Journal of Hospital Administration

The Indian healthcare industry has grown dramatically in the last few years, particularly   during the Covid-19. The extraordinary participation of the Government, as well as   advancements in technology and the digitalization of healthcare services. In the Indian healthcare sector, a number of trends have emerged that are employing cutting-edge technology  to simplify and improve the patient care experience.

Abstract A health information management system (HIMS) has a set of components (technical, organizational, behavioral) and procedures “organized to generate information to improve health management decisions at all levels of the health system” and also for decision-making process in hospital. Engaging clinicians and other hospital personnel, including nurses, as wellas providing strong institutional support, is critical to the successful implementation and operation of a HIMS in hospitals. Aim: To assess the acceptance of a hospital information system to improve healthcare quality in a teaching hospital of Visakhapatnam city. Methodology: An Institution-based mixed-method study both quantitative and qualitative data collection methods was conducted at Teaching Hospital of Visakhapatnam city for duration of 3 months. A total sample of 80 health care workers (HCWs) working in Teaching Hospital, who were managing administrative hospital staff, heading sub-process, departments, and nurses were enrolled in the present study. Results: Most (38.40%) of our participants belonged to the age group of 25–35 years. The majority (45.60%) of them were females. The majority (69.70%) of them had bachelor’s degrees and 65% had work experience from 0-5 years.

The upcoming Industrial transformation will be distinguished by the dominion of Artificial    Intelligence (AI). The domain of Medical Jurisprudenceispivotal to criminal inquiries. AI  has the capability to prevail over countless of the constraints linked with the conventional  procedures of regulating post-mortem examinations & framing inferences. AI will be pivotal   in framing various inferences of medico-legal significance in Medical juridical approaches such  as toxicological examination, collection of various specimens of medico-legal significance from cavities, recognition of pathologies in various organs, recognition of various stains, recognition  of a weapon of offence, post-mortem interval calculations & so on. AI can also be incorporated  into presently used investigation & examination approaches to speed up & boost the precision  of the procedure as a whole. AI will play a pivotal role in Medical Jurisprudence in future.

Background: Cashless medical claim denials by Third-Party Administrators (TPAs) can lead   to financial burdens and dissatisfaction among patients. Objective: To analyze TPA rejections at a tertiary care hospital, identify factors contributing  to cashless denials, and suggest measures to enhance claim approval efficiency and patient  satisfaction. Methods: The data for this study was collected through a retrospective approach from a  period of March 2023 to December 2023. The dataset included information related to Mediclaim claim rejections, patient details, comments from TPAs, discharge notes, and hospital remarks. Results: The study revealed a 25% cashless denial rate, primarily due to inadequate  documentation,40% followed by TPA response time delays and claim type discrepancies and (35%). Disease categories with highest denial rates were identified.   Conclusion: The pivotal role played by Third-Party Administrators (TPAs) in facilitating the  smooth disbursement of mediclaims and contributing significantly to the hospital's revenue  stream was evident. However, the study revealed that despite the critical role of TPAs, a   considerable number of mediclaim rejections were occurring, leading to conflicts between the  hospital, patients, and their families.