Personal Health Record Systems Research Articles

Cohort profile: rationale and design of the Resource Center for Health Science (RECHS) project – a study of health hazards and medical cost burden among the Japanese population

PurposeThe increased global burden of non-communicable diseases and mental disorders is an urgent health challenge for countries around the entire world, especially those experiencing super-ageing societies, where over 21% of...

Prevalence of the hematopoietic rare genetic diseases in Türkiye: A retrospective study

BackgroundRare genetic diseases are an important global public health problem. At present there are defined approximately 8120 genetic diseases in 15,465 epidemiological datasets and 70% of them start in childhood. Hematopoiesis is the production of all cellular components of blood and continues throughout life. ObjectiveThis study aims to present prevalence of hematopoietic rare genetic diseases recorden in Turkey. MethodsThe population of study consist of 84.680.273 people who received healthcare from the Turkish National Health Service (49.9% female, 50.1% male). TNHS collects and records electronic data which relates with illness or health information of Turkish population since 2018. All healthcare facilities utilize the Personal Electronic Health Record System (PHR), aligning with standards outlined in the Turkish National Health Data Dictionary and the Health Coding Reference Server (HCRS) established by the Ministry of Health in 2007. The data dictionary comprises essential packages such as patient application and examination records. ResultsDiagnosed female population (53.04%) were higher than male (46.96%). Data shows that most of the people with rare genetic diseases were diagnosed in Marmara Region. The overall prevalence of Hematopoietic Rare Genetic Diseases higher in the years of 2021 and 2022. ConclusionThe prevalence increased gradually from 2018 to 2022. The consanguinity marriage seems to be the main problem which resulted higher rate of rare genetic diseases in Türkiye.

Prototipe Rekam Kesehatan Personal pada Pasien Diabetes Mellitus (Literature Review)

Personal Health Record (PHR) is a collection of health-related data that is archived and managed by an individual or parties associated with the PHR. Its purpose is to provide a comprehensive and accurate summary of a person's health history that can be accessed online. This research is a Literature Review study which aims to determine the features and implementation of Personal Health Records in Patients with Diabetes Mellitus. The method used is the Literature Review method from 7 journals which uses several methods including the prototype method, qualitative methods, heuristic evaluation methods, applied development methods, participatory action research methods, and randomized controlled trial methods with data collection techniques through google scholar, direct science and pubmed. The results of the research are seen in the features and implementation of the Personal Health Record. The Personal Health Record feature for diabetes mellitus with dialysis measures has 25 features on the main page, the PHR feature for diabetes mellitus has 7 main features. PHR implementation allows users to access their personal health records anytime and anywhere. Thus, the PHR system can increase accessibility and allow users to access PHR without time restrictions and also the Personal Health Record can assist in monitoring the health condition of Diabetes Mellitus patients. Research conclusion According to the journals analyzed, PHR is effective because it can encourage patient participation in individual health controls, and can access information about diabetes mellitus through monitoring physical activity, diet, weight, and glucose levels.

What Motivates People to Adopt Personal Health Record? Understanding the Effect of Innovation and Context-Specific Threat on Personal Health Record Adoption Intention

Personal Health Record (PHR) allows individuals to access, manage, and share health-related information while actively participating in personal care management. The ongoing COVID-19 pandemic and changes imposed by the government on the population enhanced the disparities among citizens’ ability to access healthcare. Thus, the purpose of this study was to provide an operating mechanism for understanding the effects of COVID-19 on individuals’ PHR adoption intention based on an extended research model, including the Innovation and Diffusion Theory and Technology Acceptance Model. Structural equation modeling was employed to analyze the research model, using 390 valid responses from Taiwan. Findings indicated relative advantage, compatibility, ease of use, and personal innovativeness significantly influence perceived usefulness. Second, relative advantage, compatibility, ease of use, personal innovativeness, and perceived threat of COVID-19 significantly affect attitude toward PHR. Third, perceived usefulness and attitude positively influence PHR adoption intention. The current study provides policymakers insight into how Taiwanese individuals’ psychological, technological, and pandemic-related threat affect their willingness to use the PHR system during the pandemic to receive better care that could eventually improve their quality of life.

Intelligent Personal Health Record Systems

Personal health record (PHR) systems are a constantly evolving area in the field of health information technology which motivates an ongoing research towards their evaluation in several different aspects. In this direction, we present an evaluation study on PHR systems that provides an insight on their current status with regard to functional and technical capabilities and we present our extensions to a specific PHR system. Essentially, we provide a requirement analysis that formulates our composite evaluation model which we use to perform a systems review on numerous available solutions. Then, we present our development efforts towards an intelligent PHR system

Healthcare professionals' knowledge, attitude and its associated factors toward electronic personal health record system in a resource-limited setting: A cross-sectional study.

Electronic personal health record (e-PHR) system enables individuals to access their health information and manage it themselves. It helps patient engagement management of health information that is accessed and shared with their healthcare providers using the platform. This improves individual healthcare through the exchange of health information between patients and healthcare providers. However, less is known about e-PHRs among healthcare professionals. Therefore, this study aimed to assess Health professionals' Knowledge and attitude and its associated factors toward e-PHR at the teaching hospital in northwest Ethiopia. An institution-based cross-sectional study design was used to determine healthcare professionals' knowledge and attitude and their associated factors toward e-PHR systems in teaching hospitals of Amhara regional state, Ethiopia, from 20 July to 20 August 2022. Pretested structured self-administered questionnaires were used to collect the data. Descriptive statistic was computed based on sociodemographic and other variables presented in the form of table graphs and texts. Bivariable and multivariable logistic analyses were performed with an adjusted odds ratio (AOR) and 95% CI to identify predictor variables. Of the total study participants, 57% were males and nearly half of the respondents had a bachelor's degree. Out of 402 participants, ~65.7% [61-70%] and 55.5% [50-60%] had good knowledge and favorable attitude toward e-PHR systems, respectively. Having a social media account 4.3 [AOR = 4.3, 95% CI (2.3-7.9)], having a smartphone 4.4 [AOR = 4.4, 95% CI (2.2-8.6)], digital literacy 8.8 [(AOR = 8.8, 95% CI (4.6-15.9)], being male 2.7 [AOR = 2.7, 95% CI (1.4-5.0)], and perceived usefulness 4.5 [(AOR = 4.5, 95% CI (2.5-8.5)] were positively associated with knowledge toward e-PHR systems. Similarly, having a personal computer 1.9 [AOR = 1.9, 95% CI (1.1-3.5)], computer training 3.9 [AOR = 3.9, 95% CI (1.8-8.3)], computer skill 19.8 [AOR = 19.8, 95% CI (10.7-36.9)], and Internet access 6.0 [AOR = 6.0, 95% CI (3.0-12.0)] were predictors for attitude toward e-PHR systems. The findings from the study showed that healthcare professionals have good knowledge and a favorable attitude toward e-PHRs. Providing comprehensive basic computer training to improve healthcare professionals' expectation on the usefulness of e-PHR systems has a paramount contribution to the advancement of their knowledge and attitude toward successfully implementing e-PHRs.

Knowledge of Australia’s My Health Record and factors associated with opting out: Results from a national survey of the Australian general population and communities affected by HIV and sexually transmissible infections

My Health Record is Australia's national, digital, personal health record system. All Australians have a record in the system unless they choose to opt out of it. Concerns about privacy, security and unwanted sharing of data, particularly in marginalised populations, may impede its use. We conducted a national, online survey of Australians' attitudes to digital health in April-June 2020. The sample (N = 2,240) was recruited from the general population and four priority populations affected by HIV and other sexually transmissible infections: gay and bisexual men, people living with HIV, sex workers, and trans and gender diverse people. This analysis assesses factors associated with greater knowledge of My Health Record and the likelihood of opting out of the system. Due to increased concerns about data privacy and misuse, we hypothesised that priority population members would know more about and be more likely to opt out of the system. We found that most of the sample (71.2%) knew little about My Health Record and 29.4% had opted out of the system. Greater knowledge of My Health Record was associated with younger age, having a university degree, having one or more health conditions, and being trans or gender diverse. Being a student, unemployed, receiving government benefits, or having poor self-reported health, were associated with less knowledge. Opting out of My Health Record was associated with having a university degree, one or more health conditions, and being a priority population member. The likelihood of opting out was lower among people born overseas, residents of Queensland, and people who were students, unemployed, or receiving government benefits. We recommend additional investment in community-based education to address people's concerns about My Health Record and support people to use the system without compromising their health care, privacy, or security. Opting out may be a legitimate choice for people who perceive more risks than benefits from the system.

Predicting healthcare professionals’ acceptance towards electronic personal health record systems in a resource-limited setting: using modified technology acceptance model

ObjectivesPersonal health record systems allow users to manage their health information in a confidential manner. However, there is little evidence about healthcare providers’ intentions to use such technologies in resource-limited...

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.

Distance is no longer a barrier to healthcare services: current state and future trends of telehealth research

PurposeTaking a business lens of telehealth, this article aims to review and provide a state-of-the-art overview of telehealth research.Design/methodology/approachThis research conducts a systematic literature review using the scientific procedures and rationales for systematic literature reviews (SPAR-4-SLR) protocol and a collection of bibliometric analytical techniques (i.e. performance analysis, keyword co-occurrence, keyword clustering and content analysis).FindingsUsing performance analysis, this article unpacks the publication trend and the top contributing journals, authors, institutions and regions of telehealth research. Using keyword co-occurrence and keyword clustering, this article reveals 10 major themes underpinning the intellectual structure of telehealth research: design and development of personal health record systems, health information technology (HIT) for public health management, perceived service quality among mobile health (m-health) users, paradoxes of virtual care versus in-person visits, Internet of things (IoT) in healthcare, guidelines for e-health practices and services, telemonitoring of life-threatening diseases, change management strategy for telehealth adoption, knowledge management of innovations in telehealth and technology management of telemedicine services. The article proposes directions for future research that can enrich our understanding of telehealth services.Originality/valueThis article offers a seminal state-of-the-art overview of the performance and intellectual structure of telehealth research from a business perspective.

The Use of a Technology Acceptance Model (TAM) to Predict Patients' Usage of a Personal Health Record System: The Role of Security, Privacy, and Usability.

Personal health records (PHR) systems are designed to ensure that individuals have access and control over their health information and to support them in being active participants rather than passive ones in their healthcare process. Yet, PHR systems have not yet been widely adopted or used by consumers despite their benefits. For these advantages to be realized, adoption of the system is necessary. In this study, we examined how self-determination of health management influences individuals' intention to implement a PHR system, i.e., their ability to actively manage their health. Using an extended technology acceptance model (TAM), the researchers developed and empirically tested a model explaining public adoption of PHRs. In total, 389 Saudi Arabian respondents were surveyed in a quantitative cross-sectional design. The hypotheses were analysed using structural equation modelling-partial least squares (SEM-PLS4). Results indicate that PHR system usage was influenced by three major factors: perceived ease of use (PEOU), perceived usefulness (PU), and security towards intention to use. PHR PEOU and PHR intention to use were also found to be moderated by privacy, whereas usability positively moderated PHR PEOU and PHR intention to use and negatively moderated PHR PU and PHR intention to use. For the first time, this study examined the use of personal health records in Saudi Arabia, including the extension of the TAM model as well as development of a context-driven model that examines the relationship between privacy, security, usability, and the use of PHRs. Furthermore, this study fills a gap in the literature regarding the moderating effects of privacy influence on PEOU and intention to use. Further, the moderating effects of usability on the relationship between PEOU, PU, and intention to use. Study findings are expected to assist government agencies, health policymakers, and health organizations around the world, including Saudi Arabia, in understanding the adoption of personal health records.

Hospitals' Adoption of Mobile-Based Personal Health Record Systems and Patients' Characteristics: A Cross-Sectional Study Analyzing National Healthcare Big Data.

Insufficient information exists on the associations between hospitals' adoption of mobile-based personal health record (mPHR) systems and patients' characteristics. This study explored the associations between patients' characteristics and hospitals' adoption of mPHR systems in Korea. This cross-sectional study used 316 hospitals with 100 or more beds as the unit of analysis. Previously collected data on mPHR adoption from May 1 to June 30, 2020 were analyzed. National health insurance claims data for 2019 were also used to analyze patients' characteristics. The dependent variable was mPHR system adoption (0 vs 1) and the main independent variables were the number of patients, age distribution, and proportions of patients with cancer, diabetes, and hypertension among inpatients and outpatients. The number of inpatients was significantly associated with mPHR adoption (adjusted odds ratio [aOR]: 1.174; 1.117-1.233, P < .001), as was the number of outpatients (aOR: 1.041; 1.028-1.054, P < .001). The proportion of inpatients aged 31 to 60 years to those aged 31 years and older was also associated with hospital mPHR adoption (aOR: 1.053; 1.022-1.085, P = .001). mPHR system adoption was significantly associated with the proportion of inpatients (aOR: 1.089; 1.012-1.172, P = .024) and outpatients (aOR: 1.138; 1.026-1.263, P = .015) with cancer and outpatients (aOR: 1.271; 1.101-1.466, P = .001) with hypertension. Although mPHR systems are useful for the management of chronic diseases such as diabetes and hypertension, the number of patients, younger age distribution, and the proportion of cancer patients were closely associated with hospitals' introduction of mPHR systems.

Improving health-care planning for fracture patients in Türkiye: insights from a nationwide study.

The distribution of fractures may vary according to age and gender. In a country like Türkiye, which has high population density and covers a large geographical area, it is important to understand the regional variations in fractures and identify the health institutions in which patients seek treatment to plan new health-care investments effectively. The objective of our study was to investigate the distribution of fractures across the seven regions of Türkiye considering age, gender, and the level of health institutions the patients visited. Between January 2021 and May 2023, the total number of fractures, locations of the fractures, patient age and gender, geographical regions, and levels of the health-care institutions to which the patients presented were examined through the e-Nabız personal health record system. Age groups were divided into pediatric (0-19 years), adult (20-64 years), and geriatric (≥65 years) categories. Geographical regions included the Marmara, Central Anatolia, Black Sea, Eastern Anatolia, Aegean, Mediterranean, and Southeastern Anatolia regions. A total of 2,135,701 patients with 2,214,213 fractures were analyzed. Upper extremity fractures were the most common among all considered fracture groups (1,154,819 fractures, 52.2%). There were 643,547 fractures in the pediatric group, 1,191,364 fractures in the adult group, and 379,302 fractures in the geriatric group. While the total number of fractures was higher among men with 1,256,884 fractures (58.9%), the rate among women was higher in the geriatric group (67.2%). Geographically, the highest number of fractures was observed in the Marmara region (714,146 fractures), and 67.92% of all patients presented to secondary health-care institutions (1,500,780 fractures). The most commonly diagnosed fracture in the study population was distal radius fractures. The most common fracture in the geriatric group was femur fractures while distal radius fractures were the most common fractures in the adult and the pediatric groups. By understanding the distribution of fractures in Türkiye based on fracture site, geographical region, age, and gender, it becomes possible to improve the planning of patient access to health-care services. In regions with limited health resources, a more successful resource distribution can be achieved by considering fracture distributions and age groups.

An empirical investigation into the preferences of the elderly for user interface design in personal electronic health record systems.

With the continuous advancement of digital technologies, electronic Personal Health Records (ePHR) offer end-users greater control and convenience over their health data. Although ePHR are perceived as innovative tools in medical services that provide patient-centered care and disease prevention, many system interfaces are inclined toward younger users, overlooking investigations pertinent to elderly users. Our objective is to uncover the preferences of the elderly for an ideal ePHR system interface. Relying on a literature review, we identified six interface attributes. Utilizing conjoint analysis, we constructed 16 representative design scenarios based on orthogonal design by combining different attribute levels. We invited 187 elderly participants to evaluate these scenarios. Data analysis was performed using SPSS 26.0. The results indicate that among the ePHR interface design attributes, the elderly prioritize color attributes, followed by the notification method. Designs with contrasting color schemes, skeuomorphic design approaches, and icon-centric menu navigation with segmented layouts, and voice notifications when a message is received, are the most preferred interface design choices. This research elucidates the ideal interface design elements for ePHR as perceived by the elderly, offering valuable references for age-friendly design considerations in ePHR systems. Implementing these insights can aid in promoting mobile health services among the elderly demographic, enhancing their user experience in health management interfaces. This, in turn, fosters the widespread adoption of mobile health service technologies, further advancing the development of a healthy aging society.

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 &amp; 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.

A Secure Personal Health Record Sharing System with Key Aggregate Dynamic Searchable Encryption

Recently, as interest in individualized health has increased, the Personal Health Record (PHR) has attracted a lot of attention for prognosis predictions and accurate diagnoses. Cloud servers have been used to manage the PHR system, but privacy concerns are evident since cloud servers process the entire PHR, which contains the sensitive information of patients. In addition, cloud servers centrally manage the PHR system so patients lose direct control over their own PHR and cloud servers can be an attractive target for malicious users. Therefore, ensuring the integrity and privacy of the PHR and allocating authorization to users are important issues. In this paper, we propose a secure PHR sharing system using a blockchain, InterPlanetary File System (IPFS), and smart contract to ensure PHR integrity and secure verification. To guarantee the patient’s authority over the management of his/her own PHR, as well as provide convenient access, we suggest a key aggregate dynamic searchable encryption. We prove the security of the proposed scheme through informal and formal analyses including an Automated Verification of Internet Security Protocols and Applications (AVISPA) simulation, Burrows–Abadi–Needham (BAN) logic, and security-model-based games. Furthermore, we estimate the computational costs of the proposed scheme using a Multiprecision Integer and Rational Arithmetic Cryptographic Library (MIRACL) and compare the results with those of previous works.

Feasibility of Using Multiplayer Game-Based Dual-Task Training with Augmented Reality and Personal Health Record on Social Skills and Cognitive Function in Children with Autism.

The purpose of this preliminary study was to evaluate the feasibility of multiplayer game contents with dual-task exercises using augmented reality (AR) and a personal health record (PHR) system for social skills and cognitive function in children with autism. The present study used a single group pretest–posttest study design with fourteen children diagnosed with autism and aged 6–16 years. The intervention consisted of various game contents designed specifically with cognitive and motor tasks, performed for 30 min per session, twice a week, for three weeks. Outcome measures were conducted before and after the intervention and included social skills and cognitive function. A satisfactory survey was conducted post-intervention to assess the usability of the performed games. As result, statistically significant improvements were observed in all subscales of the social skills and cognitive function expected in two subscales of each measured outcome. Parents and children appreciated the overall game program, and no risk of injury and dizziness were mentioned. This preliminary study found that multiplayer game-based dual-task training using AR and PHR was feasible and has a promising efficacy for children with autism. However, there is the need to conduct a randomized control study with a large sample size.

Patients' Willingness and Ability to Identify and Respond to Errors in Their Personal Health Records: Mixed Methods Analysis of Cross-sectional Survey Data.

BackgroundErrors in electronic health records are known to contribute to patient safety incidents; however, systems for checking the accuracy of patient records are almost nonexistent. Personal health records (PHRs) enabling patient access to and interaction with the clinical records offer a valuable opportunity for patients to actively participate in error surveillance.ObjectiveThis study aims to evaluate patients’ willingness and ability to identify and respond to errors in their PHRs.MethodsA cross-sectional survey was conducted using a web-based questionnaire. Patient sociodemographic data were collected, including age, sex, ethnicity, educational level, health status, geographical location, motivation to self-manage, and digital health literacy (measured using the eHealth Literacy Scale tool). Patients with experience of using the Care Information Exchange (CIE) portal, who specified both age and sex, were included in these analyses. The patients’ responses to 4 relevant survey items (closed-ended questions, some with space for free-text comments) were examined to understand their willingness and ability to identify and respond to errors in their PHRs. Multinomial logistic regression was used to identify patients’ characteristics that predict the ability to understand information in the CIE and willingness to respond to errors in their records. The framework method was used to derive themes from patients’ free-text responses.ResultsOf 445 patients, 181 (40.7%) “definitely” understood the CIE information and approximately half (220/445, 49.4%) understood the CIE information “to some extent.” Patients with high digital health literacy (eHealth Literacy Scale score ≥26) were more confident in their ability to understand their records compared with patients with low digital health literacy (odds ratio [OR] 7.85, 95% CI 3.04-20.29; P<.001). Information-related barriers (medical terminology and lack of medical guidance or contextual information) and system-related barriers (functionality or usability and information communicated or displayed poorly) were described. Of 445 patients, 79 (17.8%) had noticed errors in their PHRs, which were related to patient demographic details, diagnoses, medical history, results, medications, letters or correspondence, and appointments. Most patients (272/445, 61.1%) wanted to be able to flag up errors to their health professionals for correction; 20.4% (91/445) of the patients were willing to correct errors themselves. Native English speakers were more likely to be willing to flag up errors to health professionals (OR 3.45, 95% CI 1.11-10.78; P=.03) or correct errors themselves (OR 5.65, 95% CI 1.33-24.03; P=.02).ConclusionsA large proportion of patients were able and willing to identify and respond to errors in their PHRs. However, some barriers persist that disproportionately affect the underserved groups. Further development of PHR systems, including incorporating channels for patient feedback on the accuracy of their records, should address the needs of nonnative English speakers and patients with lower digital health literacy.

Lattice-based public-key encryption with equality test supporting flexible authorization in standard model

As cloud computing has developed rapidly, outsourcing data to cloud servers for remote storage has become an attractive trend. However, when cloud clients store their data in the cloud, the security and privacy of cloud data would be threatened due to accidental corruptions or purposive attacks caused by a semi-trusted cloud server. The widely used method of addressing the security and privacy of cloud data is to store encrypted data instead of plain data. As the resulting system is unusable, since the cloud can no longer search throughout the data, new cryptographic primitive such as public-key encryption with equality test (PKEET) has been introduced. PKEET has many interesting applications such as keyword search on encrypted data, encrypted data partitioning for efficient encrypted data management, personal health record systems, spam filtering in encrypted email systems and so forth. PKEET allows checking whether two ciphertexts encrypted under different public keys contain the same message or not. However, unrestricted access to equality tests can reveal information about the underlying data. This is not acceptable in respect of users' privacy. In 2015, Ma et al. introduce the notion of PKEET with flexible authorization (PKEET-FA) which strengthens privacy protection. Since 2015, there are several follow-up works on PKEET-FA. However, all are secure in the random oracle model and vulnerable to quantum attacks. In this paper, we provide two constructions of quantum-safe PKEET-FA secure in the standard model based on the hardness assumptions of integer lattices and ideal lattices. Finally, we implement the PKEET-FA scheme over ideal lattices.