## 1 Introduction
The overview of various information security approaches is schematically shown in Figure 1.  
Reversible data hiding (RDH) is an emerging area in the field of data hiding. In a conventional data hiding approach, the cover medium will be permanently altered during the data hiding process. RDH is a way of hiding data in some cover medium by changing the actual content. Still, later, the original content can be losslessly recovered during the  
Figure 1: Approaches to information security: an overview. extraction of confidential information. The reversible data hiding schemes are widely used in cloud computing and medical image transmission [16; 17]. A few applications are listed below:  
* Common people widely use cloud services due to their convenience and availability. The cloud service provider (CSP) cannot make any permanent changes that they have received from the user. Therefore, RDH schemes can be utilized by the CSP for embedding metadata or watermark on the users' data. The CSP can restore the image whenever the user requests specific data [18; 19]. * Watermarking schemes are popular in medical image transmission to ensure authenticity on the receiver side. Conventional watermarking is not suited for watermarking medical images since it alters the medical image permanently. Alterations in the medical image due to watermarking may adversely affect the diagnosis, especially when using some computer-aided diagnosis tools. The RDH schemes can be used to embed the watermark in the medical images, which will help to ensure authenticity at the receiver side, and the original image can be restored for further diagnosis [20; 21; 22]. * The transmission of medical images and clinical reports from one hospital to another is prevalent due to the increase in the population and advancements in telemedicine. Handling medical images and related clinical descriptions is challenging in the hospital environment since one-to-one correspondence should be maintained. RDH schemes can be utilized in this area to transmit clinical reports and the respective medical images. An efficient RDH scheme can be used to embed the clinical information in the medical image before storing or sharing it. Further, during diagnosis, the clinical reports can be extracted, and the original image can be recovered [23; 24]. This research focuses on the design and implementation of a new RDH scheme suited for the healthcare domain, especially for the transmission of clinical reports and medical images. The overview of a RDH scheme in a medical image transmission is shown in Figure 2. On the receiver side, firstly, the received medical image will be decrypted. Further, the hidden clinical reports will be extracted while recovering the original medical image. The extracted clinical report and the restored medical image will be used for further diagnosis or treatment. An RDH method to use in this domain should have the following properties:  
1. High embedding capacity to ensure that lengthy clinical reports can be embedded in the medical image. Figure 2: Overview of RDH scheme to embed clinical reports in medical images. 2. The RDH scheme in this domain must ensure that the original image will be recovered without any loss of information. 3. The scheme should allow the error-free extraction of the clinical reports from the medical image. 4. The RDH scheme should provide real-time performance to ensure the availability of medical images and reports in time during diagnosis. We propose a new RDH scheme in this manuscript by considering all the key objectives of RDH schemes in medical image transmission. The major contribution of the manuscripts are listed below: * We propose a novel bit plane compression-based RDH scheme. * The proposed scheme provides high embedding capacity without compromising image recovery and message extraction. * Elias gamma is a well-known variable-length encoding scheme in practice, and it is suited for encoding the run-length sequences during compression.