
Published On February 26, 2026 at 3:07 PM (IST)
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Max Healthcare plans to build 712-bed facility for Rs 1,400 cr in Lucknow. When announcing the company’s fourth-quarter, FY26 results, Max Healthcare said that “the board approved an expenditure of Rs 1,400 crore to construct a 712 bed greenfield hospital in Shaheed Path, Lucknow.” The facility is expected to be completed in FY30, and Max hopes to meet the increasing demand for healthcare in Uttar Pradesh. Max Healthcare, whose market capitalisation surpassed Rs 1 lakh crore last year, is expanding its operations into non-metro areas. As part of its growth strategy, the company will be focusing on both brownfield and greenfield projects to reach its target of 10,000 beds in FY2030.
