Pichitpong Soontornpipit

Comparison of Implantable Antennas for Cardiovascular Patients

Implantable device cardiac observation (ICDO) such as pacemaker requires communication with medical devices outside the body in order to monitor or control the parameters of the organ it is supporting. Three types of implantable antennas have been investigated to determine their performances on two patient conditions: normal and hyperglycemia. Folded dipole, serpentine microstrip, and waffle-type Planar Inverted-F (PIFA) antennas are operated in the 402-405 MHz, which is medical implant communication services (MICS) band. Detailed analysis of the design issues of the antennas and comparative results of simulations and measurements are presented.

Development of the Electronic Surveillance Monitoring System on Web Applications

Abstract This paper presents the electronic surveillance monitoring system (ESMS) via the web based application used especially for the health sector. The system is created for three purposes, the alert function for the surveillance and rapid response team (SRRT), the monitoring for inspection and evaluation, and the back-office report. With the import and export functions that are capable to retrieve electronic health record and edit the R506 and R507 data, the SRRT and local team can easily set up and manage their resources. The GPS function helps care takers to identify the geographical data for any countermeasure and action. The program is designed to submit reports automatically to the Ministry of Public Health (MOPH). The SRRT module can operate in both on-line and off-line conditions.

Design and Development of Data Model for Thai Sub Acute and Non Acute Patients

This study designs and develops two data models in order to support the classification of DRG for sub-acute and non-cute inpatient (SNAP) as an appropriate tool for payment and to persuade the better of rehabilitation services. The systems analysis and database design techniques have been used. The models are designed based on two different approaches, firstly minimum effects to a current service systems and secondly coverage of both outpatient and inpatient for SNAP service. Two data models, A and B, can present as alternative database sets to classify DRG for SNAP to get a better reimbursement.

Internet Cigarette and Tobacco Business (ICTB) Database for Domestic Markets in Thailand

This research presents a cross-sectional survey for monitoring and analysis of illegal sales of cigarettes or tobacco products on the internet in Thailand from June 2010 to June 2014. The websites are collected monthly and classified into four categories: blog, webboard, social network and online shopping. First the data was gathered by using manpower and later by an algorithm program. Each data category is separately analyzed and carried out to gather information from the details of tobacco products and websites such as product types, brands, prices, promotions, and payment methods. The databases are later submitted to three regulators, Thai Hotline, Royal Thai Police, and ICT, to close the websites and arrest distributors.

Monitoring and Indexing System for Illegal Tobacco Sales on Website in Thailand by Using Web Crawler Technique

This research designs an artificial intelligent (AI) system for monitoring and collecting tobacco sales on website in Thailand. The web mining and web crawler enhanced with AI are used for gathering a list of URL page while filtering and discarding the redundant pages. Only the websites that sale tobacco products such as cigarettes and electronics-cigarette (e-cigarette) are collected and indexed. Social media like blog, Facebook, Twitter and Line are also included. The data results have been sent monthly to the Excise department at Ministry of Finance (MOF) and Ministry of Information and Communication Technology (ICT) for more investigation and process in courts.

E-Referral System by Means of Decision Support System

This research aims to study, analyze, design and develop a web-based referral system for the recommendation of appropriate referred hospitals. Decision support system is applied to reduce time to find provider information that qualify with referral policy, medical specialists, bed, healthcare coverage, how emergency, distance and transportation time. This e-referral system scopes referral area from Siriraj hospital to other health care providers in Bangkok and metropolitan region (Nakhon Pathom, Nonthaburi, Pathum Thani, Samut Prakan and Samut Sakhon), with a total of 240 hospitals. This approach uses a rule-based system to match providers with Siriraj referral policy. Then, these matched providers’ data are analyzed to calculate its weight value.

Appointment Tracking System for Improving Patient Waiting Time

This research aim to design and develop a system that improve the patient waiting time. Appointment system is designed to be the core system that uses to inform the patient’s appointment information. Patient appointment is informed by email and SMS alert to their cell phone. The system provides the appointment time and average waiting time before their queue. When the patients get their treatment, the system tracks down the timestamp for each process from the start till the end to calculate average waiting time. The time results are used for both other patients to determine their waiting time and for hospital management team to verify the quality system.

Dental Guidelines with Decision Support System for Hypertension and Stroke Patients

The research aims to design and develop the clinical decision support system (CDSS) for supporting clinical practice guideline (CPG) for the dental treatment. The system is created for patients who have hypertension and stroke diseases as they are the third and fourth causes of death in Thailand. Based on patient information retrieved from database in the hospital information system, the system generates the decision support flow using if-then rule base to provide dental precaution of individual patient along with clinical practice guidelines. The system presents stage of hypertension disease, treatment guidelines of each stage, history of stroke occurrence, medicine prescribing data, antiplatelet drug causes of long time bleeding and beta-blocker anti-hypertension drug causes of postural hypotension.

Spatial Mapping of HIV Infection by Means of Mixture Models

Geographical distribution of HIV infection has an important role to serve the policy and the health resource allocation. A standardized infection ratio (SIR) is a measure of interest for identifying HIV infected on a map while controlling age-confounder by applying age-specific infection rates of a standard population to the study population. Mixture models of Poisson distributions allowing for heterogeneity using the nonparametric maximum likelihood (NPML) estimators were proposed to classify SIRs into the area clusters. Surveillance data of the number of HIV cases infected overall the country, classified by provinces and age groups, collected by the National Health Security Office (NHSO) were adopted during 2008 to 2013 in Thailand. The results indicated that in 2013 there were 18,081 persons infected with HIV among 623,265 people scrutinized with blood test (about 2.90 per 100). After applying the standard age-specific infection rates with the past five years 2008-2012 of HIV infection overall the country to each province, the SIR for each province varied widely around the mean 0.83 (SD =0.51) and this reported a 17% decrease in SIR Thailand 2013 compared with the national standard in 2008-2012. Mixture model has provided 5 clusters of high risk areas. The provinces with the five highest SIRs were Nongbualamphu (3.13), Chumphon (2.26), Samutprakan (2.09), Udonthani (2.04), Pathumthani (1.63). Finally, the mixture program for analysis of data is available on request.