Tata 1mg Editorial Policy
Our experts strive to deliver precise, authoritative and trustworthy content
In our mission to make healthcare accessible and understandable, we focus on delivering trusted and evidence-based healthcare information that is comprehensive and well-researched. Our team consists of medical experts, qualified doctors, pharmacists, and editors who have extensive experience and expertise in scientific research and medical writing. The medicine and health content that we publish is curated through a well-structured editorial and review process which includes in-depth review by our Clinical Specialist Review Board.
Editorial Workflow
Guiding Framework for Content Generation
At Tata 1mg, we follow a strong code of conduct for our medical and health content generation to ensure that the information is valid and trustworthy. Our team ensures that Tata 1mg’s content upholds the highest standard of medical integrity using the following guidelines:
Doctors of Tata 1mg
Medicine Experts
At Tata 1mg, we believe in delivering the best and the most reliable content. To ensure this, every individual goes through a rigorous screening process. This aids in bringing together a diverse team where each specialist reviews or writes medical content only in their field of expertise.
Diagnostic Experts
At Tata 1mg, our constant effort is to provide you with error-free lab test experience. To make this possible, we have on board expert and experienced pathologists and microbiologists. who ensure accurate diagnostic, prognostic and predictive testing services in a timely manner.
Clinical Specialist Review Board
Medicine Experts
The members of Tata 1mg’s Clinical Specialist Review Board are recognized experts in the healthcare domain from leading academic and medical institutions of the country. They evaluate the content from an expert‘s point of view to ensure that it is scientifically accurate. The board ensures that we consistently improve our standards of medical and healthcare data.
Research Papers and Publications
- Attended robotic process automation of prescriptions’ digitizationDocument digitization has important industrial applications and automation of this process can unlock significant business value, especially when documents are in the form of image files that are not directly machine readable. A medical prescription contains information about a patient’s health status and is an important tool for prevention of drug abuse and patient safety.
- Artificial Intelligence-Based Differential Diagnosis: Development and Validation of a Probabilistic Model to Address Lack of Large-Scale Clinical Datasets.Machine-learning or deep-learning algorithms for clinical diagnosis are inherently dependent on the availability of large-scale clinical datasets. Lack of such datasets and inherent problems such as overfitting often necessitate the development of innovative solutions. Probabilistic modeling closely mimics the rationale behind clinical diagnosis and represents a unique solution.
- App-Based Diabetes Management Plan: An Analogy between Diabetes Awareness and Plan AdoptionA Government-led screening of Indian population mentions that 70% Indians have no clue that they have diabetes. This lack of awareness can act as a serving point for digital healthcare platforms to provide understandable and accessible self-care. This study was conducted to explore if diabetes awareness acts as a motivation to employ patient-centric diabetes management plans on digital healthcare platforms.
- Mobile Solutions to Tackle the Increasing TB Burden in IndiaIndia is among the top countries with the high prevalence of TB cases. The incidence of multidrug resistant tuberculosis (MDR-TB) and extremely drug resistant tuberculosis (XDR-TB) are increasing in the countries like India and as a result, there is a need to adopt and develop novel solutions. In India the prescription hand-off process is quite...
- Last Mile Delivery of Cold Chain Medicines – Challenges and RecommendationsCold chain medicines are those that require special temperature-controlled cold storage to maintain their quality and efficacy. Cold chain management is important to ensure that the right quality is maintained throughout the supply chain. There lies a variety of reasons why cold chain management continues to be the challenge in India like lack of the consolidated list of cold chain medicines, lack of...
- A Review on the Current Classification and Regulatory Provisions for Medicines in Drug & Cosmetic Act, in the light of Present Day ContextCurrent classification of medicines in India under Drug and Cosmetic Act into Schedule G, H, H1, X is outdated, evolved through patchwork over the years and needs to be thoroughly updated. The primary aim of the scheduling system is to ensure appropriate access to medicines while balancing public health and safety. India is experiencing a rapid transition with the rising burden of chronic...