Personal Health Record Data Research Articles

The Use of Digital Personal Health Records (PHR) in Occupational Health.

The exact definition of a personal health record (PHR) is not clear, but it is generally defined as an electronic record of an individual's medical examination results and medication history that can be accurately tracked by the individual and family members. There are many opportunities to obtain personal PHR data in the field of occupational health, and the amount of information in a worker's PHR is enormous. It is necessary in this field to comprehensively integrate and accumulate not only information from medical examinations, but also records of the work environment and work records as personal health information.

Evaluating Ontology-Based PD Monitoring and Alerting in Personal Health Knowledge Graphs and Graph Neural Networks

In the realm of Parkinson’s Disease (PD) research, the integration of wearable sensor data with personal health records (PHR) has emerged as a pivotal avenue for patient alerting and monitoring. This study delves into the complex domain of PD patient care, with a specific emphasis on harnessing the potential of wearable sensors to capture, represent and semantically analyze crucial movement data and knowledge. The primary objective is to enhance the assessment of PD patients by establishing a robust foundation for personalized health insights through the development of Personal Health Knowledge Graphs (PHKGs) and the employment of personal health Graph Neural Networks (PHGNNs) that utilize PHKGs. The objective is to formalize the representation of related integrated data, unified sensor and PHR data in higher levels of abstraction, i.e., in a PHKG, to facilitate interoperability and support rule-based high-level event recognition such as patient’s missing dose or falling. This paper, extending our previous related work, presents the Wear4PDmove ontology in detail and evaluates the ontology within the development of an experimental PHKG. Furthermore, this paper focuses on the integration and evaluation of PHKG within the implementation of a Graph Neural Network (GNN). This work emphasizes the importance of integrating PD-related data for monitoring and alerting patients with appropriate notifications. These notifications offer health experts precise and timely information for the continuous evaluation of personal health-related events, ultimately contributing to enhanced patient care and well-informed medical decision-making. Finally, the paper concludes by proposing a novel approach for integrating personal health KGs and GNNs for PD monitoring and alerting solutions.

Certificateless Broadcast Encryption with Authorization Suitable for Storing Personal Health Records

Abstract Cloud medical treatment provides real-time data sharing in a cost-effective method, making it more practical to create, collect and manage vast amounts of personal health records (PHR) of patients. However, health information is considered highly sensitive. How to securely store and dynamically process massive patients’ PHR data in a public cloud environment has become one of the most important challenges. Therefore, we introduce a novel solution to the problems of privacy exposure, data security and flexible access of storage modules in medical systems. In this paper, we present a privacy-preserving certificateless broadcast encryption with authorization for the PHR system, which is the best approach to effectively solve the above problems and avoid key escrow. In our work, users (patients) outsource their encrypted data to the cloud server and reallocate data accessing rights of recipients through an authorization set, sharing with a group of authorized receivers (doctors) in a secure and efficient manner. In addition, it is shown to be capable of achieving both plaintext confidentiality and receiver anonymity under the random oracle model. Moreover, the experimental evaluation shows that the proposed scheme enjoys low computational and communication overhead, indicating the feasibility and practicality of the scheme.

Development of a data platform for monitoring personal health records in Japan: The Sustaining Health by Integrating Next-generation Ecosystems (SHINE) Study.

The Sustaining Health by Integrating Next-generation Ecosystems (SHINE) Study was developed as a data platform that incorporates personal health records (PHRs) into health-related data at the municipal level in Japan. This platform allows analyses of the associations between PHRs and future health statuses, and supports the production of evidence for developing preventive care interventions. Herein, we introduce the SHINE Study's profile and describe its use in preliminary analyses. The SHINE Study involves the collection of participants' health measurements and their addition to various health-related data from the Longevity Improvement & Fair Evidence (LIFE) Study. With cooperation from municipal governments, measurements can be acquired from persons enrolled in government-led long-term care prevention classes and health checkups who consent to participate in the SHINE Study. For preliminary analyses, we collected salivary test measurements, lifelog measurements, and gait measurements; these were linked with the LIFE Study's database. We analyzed the correlations between these measurements and the previous year's health care expenditures. We successfully linked PHR data of 33 participants for salivary test measurements, 44 participants for lifelog measurements, and 32 participants for gait measurements. Only mean torso speed in the gait measurements was significantly correlated with health care expenditures (r = -0.387, P = 0.029). The SHINE Study was developed as a data platform to collect and link PHRs with the LIFE Study's database. The analyses undertaken with this platform are expected to contribute to the development of preventive care tools and promote health in Japan.

BC-PC-Share: Blockchain-Based Patient-Centric Data Sharing Scheme for PHRs in Cloud Computing

Sharing of personal health records (PHR) in cloud computing is an essential functionality in the healthcare system. However, how to securely, efficiently and flexibly share PHRs data of the patient in a multi-receiver setting has not been well addressed. For instance, since the trust domain of the cloud server is not identical to the data owner or data user, the semi-trust cloud service provider may intentionally destroy or tamper shared PHRs data of user or only transform partial ciphertext of the shared PHRs or even return wrong computation results to save its storage and computation resource, to pursue maximum economic interest or other malicious purposes. Thus, the PHRs data storing or sharing via the cloud server should be performed with consistency and integrity verification. Fortunately, the emergence of blockchain technology provides new ideas and prospects for ensuring the consistency and integrity of shared PHRs data. To this end, in this work, we leverage the consortium blockchain technology to enhance the trustworthiness of each participant and propose a blockchain-based patient-centric data sharing scheme for PHRs in cloud computing (BC-PC-Share). Different from the state-of-art schemes, our proposal can achieve the following desired properties: (1) Realizing patient-centric PHRs sharing with a public verification function, i.e., which can ensure that the returned shared data is consistent with the requested shared data and the integrity of the shared data is not compromised. (2) Supporting scalable and fine-grained access control and sharing of PHRs data with multiple domain users, such as hospitals, medical research institutes, and medical insurance companies. (3) Achieving efficient user decryption by leveraging the transformation key technique and efficient user revocation by introducing time-controlled access. The security analysis and simulation experiment demonstrate that the proposed BC-PC-Share scheme is a feasible and promising solution for PHRs data sharing via consortium blockchain.

ATTRIBUTE-BASED PROXY RE-ENCRYPTION WITH KEYWORD SEARCH ON PERSONAL HEALTH RECORD

Personal health records (PHRs) contain sensitive health information that needs to be protected from unauthorized access. At the same time, patients may need to share their PHRs with healthcare providers or researchers to receive appropriate care or participate in medical studies. Attribute-based proxy re-encryption with keyword search (ABPRE-KS) is a what cryptographic technique that enables secure and controlled sharing of encrypted PHR data while preserving privacy and confidentiality of sensitive patient information. ABPRE-KS works by encryption of the PHR data using a key derived from the patient's attributes and allowing the patient to delegate access to the data to third parties using a proxy re-encryption scheme. To enable keyword search on the encrypted PHR data, an additional searchable encryption scheme can be used. ABPRE-KS provides a powerful tool for securely sharing and searching PHR and it can be used to facilitate better healthcare outcomes and medical research while protecting patient privacy.

Integration of EHR and PHR leveraging cloud services for approving treatments

Historically clinicians have been prescribing treatment to patients based on their visit to the hospital without referring to previous health records of the patients. This is primarily because clinicians do not have access to patient’s medical records. Though, with digital revolution in healthcare domain, patient’s medical history is available via Patient Health Records using Electronic Health Records (EHR) and Personal Health Records (PHR) systems. However, as EHR and PHR are maintained as separate systems in isolated manner, efficient accessibility of these systems is still very limited. To provide a unified view of patient data to the providers and the patients, integrated data resulting from such system not only allow to access past health records of patients, but further leverage PHRs data to provide quality treatment by examining the effect of treatment on patient’s health. Data integration techniques such as ETL and Cloud based technologies can be used to develop a system which provides real-time integration of healthcare data sourced & streamed from various healthcare systems. It will leverage the recommendations of quality treatments to the patients as well as the clinicians from cohesive view of integrated EHR and PHR data.

A Blockchain-Based Personal Health Record System for Emergency Situation

A personal health record (PHR) system stores personal health-related information, which can assist physicians in quickly forming appropriate treatment plans in emergency situations. Because a PHR contains lots of sensitive information, the patients are only willing to share their records with authorized doctors with their permission. There are three main challenging issues: (1) it is costly to store and maintain the growing PHRs data; (2) the existing PHR systems still face the privacy leakage risk during data transmission and access control processes; and (3) the response speed cannot meet the need in an emergency situation, especially when the patients are unconscious. In this paper, based on the permissioned blockchain Hyperledger Fabric, we propose a PHR management system preserving patients’ privacy and also supporting emergency access. In the system, we use reencryption technology and the anonymous identity mapping mechanism to protect patient privacy and use smart contracts to define access control strategies in an emergency situation. Furthermore, we use a quick response code and bloom filter to optimize system performance. The security analysis and experimental results show that our proposed framework guarantees the privacy of patient data from multiple aspects while improving the efficiency with which doctors can obtain PHR information.

Study of the factors influencing the use of MyData platform based on personal health record data sharing system

BackgroundThe application of telemedicine and electronic health (eHealth) technology has grown in importance during the COVID-19 pandemic, and a new approach in personal data management and processing MyData, has emerged. Data portability and informational self-determination are fundamental concepts of MyData. This study analysed the factors that influence acceptance of the MyData platform, which, reflects the right to self-determine personal data.MethodsThe study involved participants having experience using the MyData platform, and the key factors of the unified theory of acceptance and use of technology were used in the research model (performance expectancy, effort expectancy, social influence, facilitation condition and behavioural intention to use). The questionnaire comprided 27 items, and system usage log data were used to confirm that behavioural intention to use affected actual use behaviour through structural equation modeling.ResultsIn total, 1153 participants completed the survey. The goodness of fit in the structural equation model indices indicates that the data fit the research model well. Performance expectancy, social influence, and facilitating conditions had direct effects on behavioural intention to use. We used system usage log data to confirm that behavioural intention to use positively affected actual use behaviour. The impact of the main factors in the unified theory of acceptance and use of technology was not moderated by age or gender, except for performance expectancy.ConclusionsThis study is the first to examine the factors influencing the use of the MyData platform based on the personal health record data sharing system in Korea. In addition, the study confirmed the use behaviour of the MyData platform utilising the system’s actual usage log for each function and analysing the effect of the intention of use on actual use. Our study serves as a significant foundation for the acceptance of data portability and sharing concepts. It also lays the foundation for expanding the data economy and ecosystem in the pandemic era.

Survey on Personal Health Record using Cloud Computing

As a result of using an online personal health record (PHR), individuals may save, access, and share their private health information in a more efficient manner. To take advantage of the cloud's scalability and lower operational costs, PHR service providers should shift their apps and data to the cloud. In order to prevent unauthorised access to their personal health records, patients must encrypt their PHR data before storing it on cloud servers. Access to Personal Health Records (PHRs) can be challenging to scale and environmentally friendly under encryption. PHRs must be encrypted in such a way that the number of persons with access to the data does not become an issue. An important consideration when there are several users of a PHR device and each user has access to a unique set of encryption keys is the ease with which the keys may be distributed to each user. For the time being, management information can only be accessed through cryptographic methods for single-proprietor companies. A novel cloud-based solution to PHR management is proposed in this study, as explained above. Using ABE methods to encrypt each patient's Personal Health Record (PHR) data enables for granular and scalable access control for PHRs. Additionally, our approach provides green and on-call revocation of individual access credentials, as well as break-glass access in the event of an emergency. Keywords: Personal health records, cloud computing, Electronic Health Record, fine-grained access control.

TRAC: Traceable and Revocable Access Control Scheme for mHealth in 5G-Enabled IIoT

Mobile healthcare (mHealth) enables people to collect and share their personal health records (PHRs) and gain rapid medical treatment via mobile 5G-enabled Industrial Internet of Things (IIoT) devices, which also brings the challenge of keeping the PHRs confidentiality and preventing unauthorized access. By the emerging ciphertext-policy attribute-based encryption (CP-ABE), the PHR owner can encrypt his/her PHR data under self-defined access policies. However, existing CP-ABE schemes are suffering from either heavy computation cost and storage overhead or traitor tracing and direct revocation. In this article, we propose an efficient, traceable, and revocable access control scheme named TRAC for mHealth in 5G-enabled IIoT. In TRAC, the ciphertext is composed of the attribute-relevant ciphertext encrypted under an <sc xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">and</small> -gate access structure and the identity-relevant ciphertext associated with some potential receivers. The malicious user who leaks his/her privilege to unauthorized entities will be precisely tracked and added in the revocation list, by which the cloud server can update the identity-relevant ciphertext by itself. The length of final ciphertext and the time of bilinear pairing operations used in decryption are constant. The security analysis and performance evaluation indicate the security, efficiency, and practicality of TRAC.

Intensify Assured PHR Sharing in Cloud Using Entropy Based Signature Cryptosystem

Personal Health Record (PHR) in cloud database is stored, manipulated, and shared with users for high value of health care. The challenge is privacy of sensitive personal information and protection of data. In this paper, the attribute entropy key along with signature cryptosystem is proposed to move the data’s stored in third party cloud server in a secure way. In the proposed work, the PHR data is taken as an input and an attribute is selected for which attribute key generated using KEK (Key Encryption Key) algorithm. To secure the generated key, entropy is calculated for PHR data. This key is used to encrypt the PHR data. Then signature based on support value is generated for the PHR data and it is stored with the encrypted data in the cloud. Now, when the users want to access data, decryption is allowed after verification of both generated private key and signature which basically is for data integrity. Once the verifications are successful, then the authorized users are granted permission to access data from the cloud. The results display that the suggested method performs better when compared with other existing methods on parameters like cipher text size, query processing time, communication cost, and decryption time.

Minimum Data Set of Personal Health Record (PHR) for Patients with Chronic Respiratory Diseases

Introduction: Chronic respiratory diseases are one of the four main groups of non-communicable diseases. People with these diseases need access to data to manage their disease and care plan. Personal health record (PHR) as a powerful health information technology tool can empower chronic patients to better manage their health status and become an active member of health care teams. This study is to determine the minimum data set (MDS) in personal health record for patients with chronic respiratory diseases.Materials and Method: This present applied research was done descriptively by Delphi method. First, the data sets of chronic respiratory diseases were extracted using a literature review. Then, using a researcher-made questionnaire and based on Delphi technique in two phases, it was evaluated by 5 pulmonologists.Results: The PHR data set for chronic respiratory diseases was classified into six categories, including physical examination and clinical observation, laboratory data, medications, specialized treatments, diagnostic procedures and vaccination. The 33 data element were identified as the main data elements with an agreement of more than 80% in the first phase of Delphi technique. Also, in the second phase, the four data elements proposed by the experts in the first phase were agreed upon above 80%.Conclusion: Given the role of PHR data in tracking the progress of chronic diseases, treating, and teamwork by physicians and other care providers, determining the minimum data set will be an effective step toward integrating and improving information management in these patients.

Exploring the COVID-19 Pandemic as a Catalyst for Behavior Change Among Patient Health Record App Users in Taiwan: Development and Usability Study.

BackgroundDuring the COVID-19 pandemic, personal health records (PHRs) have enabled patients to monitor and manage their medical data without visiting hospitals and, consequently, minimize their infection risk. Taiwan’s National Health Insurance Administration (NHIA) launched the My Health Bank (MHB) service, a national PHR system through which insured individuals to access their cross-hospital medical data. Furthermore, in 2019, the NHIA released the MHB software development kit (SDK), which enables development of mobile apps with which insured individuals can retrieve their MHB data. However, the NHIA MHB service has its limitations, and the participation rate among insured individuals is low.ObjectiveWe aimed to integrate the MHB SDK with our developed blockchain-enabled PHR mobile app, which enables patients to access, store, and manage their cross-hospital PHR data. We also collected and analyzed the app’s log data to examine patients’ MHB use during the COVID-19 pandemic.MethodsWe integrated our existing blockchain-enabled mobile app with the MHB SDK to enable NHIA MHB data retrieval. The app utilizes blockchain technology to encrypt the downloaded NHIA MHB data. Existing and new indexes can be synchronized between the app and blockchain nodes, and high security can be achieved for PHR management. Finally, we analyzed the app’s access logs to compare patients’ activities during high and low COVID-19 infection periods.ResultsWe successfully integrated the MHB SDK into our mobile app, thereby enabling patients to retrieve their cross-hospital medical data, particularly those related to COVID-19 rapid and polymerase chain reaction testing and vaccination information and progress. We retrospectively collected the app’s log data for the period of July 2019 to June 2021. From January 2020, the preliminary results revealed a steady increase in the number of people who applied to create a blockchain account for access to their medical data and the number of app subscribers among patients who visited the outpatient department (OPD) and emergency department (ED). Notably, for patients who visited the OPD and ED, the peak proportions with respect to the use of the app for OPD and ED notes and laboratory test results also increased year by year. The highest proportions were 52.40% for ED notes in June 2021, 88.10% for ED laboratory test reports in May 2021, 34.61% for OPD notes in June 2021, and 41.87% for OPD laboratory test reports in June 2021. These peaks coincided with Taiwan’s local COVID-19 outbreak lasting from May to June 2021.ConclusionsThis study developed a blockchain-enabled mobile app, which can periodically retrieve and integrate PHRs from the NHIA MHB's cross-hospital data and the investigated hospital's self-pay medical data. Analysis of users’ access logs revealed that the COVID-19 pandemic substantially increased individuals’ use of PHRs and their health awareness with respect to COVID-19 prevention.

Development of a MyData Platform Based on the Personal Health Record Data Sharing System in Korea

Objectives: recently, there has been a government-level movement to guarantee the rights of individual entities regarding the use of their personal data worldwide. This movement has been specifically named as ‘MyData’ in South Korea and has variants such as ‘Self data’, ‘Midata’, ‘MesInfos’, ‘Personal Information Management Services’, ‘Personal Data Economy’ and ‘Internet of Me’ in other countries. This research project aimed to establish and demonstrate a system called ‘HiMD’, which allows individuals to select data sharing institutions and control a range of data utilization parameters under the MyData ecosystem. Method: we developed the MyData Platform, a personal health record data sharing system. The HiMD included several user-empowerment functions such as self-determination for data sharing. Actual platform users were recruited from three university-level hospitals for system assessment. Result: females comprised the majority of users with 991 participants (78.1%). Additionally, data consensus results revealed a decrease in given user permissions (from 94.9% to 79.4%) as the range and depth of permissions increased. Most users agreed to open their medical data for commercial uses (n = 1007, 79.4%) and most of those users were interested in DNA analysis (n = 888, 81.2%). Finally, all results for the five questions presented positive answers. All average values on the five questions scored above three on the Likert scale. In other words, over 50% participants gave point 4 and point 5. Conclusion: the contribution of this study is that it developed and demonstrated a MyData system that reflects the right to data portability. It means that the users can proactively make decisions regarding sharing and transferring their own data. These results are expected to contribute to developing future personal health record (PHR) systems of user-oriented and utilization of personal health data.

Multi keyword searchable attribute based encryption for efficient retrieval of health Records in Cloud

Personal Health Record (PHR) is an online electronic application used by patients to store, retrieve and share their health information in a private and secure environment. While outsourcing the PHR into cloud environment, there exist issues in privacy while storing, searching and sharing of health information. To overcome these issues, an efficient retrieval of health records using Multi Keyword Searchable Attribute Based Encryption (MK-SABE) is proposed. To manage the increasing PHR data in the cloud, an Authorized File Level Deduplication technique is adopted. It eliminates redundant files, thereby reducing the communication overhead. Moreover, PHR data is encrypted before outsourcing and to perform searching over encrypted data, the proposed MK-SABE introduces Conjunctive Multi Keyword Searchable Attribute Based Encryption (CM-SABE). This maintains the searchable property after encryption for efficient retrieval of health files using range query. Further to ensure the trustworthiness while sharing the sensitive data, MK-SABE introduces the Location Based Encryption (LBE) and Dynamic Location Based ReEncryption (DLBRE) technique to provide additional security. From the experimental analysis, it is proved that the proposed MK-SABE reduces the storage complexity by 5%, keyword search time by 25% and improves the overall performance of PHR by 40% compared to the existing schemes.

Integrating multiple blockchains to support distributed personal health records.

Blockchain technologies have evolved in recent years, as have the use of personal health record (PHR) data. Initially, only the financial domain benefited from Blockchain technologies. Due to efficient distribution format and data integrity security, however, these technologies have demonstrated potential in other areas, such as PHR data in the healthcare domain. Applying Blockchain to PHR data faces different challenges than applying it to financial transactions via crypto-currency. To propose and discuss an architectural model of a Blockchain platform named "OmniPHR Multi-Blockchain" to address key challenges associated with geographical distribution of PHR data. We analyzed the current literature to identify critical barriers faced when applying Blockchain technologies to distribute PHR data. We propose an architecture model and describe a prototype developed to evaluate and address these challenges. The OmniPHR Multi-Blockchain architecture yielded promising results for scenarios involving distributed PHR data. The project demonstrated a viable and beneficial alternative for processing geographically distributed PHR data with performance comparable with conventional methods. Blockchain's implementation tools have evolved, but the domain of healthcare still faces many challenges concerning distribution and interoperability. This study empirically demonstrates an alternative architecture that enables the distributed processing of PHR data via Blockchain technologies.

Implement an International Interoperable PHR by FHIR—A Taiwan Innovative Application

Personal health records (PHRs) have lots of benefits for things such as health surveillance, epidemiological surveillance, self-control, links to various services, public health and health management, and international surveillance. The implementation of an international standard for interoperability is essential to accessing personal health records. In Taiwan, the nationwide exchange platform for electronic medical records (EMRs) has been in use for many years. The Health Level Seven International (HL7) Clinical Document Architecture (CDA) was used as the standard of the EMRs. However, the complication of implementing CDA became a barrier for many hospitals to realize the standard EMRs. In this study, we implemented a Fast Healthcare Interoperability Resources (FHIR)-based PHR transformation process including a user interface module to review the contents of PHRs. We used “My Health Bank, MHB”, a PHR data book developed and issued to all people by the Taiwan National Health Insurance, as the PHRs contents in this study. Network Time Protocol (NTP)/Simple Network Time Protocol (SNTP) was used in the security and user authentication mechanism when processing and applying personal health information. Transport Layer Security (TLS) 1.2 (such as HyperText Transfer Protocol Secure (HTTPS) was used for protection in data communication. User authentication is important in the platform. OAuth (OAuth 2.0) was used as a user authentication mechanism to confirm legitimate user access to ensure data security. The contents of MHB were analyzed and mapped to the FHIR, and then converted to FHIR format according to the mapping logic template. The function of format conversion was carried out by using ASP.NET. XPath and JSPath technologies filtered out specific information tags. The converted data structure was verified through an HL7 Application Programming Interface (HAPI) server, and a new JSON file was finally created. This platform can not only capture any PHR based on the FHIR format but also publish FHIR-based MHB records to any other platform to bridge the interoperability gap between different PHR systems. Therefore, our implementation/application with the automatic transformation from MHB to FHIR format provides an innovative method for people to access their own PHRs (MHB). No one has published a similar application like us using a nationwide PHR standard, MHB, in Taiwan. The application we developed will be very useful for a single person to use or for other system developers to implement their own standard PHR software.

A Multi-User Ciphertext Policy Attribute-Based Encryption Scheme with Keyword Search for Medical Cloud System

Population aging is currently a tough problem of many countries. How to utilize modern technologies (including both information and medical technologies) to improve the service quality of health information is an important issue. Personal Health Record (PHR) could be regarded as a kind of health information records of individuals. A ciphertext policy attribute-based encryption (CP-ABE) is a cryptographic primitive for fine-grained access control of outsourced data in clouds. In order to enable patients to effectively store his medical records and PHR data in medical clouds, we propose an improved multi-user CP-ABE scheme with the functionality of keyword search which enables data users to seek for specific ciphertext in the cloud server by using a specific keyword. Additionally, we adopt an independent proxy server in the proposed system architecture to isolate the communication between clients and the cloud server, so as to prevent cloud servers from suffering direct attacks and also reduce the computational loading of cloud servers. Compared with the previous approach, the proposed encryption algorithm takes less running time and the ciphertext length is also relatively short. Moreover, the procedures of re-encryption and pre-decryption only require one exponentiation computation, respectively.

Literature Review: Personal Health Record Untuk Meningkatkan Perawatan Kesehatan Lansia

Introduction: Personal health record is a patient's personal health record data. The role of personal health records in improving the health of the elderly is still not efficient. Patients are still constrained in accessing and controlling health record data independently. Patients find it difficult to obtain and adopt integrated information about personal health record data that is contained in the health care provider. Another problem is that patients experience limited integration of health records related to security issues such as confidentiality and privacy of health records. Research method : This type of literature study is a literature review. The research objective was to determine the effectiveness of the role of personal health records in improving elderly health care. The search strategy for English studies relevant to the topic was carried out using the ScienceDirect, SagePub, Springer databases limited from 2015 to 2020. The keywords used were “personal health record”, “elderly”, “health care”. Full text articles were reviewed to select studies that matched the criteria. The inclusion criteria in this review were: personal health records, and elderly. A search using the above keywords with the ScienceDirect, SagePub, Springer databases that matched the inclusion criteria was only 13 articles. Research results : The research reviewed in this article uses a variety of methods, namely implementing and evaluating, analyzing and modeling, multi-method descriptive study, mixed-methods study, user-centered design, systematic review, research model and an empirical study, one- way anonymous, mixed design experiment, survey, qualitative interview study, systematic review, study was reviewed and approved. Research using random technique consists of 1 article, while using non-random technique is 12 articles. Conclusion : The role of personal health records can provide information about the health of elderly patients, especially nursing care services based on patient health records. So that this information can be used as a basis for making nursing interventions that are appropriate to the condition of the elderly at that time.