THE RESTLESS LEGS SYNDROME (REVIEW).

The restless legs syndrome (RLS), also known as Willis-Ekbom disease, is a common sleep related neurological disorder with prevalence between 1 and 10%, increasing with age. Women are more frequently affected than men. RLS is characterized by an urge to move the legs accompanied by uncomfortable and unpleasant sensations in the legs, worsening of complaints during periods of rest, improvement by movement and an increase of symptoms in the evening or at night. In addition, affected patients may also suffer from severe sleep disorders and negative effects on daily activities. There is often a history of RLS among first-degree relatives, especially with the primary form. Among other, comorbidities or causal factors are iron deficiency, terminal renal insufficiency, pregnancy, polyneuropathy, or psychotropic drugs. The etiology of primary (idiopathic) RLS has not been clarified yet; however, genetic factors and dysfunctional dopaminergic neurotransmission as well as alterations of central iron metabolism play an important role. In addition to non-pharmacological treatment such as lifestyle modifications or behavioral strategies, levodopa, dopamine agonists, or anticonvulsants are effective. Opioids may be used in otherwise refractory forms. In the case of secondary or comorbid RLS, treatment of the underlying disease is necessary.

Automated speech recognition for time recording in out-of-hospital emergency medicine-an experimental approach.

Precise documentation of medical treatment in emergency medical missions and for resuscitation is essential from a medical, legal and quality assurance point of view [Anästhesiologie und Intensivmedizin, 41 (2000) 737]. All conventional methods of time recording are either too inaccurate or elaborate for routine application. Automated speech recognition may offer a solution. A special erase programme for the documentation of all time events was developed. Standard speech recognition software (IBM ViaVoice 7.0) was adapted and installed on two different computer systems. One was a stationary PC (500MHz Pentium III, 128MB RAM, Soundblaster PCI 128 Soundcard, Win NT 4.0), the other was a mobile pen-PC that had already proven its value during emergency missions [Der Notarzt 16, p. 177] (Fujitsu Stylistic 2300, 230Mhz MMX Processor, 160MB RAM, embedded soundcard ESS 1879 chipset, Win98 2nd ed.). On both computers two different microphones were tested. One was a standard headset that came with the recognition software, the other was a small microphone (Lavalier-Kondensatormikrofon EM 116 from Vivanco), that could be attached to the operators collar. Seven women and 15 men spoke a text with 29 phrases to be recognised. Two emergency physicians tested the system in a simulated emergency setting using the collar microphone and the pen-PC with an analogue wireless connection. Overall recognition was best for the PC with a headset (89%) followed by the pen-PC with a headset (85%), the PC with a microphone (84%) and the pen-PC with a microphone (80%). Nevertheless, the difference was not statistically significant. Recognition became significantly worse (89.5% versus 82.3%, P<0.0001 ) when numbers had to be recognised. The gender of speaker and the number of words in a sentence had no influence. Average recognition in the simulated emergency setting was 75%. At no time did false recognition appear. Time recording with automated speech recognition seems to be possible in emergency medical missions. Although results show an average recognition of only 75%, it is possible that missing elements may be reconstructed more precisely. Future technology should integrate a secure wireless connection between microphone and mobile computer. The system could then prove its value for real out-of-hospital emergencies.

Data security and protection in cross-institutional electronic patient records.

This paper aims at identifying the specific legal requirements concerning data security and data protection of patient health data that apply to a cross-institutional electronic patient record (EPR) and describes possible solutions for meeting these requirements. In Germany, the legal framework for such records provide that disclosure of patient health information to physicians of third-party institutions is only allowed in case that it is necessary for the joint treatment of the patient, i.e. in case of a "treatment connection". As a first step, the functionality of a remote-access architecture was proven allowing a one-way connection between the EPR systems of two health institutions in Germany, which jointly treat tumor patients. Besides, a signature system model for ensuring the integrity and authenticity of medical documents was developed and implemented in the existing information system architecture of the University Medical Center of Heidelberg. Especially in Germany, the legal framework for cross-institutional EPRs is very complex and has a considerable influence on the development and implementation of cross-institutional EPRs. However, its introduction is thought to be valuable, since a cross-institutional EPR will improve communication within shared care processes, and thus improve the quality of patient care.